From da07f7186ae85ead2cfc8a119da05e1250d725d8 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Fri, 22 Apr 2022 14:22:37 -0700 Subject: [PATCH 01/42] Add namespace stub --- src/tablecloth/api/column.clj | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 src/tablecloth/api/column.clj diff --git a/src/tablecloth/api/column.clj b/src/tablecloth/api/column.clj new file mode 100644 index 0000000..82731ab --- /dev/null +++ b/src/tablecloth/api/column.clj @@ -0,0 +1,7 @@ +(ns tablecloth.api.column + (:refer-clojure :exclude [group-by]) + (:require [tech.v3.dataset :as ds] + [tech.v3.dataset.column :as col] + [tech.v3.datatype :as dtype])) + + From 9eae7fc7d0a75a350d46cde3b26c03f630178707 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Fri, 22 Apr 2022 14:33:44 -0700 Subject: [PATCH 02/42] Add super naive colunn fn --- src/tablecloth/api/column.clj | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/src/tablecloth/api/column.clj b/src/tablecloth/api/column.clj index 82731ab..9bbd1d4 100644 --- a/src/tablecloth/api/column.clj +++ b/src/tablecloth/api/column.clj @@ -5,3 +5,11 @@ [tech.v3.datatype :as dtype])) +(defn column + ([] (col/new-column nil [])) + ([data] + (column data {:name nil})) + ([data {:keys [name]}] + (col/new-column data))) + + From cfaffc61bb5c26e8ee02ac5f850bce2115bc851b Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sat, 30 Apr 2022 00:28:04 -0700 Subject: [PATCH 03/42] Add some simple column fns --- deps.edn | 2 +- docs/column_exploration.clj | 49 +++++++++++++++++++++++++++++++++++ src/tablecloth/api/column.clj | 12 +++++++-- 3 files changed, 60 insertions(+), 3 deletions(-) create mode 100644 docs/column_exploration.clj diff --git a/deps.edn b/deps.edn index 2a8f2d3..5cecffc 100644 --- a/deps.edn +++ b/deps.edn @@ -4,4 +4,4 @@ ;; generateme/fastmath {:mvn/version "2.1.0"} } - :aliases {:dev {:extra-deps {org.scicloj/clay {:mvn/version "1-alpha9"}}}}} + :aliases {:dev {:extra-deps {org.scicloj/clay {:mvn/version "1-alpha11"}}}}} diff --git a/docs/column_exploration.clj b/docs/column_exploration.clj new file mode 100644 index 0000000..5a354a6 --- /dev/null +++ b/docs/column_exploration.clj @@ -0,0 +1,49 @@ +;; # Tablecloth Column Exploration + +^{:kind/hidden true} +(ns intro + (:require [tablecloth.api :as tc] + [scicloj.clay.v1.api :as clay] + [scicloj.clay.v1.tools :as tools] + [scicloj.clay.v1.tool.scittle :as scittle] + [scicloj.kindly.v2.kind :as kind] + [scicloj.clay.v1.view.dataset] + [nextjournal.clerk :as clerk])) + +^{:kind/hidden true} +(clay/start! {:tools [tools/scittle + tools/clerk]}) + +^{:kind/hidden true} +(comment + (clerk/show!) + + (do (scittle/show-doc! "docs/column_exploration.clj" {:hide-doc? true}) + (scittle/write-html! "docs/column_exploration.html")) + ,) + +;; ## What is this exploration? +;; +;; We want to add a `column` entity to tablecloth that parallels `dataset`. It will make +;; the column a first-class entity within tablecloth. + +;; ## Usage + +(require '[tablecloth.api.column :refer [column] :as col]) + +;; ### Column creation + +;; We can create an empty column like this: + +(column) + +;; We can check if it it's a column. + +(col/column? (column)) + +;; We can create a columns with data in a number of ways + +(column [1 2 3 4]) + +(column (range 10)) + diff --git a/src/tablecloth/api/column.clj b/src/tablecloth/api/column.clj index 9bbd1d4..8ea95b8 100644 --- a/src/tablecloth/api/column.clj +++ b/src/tablecloth/api/column.clj @@ -4,12 +4,20 @@ [tech.v3.dataset.column :as col] [tech.v3.datatype :as dtype])) - (defn column ([] (col/new-column nil [])) ([data] (column data {:name nil})) ([data {:keys [name]}] - (col/new-column data))) + (col/new-column name data))) + + +(defn column? [item] + (= (class item) tech.v3.dataset.impl.column.Column)) + +(defn zeros [n-zeros] + (column (repeatedly n-zeros (constantly 0)))) +(defn ones [n-ones] + (column (repeatedly n-ones (constantly 1)))) From 04c9b41efc9d23a7bb73cae5678857ee45cd45ba Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sat, 11 Jun 2022 10:33:08 +0300 Subject: [PATCH 04/42] Add typeof function for column --- src/tablecloth/api/column.clj | 3 +++ 1 file changed, 3 insertions(+) diff --git a/src/tablecloth/api/column.clj b/src/tablecloth/api/column.clj index 8ea95b8..e16a5cc 100644 --- a/src/tablecloth/api/column.clj +++ b/src/tablecloth/api/column.clj @@ -21,3 +21,6 @@ (defn ones [n-ones] (column (repeatedly n-ones (constantly 1)))) +(defn typeof [col] + (dtype/elemwise-datatype col)) + From 2eeeee85636cdbda3490f1d35f9a6e494c288899 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sat, 11 Jun 2022 10:33:30 +0300 Subject: [PATCH 05/42] Save work on column exploration doc --- docs/column_exploration.clj | 33 +++++++++++++++++++++++++++++++-- 1 file changed, 31 insertions(+), 2 deletions(-) diff --git a/docs/column_exploration.clj b/docs/column_exploration.clj index 5a354a6..583cd08 100644 --- a/docs/column_exploration.clj +++ b/docs/column_exploration.clj @@ -11,8 +11,8 @@ [nextjournal.clerk :as clerk])) ^{:kind/hidden true} -(clay/start! {:tools [tools/scittle - tools/clerk]}) +(clay/restart! {:tools [#_tools/scittle + tools/clerk]}) ^{:kind/hidden true} (comment @@ -47,3 +47,32 @@ (column (range 10)) +;; When you do this the types of the resulting array is determined +;; automatically from the items provided. + +(let [int-column (column (range 10))] + (col/typeof int-column)) + +(let [string-column (column ["foo" "bar"])] + (col/typeof string-column)) + +;; ### Basic Operations + +;; Right now we need to use the functional name space from the +;; underlying computation library tech.v3.datatype to operate on +;; columns. + +(require '[tech.v3.datatype.functional :as fun]) + +;; With that imported we can perform a large number of operations: + +(def a (column [20 30 40 50])) +(def b (column (range 4))) + +(fun/- a b) + +(fun/pow a 2) + +(fun/* 10 (fun/sin a)) + +(fun/< a 35) From e5ef8438df435f90689ad0b4b547020a11c50dfb Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sat, 11 Jun 2022 10:33:45 +0300 Subject: [PATCH 06/42] Upgrade to latest clay version --- deps.edn | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/deps.edn b/deps.edn index 5cecffc..81b0f46 100644 --- a/deps.edn +++ b/deps.edn @@ -4,4 +4,4 @@ ;; generateme/fastmath {:mvn/version "2.1.0"} } - :aliases {:dev {:extra-deps {org.scicloj/clay {:mvn/version "1-alpha11"}}}}} + :aliases {:dev {:extra-deps {org.scicloj/clay {:mvn/version "1-alpha14"}}}}} From bcc3582532f0eb83b6a0a9d41a71b0e64179f8f3 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sat, 11 Jun 2022 10:34:28 +0300 Subject: [PATCH 07/42] Save scratch work in column.clj --- src/tablecloth/api/column.clj | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/src/tablecloth/api/column.clj b/src/tablecloth/api/column.clj index e16a5cc..585b5e2 100644 --- a/src/tablecloth/api/column.clj +++ b/src/tablecloth/api/column.clj @@ -24,3 +24,13 @@ (defn typeof [col] (dtype/elemwise-datatype col)) + + +(comment + (-> [1 2 3 4] + (col/new-column ) + meta) + + (def b (col/parse-column :string [1 2 3])) + + ) From fb07581439860609ec806510bf27607532980f15 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sat, 11 Jun 2022 11:44:22 +0300 Subject: [PATCH 08/42] Polishing up existing column fns * added some docstrings * re-organized a little --- src/tablecloth/api/column.clj | 35 +++++++++++++++++------------------ 1 file changed, 17 insertions(+), 18 deletions(-) diff --git a/src/tablecloth/api/column.clj b/src/tablecloth/api/column.clj index 585b5e2..1f70a5e 100644 --- a/src/tablecloth/api/column.clj +++ b/src/tablecloth/api/column.clj @@ -5,32 +5,31 @@ [tech.v3.datatype :as dtype])) (defn column + "Create a `column` from a vector or sequence. " ([] (col/new-column nil [])) ([data] (column data {:name nil})) ([data {:keys [name]}] (col/new-column name data))) +;; Alias for tech.v3.dasetset.column.is-column? +(defn column? + "Return true or false `item` is a column." + [item] + (col/is-column? item)) -(defn column? [item] - (= (class item) tech.v3.dataset.impl.column.Column)) +;; Alias for tech.v3.datatype.elemwise-datatype` +(defn typeof + "Returns the datatype fo the elements within the column `col`." + [col] + (dtype/elemwise-datatype col)) -(defn zeros [n-zeros] +(defn zeros + "Create a new column filled wth `n-zeros`." + [n-zeros] (column (repeatedly n-zeros (constantly 0)))) -(defn ones [n-ones] +(defn ones + "Creates a new column filled with `n-ones`" + [n-ones] (column (repeatedly n-ones (constantly 1)))) - -(defn typeof [col] - (dtype/elemwise-datatype col)) - - - -(comment - (-> [1 2 3 4] - (col/new-column ) - meta) - - (def b (col/parse-column :string [1 2 3])) - - ) From d433c63982dfd218353610c5a68cbb85be1c9426 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Tue, 21 Jun 2022 14:29:23 +0300 Subject: [PATCH 09/42] Move column ns into own domain tablecloth.column.api --- docs/column_exploration.clj | 4 ++-- src/tablecloth/{api/column.clj => column/api.clj} | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) rename src/tablecloth/{api/column.clj => column/api.clj} (97%) diff --git a/docs/column_exploration.clj b/docs/column_exploration.clj index 583cd08..fa405b8 100644 --- a/docs/column_exploration.clj +++ b/docs/column_exploration.clj @@ -11,7 +11,7 @@ [nextjournal.clerk :as clerk])) ^{:kind/hidden true} -(clay/restart! {:tools [#_tools/scittle +#_(clay/restart! {:tools [#_tools/scittle tools/clerk]}) ^{:kind/hidden true} @@ -29,7 +29,7 @@ ;; ## Usage -(require '[tablecloth.api.column :refer [column] :as col]) +(require '[tablecloth.column.api :refer [column] :as col]) ;; ### Column creation diff --git a/src/tablecloth/api/column.clj b/src/tablecloth/column/api.clj similarity index 97% rename from src/tablecloth/api/column.clj rename to src/tablecloth/column/api.clj index 1f70a5e..f503585 100644 --- a/src/tablecloth/api/column.clj +++ b/src/tablecloth/column/api.clj @@ -1,4 +1,4 @@ -(ns tablecloth.api.column +(ns tablecloth.column.api (:refer-clojure :exclude [group-by]) (:require [tech.v3.dataset :as ds] [tech.v3.dataset.column :as col] From 6a08d61704b738a878cd0da9da13c5f6d1dfa6bf Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Tue, 21 Jun 2022 15:34:48 +0300 Subject: [PATCH 10/42] Add tests for `tablecloth.column.api/column` --- test/tablecloth/column/api_test.clj | 12 ++++++++++++ 1 file changed, 12 insertions(+) create mode 100644 test/tablecloth/column/api_test.clj diff --git a/test/tablecloth/column/api_test.clj b/test/tablecloth/column/api_test.clj new file mode 100644 index 0000000..3530981 --- /dev/null +++ b/test/tablecloth/column/api_test.clj @@ -0,0 +1,12 @@ +(ns tablecloth.column.api-test + (:require [tablecloth.column.api :as api] + [midje.sweet :refer [fact =>]])) + +(fact "`column` returns a column" + (tech.v3.dataset.column/is-column? (api/column)) => true) + +(fact "`column` provides a few ways to generate a column`" + (api/column) => [] + (api/column [1 2 3]) => [1 2 3] + (api/column (list 1 2 3)) =>[1 2 3] + (api/column (range 3)) => [0 1 2]) From 186e7643e0a05a24fdc8398310806b72c6016559 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Tue, 21 Jun 2022 15:49:39 +0300 Subject: [PATCH 11/42] Add tests for `zeros` and `ones` --- test/tablecloth/column/api_test.clj | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/test/tablecloth/column/api_test.clj b/test/tablecloth/column/api_test.clj index 3530981..ecd7a2e 100644 --- a/test/tablecloth/column/api_test.clj +++ b/test/tablecloth/column/api_test.clj @@ -10,3 +10,9 @@ (api/column [1 2 3]) => [1 2 3] (api/column (list 1 2 3)) =>[1 2 3] (api/column (range 3)) => [0 1 2]) + +(fact "`zeros` returns a column filled with zeros" + (api/zeros 3) => [0 0 0]) + +(fact "`ones` returns a column filled with ones" + (api/ones 3) => [1 1 1]) From 851819f0d47e53d253b36cdba702d3477c22f110 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Tue, 21 Jun 2022 18:53:05 +0300 Subject: [PATCH 12/42] Use api template to write public api --- src/tablecloth/column/api.clj | 47 ++++++++++++---------- src/tablecloth/column/api/api_template.clj | 20 +++++++++ src/tablecloth/column/api/column.clj | 35 ++++++++++++++++ 3 files changed, 81 insertions(+), 21 deletions(-) create mode 100644 src/tablecloth/column/api/api_template.clj create mode 100644 src/tablecloth/column/api/column.clj diff --git a/src/tablecloth/column/api.clj b/src/tablecloth/column/api.clj index f503585..53d6a8e 100644 --- a/src/tablecloth/column/api.clj +++ b/src/tablecloth/column/api.clj @@ -1,35 +1,40 @@ (ns tablecloth.column.api - (:refer-clojure :exclude [group-by]) - (:require [tech.v3.dataset :as ds] - [tech.v3.dataset.column :as col] - [tech.v3.datatype :as dtype])) + ;;Autogenerated from tablecloth.column.api.api-template-- DO NOT EDIT + "Tablecloth Column API" + (:require [tablecloth.column.api.api-template] + [tablecloth.column.api.column])) (defn column "Create a `column` from a vector or sequence. " - ([] (col/new-column nil [])) + ([] + (tablecloth.column.api.column/column )) ([data] - (column data {:name nil})) - ([data {:keys [name]}] - (col/new-column name data))) + (tablecloth.column.api.column/column data)) + ([data options] + (tablecloth.column.api.column/column data options))) -;; Alias for tech.v3.dasetset.column.is-column? -(defn column? + +(defn column? "Return true or false `item` is a column." - [item] - (col/is-column? item)) + ([item] + (tablecloth.column.api.column/column? item))) + + +(defn ones + "Creates a new column filled with `n-ones`" + ([n-ones] + (tablecloth.column.api.column/ones n-ones))) + -;; Alias for tech.v3.datatype.elemwise-datatype` (defn typeof "Returns the datatype fo the elements within the column `col`." - [col] - (dtype/elemwise-datatype col)) + ([col] + (tablecloth.column.api.column/typeof col))) + (defn zeros "Create a new column filled wth `n-zeros`." - [n-zeros] - (column (repeatedly n-zeros (constantly 0)))) + ([n-zeros] + (tablecloth.column.api.column/zeros n-zeros))) + -(defn ones - "Creates a new column filled with `n-ones`" - [n-ones] - (column (repeatedly n-ones (constantly 1)))) diff --git a/src/tablecloth/column/api/api_template.clj b/src/tablecloth/column/api/api_template.clj new file mode 100644 index 0000000..e197ce7 --- /dev/null +++ b/src/tablecloth/column/api/api_template.clj @@ -0,0 +1,20 @@ +(ns tablecloth.column.api.api-template + "Tablecloth Column API" + (:require [tech.v3.datatype.export-symbols :as exporter])) + +(exporter/export-symbols tablecloth.column.api.column + column + column? + typeof + zeros + ones + ) + +(comment + (exporter/write-api! 'tablecloth.column.api.api-template + 'tablecloth.column.api + "src/tablecloth/column/api.clj" + '[] + ) + + ) diff --git a/src/tablecloth/column/api/column.clj b/src/tablecloth/column/api/column.clj new file mode 100644 index 0000000..90dee86 --- /dev/null +++ b/src/tablecloth/column/api/column.clj @@ -0,0 +1,35 @@ +(ns tablecloth.column.api.column + (:require [tech.v3.dataset.column :as col] + [tech.v3.datatype :as dtype])) + +(defn column + "Create a `column` from a vector or sequence. " + ([] + (col/new-column nil [])) + ([data] + (column data {:name nil})) + ([data {:keys [name] + :as options}] + (col/new-column name data))) + +;; Alias for tech.v3.dasetset.column.is-column? +(defn column? + "Return true or false `item` is a column." + [item] + (col/is-column? item)) + +;; Alias for tech.v3.datatype.elemwise-datatype` +(defn typeof + "Returns the datatype fo the elements within the column `col`." + [col] + (dtype/elemwise-datatype col)) + +(defn zeros + "Create a new column filled wth `n-zeros`." + [n-zeros] + (column (repeatedly n-zeros (constantly 0)))) + +(defn ones + "Creates a new column filled with `n-ones`" + [n-ones] + (column (repeatedly n-ones (constantly 1)))) From 1d2cef3d463ce970782514c25adb1d7f18e151a9 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sat, 25 Jun 2022 23:18:50 +0300 Subject: [PATCH 13/42] Write tests against `tablecloth.column.api.column` ns --- test/tablecloth/column/api/column_test.clj | 18 ++++++++++++++++++ test/tablecloth/column/api_test.clj | 18 ------------------ 2 files changed, 18 insertions(+), 18 deletions(-) create mode 100644 test/tablecloth/column/api/column_test.clj delete mode 100644 test/tablecloth/column/api_test.clj diff --git a/test/tablecloth/column/api/column_test.clj b/test/tablecloth/column/api/column_test.clj new file mode 100644 index 0000000..4ee8788 --- /dev/null +++ b/test/tablecloth/column/api/column_test.clj @@ -0,0 +1,18 @@ +(ns tablecloth.column.api.column-test + (:require [tablecloth.column.api.column :refer [column zeros ones]] + [midje.sweet :refer [fact =>]])) + +(fact "`column` returns a column" + (tech.v3.dataset.column/is-column? (column)) => true) + +(fact "`column` provides a few ways to generate a column`" + (column) => [] + (column [1 2 3]) => [1 2 3] + (column (list 1 2 3)) =>[1 2 3] + (column (range 3)) => [0 1 2]) + +(fact "`zeros` returns a column filled with zeros" + (zeros 3) => [0 0 0]) + +(fact "`ones` returns a column filled with ones" + (ones 3) => [1 1 1]) diff --git a/test/tablecloth/column/api_test.clj b/test/tablecloth/column/api_test.clj deleted file mode 100644 index ecd7a2e..0000000 --- a/test/tablecloth/column/api_test.clj +++ /dev/null @@ -1,18 +0,0 @@ -(ns tablecloth.column.api-test - (:require [tablecloth.column.api :as api] - [midje.sweet :refer [fact =>]])) - -(fact "`column` returns a column" - (tech.v3.dataset.column/is-column? (api/column)) => true) - -(fact "`column` provides a few ways to generate a column`" - (api/column) => [] - (api/column [1 2 3]) => [1 2 3] - (api/column (list 1 2 3)) =>[1 2 3] - (api/column (range 3)) => [0 1 2]) - -(fact "`zeros` returns a column filled with zeros" - (api/zeros 3) => [0 0 0]) - -(fact "`ones` returns a column filled with ones" - (api/ones 3) => [1 1 1]) From c81d13cb21e474390b5a71fa6585ec8723341dbd Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sun, 26 Jun 2022 11:06:11 +0300 Subject: [PATCH 14/42] Add column exploration html --- docs/column_exploration.html | 3742 ++++++++++++++++++++++++++++++++++ 1 file changed, 3742 insertions(+) create mode 100644 docs/column_exploration.html diff --git a/docs/column_exploration.html b/docs/column_exploration.html new file mode 100644 index 0000000..5b36441 --- /dev/null +++ b/docs/column_exploration.html @@ -0,0 +1,3742 @@ + + + + + +
column_exploration

Tablecloth Column Exploration

What is this exploration?

We want to add a column entity to tablecloth that parallels dataset. It will make the column a first-class entity within tablecloth.

Usage

(require '[tablecloth.column.api :refer [column] :as col])
nil
+

Column creation

We can create an empty column like this:

(column)
#tech.v3.dataset.column[0]
+null
+[]
+

We can check if it it's a column.

(col/column? (column))
true
+

We can create a columns with data in a number of ways

(column [1 2 3 4])
#tech.v3.dataset.column[4]
+null
+[1, 2, 3, 4]
+
(column (range 10))
#tech.v3.dataset.column[10]
+null
+[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
+

When you do this the types of the resulting array is determined automatically from the items provided.

(let [int-column (column (range 10))]
+  (col/typeof int-column))
:int64
+
(let [string-column (column ["foo" "bar"])]
+  (col/typeof string-column))
:string
+

Basic Operations

Right now we need to use the functional name space from the underlying computation library tech.v3.datatype to operate on columns.

(require '[tech.v3.datatype.functional :as fun])
nil
+

With that imported we can perform a large number of operations:

(def a (column [20 30 40 50]))
#'intro/a
+
(def b (column (range 4)))
#'intro/b
+
(fun/- a b)
#array-buffer[4]
+[20, 29, 38, 47]
+
(fun/pow a 2)
#array-buffer[4]
+[400.0, 900.0, 1600, 2500]
+
(fun/* 10 (fun/sin a))
#array-buffer[4]
+[9.129, -9.880, 7.451, -2.624]
+
(fun/< a 35)
#array-buffer[4]
+[true, true, false, false]
+
\ No newline at end of file From 2788e3efb55aff58ebeb76174391f9ed52910984 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sun, 26 Jun 2022 11:44:17 +0300 Subject: [PATCH 15/42] Add `typeof?` function to check datatype of column els --- src/tablecloth/column/api/column.clj | 5 +++++ test/tablecloth/column/api/column_test.clj | 17 ++++++++++++++++- 2 files changed, 21 insertions(+), 1 deletion(-) diff --git a/src/tablecloth/column/api/column.clj b/src/tablecloth/column/api/column.clj index 90dee86..d983a9c 100644 --- a/src/tablecloth/column/api/column.clj +++ b/src/tablecloth/column/api/column.clj @@ -24,6 +24,11 @@ [col] (dtype/elemwise-datatype col)) +(defn typeof? + "True|false the column's elements are of type `dtype`" + [col dtype] + (= (dtype/elemwise-datatype col) dtype)) + (defn zeros "Create a new column filled wth `n-zeros`." [n-zeros] diff --git a/test/tablecloth/column/api/column_test.clj b/test/tablecloth/column/api/column_test.clj index 4ee8788..b7f4c92 100644 --- a/test/tablecloth/column/api/column_test.clj +++ b/test/tablecloth/column/api/column_test.clj @@ -1,5 +1,5 @@ (ns tablecloth.column.api.column-test - (:require [tablecloth.column.api.column :refer [column zeros ones]] + (:require [tablecloth.column.api.column :refer [column zeros ones typeof?]] [midje.sweet :refer [fact =>]])) (fact "`column` returns a column" @@ -11,6 +11,21 @@ (column (list 1 2 3)) =>[1 2 3] (column (range 3)) => [0 1 2]) +(fact "`column` identifies the type of the elements automatically" + (-> [1 2 3] + (column) + (tech.v3.datatype/elemwise-datatype)) => :int64 + (-> [true false true] + (column) + (tech.v3.datatype/elemwise-datatype)) => :boolean + (-> [1 true false] + (column) + (tech.v3.datatype/elemwise-datatype)) => :object) + +(fact "we can check the type of a column's elements with `typeof?`" + (typeof? (column [1 2 3]) :int64) => true + (typeof? (column [true false]) :boolean) => true) + (fact "`zeros` returns a column filled with zeros" (zeros 3) => [0 0 0]) From 14ca93556399e9f828ebd3b8182ccb253e6b6926 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Tue, 5 Jul 2022 11:29:34 +0300 Subject: [PATCH 16/42] Use buffer when creating zeros & ones columns --- src/tablecloth/column/api/column.clj | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/tablecloth/column/api/column.clj b/src/tablecloth/column/api/column.clj index d983a9c..6b93d27 100644 --- a/src/tablecloth/column/api/column.clj +++ b/src/tablecloth/column/api/column.clj @@ -1,6 +1,6 @@ (ns tablecloth.column.api.column (:require [tech.v3.dataset.column :as col] - [tech.v3.datatype :as dtype])) + [tech.v3.datatype :refer [emap]])) (defn column "Create a `column` from a vector or sequence. " @@ -32,9 +32,9 @@ (defn zeros "Create a new column filled wth `n-zeros`." [n-zeros] - (column (repeatedly n-zeros (constantly 0)))) + (column (emap (constantly 0) :int64 (range n-zeros)))) (defn ones "Creates a new column filled with `n-ones`" [n-ones] - (column (repeatedly n-ones (constantly 1)))) + (column (emap (constantly 1) :int64 (range n-ones)))) From 2d1d07ebf30bb0053df68319491b541b84cffe38 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Tue, 5 Jul 2022 12:03:44 +0300 Subject: [PATCH 17/42] Use `dtype` alias in ns --- src/tablecloth/column/api/column.clj | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/tablecloth/column/api/column.clj b/src/tablecloth/column/api/column.clj index 6b93d27..f648b21 100644 --- a/src/tablecloth/column/api/column.clj +++ b/src/tablecloth/column/api/column.clj @@ -1,6 +1,6 @@ (ns tablecloth.column.api.column (:require [tech.v3.dataset.column :as col] - [tech.v3.datatype :refer [emap]])) + [tech.v3.datatype :as dtype])) (defn column "Create a `column` from a vector or sequence. " @@ -32,9 +32,9 @@ (defn zeros "Create a new column filled wth `n-zeros`." [n-zeros] - (column (emap (constantly 0) :int64 (range n-zeros)))) + (column (dtype/emap (constantly 0) :int64 (range n-zeros)))) (defn ones "Creates a new column filled with `n-ones`" [n-ones] - (column (emap (constantly 1) :int64 (range n-ones)))) + (column (dtype/emap (constantly 1) :int64 (range n-ones)))) From e5c8322aba36a97fd01e8cc61dd55d252ab657c5 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Tue, 5 Jul 2022 12:05:06 +0300 Subject: [PATCH 18/42] Add comment to code snippet generating column api --- src/tablecloth/column/api/api_template.clj | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/src/tablecloth/column/api/api_template.clj b/src/tablecloth/column/api/api_template.clj index e197ce7..411a6f4 100644 --- a/src/tablecloth/column/api/api_template.clj +++ b/src/tablecloth/column/api/api_template.clj @@ -11,10 +11,9 @@ ) (comment + // Use this to generate the column api (exporter/write-api! 'tablecloth.column.api.api-template 'tablecloth.column.api "src/tablecloth/column/api.clj" - '[] - ) - - ) + '[]) + ,) From e42a3d91d0f097811af0725a1122da03043c6136 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Tue, 5 Jul 2022 12:05:46 +0300 Subject: [PATCH 19/42] Fix comment syntax --- src/tablecloth/column/api/api_template.clj | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/tablecloth/column/api/api_template.clj b/src/tablecloth/column/api/api_template.clj index 411a6f4..4ceedbd 100644 --- a/src/tablecloth/column/api/api_template.clj +++ b/src/tablecloth/column/api/api_template.clj @@ -11,7 +11,7 @@ ) (comment - // Use this to generate the column api + ;; Use this to generate the column api (exporter/write-api! 'tablecloth.column.api.api-template 'tablecloth.column.api "src/tablecloth/column/api.clj" From 35ec1063c616eb5b4cc4baeb75826636939b51f9 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sun, 17 Jul 2022 19:02:18 +0300 Subject: [PATCH 20/42] Use `tech.v3.datatype/const-reader` for `zeros` and `ones` function --- src/tablecloth/column/api/column.clj | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/tablecloth/column/api/column.clj b/src/tablecloth/column/api/column.clj index f648b21..5fcaf56 100644 --- a/src/tablecloth/column/api/column.clj +++ b/src/tablecloth/column/api/column.clj @@ -32,9 +32,9 @@ (defn zeros "Create a new column filled wth `n-zeros`." [n-zeros] - (column (dtype/emap (constantly 0) :int64 (range n-zeros)))) + (column (dtype/const-reader 0 n-zeros))) (defn ones "Creates a new column filled with `n-ones`" [n-ones] - (column (dtype/emap (constantly 1) :int64 (range n-ones)))) + (column (dtype/const-reader 1 n-ones))) From 6e7413b374fed326df3e9037423abae9c46a4eb2 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Mon, 14 Nov 2022 00:36:48 -0500 Subject: [PATCH 21/42] Update type interface to use type hierarchy in tablecloth.api.util (#76) * Add ->general-types function * Add a general type :logical * Use type hierarchy in tablecloth.api.utils for `typeof` functions * Add column dev branch to pr workflow * Add tests for typeof * Fix tests for typeof * Return the concrete type from `typeof` * Simplify `concrete-types` fn * Optimize ->general-types by using static lookup * Adjust fns listing types * We decided that the default meaning of type points to the "concrete" type, and not the general type. * So `types` now returns the set of concrete types and `general-types` returns the general types. * Revert "Adjust fns listing types" This reverts commit d93e34fc3449f6a2695a8c7225ddf10e51922262. * Fix `typeof` test to test for concerete types * Reorganize `typeof?` tests * Reword docstring for `typeof?` slightly * Update column api template and add missing `typeof?` * Add commment to `general-types-lookup` * Improve `->general-types` docstring * Add `general-types` fn that returns sets of general types * Adjust util `types` fn to return concrete types --- .github/workflows/prs.yml | 1 + src/tablecloth/api/utils.clj | 61 +++++++++++++++++++++- src/tablecloth/column/api.clj | 9 +++- src/tablecloth/column/api/api_template.clj | 4 +- src/tablecloth/column/api/column.clj | 18 ++++--- test/tablecloth/api/utils_test.clj | 4 ++ test/tablecloth/column/api/column_test.clj | 21 ++++++-- 7 files changed, 105 insertions(+), 13 deletions(-) diff --git a/.github/workflows/prs.yml b/.github/workflows/prs.yml index e9fa913..d6e9b06 100644 --- a/.github/workflows/prs.yml +++ b/.github/workflows/prs.yml @@ -4,6 +4,7 @@ on: pull_request: branches: - master + - ethan/column-api-dev-branch-1 jobs: run-tests: diff --git a/src/tablecloth/api/utils.clj b/src/tablecloth/api/utils.clj index a564fbb..b7d228b 100644 --- a/src/tablecloth/api/utils.clj +++ b/src/tablecloth/api/utils.clj @@ -64,7 +64,44 @@ :numerical #{:int8 :int16 :int32 :int64 :uint8 :uint16 :uint32 :uint64 :long :int :short :byte :float32 :float64 :double :float} - :textual #{:text :string}}) + :textual #{:text :string} + :logical #{:boolean}}) + +;; This lookup is hardcoded as an optimization. Downside: this +;; lookup must be kept up to date. However, so long as `type-sets` +;; is up-to-date it can be generated from that set. +(def ^:private general-types-lookup + {:int32 #{:integer :numerical}, + :int16 #{:integer :numerical}, + :float32 #{:float :numerical}, + :packed-local-time #{:datetime}, + :local-date-time #{:datetime}, + :packed-zoned-date-time #{:datetime}, + :float64 #{:float :numerical}, + :long #{:integer :numerical}, + :double #{:float :numerical}, + :short #{:integer :numerical}, + :packed-local-date-time #{:datetime}, + :zoned-date-time #{:datetime}, + :instant #{:datetime}, + :packed-local-date #{:datetime}, + :int #{:integer :numerical}, + :int64 #{:integer :numerical}, + :local-time #{:datetime}, + :packed-duration #{:datetime}, + :uint64 #{:integer :numerical}, + :float #{:float :numerical}, + :duration #{:datetime}, + :string #{:textual}, + :uint16 #{:integer :numerical}, + :int8 #{:integer :numerical}, + :uint32 #{:integer :numerical}, + :byte #{:integer :numerical}, + :local-date #{:datetime}, + :boolean #{:logical}, + :packed-instant #{:datetime}, + :text #{:textual}, + :uint8 #{:integer :numerical}}) (defn type? ([general-type] @@ -73,11 +110,33 @@ ([general-type datatype] ((type-sets general-type) datatype))) +(defn ->general-types + "Given a concrete `datatype` (e.g. `:int32`), returns the general + set of general types (e.g. `#{:integer numerical}`)." + [datatype] + (general-types-lookup datatype)) + +(defn types + "Returns the set of concrete types e.g. (:int32, :float32, etc)" + [] + (apply clojure.set/union (vals type-sets))) + +(defn general-types + "Returns the set of general types e.g. (:integer, :logical, etc)" + [] + (vals type-sets)) + +(defn concrete-type? + "Returns true if `datatype` is a concrete datatype (e.g. :int32)." + [datatype] + (not (nil? ((types) datatype)))) + (defn- prepare-datatype-set [datatype-columns-selector] (let [k (-> datatype-columns-selector name keyword)] (get type-sets k #{k}))) + (defn- filter-column-names "Filter column names" [ds columns-selector meta-field] diff --git a/src/tablecloth/column/api.clj b/src/tablecloth/column/api.clj index 53d6a8e..78597cb 100644 --- a/src/tablecloth/column/api.clj +++ b/src/tablecloth/column/api.clj @@ -27,11 +27,18 @@ (defn typeof - "Returns the datatype fo the elements within the column `col`." + "Returns the concrete type of the elements within the column `col`." ([col] (tablecloth.column.api.column/typeof col))) +(defn typeof? + "True|false the column's elements are of the provided type `datatype`. + Works with concrete types (e.g. :int32) or general types (e.g. :numerical)." + ([col datatype] + (tablecloth.column.api.column/typeof? col datatype))) + + (defn zeros "Create a new column filled wth `n-zeros`." ([n-zeros] diff --git a/src/tablecloth/column/api/api_template.clj b/src/tablecloth/column/api/api_template.clj index 4ceedbd..8dd6c33 100644 --- a/src/tablecloth/column/api/api_template.clj +++ b/src/tablecloth/column/api/api_template.clj @@ -6,9 +6,9 @@ column column? typeof + typeof? zeros - ones - ) + ones) (comment ;; Use this to generate the column api diff --git a/src/tablecloth/column/api/column.clj b/src/tablecloth/column/api/column.clj index 5fcaf56..4617482 100644 --- a/src/tablecloth/column/api/column.clj +++ b/src/tablecloth/column/api/column.clj @@ -1,6 +1,7 @@ (ns tablecloth.column.api.column (:require [tech.v3.dataset.column :as col] - [tech.v3.datatype :as dtype])) + [tech.v3.datatype :as dtype] + [tablecloth.api.utils :refer [->general-types concrete-type? type?]])) (defn column "Create a `column` from a vector or sequence. " @@ -18,16 +19,19 @@ [item] (col/is-column? item)) -;; Alias for tech.v3.datatype.elemwise-datatype` (defn typeof - "Returns the datatype fo the elements within the column `col`." + "Returns the concrete type of the elements within the column `col`." [col] (dtype/elemwise-datatype col)) (defn typeof? - "True|false the column's elements are of type `dtype`" - [col dtype] - (= (dtype/elemwise-datatype col) dtype)) + "True|false the column's elements are of the provided type `datatype`. Can check + both concrete types (e.g. :int32) or general types (:numerical, :textual, etc)." + [col datatype] + (let [concrete-type-of-els (dtype/elemwise-datatype col)] + (if (concrete-type? datatype) + (= datatype concrete-type-of-els) + (not (nil? (type? datatype concrete-type-of-els)))))) (defn zeros "Create a new column filled wth `n-zeros`." @@ -38,3 +42,5 @@ "Creates a new column filled with `n-ones`" [n-ones] (column (dtype/const-reader 1 n-ones))) + + diff --git a/test/tablecloth/api/utils_test.clj b/test/tablecloth/api/utils_test.clj index 820a4e5..ef40d58 100644 --- a/test/tablecloth/api/utils_test.clj +++ b/test/tablecloth/api/utils_test.clj @@ -134,3 +134,7 @@ => '(4 6 3 6 2 0 5 1 2 4 2)))) +(fact "->general-types describes the set of general types for a concrete datatype" + (sut/->general-types :int32) => #{:integer :numerical} + (sut/->general-types :float32) => #{:float :numerical} + (sut/->general-types :string) => #{:textual}) diff --git a/test/tablecloth/column/api/column_test.clj b/test/tablecloth/column/api/column_test.clj index b7f4c92..a6a3b3e 100644 --- a/test/tablecloth/column/api/column_test.clj +++ b/test/tablecloth/column/api/column_test.clj @@ -1,5 +1,5 @@ (ns tablecloth.column.api.column-test - (:require [tablecloth.column.api.column :refer [column zeros ones typeof?]] + (:require [tablecloth.column.api.column :refer [column zeros ones typeof? typeof]] [midje.sweet :refer [fact =>]])) (fact "`column` returns a column" @@ -22,9 +22,24 @@ (column) (tech.v3.datatype/elemwise-datatype)) => :object) -(fact "we can check the type of a column's elements with `typeof?`" +(fact "`typeof` returns the concrete type of the elements" + (typeof (column [1 2 3])) => :int64 + (typeof (column ["a" "b" "c"])) => :string + (typeof (column [true false])) => :boolean) + +(fact "`typeof?` can check the concerete type of column elements" (typeof? (column [1 2 3]) :int64) => true - (typeof? (column [true false]) :boolean) => true) + (typeof? (column [1 2 3]) :int32) => false + (typeof? (column ["a" "b" "c"]) :string) => true) + +(fact "`typeof?` can check the general type of column elements" + (typeof? (column [1 2 3]) :integer) => true + (typeof? (column [1 2 3]) :textual) => false + (typeof? (column [1.0 2.0 3.0]) :numerical) => true + (typeof? (column [1.0 2.0 3.0]) :logical) => false + (typeof? (column ["a" "b" "c"]) :textual) => true + (typeof? (column ["a" "b" "c"]) :numerical) => false + (typeof? (column [true false true]) :logical) => true) (fact "`zeros` returns a column filled with zeros" (zeros 3) => [0 0 0]) From 5dc5065805e5548d429c5b95e999efb899978f91 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Fri, 10 Feb 2023 12:28:47 -0500 Subject: [PATCH 22/42] Lift `tech.v3.datatype.functional` operations (#90) * Add ->general-types function * Add a general type :logical * Use type hierarchy in tablecloth.api.utils for `typeof` functions * Add column dev branch to pr workflow * Add tests for typeof * Fix tests for typeof * Return the concrete type from `typeof` * Simplify `concrete-types` fn * Optimize ->general-types by using static lookup * Adjust fns listing types * We decided that the default meaning of type points to the "concrete" type, and not the general type. * So `types` now returns the set of concrete types and `general-types` returns the general types. * Revert "Adjust fns listing types" This reverts commit d93e34fc3449f6a2695a8c7225ddf10e51922262. * Fix `typeof` test to test for concerete types * Reorganize `typeof?` tests * Reword docstring for `typeof?` slightly * Update column api template and add missing `typeof?` * Add commment to `general-types-lookup` * Improve `->general-types` docstring * Add `general-types` fn that returns sets of general types * Adjust util `types` fn to return concrete types * Save changes to column api.clj * Save ongoing experiments with lifting * Save ongoing work on lifting * Adjust lift-ops-1 to handle any number of args with rest arg * Working `rearrange-args` fn * Save work actually writing lifted fns * Saving first attempt to writer operators * Add `percentiiles test * Adjust `rearrange-args to take new-args in option map * Unify two lift functions * Add in docstrings when present * Move lift utils into utils ns * Rename lifting namespaces * Lift some more fns * Make exclusions for ns header helper an arg * Add new operators and tests * Add ops with lhs rhs arg pattern * Lift '* * Add require to operators ns for utils * Update test to make it more complete * Lift `equals * Make test more accurate * Reorganize tests * Fix grammar * Lift 'shift * Uncomment 'or test * Lift 'normalize op * Life 'magnitude * Lifting bit manipulation ops * lift ieee-remainder * Lifting more functions * Add excludes * Lift a bunch of new functions * Alphebetize some lists * More alphebitization * Clean up * Instead of using `col` as arg conform to using `x & and `y * Temporarily disable failing test fix in 7.000-beta23 * Disable the correct test * Just some minor cleanup in op tests * Some more cleanup/reorg in op tests * Update generated operators namespace with switch from col -> x etc * Lift 'descriptive-statistics * Fix messed up test layout * Lift 'quartiles * Lift 'fill-range and a bunch of reduce operations * Lift 'mean-fast 'sum-fast 'magnitude-squared * Lift correlation fns kendalls, pearsons, and spearmans * Lift cumulative ops * cleanup --- src/tablecloth/column/api/lift_operators.clj | 195 ++ src/tablecloth/column/api/operators.clj | 1689 +++++++++++++++++ src/tablecloth/column/api/utils.clj | 88 + test/tablecloth/column/api/column_test.clj | 8 +- test/tablecloth/column/api/operators_test.clj | 220 +++ 5 files changed, 2197 insertions(+), 3 deletions(-) create mode 100644 src/tablecloth/column/api/lift_operators.clj create mode 100644 src/tablecloth/column/api/operators.clj create mode 100644 src/tablecloth/column/api/utils.clj create mode 100644 test/tablecloth/column/api/operators_test.clj diff --git a/src/tablecloth/column/api/lift_operators.clj b/src/tablecloth/column/api/lift_operators.clj new file mode 100644 index 0000000..333d120 --- /dev/null +++ b/src/tablecloth/column/api/lift_operators.clj @@ -0,0 +1,195 @@ +(ns tablecloth.column.api.lift-operators + (:require [tablecloth.column.api.utils :refer [do-lift lift-op]])) + +(def serialized-lift-fn-lookup + {['* + '+ + '- + '/ + '< + '<= + '> + '>= + 'abs + 'acos + 'and + 'asin + 'atan + 'atan2 + 'bit-and + 'bit-and-not + 'bit-clear + 'bit-flip + 'bit-not + 'bit-or + 'bit-set + 'bit-shift-left + 'bit-shift-right + #_bit-test ;; can't get this to work yet. + 'bit-xor + 'cbrt + 'ceil + 'cos + 'cosh + 'distance + 'distance-squared + 'dot-product + 'eq + 'equals + 'exp + 'expm1 + 'floor + 'get-significand + 'hypot + 'identity + 'ieee-remainder + 'log + 'log10 + 'log1p + 'logistic + 'magnitude + 'max + 'min + 'next-down + 'next-up + 'normalize + 'not-eq + 'or + 'pow + 'quot + 'rem + 'rint + 'signum + 'sin + 'sinh + 'sq + 'sqrt + 'tan + 'tanh + 'to-degrees + 'to-radians + 'ulp + 'unsigned-bit-shift-right] lift-op + ['kurtosis + 'sum + 'mean + 'skew + 'variance + 'standard-deviation + 'quartile-3 + 'quartile-1 + 'median] (fn [fn-sym fn-meta] + (lift-op + fn-sym fn-meta + {:new-args '([col] [col options]) + :new-args-lookup {'data 'col + 'options 'options}})) + ['even? + 'finite? + 'infinite? + 'mathematical-integer? + 'nan? + 'neg? + 'not + 'odd? + 'pos? + 'round + 'zero?] + (fn [fn-sym fn-meta] + (lift-op + fn-sym fn-meta + {:new-args '([x] [x options]) + :new-args-lookup {'arg 'x + 'options 'options}})) + ['percentiles] (fn [fn-sym fn-meta] + (lift-op + fn-sym fn-meta + {:new-args '([x percentiles] [x percentiles options]) + :new-args-lookup {'data 'x, + 'percentages 'percentiles, + 'options 'options}})) + ['shift] (fn [fn-sym fn-meta] + (lift-op + fn-sym fn-meta + {:new-args '([x n]) + :new-args-lookup {'rdr 'x + 'n 'n}})) + ['descriptive-statistics] (fn [fn-sym fn-meta] + (lift-op + fn-sym fn-meta + {:new-args '([x stats-names stats-data options] + [x stats-names options] + [x stats-names] + [x]) + :new-args-lookup {'rdr 'x + 'src-rdr 'x + 'stats-names 'stats-names + 'stats-data 'stats-data + 'options 'options}})) + ['quartiles] (fn [fn-sym fn-meta] + (lift-op + fn-sym fn-meta + {:new-args '([x options] [x]) + :new-args-lookup {'item 'x + 'options 'options}})) + ['fill-range] (fn [fn-sym fn-meta] + (lift-op + fn-sym fn-meta + {:new-args '([x max-span]) + :new-args-lookup {'numeric-data 'x + 'max-span 'max-span}})) + ['reduce-min + 'reduce-max + 'reduce-* + 'reduce-+] (fn [fn-sym fn-meta] + (lift-op + fn-sym fn-meta + {:new-args '([x]) + :new-args-lookup {'rdr 'x}})) + ['mean-fast + 'sum-fast + 'magnitude-squared] (fn [fn-sym fn-meta] + (lift-op + fn-sym fn-meta + {:new-args '([x]) + :new-args-lookup {'data 'x}})) + ['kendalls-correlation + 'pearsons-correlation + 'spearmans-correlation] (fn [fn-sym fn-meta] + (lift-op + fn-sym fn-meta + {:new-args '([x y] [x y options]) + :new-args-lookup {'lhs 'x + 'rhs 'y + 'options 'options}})) + ['cumprod + 'cumsum + 'cummax + 'cummin] (fn [fn-sym fn-meta] + (lift-op + fn-sym fn-meta + {:new-args '([x] [x options]) + :new-args-lookup {'data 'x + 'options 'options}}))}) + + +(defn deserialize-lift-fn-lookup [] + (reduce (fn [m [symlist liftfn]] + (loop [syms symlist + result m] + (if (empty? syms) + result + (recur (rest syms) (assoc result (first syms) liftfn))))) + {} + serialized-lift-fn-lookup)) + +(comment + (do-lift (deserialize-lift-fn-lookup) + 'tablecloth.column.api.operators + 'tech.v3.datatype.functional + '[* + - / < <= > >= abs and bit-and bit-and-not bit-clear bit-flip + bit-not bit-or bit-set bit-shift-left bit-shift-right bit-test bit-xor + even? identity infinite? max min neg? not odd? odd? or pos? quot rem + unsigned-bit-shift-right zero?] + "src/tablecloth/column/api/operators.clj") + ,) diff --git a/src/tablecloth/column/api/operators.clj b/src/tablecloth/column/api/operators.clj new file mode 100644 index 0000000..e8a56d7 --- /dev/null +++ b/src/tablecloth/column/api/operators.clj @@ -0,0 +1,1689 @@ +(ns + tablecloth.column.api.operators + (:require [tech.v3.datatype.functional] [tablecloth.column.api.utils]) + (:refer-clojure + :exclude + [* + + + - + / + < + <= + > + >= + abs + and + bit-and + bit-and-not + bit-clear + bit-flip + bit-not + bit-or + bit-set + bit-shift-left + bit-shift-right + bit-test + bit-xor + even? + identity + infinite? + max + min + neg? + not + odd? + odd? + or + pos? + quot + rem + unsigned-bit-shift-right + zero?])) + +(defn + kurtosis + "" + ([col] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/kurtosis col)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([col options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/kurtosis col options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + bit-set + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/bit-set x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/bit-set x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + finite? + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/finite? x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/finite? x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + distance + "" + ([lhs rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/distance lhs rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + reduce-min + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/reduce-min x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + to-radians + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/to-radians x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/to-radians x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + bit-shift-right + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/bit-shift-right x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply + tech.v3.datatype.functional/bit-shift-right + x + y + args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + ieee-remainder + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/ieee-remainder x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply + tech.v3.datatype.functional/ieee-remainder + x + y + args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + log + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/log x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/log x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + bit-shift-left + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/bit-shift-left x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply + tech.v3.datatype.functional/bit-shift-left + x + y + args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + acos + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/acos x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/acos x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + to-degrees + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/to-degrees x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/to-degrees x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + < + "" + ([lhs mid rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/< lhs mid rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([lhs rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/< lhs rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + floor + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/floor x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/floor x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + atan2 + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/atan2 x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/atan2 x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + normalize + "" + ([item] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/normalize item)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + hypot + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/hypot x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/hypot x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + tanh + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/tanh x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/tanh x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + sq + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/sq x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/sq x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + fill-range + "Given a reader of numeric data and a max span amount, produce\n a new reader where the difference between any two consecutive elements\n is less than or equal to the max span amount. Also return a bitmap of the added\n indexes. Uses linear interpolation to fill in areas, operates in double space.\n Returns\n {:result :missing}" + ([x max-span] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/fill-range x max-span)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + sum + "Double sum of data using\n [Kahan compensated summation](https://en.wikipedia.org/wiki/Kahan_summation_algorithm)." + ([col] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/sum col)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([col options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/sum col options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + pos? + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/pos? x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/pos? x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + shift + "Shift by n and fill in with the first element for n>0 or last element for n<0.\n\n Examples:\n\n```clojure\nuser> (dfn/shift (range 10) 2)\n[0 0 0 1 2 3 4 5 6 7]\nuser> (dfn/shift (range 10) -2)\n[2 3 4 5 6 7 8 9 9 9]\n```" + ([x n] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/shift x n)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + ceil + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/ceil x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/ceil x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + bit-xor + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/bit-xor x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/bit-xor x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + unsigned-bit-shift-right + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/unsigned-bit-shift-right x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply + tech.v3.datatype.functional/unsigned-bit-shift-right + x + y + args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + neg? + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/neg? x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/neg? x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + <= + "" + ([lhs mid rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/<= lhs mid rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([lhs rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/<= lhs rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + * + "" + ([x y] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/* x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/* x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + min + "" + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/min x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/min x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/min x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + atan + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/atan x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/atan x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + mathematical-integer? + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/mathematical-integer? x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/mathematical-integer? x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + cumprod + "Cumulative running product; returns result in double space.\n\n Options:\n\n * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`. Defaults to `:remove`." + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/cumprod x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/cumprod options x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + expm1 + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/expm1 x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/expm1 x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + identity + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/identity x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/identity x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + reduce-max + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/reduce-max x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + cumsum + "Cumulative running summation; returns result in double space.\n\n Options:\n\n * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`. Defaults to `:remove`." + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/cumsum x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/cumsum options x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + descriptive-statistics + "Calculate a set of descriptive statistics on a single reader.\n\n Available stats:\n #{:min :quartile-1 :sum :mean :mode :median :quartile-3 :max\n :variance :standard-deviation :skew :n-elems :kurtosis}\n\n options\n - `:nan-strategy` - defaults to :remove, one of\n [:keep :remove :exception]. The fastest option is :keep but this\n may result in your results having NaN's in them. You can also pass\n in a double predicate to filter custom double values." + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/descriptive-statistics x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x stats-names] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/descriptive-statistics stats-names x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x stats-names options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/descriptive-statistics + stats-names + options + x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x stats-names stats-data options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/descriptive-statistics + stats-names + stats-data + options + x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + nan? + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/nan? x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/nan? x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + bit-and-not + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/bit-and-not x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply + tech.v3.datatype.functional/bit-and-not + x + y + args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + logistic + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/logistic x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/logistic x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + cos + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/cos x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/cos x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + log10 + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/log10 x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/log10 x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + quot + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/quot x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/quot x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + dot-product + "" + ([lhs rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/dot-product lhs rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + tan + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/tan x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/tan x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + cbrt + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/cbrt x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/cbrt x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + eq + "" + ([lhs rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/eq lhs rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + mean + "double mean of data" + ([col] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/mean col)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([col options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/mean col options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + > + "" + ([lhs mid rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/> lhs mid rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([lhs rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/> lhs rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + not-eq + "" + ([lhs rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/not-eq lhs rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + even? + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/even? x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/even? x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + spearmans-correlation + "" + ([x y] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/spearmans-correlation x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x y options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/spearmans-correlation options x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + sqrt + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/sqrt x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/sqrt x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + reduce-* + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/reduce-* x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + next-down + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/next-down x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/next-down x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + - + "" + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/- x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/- x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/- x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + or + "" + ([lhs rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/or lhs rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + distance-squared + "" + ([lhs rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/distance-squared lhs rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + pow + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/pow x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/pow x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + next-up + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/next-up x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/next-up x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + skew + "" + ([col] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/skew col)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([col options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/skew col options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + exp + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/exp x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/exp x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + mean-fast + "Take the mean of the data. This operation doesn't know anything about nan hence it is\n a bit faster than the base [[mean]] fn." + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/mean-fast x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + zero? + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/zero? x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/zero? x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + rem + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/rem x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/rem x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + cosh + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/cosh x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/cosh x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + variance + "" + ([col] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/variance col)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([col options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/variance col options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + reduce-+ + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/reduce-+ x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + get-significand + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/get-significand x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/get-significand x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + bit-and + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/bit-and x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/bit-and x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + kendalls-correlation + "" + ([x y] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/kendalls-correlation x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x y options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/kendalls-correlation options x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + not + "" + ([x] + (let + [original-result__44239__auto__ (tech.v3.datatype.functional/not x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/not x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + standard-deviation + "" + ([col] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/standard-deviation col)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([col options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/standard-deviation col options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + cummin + "Cumulative running min; returns result in double space.\n\n Options:\n\n * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`. Defaults to `:remove`." + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/cummin x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/cummin options x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + magnitude + "" + ([item _options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/magnitude item _options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([item] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/magnitude item)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + cummax + "Cumulative running max; returns result in double space.\n\n Options:\n\n * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`. Defaults to `:remove`." + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/cummax x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/cummax options x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + / + "" + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional// x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional// x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional// x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + bit-or + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/bit-or x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/bit-or x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + equals + "" + ([lhs rhs & args] + (let + [original-result__44240__auto__ + (clojure.core/apply + tech.v3.datatype.functional/equals + lhs + rhs + args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + >= + "" + ([lhs mid rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/>= lhs mid rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([lhs rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/>= lhs rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + bit-flip + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/bit-flip x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/bit-flip x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + log1p + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/log1p x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/log1p x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + asin + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/asin x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/asin x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + quartiles + "return [min, 25 50 75 max] of item" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/quartiles x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/quartiles options x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + quartile-3 + "" + ([col] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/quartile-3 col)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([col options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/quartile-3 col options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + infinite? + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/infinite? x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/infinite? x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + round + "Vectorized implementation of Math/round. Operates in double space\n but returns a long or long reader." + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/round x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/round x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + quartile-1 + "" + ([col] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/quartile-1 col)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([col options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/quartile-1 col options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + odd? + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/odd? x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/odd? x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + bit-clear + "" + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/bit-clear x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply + tech.v3.datatype.functional/bit-clear + x + y + args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + + + "" + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/+ x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/+ x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/+ x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + abs + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/abs x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/abs x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + median + "" + ([col] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/median col)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([col options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/median col options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + pearsons-correlation + "" + ([x y] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/pearsons-correlation x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x y options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/pearsons-correlation options x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + sinh + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/sinh x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/sinh x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + rint + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/rint x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/rint x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + bit-not + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/bit-not x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/bit-not x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + max + "" + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/max x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/max x y)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x y & args] + (let + [original-result__44240__auto__ + (clojure.core/apply tech.v3.datatype.functional/max x y args)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + ulp + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/ulp x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/ulp x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + percentiles + "Create a reader of percentile values, one for each percentage passed in.\n Estimation types are in the set of #{:r1,r2...legacy} and are described\n here: https://commons.apache.org/proper/commons-math/javadocs/api-3.3/index.html.\n\n nan-strategy can be one of [:keep :remove :exception] and defaults to :exception." + ([x percentiles] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/percentiles percentiles x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__))) + ([x percentiles options] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/percentiles percentiles options x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + sin + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/sin x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ (tech.v3.datatype.functional/sin x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + sum-fast + "Find the sum of the data. This operation is neither nan-aware nor does it implement\n kahans compensation although via parallelization it implements pairwise summation\n compensation. For a more but slightly slower but far more correct sum operator,\n use [[sum]]." + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/sum-fast x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + signum + "" + ([x options] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/signum x options)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__))) + ([x] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/signum x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + +(defn + magnitude-squared + "" + ([x] + (let + [original-result__44239__auto__ + (tech.v3.datatype.functional/magnitude-squared x)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44239__auto__)))) + +(defn + and + "" + ([lhs rhs] + (let + [original-result__44240__auto__ + (tech.v3.datatype.functional/and lhs rhs)] + (tablecloth.column.api.utils/return-scalar-or-column + original-result__44240__auto__)))) + diff --git a/src/tablecloth/column/api/utils.clj b/src/tablecloth/column/api/utils.clj new file mode 100644 index 0000000..ed703e7 --- /dev/null +++ b/src/tablecloth/column/api/utils.clj @@ -0,0 +1,88 @@ +(ns tablecloth.column.api.utils + (:import [java.io Writer]) + (:require [tech.v3.datatype.export-symbols :as exporter] + [tech.v3.datatype.argtypes :refer [arg-type]] + [tablecloth.column.api :refer [column]] + [tech.v3.datatype.functional :as fun] + [clojure.java.io :as io])) + +(defn return-scalar-or-column [item] + (let [item-type (arg-type item)] + (if (= item-type :reader) + (column item) + item))) + +(defn lift-op + ([fn-sym fn-meta] + (lift-op fn-sym fn-meta nil)) + ([fn-sym fn-meta {:keys [new-args new-args-lookup]}] + (let [defn (symbol "defn") + let (symbol "let") + docstring (:doc fn-meta) + original-args (:arglists fn-meta) + sort-by-arg-count (fn [argslist] + (sort #(< (count %1) (count %2)) argslist))] + (if new-args + `(~defn ~(symbol (name fn-sym)) + ~(or docstring "") + ~@(for [[new-arg original-arg] (zipmap (sort-by-arg-count new-args) + (sort-by-arg-count original-args)) + :let [filtered-original-arg (filter (partial not= '&) original-arg)]] + (list + (if new-arg new-arg original-arg) + `(~let [original-result# (~fn-sym + ~@(if (nil? new-args-lookup) + filtered-original-arg + (for [oldarg filtered-original-arg] + (get new-args-lookup oldarg))))] + (return-scalar-or-column original-result#))))) + `(~defn ~(symbol (name fn-sym)) + ~(or docstring "") + ~@(for [arg original-args + :let [[explicit-args rest-arg-expr] (split-with (partial not= '&) arg)]] + (list + arg + `(~let [original-result# ~(if (empty? rest-arg-expr) + `(~fn-sym ~@explicit-args) + `(apply ~fn-sym ~@explicit-args ~(second rest-arg-expr)))] + (return-scalar-or-column original-result#))))))))) + +(defn- writeln! + ^Writer [^Writer writer strdata & strdatas] + (.append writer (str strdata)) + (doseq [data strdatas] + (when data + (.append writer (str data)))) + (.append writer "\n") + writer) + +(defn- write-empty-ln! ^Writer [^Writer writer] + (writeln! writer "") + writer) + +(defn- write-pp ^Writer [^Writer writer item] + (clojure.pprint/pprint item writer) + writer) + +(defn get-lifted [lift-fn-lookup source-ns] + (let [fun-mappings (ns-publics source-ns)] + (map (fn [[fnsym lift-fn]] + (lift-fn (symbol (name source-ns) (name fnsym)) + (meta (get fun-mappings fnsym)))) + lift-fn-lookup))) + +(defn get-ns-header [target-ns source-ns ns-exclusions] + (let [ns (symbol "ns")] + `(~ns ~target-ns + (:require [~source-ns] + [tablecloth.column.api.utils]) + (:refer-clojure :exclude ~ns-exclusions)))) + +(defn do-lift [lift-plan target-ns source-ns ns-exclusions filename] + (with-open [writer (io/writer filename :append false)] + (write-pp writer (get-ns-header target-ns source-ns ns-exclusions)) + (write-empty-ln! writer) + (doseq [f (get-lifted lift-plan source-ns)] + (-> writer + (write-pp f) + (write-empty-ln!))))) diff --git a/test/tablecloth/column/api/column_test.clj b/test/tablecloth/column/api/column_test.clj index a6a3b3e..3b77c51 100644 --- a/test/tablecloth/column/api/column_test.clj +++ b/test/tablecloth/column/api/column_test.clj @@ -18,9 +18,11 @@ (-> [true false true] (column) (tech.v3.datatype/elemwise-datatype)) => :boolean - (-> [1 true false] - (column) - (tech.v3.datatype/elemwise-datatype)) => :object) + ;; disable this test until TC reaches 7.00-beta2 + ;;(-> [1 true false] + ;; (column) + ;; (tech.v3.datatype/elemwise-datatype)) => :object + ) (fact "`typeof` returns the concrete type of the elements" (typeof (column [1 2 3])) => :int64 diff --git a/test/tablecloth/column/api/operators_test.clj b/test/tablecloth/column/api/operators_test.clj new file mode 100644 index 0000000..6c4d2ac --- /dev/null +++ b/test/tablecloth/column/api/operators_test.clj @@ -0,0 +1,220 @@ +(ns tablecloth.column.api.operators-test + (:refer-clojure :exclude [* + - / < <= > >= abs and bit-and bit-and-not bit-clear bit-flip + bit-not bit-or bit-set bit-shift-left bit-shift-right bit-test bit-xor + even? identity infinite? max min neg? not odd? odd? or pos? quot rem + unsigned-bit-shift-right zero?]) + (:require [midje.sweet :refer [fact facts =>]] + [clojure.test :refer [deftest is]] + [tablecloth.column.api :refer [column column? typeof]]) + (:use [tablecloth.column.api.operators])) + +(tech.v3.datatype.functional/spearmans-correlation [1 2] [2 1]) + +(defn sample-column [n] + (column (repeatedly n #(rand-int 100)))) + +(defn scalar? [item] + (= (tech.v3.datatype.argtypes/arg-type item) + :scalar)) + +(facts + "about 'shift" + (let [a (column [1 2 3 4 5])] + (shift a 2) => [1 1 1 2 3])) + +(facts + "about 'descriptive-statistics" + (let [a (sample-column 5)] + ;; sanity check that we got the hash with desired data + (descriptive-statistics a) => #(contains? % :standard-deviation))) + +(facts + "about 'quartiles" + (let [a (sample-column 100)] + (quartiles a) => column? + ;; sanity check quartiles should return a coumn of 5 values + (count (quartiles a)) => 5)) + +(facts + "about 'fill-range" + (let [result (fill-range [1 5] 1)] + (contains? result :result) => true + (contains? result :missing) => true)) + +(facts +"about ops that take a single column and return a column" +(let [ops [abs + acos + asin + atan + bit-not + cbrt + ceil + cos + cosh + cumprod + cumsum + cummax + cummin + exp + expm1 + floor + get-significand + identity + log + log10 + log1p + logistic + next-down + next-up + normalize + rint + signum + sin + sinh + sq + sqrt + tan + tanh + to-degrees + to-radians + ulp] + a (sample-column 5)] + (doseq [op ops] + (op a) => column?))) + +(facts + "about ops that take a single column and return a scalar" + (let [ops [magnitude + reduce-max + reduce-min + reduce-* + reduce-+ + mean-fast + sum-fast + magnitude-squared] + a (sample-column 5)] + (doseq [op ops] + (op a) => scalar?))) + +(facts + "about ops that take one or more columns or scalars and return either a scalar or a column" + (let [ops [/ - +] + a (sample-column 5) + b (sample-column 5) + c (sample-column 5) + d (sample-column 5)] + (doseq [op ops] + (op a) => column? + (op a b) => column? + (op a b c) => column? + (op a b c d) => column? + (op 1) => scalar? + (op 1 2) => scalar? + (op 1 2 3) => scalar?))) + +(facts + "about comparison ops that take two or more columns and return a boolean" + (let [ops [> >= < <=] + a (sample-column 5) + b (sample-column 5) + c (sample-column 5)] + (doseq [op ops] + (op a b) => column? + (op a b c) => column? + (op 1 2) => boolean?))) + +(facts + "about comparison ops that take two columns and return a boolean" + (let [ops [equals] + a (sample-column 5) + b (sample-column 5)] + (doseq [op ops] + (op a b) => boolean?))) + +(facts + "about comparison ops that take two columns or scalars and return a boolean or column of booleans" + (let [ops [or and eq not-eq] + a (sample-column 5) + b (sample-column 5)] + (doseq [op ops] + (op a b) => column? + (typeof (op a b)) => :boolean + (op 1 2) => boolean?))) + +(facts + "about ops that take a single column or scalar and return a scalar" + (let [ops [kurtosis + sum + mean + skew + variance + standard-deviation + quartile-3 + quartile-1 + median] + a (sample-column 5)] + (doseq [op ops] + (op a) => scalar?))) + +(facts + "about ops that take two or more scalars or columns and return a column or scalar" + (let [ops [* + bit-and + bit-and-not + bit-clear + bit-flip + bit-or + bit-set + bit-shift-right + bit-shift-left + ;; bit-test + bit-xor + hypot + ieee-remainder + max + min + pow + quot + rem + unsigned-bit-shift-right + ] + a (sample-column 5) + b (sample-column 5) + c (sample-column 5)] + (doseq [op ops] + (op a b) => column? + (op a b c) => column? + (op 5 5) + (op 5 5 5)))) + +(facts + "about ops that take left-hand / right-hand columns and return a scalar" + (let [ops [distance + dot-product + distance-squared + kendalls-correlation + pearsons-correlation + spearmans-correlation] + a (sample-column 5) + b (sample-column 5)] + (doseq [op ops] + (op a b) => scalar?))) + +(facts + "about ops that take a single column or scalar and return boolean or column of booleans" + (let [ops [finite? + pos? + neg? + mathematical-integer? + nan? + even? + zero? + not + infinite? + odd?] + a (sample-column 5)] + (doseq [op ops] + (op a) => column? + (typeof (op a)) => :boolean + (op 1) => boolean?))) From ff85c2270a8ec1eb2f5f5406f855ecd76f4bd987 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sat, 11 Feb 2023 14:21:22 -0500 Subject: [PATCH 23/42] Bring column exploration doc up-to-date (#95) * Upgrade to latest clay version * Show using tablecloth.column.api.operators ns * Cleanup whitespace --- deps.edn | 2 +- docs/column_exploration.clj | 40 ++++++++++++++++++------------------- 2 files changed, 20 insertions(+), 22 deletions(-) diff --git a/deps.edn b/deps.edn index 7b8b3a6..1b97492 100644 --- a/deps.edn +++ b/deps.edn @@ -4,4 +4,4 @@ techascent/tech.ml.dataset {:mvn/version "7.000-beta-27"} ;; generateme/fastmath {:mvn/version "2.1.0"} } - :aliases {:dev {:extra-deps {org.scicloj/clay {:mvn/version "1-alpha14"}}}}} + :aliases {:dev {:extra-deps {org.scicloj/clay {:mvn/version "2-alpha12"}}}}} diff --git a/docs/column_exploration.clj b/docs/column_exploration.clj index fa405b8..7185618 100644 --- a/docs/column_exploration.clj +++ b/docs/column_exploration.clj @@ -3,23 +3,17 @@ ^{:kind/hidden true} (ns intro (:require [tablecloth.api :as tc] - [scicloj.clay.v1.api :as clay] - [scicloj.clay.v1.tools :as tools] - [scicloj.clay.v1.tool.scittle :as scittle] - [scicloj.kindly.v2.kind :as kind] - [scicloj.clay.v1.view.dataset] - [nextjournal.clerk :as clerk])) + [scicloj.clay.v2.api :as clay] + [scicloj.kindly.v3.api :as kindly] + [scicloj.kindly.v3.kind :as kind] + )) ^{:kind/hidden true} -#_(clay/restart! {:tools [#_tools/scittle - tools/clerk]}) +(clay/start!) ^{:kind/hidden true} (comment - (clerk/show!) - - (do (scittle/show-doc! "docs/column_exploration.clj" {:hide-doc? true}) - (scittle/write-html! "docs/column_exploration.html")) + (do (clay/show-doc! "docs/column_exploration.clj" {:hide-doc? true})) ,) ;; ## What is this exploration? @@ -58,21 +52,25 @@ ;; ### Basic Operations -;; Right now we need to use the functional name space from the -;; underlying computation library tech.v3.datatype to operate on -;; columns. - -(require '[tech.v3.datatype.functional :as fun]) +;; Operations are right now in their own namespace +(require '[tablecloth.column.api.operators :as ops]) ;; With that imported we can perform a large number of operations: (def a (column [20 30 40 50])) (def b (column (range 4))) -(fun/- a b) +(ops/- a b) + +(ops/pow a 2) + +(ops/* 10 (fun/sin a)) -(fun/pow a 2) +(ops/< a 35) -(fun/* 10 (fun/sin a)) +;; All these operations take a column as their first argument and +;; return a column, so they can be chained easily. -(fun/< a 35) +(-> a + (ops/* b) + (ops/< 70)) From 905c68e2a62fb5b217461b0b8e6630e8f8f99874 Mon Sep 17 00:00:00 2001 From: Ethan Miller Date: Sun, 5 Mar 2023 13:17:09 -0500 Subject: [PATCH 24/42] Add method for subsetting (#96) * Export tech.ml.dataset `select` fn for column api * Update docstring exported to api * Update column-exploration with basic illustration of select * Add `slice` * clean up tests a bit * Improve `slice` docstring slightly * Export `slice` to column api * Add stuff about `slice` to column exploration doc * Move accesssing & subsetting seciton above basic ops * Update column_expolration.html * Update comment block --- docs/column_exploration.clj | 79 +++++++++++++++++++++- docs/column_exploration.html | 71 ++----------------- src/tablecloth/column/api.clj | 42 +++++++++++- src/tablecloth/column/api/api_template.clj | 4 ++ src/tablecloth/column/api/column.clj | 27 ++++++++ test/tablecloth/column/api/column_test.clj | 28 +++++++- 6 files changed, 177 insertions(+), 74 deletions(-) diff --git a/docs/column_exploration.clj b/docs/column_exploration.clj index 7185618..31e5220 100644 --- a/docs/column_exploration.clj +++ b/docs/column_exploration.clj @@ -13,7 +13,8 @@ ^{:kind/hidden true} (comment - (do (clay/show-doc! "docs/column_exploration.clj" {:hide-doc? true})) + (clay/show-doc! "docs/column_exploration.clj" {:hide-doc? true}) + (clay/write-html! "docs/column_exploration.html") ,) ;; ## What is this exploration? @@ -50,6 +51,79 @@ (let [string-column (column ["foo" "bar"])] (col/typeof string-column)) +;; ### Subsetting and accesssing + +;; You can access an element in a column in exactly the same ways you +;; would in Clojure. + +(def myclm (column (range 5))) + +myclm + +(myclm 2) + +(nth myclm 2) + +(get myclm 2) + +;; #### Selecting multiple elements + +;; There are two ways to select multiple elements from a column: +;; * If you need to select a continuous subset, you can use `slice`; +;; * if you may need to select diverse elements, use `select`. +;; + +;; **Slice** + +;; The `slice` method allows you to use indexes to specify a portion +;; of the column to extract. + +(def myclm + (column (repeatedly 10 #(rand-int 10)))) + +myclm + +(col/slice myclm 3 5) + + +;; It also supports negative indexing, making it possible to slice +;; from the end of the column: + +(col/slice myclm -7 -5) + +;; It's also possible to slice from one direction to the beginning or +;; end: + +(col/slice myclm 7 :end) + +(col/slice myclm -3 :end) + +(col/slice myclm :start 7) + +(col/slice myclm :start -3) + +;; **Select** +;; +;; The `select` fn works by taking a list of index positions: + +(col/select myclm [1 3 5 8]) + +;; We can combine this type of selection with the operations just +;; demonstrated to select certain values. + + +myclm + +;; Let's see which positions are greter than 5. +(ops/> myclm 5) + + +;; We can use a column of boolean values like the one above with the `select` function as well. `select` will choose all the positions that are true. It's like supplying select a list of the index positions that hold true values. +(col/select myclm (ops/> myclm 5)) + + + + ;; ### Basic Operations ;; Operations are right now in their own namespace @@ -64,7 +138,7 @@ (ops/pow a 2) -(ops/* 10 (fun/sin a)) +(ops/* 10 (ops/sin a)) (ops/< a 35) @@ -74,3 +148,4 @@ (-> a (ops/* b) (ops/< 70)) + diff --git a/docs/column_exploration.html b/docs/column_exploration.html index 5b36441..aabfb94 100644 --- a/docs/column_exploration.html +++ b/docs/column_exploration.html @@ -28,71 +28,12 @@ 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column_exploration

Tablecloth Column Exploration

What is this exploration?

We want to add a column entity to tablecloth that parallels dataset. It will make the column a first-class entity within tablecloth.

Usage

(require '[tablecloth.column.api :refer [column] :as col])
nil
-

Column creation

We can create an empty column like this:

(column)
#tech.v3.dataset.column[0]
-null
-[]
-

We can check if it it's a column.

(col/column? (column))
true
-

We can create a columns with data in a number of ways

(column [1 2 3 4])
#tech.v3.dataset.column[4]
-null
-[1, 2, 3, 4]
-
(column (range 10))
#tech.v3.dataset.column[10]
-null
-[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
-

When you do this the types of the resulting array is determined automatically from the items provided.

(let [int-column (column (range 10))]
-  (col/typeof int-column))
:int64
-
(let [string-column (column ["foo" "bar"])]
-  (col/typeof string-column))
:string
-

Basic Operations

Right now we need to use the functional name space from the underlying computation library tech.v3.datatype to operate on columns.

(require '[tech.v3.datatype.functional :as fun])
nil
-

With that imported we can perform a large number of operations:

(def a (column [20 30 40 50]))
#'intro/a
-
(def b (column (range 4)))
#'intro/b
-
(fun/- a b)
#array-buffer[4]
-[20, 29, 38, 47]
-
(fun/pow a 2)
#array-buffer[4]
-[400.0, 900.0, 1600, 2500]
-
(fun/* 10 (fun/sin a))
#array-buffer[4]
-[9.129, -9.880, 7.451, -2.624]
-
(fun/< a 35)
#array-buffer[4]
-[true, true, false, false]
+}
docs/column_exploration.html
[:wrote "docs/intro.html"]
 

\ No newline at end of file
diff --git a/src/tablecloth/column/api.clj b/src/tablecloth/column/api.clj
index 78597cb..47293cf 100644
--- a/src/tablecloth/column/api.clj
+++ b/src/tablecloth/column/api.clj
@@ -2,7 +2,8 @@
   ;;Autogenerated from tablecloth.column.api.api-template-- DO NOT EDIT
   "Tablecloth Column API"
   (:require [tablecloth.column.api.api-template]
-            [tablecloth.column.api.column]))
+            [tablecloth.column.api.column]
+            [tech.v3.dataset.column]))
 
 (defn column
   "Create a `column` from a vector or sequence. "
@@ -26,6 +27,41 @@
   (tablecloth.column.api.column/ones n-ones)))
 
 
+(defn select
+  "Return a new column with the subset of indexes based on the provided `selection`.
+  `selection` can be a list of indexes to select or boolean values where the index
+  position of each true element indicates a index to select. When supplying a list
+  of indices, duplicates are possible and will select the specified position more
+  than once."
+  ([col selection]
+  (tech.v3.dataset.column/select col selection)))
+
+
+(defn slice
+  "Returns a subset of the column defined by the inclusive `from` and
+  `to` indexes. If `to` is not provided, slices to the end of the
+  column. If `from` is not provided (i.e. is `nil`), slices from the
+  beginning of the column. If either `from` or `to` is a negative
+  number, it is treated as an index from the end of the column. The
+  `:start` and `:end` keywords can be used to represent the start and
+  end of the column, respectively.
+
+  Examples:
+  (def column [1 2 3 4 5])
+  (slice column 1 3)     ;=> [2 3]
+  (slice column 2)        ;=> [3 4 5]
+  (slice column -3 -1)    ;=> [3 4 5]
+  (slice column :start 2) ;=> [1 2 3 4 5]
+  (slice column 2 :end)   ;=> [3 4 5]
+  (slice column -2 :end)  ;=> [4 5]"
+  ([col from]
+  (tablecloth.column.api.column/slice col from))
+  ([col from to]
+  (tablecloth.column.api.column/slice col from to))
+  ([col from to step]
+  (tablecloth.column.api.column/slice col from to step)))
+
+
 (defn typeof
   "Returns the concrete type of the elements within the column `col`."
   ([col]
@@ -33,8 +69,8 @@
 
 
 (defn typeof?
-  "True|false the column's elements are of the provided type `datatype`.
-   Works with concrete types (e.g. :int32) or general types (e.g. :numerical)."
+  "True|false the column's elements are of the provided type `datatype`. Can check
+   both concrete types (e.g. :int32) or general types (:numerical, :textual, etc)."
   ([col datatype]
   (tablecloth.column.api.column/typeof? col datatype)))
 
diff --git a/src/tablecloth/column/api/api_template.clj b/src/tablecloth/column/api/api_template.clj
index 8dd6c33..e37a4ea 100644
--- a/src/tablecloth/column/api/api_template.clj
+++ b/src/tablecloth/column/api/api_template.clj
@@ -7,9 +7,13 @@
                          column?
                          typeof
                          typeof?
+                         slice
                          zeros
                          ones)
 
+(exporter/export-symbols tech.v3.dataset.column
+                         select)
+
 (comment
   ;; Use this to generate the column api
   (exporter/write-api! 'tablecloth.column.api.api-template
diff --git a/src/tablecloth/column/api/column.clj b/src/tablecloth/column/api/column.clj
index 4617482..3f77033 100644
--- a/src/tablecloth/column/api/column.clj
+++ b/src/tablecloth/column/api/column.clj
@@ -43,4 +43,31 @@
   [n-ones]
   (column (dtype/const-reader 1 n-ones)))
 
+(defn slice
+  "Returns a subset of the column defined by the inclusive `from` and
+  `to` indexes. If `to` is not provided, slices to the end of the
+  column. If `from` is not provided (i.e. is `nil`), slices from the
+  beginning of the column. If either `from` or `to` is a negative
+  number, it is treated as an index from the end of the column. The
+  `:start` and `:end` keywords can be used to represent the start and
+  end of the column, respectively.
 
+  Examples:
+  (def column [1 2 3 4 5])
+  (slice column 1 3)     ;=> [2 3]
+  (slice column 2)        ;=> [3 4 5]
+  (slice column -3 -1)    ;=> [3 4 5]
+  (slice column :start 2) ;=> [1 2 3 4 5]
+  (slice column 2 :end)   ;=> [3 4 5]
+  (slice column -2 :end)  ;=> [4 5]"
+  ([col from]
+   (slice col from :end))
+  ([col from to]
+   (slice col from to 1))
+  ([col from to step]
+   (let [len (count col)
+         from (or (when-not (or (= from :start) (nil? from)) from) 0)
+         to (or (when-not (or (= to :end) (nil? :end)) to) (dec len))]
+     (col/select col (range (if (neg? from) (+ len from) from)
+                            (inc (if (neg? to) (+ len to) to))
+                            step)))))
diff --git a/test/tablecloth/column/api/column_test.clj b/test/tablecloth/column/api/column_test.clj
index 3b77c51..30980a5 100644
--- a/test/tablecloth/column/api/column_test.clj
+++ b/test/tablecloth/column/api/column_test.clj
@@ -1,6 +1,6 @@
 (ns tablecloth.column.api.column-test
-  (:require [tablecloth.column.api.column :refer [column zeros ones typeof? typeof]] 
-            [midje.sweet :refer [fact =>]]))
+  (:require [tablecloth.column.api.column :refer [column zeros ones typeof? typeof slice]] 
+            [midje.sweet :refer [fact facts =>]]))
 
 (fact "`column` returns a column"
       (tech.v3.dataset.column/is-column? (column)) => true)
@@ -48,3 +48,27 @@
 
 (fact "`ones` returns a column filled with ones"
       (ones 3) => [1 1 1])
+
+(facts "about `slice`"
+       (let [c (column [1 2 3 4 5])]
+        (fact "it return a subset of a column inclusively"
+              (slice c 0 0) => [1]
+              (slice c 0 4) => [1 2 3 4 5])
+        (fact "it supports negative indexing inclusively"
+              (slice c 0 -1)
+              (slice c -1 -1) => [5]
+              (slice c -3 -1) => [3 4 5])
+        (fact "it supports 0 within negative indexing"
+              (slice c 0 -2) => [1 2 3 4])
+        (fact "it supports stepped slicing"
+              (slice c 0 4 2) => [1 3 5])
+        (fact "it supports using nil to indicate slice from start or end"
+              (slice c 2) => [3 4 5]
+              (slice c -2) => [4 5]
+              (slice c nil 2) => [1 2 3]
+              (slice c nil -2) => [1 2 3 4])
+        (fact "it supports special keywords for selecting from start or end"
+              (slice c :start 2) => [1 2 3]
+              (slice c 1 :end) => [2 3 4 5]
+              (slice c -4 :end) => [2 3 4 5]
+              (slice c :start -3) => [1 2 3])))

From 1ca99110502d676633805ab4854e3a644a6d4066 Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Fri, 10 Mar 2023 10:52:49 -0500
Subject: [PATCH 25/42] Add iteration support by wrapping
 tech.v3.dataset.column/column-map (#97)

* Export tech.ml.dataset `select` fn for column api

* Update docstring exported to api

* Update column-exploration with basic illustration of select

* Add `slice`

* clean up tests a bit

* Improve `slice` docstring slightly

* Export `slice` to column api

* Add stuff about `slice` to column exploration doc

* Move accesssing & subsetting seciton above basic ops

* Update column_expolration.html

* Update comment block

* Add column-map wrapper over tech.v3.dataset.column/column-mapping

* Accepts columns in the first position to support use with pipes
* If `col` is a vector of columns, then map-fn is run on all

* Fix arg name

* Clean up

* Add iteration to column exploration and reorganize

* Add column-map to column api_template

* Add example of using column-map with multiple columns

* Update column_exploration html doc

* Update column_exploration html doc
---
 docs/column_exploration.clj                |  61 ++++++++-----
 docs/column_exploration.html               | 100 ++++++++++++++++++++-
 src/tablecloth/column/api.clj              |  18 ++++
 src/tablecloth/column/api/api_template.clj |   1 +
 src/tablecloth/column/api/column.clj       |  19 ++++
 5 files changed, 174 insertions(+), 25 deletions(-)

diff --git a/docs/column_exploration.clj b/docs/column_exploration.clj
index 31e5220..d4c5bcf 100644
--- a/docs/column_exploration.clj
+++ b/docs/column_exploration.clj
@@ -51,6 +51,32 @@
 (let [string-column (column ["foo" "bar"])]
   (col/typeof string-column))
 
+
+;; ### Basic Operations
+
+;; Operations are right now in their own namespace
+(require '[tablecloth.column.api.operators :as ops])
+
+;; With that imported we can perform a large number of operations:
+
+(def a (column [20 30 40 50]))
+(def b (column (range 4)))
+
+(ops/- a b)
+
+(ops/pow a 2)
+
+(ops/* 10 (ops/sin a))
+
+(ops/< a 35)
+
+;; All these operations take a column as their first argument and
+;; return a column, so they can be chained easily.
+
+(-> a
+    (ops/* b)
+    (ops/< 70))
+
 ;; ### Subsetting and accesssing
 
 ;; You can access an element in a column in exactly the same ways you
@@ -122,30 +148,21 @@ myclm
 (col/select myclm (ops/> myclm 5))
 
 
+;; ### Iterating Over Column
 
+;; Many operations that you might want to perform on a column are
+;; available in the `tablecloth.column.api.operators` namespace.
+;; However, when there is a need to do something custom, you can also
+;; interate over the column.
 
-;; ### Basic Operations
-
-;; Operations are right now in their own namespace
-(require '[tablecloth.column.api.operators :as ops])
-
-;; With that imported we can perform a large number of operations:
-
-(def a (column [20 30 40 50]))
-(def b (column (range 4)))
-
-(ops/- a b)
-
-(ops/pow a 2)
-
-(ops/* 10 (ops/sin a))
-
-(ops/< a 35)
+(defn calc-percent [x]
+  (/ x 100.0))
 
-;; All these operations take a column as their first argument and
-;; return a column, so they can be chained easily.
+(col/column-map myclm calc-percent)
 
-(-> a
-    (ops/* b)
-    (ops/< 70))
+;; It's also possible to iterate over multiple columns by supplying a
+;; vector of columns:
 
+(-> [(column [5 6 7 8 9])
+     (column [1 2 3 4 5])]
+    (col/column-map (partial *)))
diff --git a/docs/column_exploration.html b/docs/column_exploration.html
index aabfb94..c08a4dc 100644
--- a/docs/column_exploration.html
+++ b/docs/column_exploration.html
@@ -33,8 +33,26 @@
   background-color: #f0f0f0;
   padding: 2px;
   .bg-light;
-}
docs/column_exploration.html
[:wrote "docs/intro.html"]
-

\ No newline at end of file
+(defn compute [[fname & args] result-state result-path] (POST "/compute" {:headers {"Accept" "application/json"}, :params (pr-str {:fname fname, :args args}), :handler (fn [response] (swap! result-state assoc-in result-path (read-string response))), :error-handler (fn [e] (.log js/console (str e)))}))
+(def widget2 nil)
+(dom/render (fn [] widget2) (.getElementById js/document "widget2"))
+(def widget4 nil)
+(dom/render (fn [] widget4) (.getElementById js/document "widget4"))
+(def widget6 nil)
+(dom/render (fn [] widget6) (.getElementById js/document "widget6"))
+(def widget9 [:div [:pre [:code.language-clojure "nil\n"]]])
+(dom/render (fn [] widget9) (.getElementById js/document "widget9"))
+(def widget12 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[0]\nnull\n[]\n"]]])
+(dom/render (fn [] widget12) (.getElementById js/document "widget12"))
+(def widget15 [:div [:pre [:code.language-clojure "true\n"]]])
+(dom/render (fn [] widget15) (.getElementById js/document "widget15"))
+(def widget18 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[4]\nnull\n[1, 2, 3, 4]\n"]]])
+(dom/render (fn [] widget18) (.getElementById js/document "widget18"))
+(def widget20 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[10]\nnull\n[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n"]]])
+(dom/render (fn [] widget20) (.getElementById js/document "widget20"))
+(def widget23 [:div [:pre [:code.language-clojure ":int64\n"]]])
+(dom/render (fn [] widget23) (.getElementById js/document "widget23"))
+(def widget25 [:div [:pre [:code.language-clojure ":string\n"]]])
+(dom/render (fn [] widget25) (.getElementById js/document "widget25"))
+(def widget28 [:div [:pre [:code.language-clojure "nil\n"]]])
+(dom/render (fn [] widget28) (.getElementById js/document "widget28"))
+(def widget31 nil)
+(dom/render (fn [] widget31) (.getElementById js/document "widget31"))
+(def widget33 nil)
+(dom/render (fn [] widget33) (.getElementById js/document "widget33"))
+(def widget35 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[4]\nnull\n[20, 29, 38, 47]\n"]]])
+(dom/render (fn [] widget35) (.getElementById js/document "widget35"))
+(def widget37 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[4]\nnull\n[400.0, 900.0, 1600, 2500]\n"]]])
+(dom/render (fn [] widget37) (.getElementById js/document "widget37"))
+(def widget39 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[4]\nnull\n[9.129, -9.880, 7.451, -2.624]\n"]]])
+(dom/render (fn [] widget39) (.getElementById js/document "widget39"))
+(def widget41 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[4]\nnull\n[true, true, false, false]\n"]]])
+(dom/render (fn [] widget41) (.getElementById js/document "widget41"))
+(def widget44 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[4]\nnull\n[true, true, false, false]\n"]]])
+(dom/render (fn [] widget44) (.getElementById js/document "widget44"))
+(def widget47 nil)
+(dom/render (fn [] widget47) (.getElementById js/document "widget47"))
+(def widget49 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[5]\nnull\n[0, 1, 2, 3, 4]\n"]]])
+(dom/render (fn [] widget49) (.getElementById js/document "widget49"))
+(def widget51 [:div [:pre [:code.language-clojure "2\n"]]])
+(dom/render (fn [] widget51) (.getElementById js/document "widget51"))
+(def widget53 [:div [:pre [:code.language-clojure "2\n"]]])
+(dom/render (fn [] widget53) (.getElementById js/document "widget53"))
+(def widget55 [:div [:pre [:code.language-clojure "2\n"]]])
+(dom/render (fn [] widget55) (.getElementById js/document "widget55"))
+(def widget58 nil)
+(dom/render (fn [] widget58) (.getElementById js/document "widget58"))
+(def widget60 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[10]\nnull\n[9, 5, 7, 2, 0, 3, 1, 0, 3, 2]\n"]]])
+(dom/render (fn [] widget60) (.getElementById js/document "widget60"))
+(def widget62 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[3]\nnull\n[2, 0, 3]\n"]]])
+(dom/render (fn [] widget62) (.getElementById js/document "widget62"))
+(def widget65 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[3]\nnull\n[2, 0, 3]\n"]]])
+(dom/render (fn [] widget65) (.getElementById js/document "widget65"))
+(def widget68 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[3]\nnull\n[0, 3, 2]\n"]]])
+(dom/render (fn [] widget68) (.getElementById js/document "widget68"))
+(def widget70 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[3]\nnull\n[0, 3, 2]\n"]]])
+(dom/render (fn [] widget70) (.getElementById js/document "widget70"))
+(def widget72 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[8]\nnull\n[9, 5, 7, 2, 0, 3, 1, 0]\n"]]])
+(dom/render (fn [] widget72) (.getElementById js/document "widget72"))
+(def widget74 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[8]\nnull\n[9, 5, 7, 2, 0, 3, 1, 0]\n"]]])
+(dom/render (fn [] widget74) (.getElementById js/document "widget74"))
+(def widget77 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[4]\nnull\n[5, 2, 3, 3]\n"]]])
+(dom/render (fn [] widget77) (.getElementById js/document "widget77"))
+(def widget80 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[10]\nnull\n[9, 5, 7, 2, 0, 3, 1, 0, 3, 2]\n"]]])
+(dom/render (fn [] widget80) (.getElementById js/document "widget80"))
+(def widget83 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[10]\nnull\n[true, false, true, false, false, false, false, false, false, false]\n"]]])
+(dom/render (fn [] widget83) (.getElementById js/document "widget83"))
+(def widget86 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[2]\nnull\n[9, 7]\n"]]])
+(dom/render (fn [] widget86) (.getElementById js/document "widget86"))
+(def widget89 nil)
+(dom/render (fn [] widget89) (.getElementById js/document "widget89"))
+(def widget91 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[10]\n:_unnamed\n[0.09000, 0.05000, 0.07000, 0.02000, 0.000, 0.03000, 0.01000, 0.000, 0.03000, 0.02000]\n"]]])
+(dom/render (fn [] widget91) (.getElementById js/document "widget91"))
+(def widget94 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[5]\n:_unnamed\n[5, 12, 21, 32, 45]\n"]]])
+(dom/render (fn [] widget94) (.getElementById js/document "widget94"))
\ No newline at end of file
diff --git a/src/tablecloth/column/api.clj b/src/tablecloth/column/api.clj
index 47293cf..62747fe 100644
--- a/src/tablecloth/column/api.clj
+++ b/src/tablecloth/column/api.clj
@@ -15,6 +15,24 @@
   (tablecloth.column.api.column/column data options)))
 
 
+(defn column-map
+  "Applies a map function `map-fn` to one or more columns. If `col` is
+  a vector of columns, `map-fn` must have an arity equal to the number
+  of columns. The datatype of the resulting column will be inferred,
+  unless specified in the `options` map. Missing values can be handled
+  by providing a `:missing-fn` in the options map.
+
+  options:
+  - :datatype   - The desired datatype of the resulting column. The datatype
+                  is inferred if not provided
+  - :missing-fn - A function that takes a sequence of columns, and returns a
+                  set of missing index positions."
+  ([col map-fn]
+  (tablecloth.column.api.column/column-map col map-fn))
+  ([col map-fn options]
+  (tablecloth.column.api.column/column-map col map-fn options)))
+
+
 (defn column?
   "Return true or false `item` is a column."
   ([item]
diff --git a/src/tablecloth/column/api/api_template.clj b/src/tablecloth/column/api/api_template.clj
index e37a4ea..08e4dee 100644
--- a/src/tablecloth/column/api/api_template.clj
+++ b/src/tablecloth/column/api/api_template.clj
@@ -5,6 +5,7 @@
 (exporter/export-symbols tablecloth.column.api.column
                          column
                          column?
+                         column-map
                          typeof
                          typeof?
                          slice
diff --git a/src/tablecloth/column/api/column.clj b/src/tablecloth/column/api/column.clj
index 3f77033..eef8fbe 100644
--- a/src/tablecloth/column/api/column.clj
+++ b/src/tablecloth/column/api/column.clj
@@ -71,3 +71,22 @@
      (col/select col (range (if (neg? from) (+ len from) from)
                             (inc (if (neg? to) (+ len to) to))
                             step)))))
+
+(defn column-map
+  "Applies a map function `map-fn` to one or more columns. If `col` is
+  a vector of columns, `map-fn` must have an arity equal to the number
+  of columns. The datatype of the resulting column will be inferred,
+  unless specified in the `options` map. Missing values can be handled
+  by providing a `:missing-fn` in the options map.
+
+  options:
+  - :datatype   - The desired datatype of the resulting column. The datatype
+                  is inferred if not provided
+  - :missing-fn - A function that takes a sequence of columns, and returns a
+                  set of missing index positions."
+  ([col map-fn]
+   (column-map col map-fn {}))
+  ([col map-fn options]
+   (if (vector? col)
+     (apply col/column-map map-fn options col)
+     (col/column-map map-fn options col))))

From ece8388b58e1ec0a21849a6d26af31880fa3536f Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Sun, 12 Mar 2023 15:44:40 -0400
Subject: [PATCH 26/42] Add sorting support for column (#99)

* Add rough version of `sort-column` with some tests

* Add basic docstring

* Add support for `:asc` and `:desc` to sort-column

* Add note to handle missing values

* Make slight improvement to sort-column docstringa
---
 src/tablecloth/column/api/column.clj       | 23 ++++++++++++++++++++++
 test/tablecloth/column/api/column_test.clj | 21 ++++++++++++++++++--
 2 files changed, 42 insertions(+), 2 deletions(-)

diff --git a/src/tablecloth/column/api/column.clj b/src/tablecloth/column/api/column.clj
index eef8fbe..15d3c5d 100644
--- a/src/tablecloth/column/api/column.clj
+++ b/src/tablecloth/column/api/column.clj
@@ -1,6 +1,8 @@
 (ns tablecloth.column.api.column
   (:require [tech.v3.dataset.column :as col]
             [tech.v3.datatype :as dtype]
+            [tech.v3.datatype.functional :as fun]
+            [tech.v3.datatype.argops :refer [argsort]]
             [tablecloth.api.utils :refer [->general-types concrete-type? type?]]))
 
 (defn column
@@ -72,6 +74,27 @@
                             (inc (if (neg? to) (+ len to) to))
                             step)))))
 
+;;handle missing values
+(defn sort-column
+  "Returns a sorted version of the column `col`. You can supply the ordering
+  keywords `:asc` or `:desc` or a comparator function to `order-or-comparator`.
+  If no comparator function is provided, the column will be sorted in
+  ascending order."
+  ([col]
+   (sort-column col :asc))
+  ([col order-or-comparator]
+   (if (not (or (= :asc order-or-comparator)
+                (= :desc order-or-comparator)
+                (fn? order-or-comparator)))
+     (throw (IllegalArgumentException.
+             "`order-or-comparator` must be `:asc`, `:desc`, or a function.")))
+   (let [order-fn-lookup {:asc fun/<, :desc fun/>}
+         comparator-fn (if (fn? order-or-comparator)
+                         order-or-comparator
+                         (order-fn-lookup order-or-comparator)) 
+         sorted-indices (argsort comparator-fn col)]
+     (col/select col sorted-indices))))
+
 (defn column-map
   "Applies a map function `map-fn` to one or more columns. If `col` is
   a vector of columns, `map-fn` must have an arity equal to the number
diff --git a/test/tablecloth/column/api/column_test.clj b/test/tablecloth/column/api/column_test.clj
index 30980a5..2e4b840 100644
--- a/test/tablecloth/column/api/column_test.clj
+++ b/test/tablecloth/column/api/column_test.clj
@@ -1,9 +1,11 @@
 (ns tablecloth.column.api.column-test
-  (:require [tablecloth.column.api.column :refer [column zeros ones typeof? typeof slice]] 
+  (:require [tablecloth.column.api.column :refer [column zeros ones typeof?
+                                                  typeof slice sort-column]] 
+            [tech.v3.dataset.column :refer [is-column?]]
             [midje.sweet :refer [fact facts =>]]))
 
 (fact "`column` returns a column"
-      (tech.v3.dataset.column/is-column? (column)) => true)
+      (is-column? (column)) => true)
 
 (fact "`column` provides a few ways to generate a column`"
       (column) => []
@@ -72,3 +74,18 @@
               (slice c 1 :end) => [2 3 4 5]
               (slice c -4 :end) => [2 3 4 5]
               (slice c :start -3) => [1 2 3])))
+
+(facts "about `sort-column`"
+       (let [c-ints (column [3 100 9 0 -10 43])
+             c-strings (column ["a" "z" "baz" "fo" "bar" "foo"])]
+         (fact "it returns a column"
+               (sort-column c-ints) => is-column?)
+         (fact "it sorts in ascending order by default"
+               (sort-column c-ints) => [-10 0 3 9 43 100]
+               (sort-column c-strings) => ["a" "bar" "baz" "fo" "foo" "z"])
+         (fact "it accepts a comparator-fn"
+               (sort-column c-strings
+                            #(> (count %1) (count %2))) => ["baz" "bar" "foo" "fo" "z" "a"])))
+
+
+

From b9c5019b91667feb4586eb5eb301501135aef955 Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Fri, 14 Apr 2023 09:45:43 -0400
Subject: [PATCH 27/42] Improve support for missing values for column api
 (#101)

* Export tech.ml.dataset `select` fn for column api

* Update docstring exported to api

* Update column-exploration with basic illustration of select

* Add `slice`

* clean up tests a bit

* Improve `slice` docstring slightly

* Export `slice` to column api

* Add stuff about `slice` to column exploration doc

* Move accesssing & subsetting seciton above basic ops

* Update column_expolration.html

* Update comment block

* Add column-map wrapper over tech.v3.dataset.column/column-mapping

* Accepts columns in the first position to support use with pipes
* If `col` is a vector of columns, then map-fn is run on all

* Fix arg name

* Clean up

* Add iteration to column exploration and reorganize

* Add column-map to column api_template

* Add example of using column-map with multiple columns

* Update column_exploration html doc

* Update column_exploration html doc

* Export tech.v3.dataset.column's missing fns

* Remove `set-missing`

I think this may be more of an internal fn

* Add `count-missing` function

* Add test for `sort-column` for missing values

* Activate test that wil now pass due to tmd upgrade

* Add sort-column to api-template

* Add sort-column section to column_exploration doc

* Add more missing apidoc

* move fns to their own namespace to mirror main tc api
* add `drop-missing` and `replace-missing`

* Add details about missing api to column exploration

* Add a exmaple of using count to column exploration

* Add a few simple tests for missing ns

* Fix docstrings
---
 docs/column_exploration.clj                 | 76 ++++++++++++++++++++-
 docs/column_exploration.html                | 76 ++++++++++++++++-----
 src/tablecloth/column/api.clj               | 61 +++++++++++++++++
 src/tablecloth/column/api/api_template.clj  | 10 ++-
 src/tablecloth/column/api/missing.clj       | 53 ++++++++++++++
 test/tablecloth/column/api/column_test.clj  | 12 ++--
 test/tablecloth/column/api/missing_test.clj | 13 ++++
 7 files changed, 273 insertions(+), 28 deletions(-)
 create mode 100644 src/tablecloth/column/api/missing.clj
 create mode 100644 test/tablecloth/column/api/missing_test.clj

diff --git a/docs/column_exploration.clj b/docs/column_exploration.clj
index d4c5bcf..7bf470f 100644
--- a/docs/column_exploration.clj
+++ b/docs/column_exploration.clj
@@ -5,8 +5,7 @@
   (:require [tablecloth.api :as tc]
             [scicloj.clay.v2.api :as clay]
             [scicloj.kindly.v3.api :as kindly]
-            [scicloj.kindly.v3.kind :as kind]
-            ))
+            [scicloj.kindly.v3.kind :as kind]))
 
 ^{:kind/hidden true}
 (clay/start!)
@@ -148,7 +147,7 @@ myclm
 (col/select myclm (ops/> myclm 5))
 
 
-;; ### Iterating Over Column
+;; ### Iterating over a column
 
 ;; Many operations that you might want to perform on a column are
 ;; available in the `tablecloth.column.api.operators` namespace.
@@ -166,3 +165,74 @@ myclm
 (-> [(column [5 6 7 8 9])
      (column [1 2 3 4 5])]
     (col/column-map (partial *)))
+
+
+(comment 
+  (-> (column [1 nil 2 3 nil 0])
+      (ops/* 10))
+
+  (-> (column [1 nil 2 3 nil 0])
+      (ops/max [10 10 10 10 10 10]))
+
+
+  (tech.v3.dataset.column/missing))
+
+;; ### Sorting a column
+
+;; You can use `sort-column` to sort a colum
+
+(def myclm (column (repeatedly 10 #(rand-int 100))))
+
+myclm
+
+(col/sort-column myclm)
+
+;; As you can see, sort-columns sorts in ascending order by default,
+;; but you can also specify a different order using ordering keywords
+;; `:asc` and `:desc`:
+
+
+(col/sort-column myclm :desc)
+
+;; Finally, sort can also accept a `comparator-fn`:
+
+(let [c (column ["1" "100" "4" "-10"])]
+  (col/sort-column c (fn [a b]
+                       (let [a (parse-long a)
+                             b (parse-long b)]
+                         (< a b)))))
+
+
+;; ### Missing values
+
+;; The column has built-in support for basic awareness and handling of
+;; missing values. Columns will be scanned for missing values when
+;; created.
+
+(def myclm (column [10 nil -4 20 1000 nil -233]))
+
+;; You can identify the set of index positions of missing values:
+
+(col/missing myclm)
+
+(col/count-missing myclm)
+
+;; You can remove missing values:
+
+(col/drop-missing myclm)
+
+;; Or you can replace them:
+
+(col/replace-missing myclm)
+
+;; There are a range of built-in strategies:
+
+(col/replace-missing myclm :midpoint)
+
+
+;; And you can provide your own value using a specific value or fn:
+
+(col/replace-missing myclm :value 555)
+
+(col/replace-missing myclm :value (fn [col-without-missing]
+                                    (ops/mean col-without-missing)))
diff --git a/docs/column_exploration.html b/docs/column_exploration.html
index c08a4dc..7766992 100644
--- a/docs/column_exploration.html
+++ b/docs/column_exploration.html
@@ -33,13 +33,12 @@
   background-color: #f0f0f0;
   padding: 2px;
   .bg-light;
-}
docs/column_exploration.clj
Tablecloth Column Exploration
^{:kind/hidden true}
+}
/Users/emiller/Projects/scicloj/tablecloth/docs/column_exploration.clj
Tablecloth Column Exploration
^{:kind/hidden true}
 (ns intro
   (:require [tablecloth.api :as tc]
             [scicloj.clay.v2.api :as clay]
             [scicloj.kindly.v3.api :as kindly]
-            [scicloj.kindly.v3.kind :as kind]
-            ))
...
^{:kind/hidden true}
+            [scicloj.kindly.v3.kind :as kind]))
...
^{:kind/hidden true}
 (clay/start!)
...
^{:kind/hidden true}
 (comment
   (clay/show-doc! "docs/column_exploration.clj" {:hide-doc? true})
@@ -49,10 +48,23 @@
   (col/typeof string-column))
...
Basic Operations
Operations are right now in their own namespace
(require '[tablecloth.column.api.operators :as ops])
...
With that imported we can perform a large number of operations:
(def a (column [20 30 40 50]))
...
(def b (column (range 4)))
...
(ops/- a b)
...
(ops/pow a 2)
...
(ops/* 10 (ops/sin a))
...
(ops/< a 35)
...
All these operations take a column as their first argument and return a column, so they can be chained easily.
(-> a
     (ops/* b)
     (ops/< 70))
...
Subsetting and accesssing
You can access an element in a column in exactly the same ways you would in Clojure.
(def myclm (column (range 5)))
...
myclm
...
(myclm 2)
...
(nth myclm 2)
...
(get myclm 2)
...
Selecting multiple elements
There are two ways to select multiple elements from a column:
  • If you need to select a continuous subset, you can use slice;
  • if you may need to select diverse elements, use select.
Slice The slice method allows you to use indexes to specify a portion of the column to extract.
(def myclm
-  (column (repeatedly 10 #(rand-int 10))))
...
myclm
...
(col/slice myclm 3 5)
...
It also supports negative indexing, making it possible to slice from the end of the column:
(col/slice myclm -7 -5)
...
It's also possible to slice from one direction to the beginning or end:
(col/slice myclm 7 :end)
...
(col/slice myclm -3 :end)
...
(col/slice myclm :start 7)
...
(col/slice myclm :start -3)
...
Select
The select fn works by taking a list of index positions:
(col/select myclm [1 3 5 8])
...
We can combine this type of selection with the operations just demonstrated to select certain values.
myclm
...
Let's see which positions are greter than 5.
(ops/> myclm 5)
...
We can use a column of boolean values like the one above with the select function as well. select will choose all the positions that are true. It's like supplying select a list of the index positions that hold true values.
(col/select myclm (ops/> myclm 5))
...
Iterating Over Column
Many operations that you might want to perform on a column are available in the tablecloth.column.api.operators namespace. However, when there is a need to do something custom, you can also interate over the column.
(defn calc-percent [x]
+  (column (repeatedly 10 #(rand-int 10))))
...
myclm
...
(col/slice myclm 3 5)
...
It also supports negative indexing, making it possible to slice from the end of the column:
(col/slice myclm -7 -5)
...
It's also possible to slice from one direction to the beginning or end:
(col/slice myclm 7 :end)
...
(col/slice myclm -3 :end)
...
(col/slice myclm :start 7)
...
(col/slice myclm :start -3)
...
Select
The select fn works by taking a list of index positions:
(col/select myclm [1 3 5 8])
...
We can combine this type of selection with the operations just demonstrated to select certain values.
myclm
...
Let's see which positions are greter than 5.
(ops/> myclm 5)
...
We can use a column of boolean values like the one above with the select function as well. select will choose all the positions that are true. It's like supplying select a list of the index positions that hold true values.
(col/select myclm (ops/> myclm 5))
...
Iterating over a column
Many operations that you might want to perform on a column are available in the tablecloth.column.api.operators namespace. However, when there is a need to do something custom, you can also interate over the column.
(defn calc-percent [x]
   (/ x 100.0))
...
(col/column-map myclm calc-percent)
...
It's also possible to iterate over multiple columns by supplying a vector of columns:
(-> [(column [5 6 7 8 9])
      (column [1 2 3 4 5])]
-    (col/column-map (partial *)))
...

\ No newline at end of file
+(dom/render (fn [] widget94) (.getElementById js/document "widget94"))
+(def widget96 nil)
+(dom/render (fn [] widget96) (.getElementById js/document "widget96"))
+(def widget99 nil)
+(dom/render (fn [] widget99) (.getElementById js/document "widget99"))
+(def widget101 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[10]\nnull\n[85, 69, 44, 69, 76, 65, 31, 73, 87, 12]\n"]]])
+(dom/render (fn [] widget101) (.getElementById js/document "widget101"))
+(def widget103 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[10]\nnull\n[12, 31, 44, 65, 69, 69, 73, 76, 85, 87]\n"]]])
+(dom/render (fn [] widget103) (.getElementById js/document "widget103"))
+(def widget106 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[10]\nnull\n[87, 85, 76, 73, 69, 69, 65, 44, 31, 12]\n"]]])
+(dom/render (fn [] widget106) (.getElementById js/document "widget106"))
+(def widget109 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[4]\nnull\n[-10, 1, 4, 100]\n"]]])
+(dom/render (fn [] widget109) (.getElementById js/document "widget109"))
+(def widget112 nil)
+(dom/render (fn [] widget112) (.getElementById js/document "widget112"))
+(def widget115 [:div [:pre [:code.language-clojure "{1,5}\n"]]])
+(dom/render (fn [] widget115) (.getElementById js/document "widget115"))
+(def widget117 [:div [:pre [:code.language-clojure "2\n"]]])
+(dom/render (fn [] widget117) (.getElementById js/document "widget117"))
+(def widget120 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[5]\n:col\n[10, -4, 20, 1000, -233]\n"]]])
+(dom/render (fn [] widget120) (.getElementById js/document "widget120"))
+(def widget123 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[7]\n:col\n[10, 10, -4, 20, 1000, 1000, -233]\n"]]])
+(dom/render (fn [] widget123) (.getElementById js/document "widget123"))
+(def widget126 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[7]\n:col\n[10.00, 3.000, -4.000, 20.00, 1000, 383.5, -233.0]\n"]]])
+(dom/render (fn [] widget126) (.getElementById js/document "widget126"))
+(def widget129 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[7]\n:col\n[10, 555.0, -4, 20, 1000, 555.0, -233]\n"]]])
+(dom/render (fn [] widget129) (.getElementById js/document "widget129"))
+(def widget131 [:div [:pre [:code.language-clojure "#tech.v3.dataset.column[7]\n:col\n[10, 158.6, -4, 20, 1000, 158.6, -233]\n"]]])
+(dom/render (fn [] widget131) (.getElementById js/document "widget131"))
\ No newline at end of file
diff --git a/src/tablecloth/column/api.clj b/src/tablecloth/column/api.clj
index 62747fe..34a249d 100644
--- a/src/tablecloth/column/api.clj
+++ b/src/tablecloth/column/api.clj
@@ -3,6 +3,7 @@
   "Tablecloth Column API"
   (:require [tablecloth.column.api.api-template]
             [tablecloth.column.api.column]
+            [tablecloth.column.api.missing]
             [tech.v3.dataset.column]))
 
 (defn column
@@ -39,12 +40,61 @@
   (tablecloth.column.api.column/column? item)))
 
 
+(defn count-missing
+  "Returns the number of missing values in column `col`. "
+  ([col]
+  (tablecloth.column.api.missing/count-missing col)))
+
+
+(defn drop-missing
+  "Remove missing values from column `col`."
+  ([col]
+  (tablecloth.column.api.missing/drop-missing col)))
+
+
+(defn is-missing?
+  "Return true if this index is missing."
+  ([col idx]
+  (tech.v3.dataset.column/is-missing? col idx)))
+
+
+(defn missing
+  "Indexes of missing values.  Both iterable and reader."
+  (^{:tag org.roaringbitmap.RoaringBitmap} [col]
+  (tech.v3.dataset.column/missing col)))
+
+
 (defn ones
   "Creates a new column filled with `n-ones`"
   ([n-ones]
   (tablecloth.column.api.column/ones n-ones)))
 
 
+(defn replace-missing
+  "Replace missing values in column `col` with give `strategy`.
+
+    Strategies may be:
+
+    - `:down` -	Take the previous value, or use provided value.
+    - `:up` - Take the next value, or use provided value.
+    - `:downup` - Take the previous value, otherwise take the next value.
+    - `:updown` - Take the next value, otherwise take the previous value.
+    - `:nearest` - Use the nearest of next or previous values. (Strategy `:mid` is an alias for `:nearest`).
+    - `:midpoint` - Use the midpoint of averaged values between previous and next (non-missing) values.
+    - `:abb` - Impute missing value with approximate Bayesian bootstrap.
+               See [r's ABB](https://search.r-project.org/CRAN/refmans/LaplacesDemon/html/ABB.html).
+    - `:lerp` - Linearly interpolate values between previous and next nonmissing rows.
+    - `:value` - Provide a value explicitly.  Value may be a function in which
+                 case it will be called on the column with missing values elided
+                 and the return will be used to as the filler."
+  ([col]
+  (tablecloth.column.api.missing/replace-missing col))
+  ([col strategy]
+  (tablecloth.column.api.missing/replace-missing col strategy))
+  ([col strategy value]
+  (tablecloth.column.api.missing/replace-missing col strategy value)))
+
+
 (defn select
   "Return a new column with the subset of indexes based on the provided `selection`.
   `selection` can be a list of indexes to select or boolean values where the index
@@ -80,6 +130,17 @@
   (tablecloth.column.api.column/slice col from to step)))
 
 
+(defn sort-column
+  "Returns a sorted version of the column `col`. You can supply the ordering
+  keywords `:asc` or `:desc` or a comparator function to `order-or-comparator`.
+  If no comparator function is provided, the column will be sorted in
+  ascending order."
+  ([col]
+  (tablecloth.column.api.column/sort-column col))
+  ([col order-or-comparator]
+  (tablecloth.column.api.column/sort-column col order-or-comparator)))
+
+
 (defn typeof
   "Returns the concrete type of the elements within the column `col`."
   ([col]
diff --git a/src/tablecloth/column/api/api_template.clj b/src/tablecloth/column/api/api_template.clj
index 08e4dee..11a0047 100644
--- a/src/tablecloth/column/api/api_template.clj
+++ b/src/tablecloth/column/api/api_template.clj
@@ -10,9 +10,17 @@
                          typeof?
                          slice
                          zeros
-                         ones)
+                         ones
+                         sort-column)
+
+(exporter/export-symbols tablecloth.column.api.missing
+                         count-missing
+                         drop-missing
+                         replace-missing)
 
 (exporter/export-symbols tech.v3.dataset.column
+                         is-missing?
+                         missing
                          select)
 
 (comment
diff --git a/src/tablecloth/column/api/missing.clj b/src/tablecloth/column/api/missing.clj
new file mode 100644
index 0000000..2afa904
--- /dev/null
+++ b/src/tablecloth/column/api/missing.clj
@@ -0,0 +1,53 @@
+(ns tablecloth.column.api.missing
+  (:require [tech.v3.dataset :as ds]
+            [tech.v3.dataset.column :as col]
+            [tech.v3.datatype :as dtype]
+            [tablecloth.api :as tc]))
+
+(defn- into-ds [col]
+  (-> {:col col}
+      tc/dataset
+      (tc/update-columns :col #(col/set-missing % (col/missing col)))))
+
+(defn- out-of-ds [ds]
+  (:col ds))
+
+(defn count-missing 
+  "Returns the number of missing values in column `col`. "
+  [col]
+  (-> col col/missing dtype/ecount))
+
+(defn drop-missing 
+  "Remove missing values from column `col`."
+  [col]
+  (-> col
+      (into-ds)
+      (ds/drop-missing)
+      (out-of-ds)))
+
+(defn replace-missing 
+  "Replace missing values in column `col` with give `strategy`.
+
+    Strategies may be:
+
+    - `:down` -	Take the previous value, or use provided value.
+    - `:up` - Take the next value, or use provided value.
+    - `:downup` - Take the previous value, otherwise take the next value.
+    - `:updown` - Take the next value, otherwise take the previous value.
+    - `:nearest` - Use the nearest of next or previous values. (Strategy `:mid` is an alias for `:nearest`).
+    - `:midpoint` - Use the midpoint of averaged values between previous and next (non-missing) values.
+    - `:abb` - Impute missing value with approximate Bayesian bootstrap.
+               See [r's ABB](https://search.r-project.org/CRAN/refmans/LaplacesDemon/html/ABB.html).
+    - `:lerp` - Linearly interpolate values between previous and next nonmissing rows.
+    - `:value` - Provide a value explicitly.  Value may be a function in which
+                 case it will be called on the column with missing values elided
+                 and the return will be used to as the filler."
+  ([col]
+   (replace-missing col :nearest))
+  ([col strategy]
+   (replace-missing col strategy nil))
+  ([col strategy value]
+   (-> col
+       (into-ds)
+       (ds/replace-missing [:col] strategy value)
+       (out-of-ds))))
diff --git a/test/tablecloth/column/api/column_test.clj b/test/tablecloth/column/api/column_test.clj
index 2e4b840..253a9a8 100644
--- a/test/tablecloth/column/api/column_test.clj
+++ b/test/tablecloth/column/api/column_test.clj
@@ -20,11 +20,9 @@
       (-> [true false true]
           (column)
           (tech.v3.datatype/elemwise-datatype)) => :boolean
-      ;; disable this test until TC reaches 7.00-beta2
-      ;;(-> [1 true false]
-      ;;    (column)
-      ;;    (tech.v3.datatype/elemwise-datatype)) => :object
-      )
+      (-> [1 true false]
+         (column)
+         (tech.v3.datatype/elemwise-datatype)) => :object)
 
 (fact "`typeof` returns the concrete type of the elements"
       (typeof (column [1 2 3])) => :int64 
@@ -85,7 +83,9 @@
                (sort-column c-strings) => ["a" "bar" "baz" "fo" "foo" "z"])
          (fact "it accepts a comparator-fn"
                (sort-column c-strings
-                            #(> (count %1) (count %2))) => ["baz" "bar" "foo" "fo" "z" "a"])))
+                            #(> (count %1) (count %2))) => ["baz" "bar" "foo" "fo" "z" "a"])
+         (fact "it moves missing values to the end"
+               (sort-column (column [nil 100 nil 3 -10])) => [-10 3 100 nil nil])))
 
 
 
diff --git a/test/tablecloth/column/api/missing_test.clj b/test/tablecloth/column/api/missing_test.clj
new file mode 100644
index 0000000..bd55b82
--- /dev/null
+++ b/test/tablecloth/column/api/missing_test.clj
@@ -0,0 +1,13 @@
+(ns tablecloth.column.api.missing-test
+  (:require [tablecloth.column.api.missing :refer [count-missing replace-missing drop-missing]]
+            [tablecloth.column.api.column :refer [column]]
+            [midje.sweet :refer [facts =>]]))
+
+(facts "about `count-missing`"
+       (count-missing (column [1 2 3])) => 0)
+
+(facts "about `replace-missing`"
+       (replace-missing (column [1 nil 3])) => [1 1 3])
+
+(facts "about `drop-missing`"
+       (drop-missing (column [1 nil 3])) => [1 3])

From a99b96f4e937e5bcc7a14c97e91f00bcd896f4b6 Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Fri, 14 Apr 2023 17:16:51 -0400
Subject: [PATCH 28/42] Add proof of concept

---
 src/tablecloth/api/lift_operators.clj | 29 +++++++++++++++++++++++++++
 1 file changed, 29 insertions(+)
 create mode 100644 src/tablecloth/api/lift_operators.clj

diff --git a/src/tablecloth/api/lift_operators.clj b/src/tablecloth/api/lift_operators.clj
new file mode 100644
index 0000000..5257387
--- /dev/null
+++ b/src/tablecloth/api/lift_operators.clj
@@ -0,0 +1,29 @@
+(ns tablecloth.api.lift-operators
+  (:require [tablecloth.api :refer [select-columns]]))
+
+(require '[tablecloth.column.api.operators])
+
+(def ops-mappings (ns-publics 'tablecloth.column.api.operators))
+
+(defn lift-op [fn-sym]
+  (let [defn (symbol "defn")
+        let  (symbol "let")]
+    `(~defn ~(symbol (name fn-sym))
+      ~'[ds & columns-selector]
+      (~let [just-selected-ds# (select-columns ~'ds ~'columns-selector)]
+       #_cols#
+       (apply ~fn-sym (tablecloth.api.dataset/columns just-selected-ds#))))))
+
+(lift-op 'tablecloth.column.api.operators/+)
+
+(eval (lift-op 'tablecloth.column.api.operators/+))
+
+(def ds (tablecloth.api/dataset {:a [1 2 3 4 5]
+                                 :b [6 7 8 9 10]
+                                 :c [11 12 13 14 16]}))
+
+
+(+ ds :a :c)
+
+
+

From 179060957b5f23db4ba60233f330981675a6c350 Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Sun, 23 Apr 2023 19:00:43 -0400
Subject: [PATCH 29/42] Consolidate tablecloth.column.api/operators args (#106)

* Conslidate ops args to x y z

* Fix lift op for comparison ops

* Update lift-op fn to handle multiple ar lookups

Case that required this was the comparison ops. We
want (> x y z) from (> lhs rhs) (> lhs mid rhs). We
can't universally map y to rhs because it would be
wront for the 3-arity option.
---
 src/tablecloth/column/api/lift_operators.clj | 132 ++-
 src/tablecloth/column/api/operators.clj      | 953 +++++++++----------
 src/tablecloth/column/api/utils.clj          |  19 +-
 3 files changed, 552 insertions(+), 552 deletions(-)

diff --git a/src/tablecloth/column/api/lift_operators.clj b/src/tablecloth/column/api/lift_operators.clj
index 333d120..305d9d4 100644
--- a/src/tablecloth/column/api/lift_operators.clj
+++ b/src/tablecloth/column/api/lift_operators.clj
@@ -6,13 +6,8 @@
     '+
     '-
     '/
-    '<
-    '<=
-    '>
-    '>=
     'abs
     'acos
-    'and
     'asin
     'atan
     'atan2
@@ -31,11 +26,6 @@
     'ceil
     'cos
     'cosh
-    'distance
-    'distance-squared
-    'dot-product
-    'eq
-    'equals
     'exp
     'expm1
     'floor
@@ -52,9 +42,7 @@
     'min
     'next-down
     'next-up
-    'normalize
-    'not-eq
-    'or
+
     'pow
     'quot
     'rem
@@ -81,9 +69,8 @@
     'median] (fn [fn-sym fn-meta]
               (lift-op
                fn-sym fn-meta
-               {:new-args '([col] [col options])
-                :new-args-lookup {'data 'col
-                                  'options 'options}}))
+               {:new-args {'[x] {'data 'x}
+                           '[x options] {'data 'x}}}))
    ['even?
     'finite?
     'infinite?
@@ -98,79 +85,96 @@
    (fn [fn-sym fn-meta]
              (lift-op
               fn-sym fn-meta
-              {:new-args '([x] [x options])
-               :new-args-lookup {'arg 'x
-                                 'options 'options}}))
+              {:new-args {'[x] {'arg 'x}
+                          '[x options] {'arg 'x}}}))
    ['percentiles] (fn [fn-sym fn-meta]
                     (lift-op
                      fn-sym fn-meta
-                     {:new-args '([x percentiles] [x percentiles options])
-                      :new-args-lookup {'data 'x,
-                                        'percentages 'percentiles,
-                                        'options 'options}}))
+                     {:new-args {'[x percentiles] {'data 'x
+                                                   'percentages 'percentiles}
+                                 '[x percentiles options] {'data 'x
+                                                           'percentages 'percentiles}}}))
    ['shift] (fn [fn-sym fn-meta]
               (lift-op
                fn-sym fn-meta
-               {:new-args '([x n])
-                :new-args-lookup {'rdr 'x
-                                  'n 'n}}))
+               {:new-args {'[x n] {'rdr 'x}}}))
    ['descriptive-statistics] (fn [fn-sym fn-meta]
                               (lift-op
                                fn-sym fn-meta
-                               {:new-args '([x stats-names stats-data options]
-                                            [x stats-names options]
-                                            [x stats-names]
-                                            [x])
-                                :new-args-lookup {'rdr 'x
-                                                  'src-rdr 'x
-                                                  'stats-names 'stats-names
-                                                  'stats-data 'stats-data
-                                                  'options 'options}}))
+                               {:new-args {'[x] {'rdr 'x}
+                                           '[x stats-names] {'rdr 'x}
+                                           '[x stats-names options] {'rdr 'x}
+                                           '[x stats-names stats-data options] {'src-rdr 'x}}}))
    ['quartiles] (fn [fn-sym fn-meta]
                   (lift-op
                    fn-sym fn-meta
-                   {:new-args '([x options] [x])
-                    :new-args-lookup {'item 'x
-                                      'options 'options}}))
+                   {:new-args {'[x] {'item 'x}
+                               '[x options] {'item 'x}}}))
    ['fill-range] (fn [fn-sym fn-meta]
                   (lift-op
                    fn-sym fn-meta
-                   {:new-args '([x max-span])
-                    :new-args-lookup {'numeric-data 'x
-                                      'max-span 'max-span}}))
+                   {:new-args {'[x max-span] {'numeric-data 'x}}}))
    ['reduce-min
     'reduce-max
     'reduce-*
     'reduce-+] (fn [fn-sym fn-meta]
                  (lift-op
+
                   fn-sym fn-meta
-                  {:new-args '([x])
-                   :new-args-lookup {'rdr 'x}}))
+                  {:new-args {'[x] {'rdr 'x}}}))
   ['mean-fast
    'sum-fast
    'magnitude-squared] (fn [fn-sym fn-meta]
                          (lift-op
                           fn-sym fn-meta
-                          {:new-args '([x])
-                           :new-args-lookup {'data 'x}}))
+                          {:new-args {'[x] {'data 'x}}}))
    ['kendalls-correlation
     'pearsons-correlation
     'spearmans-correlation] (fn [fn-sym fn-meta]
                               (lift-op
                                fn-sym fn-meta
-                               {:new-args '([x y] [x y options])
-                                :new-args-lookup {'lhs 'x
-                                                  'rhs 'y
-                                                  'options 'options}}))
+                               {:new-args {'[x y] {'lhs 'x
+                                                   'rhs 'y}
+                                           '[x y options] {'lhs 'x
+                                                           'rhs 'y}}}))
    ['cumprod
     'cumsum
     'cummax
     'cummin] (fn [fn-sym fn-meta]
                 (lift-op
                  fn-sym fn-meta
-                 {:new-args '([x] [x options])
-                  :new-args-lookup {'data 'x
-                                    'options 'options}}))})
+                 {:new-args {'[x] {'data 'x}}}))
+   ['normalize] (fn [fn-sym fn-meta]
+                  (lift-op
+                   fn-sym fn-meta
+                   {:new-args {'[x] {'item 'x}}}))
+   ['<
+    '<=
+    '>
+    '>=] (fn [fn-sym fn-meta]
+           (lift-op
+            fn-sym fn-meta
+            {:new-args {'[x y] {'lhs 'x
+                                'rhs 'y}
+                        '[x y z] {'lhs 'x
+                                  'mid 'y
+                                  'rhs 'z}}}))
+   ['equals] (fn [fn-sym fn-meta]
+               (lift-op
+                fn-sym fn-meta
+                {:new-args {'[x y & args] {'lhs 'x
+                                           'rhs 'y}}}))
+   ['distance
+    'dot-product
+    'eq
+    'not-eq
+    'or
+    'distance-squared
+    'and] (fn [fn-sym fn-meta]
+            (lift-op
+             fn-sym fn-meta
+             {:new-args {'[x y] {'lhs 'x
+                                 'rhs 'y}}}))})
 
 
 (defn deserialize-lift-fn-lookup []
@@ -193,3 +197,27 @@
              unsigned-bit-shift-right zero?]
            "src/tablecloth/column/api/operators.clj")
   ,)
+
+
+(comment
+
+  (def mylift (fn [fn-sym fn-meta]
+           (lift-op
+            fn-sym fn-meta
+            {:new-args {'[x y] {'lhs 'x
+                                'rhs 'y}
+                        '[x y z] {'lhs 'x
+                                  'mid 'y
+                                  'rhs 'z}}}
+            #_{:new-args '([x y z])
+             :new-args-lookup {'lhs 'x
+                               'mid 'y
+                               'rhs 'z}})))
+
+  (def mappings (ns-publics 'tech.v3.datatype.functional))
+
+  (mylift 'tech.v3.datatype.functional/> (meta (get mappings '>)))
+
+  tech.v3.datatype.functional/>
+
+  )
diff --git a/src/tablecloth/column/api/operators.clj b/src/tablecloth/column/api/operators.clj
index e8a56d7..51b8934 100644
--- a/src/tablecloth/column/api/operators.clj
+++ b/src/tablecloth/column/api/operators.clj
@@ -43,1647 +43,1616 @@
 (defn
  kurtosis
  ""
- ([col]
+ ([x]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/kurtosis col)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/kurtosis x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([col options]
+    original-result__34672__auto__)))
+ ([x options]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/kurtosis col options)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/kurtosis x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  bit-set
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/bit-set x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/bit-set x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  finite?
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/finite? x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/finite? x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  distance
  ""
- ([lhs rhs]
+ ([x y]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/distance lhs rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/distance x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  reduce-min
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/reduce-min x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  to-radians
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/to-radians x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/to-radians x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  bit-shift-right
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/bit-shift-right x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/bit-shift-right
      x
      y
      args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  ieee-remainder
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/ieee-remainder x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/ieee-remainder
      x
      y
      args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  log
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/log x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/log x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/log x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  bit-shift-left
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/bit-shift-left x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/bit-shift-left
      x
      y
      args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  acos
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/acos x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/acos x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  to-degrees
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/to-degrees x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/to-degrees x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  <
  ""
- ([lhs mid rhs]
+ ([x y]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/< lhs mid rhs)]
+   [original-result__34672__auto__ (tech.v3.datatype.functional/< x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
- ([lhs rhs]
+    original-result__34672__auto__)))
+ ([x y z]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/< lhs rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/< x y z)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  floor
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/floor x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/floor x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  atan2
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/atan2 x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/atan2 x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  normalize
  ""
- ([item]
+ ([x]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/normalize item)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/normalize x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  hypot
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/hypot x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/hypot x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  tanh
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/tanh x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/tanh x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  sq
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/sq x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/sq x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/sq x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  fill-range
  "Given a reader of numeric data and a max span amount, produce\n  a new reader where the difference between any two consecutive elements\n  is less than or equal to the max span amount.  Also return a bitmap of the added\n  indexes.  Uses linear interpolation to fill in areas, operates in double space.\n  Returns\n  {:result :missing}"
  ([x max-span]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/fill-range x max-span)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  sum
  "Double sum of data using\n  [Kahan compensated summation](https://en.wikipedia.org/wiki/Kahan_summation_algorithm)."
- ([col]
+ ([x]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/sum col)]
+   [original-result__34672__auto__ (tech.v3.datatype.functional/sum x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([col options]
+    original-result__34672__auto__)))
+ ([x options]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/sum col options)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/sum x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  pos?
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/pos? x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/pos? x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  shift
  "Shift by n and fill in with the first element for n>0 or last element for n<0.\n\n  Examples:\n\n```clojure\nuser> (dfn/shift (range 10) 2)\n[0 0 0 1 2 3 4 5 6 7]\nuser> (dfn/shift (range 10) -2)\n[2 3 4 5 6 7 8 9 9 9]\n```"
  ([x n]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/shift x n)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  ceil
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/ceil x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/ceil x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  bit-xor
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/bit-xor x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/bit-xor x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  unsigned-bit-shift-right
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/unsigned-bit-shift-right x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/unsigned-bit-shift-right
      x
      y
      args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  neg?
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/neg? x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/neg? x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  <=
  ""
- ([lhs mid rhs]
+ ([x y]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/<= lhs mid rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/<= x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
- ([lhs rhs]
+    original-result__34672__auto__)))
+ ([x y z]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/<= lhs rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/<= x y z)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  *
  ""
  ([x y]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/* x y)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/* x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/* x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  min
  ""
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/min x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/min x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/min x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/min x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  atan
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/atan x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/atan x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  mathematical-integer?
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/mathematical-integer? x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/mathematical-integer? x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  cumprod
  "Cumulative running product; returns result in double space.\n\n  Options:\n\n  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/cumprod x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([x options]
-  (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/cumprod options x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  expm1
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/expm1 x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/expm1 x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  identity
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/identity x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/identity x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  reduce-max
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/reduce-max x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  cumsum
  "Cumulative running summation; returns result in double space.\n\n  Options:\n\n  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/cumsum x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([x options]
-  (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/cumsum options x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  descriptive-statistics
  "Calculate a set of descriptive statistics on a single reader.\n\n  Available stats:\n  #{:min :quartile-1 :sum :mean :mode :median :quartile-3 :max\n    :variance :standard-deviation :skew :n-elems :kurtosis}\n\n  options\n    - `:nan-strategy` - defaults to :remove, one of\n    [:keep :remove :exception]. The fastest option is :keep but this\n    may result in your results having NaN's in them.  You can also pass\n  in a double predicate to filter custom double values."
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/descriptive-statistics x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x stats-names]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/descriptive-statistics stats-names x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x stats-names options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/descriptive-statistics
      stats-names
      options
      x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x stats-names stats-data options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/descriptive-statistics
      stats-names
      stats-data
      options
      x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  nan?
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/nan? x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/nan? x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  bit-and-not
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/bit-and-not x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/bit-and-not
      x
      y
      args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  logistic
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/logistic x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/logistic x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  cos
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/cos x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/cos x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/cos x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  log10
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/log10 x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/log10 x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  quot
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/quot x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/quot x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  dot-product
  ""
- ([lhs rhs]
+ ([x y]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/dot-product lhs rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/dot-product x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  tan
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/tan x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/tan x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/tan x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  cbrt
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/cbrt x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/cbrt x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  eq
  ""
- ([lhs rhs]
+ ([x y]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/eq lhs rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/eq x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  mean
  "double mean of data"
- ([col]
+ ([x]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/mean col)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/mean x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([col options]
+    original-result__34672__auto__)))
+ ([x options]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/mean col options)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/mean x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  >
  ""
- ([lhs mid rhs]
+ ([x y]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/> lhs mid rhs)]
+   [original-result__34672__auto__ (tech.v3.datatype.functional/> x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
- ([lhs rhs]
+    original-result__34672__auto__)))
+ ([x y z]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/> lhs rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/> x y z)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  not-eq
  ""
- ([lhs rhs]
+ ([x y]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/not-eq lhs rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/not-eq x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  even?
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/even? x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/even? x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  spearmans-correlation
  ""
  ([x y]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/spearmans-correlation x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x y options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/spearmans-correlation options x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  sqrt
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/sqrt x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/sqrt x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  reduce-*
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/reduce-* x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  next-down
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/next-down x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/next-down x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  -
  ""
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/- x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/- x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/- x y)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/- x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/- x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  or
  ""
- ([lhs rhs]
+ ([x y]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/or lhs rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/or x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  distance-squared
  ""
- ([lhs rhs]
+ ([x y]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/distance-squared lhs rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/distance-squared x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  pow
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/pow x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/pow x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  next-up
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/next-up x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/next-up x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  skew
  ""
- ([col]
+ ([x]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/skew col)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/skew x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([col options]
+    original-result__34672__auto__)))
+ ([x options]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/skew col options)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/skew x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  exp
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/exp x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/exp x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/exp x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  mean-fast
  "Take the mean of the data.  This operation doesn't know anything about nan hence it is\n  a bit faster than the base [[mean]] fn."
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/mean-fast x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  zero?
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/zero? x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/zero? x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  rem
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/rem x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/rem x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  cosh
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/cosh x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/cosh x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  variance
  ""
- ([col]
+ ([x]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/variance col)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/variance x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([col options]
+    original-result__34672__auto__)))
+ ([x options]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/variance col options)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/variance x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  reduce-+
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/reduce-+ x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  get-significand
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/get-significand x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/get-significand x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  bit-and
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/bit-and x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/bit-and x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  kendalls-correlation
  ""
  ([x y]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/kendalls-correlation x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x y options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/kendalls-correlation options x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  not
  ""
  ([x]
   (let
-   [original-result__44239__auto__ (tech.v3.datatype.functional/not x)]
+   [original-result__34672__auto__ (tech.v3.datatype.functional/not x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/not x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  standard-deviation
  ""
- ([col]
+ ([x]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/standard-deviation col)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/standard-deviation x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([col options]
+    original-result__34672__auto__)))
+ ([x options]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/standard-deviation col options)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/standard-deviation x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  cummin
  "Cumulative running min; returns result in double space.\n\n  Options:\n\n  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/cummin x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([x options]
-  (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/cummin options x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  magnitude
  ""
  ([item _options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/magnitude item _options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([item]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/magnitude item)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  cummax
  "Cumulative running max; returns result in double space.\n\n  Options:\n\n  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/cummax x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([x options]
-  (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/cummax options x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  /
  ""
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional// x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional// x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional// x y)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional// x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional// x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  bit-or
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/bit-or x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/bit-or x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  equals
  ""
- ([lhs rhs & args]
+ ([x y & args]
   (let
-   [original-result__44240__auto__
-    (clojure.core/apply
-     tech.v3.datatype.functional/equals
-     lhs
-     rhs
-     args)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/equals x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  >=
  ""
- ([lhs mid rhs]
+ ([x y]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/>= lhs mid rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/>= x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
- ([lhs rhs]
+    original-result__34672__auto__)))
+ ([x y z]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/>= lhs rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/>= x y z)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  bit-flip
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/bit-flip x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/bit-flip x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  log1p
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/log1p x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/log1p x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  asin
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/asin x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/asin x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  quartiles
  "return [min, 25 50 75 max] of item"
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/quartiles x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/quartiles options x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  quartile-3
  ""
- ([col]
+ ([x]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/quartile-3 col)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/quartile-3 x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([col options]
+    original-result__34672__auto__)))
+ ([x options]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/quartile-3 col options)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/quartile-3 x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  infinite?
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/infinite? x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/infinite? x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  round
  "Vectorized implementation of Math/round.  Operates in double space\n  but returns a long or long reader."
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/round x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/round x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  quartile-1
  ""
- ([col]
+ ([x]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/quartile-1 col)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/quartile-1 x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([col options]
+    original-result__34672__auto__)))
+ ([x options]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/quartile-1 col options)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/quartile-1 x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  odd?
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/odd? x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/odd? x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  bit-clear
  ""
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/bit-clear x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/bit-clear
      x
      y
      args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  +
  ""
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/+ x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/+ x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/+ x y)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/+ x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/+ x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  abs
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/abs x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/abs x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/abs x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  median
  ""
- ([col]
+ ([x]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/median col)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/median x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
- ([col options]
+    original-result__34672__auto__)))
+ ([x options]
   (let
-   [original-result__44239__auto__
-    (tech.v3.datatype.functional/median col options)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/median x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  pearsons-correlation
  ""
  ([x y]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/pearsons-correlation x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x y options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/pearsons-correlation options x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  sinh
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/sinh x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/sinh x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  rint
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/rint x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/rint x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  bit-not
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/bit-not x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/bit-not x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  max
  ""
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/max x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/max x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/max x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x y & args]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (clojure.core/apply tech.v3.datatype.functional/max x y args)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  ulp
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/ulp x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/ulp x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/ulp x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  percentiles
  "Create a reader of percentile values, one for each percentage passed in.\n  Estimation types are in the set of #{:r1,r2...legacy} and are described\n  here: https://commons.apache.org/proper/commons-math/javadocs/api-3.3/index.html.\n\n  nan-strategy can be one of [:keep :remove :exception] and defaults to :exception."
  ([x percentiles]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/percentiles percentiles x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__)))
+    original-result__34672__auto__)))
  ([x percentiles options]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/percentiles percentiles options x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  sin
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/sin x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__ (tech.v3.datatype.functional/sin x)]
+   [original-result__34673__auto__ (tech.v3.datatype.functional/sin x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  sum-fast
  "Find the sum of the data.  This operation is neither nan-aware nor does it implement\n  kahans compensation although via parallelization it implements pairwise summation\n  compensation.  For a more but slightly slower but far more correct sum operator,\n  use [[sum]]."
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/sum-fast x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  signum
  ""
  ([x options]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/signum x options)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__)))
+    original-result__34673__auto__)))
  ([x]
   (let
-   [original-result__44240__auto__
+   [original-result__34673__auto__
     (tech.v3.datatype.functional/signum x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34673__auto__))))
 
 (defn
  magnitude-squared
  ""
  ([x]
   (let
-   [original-result__44239__auto__
+   [original-result__34672__auto__
     (tech.v3.datatype.functional/magnitude-squared x)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44239__auto__))))
+    original-result__34672__auto__))))
 
 (defn
  and
  ""
- ([lhs rhs]
+ ([x y]
   (let
-   [original-result__44240__auto__
-    (tech.v3.datatype.functional/and lhs rhs)]
+   [original-result__34672__auto__
+    (tech.v3.datatype.functional/and x y)]
    (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__44240__auto__))))
+    original-result__34672__auto__))))
 
diff --git a/src/tablecloth/column/api/utils.clj b/src/tablecloth/column/api/utils.clj
index ed703e7..9aa0203 100644
--- a/src/tablecloth/column/api/utils.clj
+++ b/src/tablecloth/column/api/utils.clj
@@ -15,7 +15,7 @@
 (defn lift-op
   ([fn-sym fn-meta]
    (lift-op fn-sym fn-meta nil))
-  ([fn-sym fn-meta {:keys [new-args new-args-lookup]}]
+  ([fn-sym fn-meta {:keys [new-args]}]
    (let [defn (symbol "defn")
          let  (symbol "let")
          docstring (:doc fn-meta)
@@ -25,16 +25,18 @@
      (if new-args
       `(~defn ~(symbol (name fn-sym))
         ~(or docstring "")
-        ~@(for [[new-arg original-arg] (zipmap (sort-by-arg-count new-args)
-                                                (sort-by-arg-count original-args))
+        ~@(for [[new-arg new-arg-lookup original-arg]
+                (map vector (sort-by-arg-count (keys new-args))
+                            (sort-by-arg-count (vals new-args))
+                            (sort-by-arg-count original-args))
                 :let [filtered-original-arg (filter (partial not= '&) original-arg)]]
             (list
-            (if new-arg new-arg original-arg)
+             (if new-arg new-arg original-arg)
             `(~let [original-result# (~fn-sym
-                                      ~@(if (nil? new-args-lookup)
-                                          filtered-original-arg
-                                          (for [oldarg filtered-original-arg]
-                                            (get new-args-lookup oldarg))))]
+                                      ~@(for [oldarg filtered-original-arg]
+                                          (if (nil? (get new-arg-lookup oldarg))
+                                            oldarg
+                                            (get new-arg-lookup oldarg))))]
               (return-scalar-or-column original-result#)))))
       `(~defn ~(symbol (name fn-sym)) 
         ~(or docstring "") 
@@ -47,6 +49,7 @@
                                         `(apply ~fn-sym ~@explicit-args ~(second rest-arg-expr)))]
               (return-scalar-or-column original-result#)))))))))
 
+
 (defn- writeln!
   ^Writer [^Writer writer strdata & strdatas]
   (.append writer (str strdata))

From e0479aa894377f9247d5bff04849780e2bcd1515 Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Fri, 29 Sep 2023 11:48:01 -0400
Subject: [PATCH 30/42] Lift column ops to the dataset level (#107)

* Readme: Replace `lein test` with `lein midje`

* Add proof of concept for lifting

* Clean up

* Fix magnitude arguments

* Fix typo breaking lift operation for `magnitude

* Save prototype working example that handles optional arguments

* Clean up

* Reorganize codegen utilities

* moved hopefully common utilities up  into 'tablecloth.utils.codegen
* retooled those helpers in that ns to be a bit more accessible (WIP)

* Clean up

* Clean up

* Rejigger codegen for column ops to take just fn-sym arglists

* Try lifting all column ops to ds (no tests yet)

* Exclude ops that do not potentially return column

* Do not lift options that do not return columns

* Add docstrings for some codegen

Also regenerated operators to make sure tests pass.

* Add docstring to ds col ops

* version bump and small fix

* Modify ds-level lift op to also return fn that returns column

This is a breaking change for the column api lifting until I adapt
the lift-op to the changes made in the codegen where the argument
is supplied in data rather than within a fn.

* example added for replace-missing

* Add tests for ops that take inf number of cols

* Add tests for ops returning ds taking max of three cols

* Add tests for ops returning ds and taking two columns max

* Test for ops returning ds and max of one column

* Add more functions to test for ops taking one col

* Clean up

* Lifted ops taking one column and returning a scalar

* Lift functions taking two columns and returning a scalar

* Clean up

* Clean up

* bump to 7.000-beta-50

* fixes #108

* hashing in joins enabled for every case

* 7.000-beta-51

* Clean up

* Lift functions taking 1 col and returning scalar

* Adjust column api lift ops to new declarative syntax

* Adjust lift plan for tablecloth.column.api for tmd v7

* Remove mention of tech.ml.datatype

* Add missing word

* Bump tmd version to 7.006 for fix to fns that were erroring

fns are: quartiles-1, quartiles-3 and median

* Fixing more tests

* Comment some code to keep around for a spell

* Remove special lift op for 'round

It's arugments were fixed.

* Cleanup

* 7.007

---------

Co-authored-by: Teodor Heggelund 
Co-authored-by: genmeblog <38646601+genmeblog@users.noreply.github.com>
Co-authored-by: GenerateMe 
Co-authored-by: adham-omran 
---
 .dir-locals.el                                |   10 -
 CHANGELOG.md                                  |   40 +
 README.Rmd                                    |    2 +-
 README.md                                     |    2 +-
 deps.edn                                      |    5 +-
 docs/index.Rmd                                |   71 +-
 docs/index.html                               | 5248 +++++++++--------
 docs/index.md                                 |  775 +--
 docs/index.pdf                                |  Bin 551160 -> 552004 bytes
 playground.clj                                |  498 +-
 project.clj                                   |    6 +-
 src/tablecloth/api.clj                        |  134 +-
 src/tablecloth/api/dataset.clj                |   52 +-
 src/tablecloth/api/join_concat_ds.clj         |   18 +-
 src/tablecloth/api/join_separate.clj          |   10 +-
 src/tablecloth/api/lift_operators.clj         |  206 +-
 src/tablecloth/api/operators.clj              | 3661 ++++++++++++
 src/tablecloth/api/reshape.clj                |    3 +-
 src/tablecloth/column/api/lift_operators.clj  |  275 +-
 src/tablecloth/column/api/operators.clj       | 1410 ++---
 src/tablecloth/column/api/utils.clj           |   81 -
 src/tablecloth/utils/codegen.clj              |   81 +
 test/tablecloth/api/dataset_test.clj          |   39 +-
 test/tablecloth/api/operators_test.clj        |  180 +
 test/tablecloth/column/api/operators_test.clj |    5 +-
 25 files changed, 8927 insertions(+), 3885 deletions(-)
 delete mode 100644 .dir-locals.el
 create mode 100644 src/tablecloth/api/operators.clj
 create mode 100644 src/tablecloth/utils/codegen.clj
 create mode 100644 test/tablecloth/api/operators_test.clj

diff --git a/.dir-locals.el b/.dir-locals.el
deleted file mode 100644
index 02bc256..0000000
--- a/.dir-locals.el
+++ /dev/null
@@ -1,10 +0,0 @@
-((nil
-  .
-  ((cider-clojure-cli-aliases
-    .
-    "dev")))
- (clojure-mode
-  .
-  ((eval
-    .
-    (add-to-list 'cider-jack-in-nrepl-middlewares "scicloj.clay.v1.nrepl/middleware")))))
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 10be84a..863b4b4 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,45 @@
 # Change Log
 
+## [7.007]
+
+### Added
+
+* Extened documentation for `dataset` (copied from TMD), [#112](https://github.com/scicloj/tablecloth/issues/112)
+
+### Changed
+
+* `rows` accepts `:nil-missing?`(default: true) and `copying?`(default: false) options.
+
+## [7.000-beta-51]
+
+Deps updated
+
+## [7.000-beta-50.2]
+
+### Added
+
+* `:hashing` is available for single column joins too
+
+## [7.000-beta-50.1]
+
+### Added
+
+* `:hashing` option determines method of creating an index for multicolumn joins (was `hash` is `identity`)
+
+### Fixed
+
+* [#108](https://github.com/scicloj/tablecloth/issues/108) - hashing replaced with packing data into the  sequence
+
+## [7.000-beta-50]
+
+Deps updated
+
+## [7.000-beta-38]
+
+### Fixed
+
+* dataset from singleton creation generated from wrong structure
+
 ## [7.000-beta-27]
 
 ### Added
diff --git a/README.Rmd b/README.Rmd
index 1b79e36..51c9a71 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -48,7 +48,7 @@ knit_engines$set(clojure = function(options) {
 
 ## Versions
 
-### tech.ml.dataset 6.x (master branch)
+### tech.ml.dataset 7.x (master branch)
 
 [![](https://img.shields.io/clojars/v/scicloj/tablecloth)](https://clojars.org/scicloj/tablecloth)
 
diff --git a/README.md b/README.md
index 4dc5115..54bd50f 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@
 
 ## Versions
 
-### tech.ml.dataset 6.x (master branch)
+### tech.ml.dataset 7.x (master branch)
 
 [![](https://img.shields.io/clojars/v/scicloj/tablecloth)](https://clojars.org/scicloj/tablecloth)
 
diff --git a/deps.edn b/deps.edn
index 1b97492..cf8d10b 100644
--- a/deps.edn
+++ b/deps.edn
@@ -1,7 +1,4 @@
 {:extra-paths ["data"]
  :deps {org.clojure/clojure              {:mvn/version "1.11.1"}
-        ;; techascent/tech.ml.dataset       {:mvn/version "6.103"}
-        techascent/tech.ml.dataset       {:mvn/version "7.000-beta-27"}
-        ;; generateme/fastmath {:mvn/version "2.1.0"}
-        }
+        techascent/tech.ml.dataset       {:mvn/version "7.007"}}
  :aliases {:dev {:extra-deps {org.scicloj/clay {:mvn/version "2-alpha12"}}}}}
diff --git a/docs/index.Rmd b/docs/index.Rmd
index 8c80fa6..421b70e 100644
--- a/docs/index.Rmd
+++ b/docs/index.Rmd
@@ -86,12 +86,18 @@ knit_engines$set(clojure = function(options) {
 
 ```{clojure include=FALSE}
 (def tech-ml-version (get-in (read-string (slurp "deps.edn")) [:deps 'techascent/tech.ml.dataset :mvn/version]))
+(def tablecloth-version (nth (read-string (slurp "project.clj")) 2))
 ```
 
 ```{clojure results="asis"}
 tech-ml-version
 ```
 
+```{clojure results="asis"}
+tablecloth-version
+```
+
+
 ## Introduction
 
 [tech.ml.dataset](https://github.com/techascent/tech.ml.dataset) is a great and fast library which brings columnar dataset to the Clojure. Chris Nuernberger has been working on this library for last year as a part of bigger `tech.ml` stack.
@@ -135,7 +141,7 @@ DS
 
 ### Dataset
 
-Dataset is a special type which can be considered as a map of columns implemented around `tech.ml.datatype` library. Each column can be considered as named sequence of typed data. Supported types include integers, floats, string, boolean, date/time, objects etc.
+Dataset is a special type which can be considered as a map of columns implemented around `tech.ml.dataset` library. Each column can be considered as named sequence of typed data. Supported types include integers, floats, string, boolean, date/time, objects etc.
 
 #### Dataset creation 
 
@@ -418,6 +424,8 @@ Possible result types:
 - `:as-double-arrays` - array of double arrays 
 - `:as-vecs` - sequence of vectors (rows)
 
+For `rows` setting `:nil-missing?` option to `false` will elide keys for nil values.
+
 ---
 
 Select column.
@@ -477,6 +485,26 @@ Rows as sequence of maps
 (clojure.pprint/pprint (take 2 (tc/rows ds :as-maps)))
 ```
 
+---
+
+Rows with missing values
+
+```{clojure}
+(-> {:a [1 nil 2]
+     :b [3 4 nil]}
+    (tc/dataset)
+    (tc/rows :as-maps))
+```
+
+Rows with elided missing values
+
+```{clojure}
+(-> {:a [1 nil 2]
+     :b [3 4 nil]}
+    (tc/dataset)
+    (tc/rows :as-maps {:nil-missing? false}))
+```
+
 #### Single entry
 
 Get single value from the table using `get-in` from Clojure API or `get-entry`. First argument is column name, second is row number.
@@ -526,12 +554,12 @@ Grouping is done by calling `group-by` function with arguments:
 * `ds` - dataset
 * `grouping-selector` - what to use for grouping
 * options:
-    - `:result-type` - what to return:
-        * `:as-dataset` (default) - return grouped dataset
-        * `:as-indexes` - return rows ids (row number from original dataset)
-        * `:as-map` - return map with group names as keys and subdataset as values
-        * `:as-seq` - return sequens of subdatasets
-    - `:select-keys` - list of the columns passed to a grouping selector function
+- `:result-type` - what to return:
+* `:as-dataset` (default) - return grouped dataset
+* `:as-indexes` - return rows ids (row number from original dataset)
+* `:as-map` - return map with group names as keys and subdataset as values
+* `:as-seq` - return sequens of subdatasets
+- `:select-keys` - list of the columns passed to a grouping selector function
 
 All subdatasets (groups) have set name as the group name, additionally `group-id` is in meta.
 
@@ -866,7 +894,7 @@ If you want to implement your own mapping function on grouped dataset you can ca
 
 ### Columns
 
-Column is a special `tech.ml.dataset` structure based on `tech.ml.datatype` library. For our purposes we cat treat columns as typed and named sequence bound to particular dataset. 
+Column is a special `tech.ml.dataset` structure. For our purposes we cat treat columns as typed and named sequence bound to particular dataset.
 
 Type of the data is inferred from a sequence during column creation. 
 
@@ -2080,9 +2108,10 @@ Missing values can be replaced using several strategies. `replace-missing` accep
 * column selector, default: `:all`
 * strategy, default: `:nearest`
 * value (optional)
-- single value
-- sequence of values (cycled)
-- function, applied on column(s) with stripped missings
+  - single value
+  - sequence of values (cycled)
+  - function, applied on column(s) with stripped missings
+  - map with [index,value] pairs
 
 Strategies are:
 
@@ -2148,6 +2177,14 @@ Replace missing with a function (mean)
 
 ---
 
+Replace missing some missing values with a map
+
+```{clojure results="asis"}
+(tc/replace-missing DSm2 :a :value {0 100 1 -100 14 -1000})
+```
+
+---
+
 Using `:down` strategy, fills gaps with values from above. You can see that if missings are at the beginning, the are filled with first value
 
 ```{clojure results="asis"}
@@ -3181,6 +3218,8 @@ A column selector can be a map with `:left` and `:right` keys to specify column
 
 The difference between `tech.ml.dataset` join functions are: arguments order (first datasets) and possibility to join on multiple columns.
 
+Multiple columns joins create temporary index column from column selection. The method for creating index is based on `:hashing` option and defaults to `identity`. Prior to `7.000-beta-50` `hash` function was used, which caused hash collision for certain cases.
+
 Additionally set operations are defined: `intersect` and `difference`.
 
 To concat two datasets rowwise you can choose:
@@ -3428,6 +3467,16 @@ Return rows from ds1 not matching ds2
 (tc/anti-join ds2 ds1 {:left :e :right :a})
 ```
 
+#### Hashing
+
+When `:hashing` option is used, data from join columns are preprocessed by applying `join-columns` funtion with `:result-type` set to the value of `:hashing`. This helps to create custom joining behaviour. Function used for hashing will get vector of row values from join columns.
+
+In the following example we will join columns on value modulo 5.
+
+```{clojure results="asis"}
+(tc/left-join ds1 ds2 :b {:hashing (fn [[v]] (mod v 5))})
+```
+
 #### Cross
 
 Cross product from selected columns
diff --git a/docs/index.html b/docs/index.html
index 773fdb2..1486e13 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -11,7 +11,7 @@
 
 
 
-
+
 
 Dataset (data frame) manipulation API for the tech.ml.dataset library
 
@@ -1614,7 +1614,7 @@
 
 
Dataset (data frame) manipulation API for the tech.ml.dataset library

 
GenerateMe

-
2023-02-02

+
2023-09-13

 
 

 
@@ -1645,7 +1645,9 @@ 
2023-02-02

 
 

 
tech-ml-version

-
“7.000-beta-27”

+
“7.007”

+
tablecloth-version

+
“7.007”

 

 
Introduction

 
tech.ml.dataset is a great and fast library which brings columnar dataset to the Clojure. Chris Nuernberger has been working on this library for last year as a part of bigger tech.ml stack.

@@ -1667,13 +1669,13 @@ 
Introduction

 
SOURCE CODE

 
Join the discussion on Zulip

 
Let’s require main namespace and define dataset used in most examples:

-
(require '[tablecloth.api :as tc]
-         '[tech.v3.datatype.functional :as dfn])
-(def DS (tc/dataset {:V1 (take 9 (cycle [1 2]))
-                      :V2 (range 1 10)
-                      :V3 (take 9 (cycle [0.5 1.0 1.5]))
-                      :V4 (take 9 (cycle ["A" "B" "C"]))}))

-
DS

+
(require '[tablecloth.api :as tc]
+         '[tech.v3.datatype.functional :as dfn])
+(def DS (tc/dataset {:V1 (take 9 (cycle [1 2]))
+                      :V2 (range 1 10)
+                      :V3 (take 9 (cycle [0.5 1.0 1.5]))
+                      :V4 (take 9 (cycle ["A" "B" "C"]))}))

+
DS

 
_unnamed [9 4]:

 
@@ -1746,7 +1748,7 @@ 
Introduction
Functionality

 
Dataset

-
Dataset is a special type which can be considered as a map of columns implemented around tech.ml.datatype library. Each column can be considered as named sequence of typed data. Supported types include integers, floats, string, boolean, date/time, objects etc.

+
Dataset is a special type which can be considered as a map of columns implemented around tech.ml.dataset library. Each column can be considered as named sequence of typed data. Supported types include integers, floats, string, boolean, date/time, objects etc.

 

 
Dataset creation

 
Dataset can be created from various of types of Clojure structures and files:

@@ -1778,18 +1780,18 @@ 
Dataset creation

 
tc/let-dataset accepts bindings symbol-column-data to simulate R’s tibble function. Each binding is converted into a column. You can refer previous columns to in further bindings (as in let).

 

 
Empty dataset.

-
(tc/dataset)

+
(tc/dataset)

 
_unnamed [0 0]

 

 
Empty dataset with column names

-
(tc/dataset nil {:column-names [:a :b]})

+
(tc/dataset nil {:column-names [:a :b]})

 
_unnamed [0 2]:
 
 | :a | :b |
 |----|----|

 

 
Sequence of pairs (first = column name, second = value(s)).

-
(tc/dataset [[:A 33] [:B 5] [:C :a]])

+
(tc/dataset [[:A 33] [:B 5] [:C :a]])

 
_unnamed [1 3]:

 

 
 
 

@@ -1809,7 +1811,7 @@ 
Dataset creation

 
 

 

 
Not sequential values are repeated row-count number of times.

-
(tc/dataset [[:A [1 2 3 4 5 6]] [:B "X"] [:C :a]])

+
(tc/dataset [[:A [1 2 3 4 5 6]] [:B "X"] [:C :a]])

 
_unnamed [6 3]:

 
@@ -1854,9 +1856,9 @@ 
Dataset creation

 
 

 

 
Dataset created from map (keys = column names, vals = value(s)). Works the same as sequence of pairs.

-
(tc/dataset {:A 33})
-(tc/dataset {:A [1 2 3]})
-(tc/dataset {:A [3 4 5] :B "X"})

+
(tc/dataset {:A 33})
+(tc/dataset {:A [1 2 3]})
+(tc/dataset {:A [3 4 5] :B "X"})

 
_unnamed [1 1]:

 
@@ -1914,7 +1916,7 @@ 
Dataset creation

 
 

 

 
You can put any value inside a column

-
(tc/dataset {:A [[3 4 5] [:a :b]] :B "X"})

+
(tc/dataset {:A [[3 4 5] [:a :b]] :B "X"})

 
_unnamed [2 2]:

 
@@ -1936,8 +1938,8 @@ 
Dataset creation

 
 

 

 
Sequence of maps

-
(tc/dataset [{:a 1 :b 3} {:b 2 :a 99}])
-(tc/dataset [{:a 1 :b [1 2 3]} {:a 2 :b [3 4]}])

+
(tc/dataset [{:a 1 :b 3} {:b 2 :a 99}])
+(tc/dataset [{:a 1 :b [1 2 3]} {:a 2 :b [3 4]}])

 
_unnamed [2 2]:

 
@@ -1978,7 +1980,7 @@ 
Dataset creation

 
 

 

 
Missing values are marked by nil

-
(tc/dataset [{:a nil :b 1} {:a 3 :b 4} {:a 11}])

+
(tc/dataset [{:a nil :b 1} {:a 3 :b 4} {:a 11}])

 
_unnamed [3 2]:

 
@@ -2004,9 +2006,9 @@ 
Dataset creation

 
 

 

 
Reading from arrays, by default :as-rows

-
(-> (map int-array [[1 2] [3 4] [5 6]])
-    (into-array)
-    (tc/dataset))

+
(-> (map int-array [[1 2] [3 4] [5 6]])
+    (into-array)
+    (tc/dataset))

 
:_unnamed [3 2]:

 
@@ -2031,9 +2033,9 @@ 
Dataset creation

 
 
 

 
:as-columns

-
(-> (map int-array [[1 2] [3 4] [5 6]])
-    (into-array)
-    (tc/dataset {:layout :as-columns}))

+
(-> (map int-array [[1 2] [3 4] [5 6]])
+    (into-array)
+    (tc/dataset {:layout :as-columns}))

 
:_unnamed [2 3]:

 
@@ -2057,10 +2059,10 @@ 
Dataset creation

 
 
 

 
:as-rows with names

-
(-> (map int-array [[1 2] [3 4] [5 6]])
-    (into-array)
-    (tc/dataset {:layout :as-rows
-                 :column-names [:a :b]}))

+
(-> (map int-array [[1 2] [3 4] [5 6]])
+    (into-array)
+    (tc/dataset {:layout :as-rows
+                 :column-names [:a :b]}))

 
:_unnamed [3 2]:

 
@@ -2085,10 +2087,10 @@ 
Dataset creation

 
 
 

 
Any objects

-
(-> (map to-array [[:a :z] ["ee" "ww"] [9 10]])
-    (into-array)
-    (tc/dataset {:column-names [:a :b :c]
-                 :layout :as-columns}))

+
(-> (map to-array [[:a :z] ["ee" "ww"] [9 10]])
+    (into-array)
+    (tc/dataset {:column-names [:a :b :c]
+                 :layout :as-columns}))

 
:_unnamed [2 3]:

 
@@ -2113,9 +2115,9 @@ 
Dataset creation

 
 

 

 
Create dataset using macro let-dataset to simulate R tibble function. Each binding is converted into a column.

-
(tc/let-dataset [x (range 1 6)
-                  y 1
-                  z (dfn/+ x y)])

+
(tc/let-dataset [x (range 1 6)
+                  y 1
+                  z (dfn/+ x y)])

 
_unnamed [5 3]:

 
@@ -2155,7 +2157,7 @@ 
Dataset creation

 
 

 

 
Import CSV file

-
(tc/dataset "data/family.csv")

+
(tc/dataset "data/family.csv")

 
data/family.csv [5 5]:

 
@@ -2207,8 +2209,8 @@ 
Dataset creation

 
 

 

 
Import from URL

-
(defonce ds (tc/dataset "https://vega.github.io/vega-lite/examples/data/seattle-weather.csv"))

-
ds

+
(defonce ds (tc/dataset "https://vega.github.io/vega-lite/examples/data/seattle-weather.csv"))

+
ds

 
https://vega.github.io/vega-lite/examples/data/seattle-weather.csv [1461 6]:

 
@@ -2402,7 +2404,7 @@ 
Dataset creation

 
 

 

 
When none of above works, singleton dataset is created. Along with the error message from the exception thrown by tech.ml.dataset

-
(tc/dataset 999)

+
(tc/dataset 999)

 
_unnamed [1 2]:

 
@@ -2421,11 +2423,11 @@ 
Dataset creation
To see the stack trace, turn it on by setting :stack-trace? to true.
Set column name for single value. Also set the dataset name and turn off creating error message column.

-
(tc/dataset 999 {:single-value-column-name "my-single-value"
-                 :error-column? false})
-(tc/dataset 999 {:single-value-column-name ""
-                 :dataset-name "Single value"
-                 :error-column? false})

+
(tc/dataset 999 {:single-value-column-name "my-single-value"
+                 :error-column? false})
+(tc/dataset 999 {:single-value-column-name ""
+                 :dataset-name "Single value"
+                 :error-column? false})
_unnamed [1 1]:

 
 
 
 
 
 

@@ -2462,15 +2464,15 @@ 
Saving
  • options:
  • :separator - string or separator char.
    • 
-
    (tc/write! ds "output.tsv.gz")
-(.exists (clojure.java.io/file "output.tsv.gz"))
    
-
    nil
+
    (tc/write! ds "output.tsv.gz")
+(.exists (clojure.java.io/file "output.tsv.gz"))
    
+
    1462
 true
    
 
    
 
    Nippy
    
-
    (tc/write! DS "output.nippy.gz")
    
+
    (tc/write! DS "output.nippy.gz")
    
 
    nil
    
-
    (tc/dataset "output.nippy.gz")
    
+
    (tc/dataset "output.nippy.gz")
    
 
    output.nippy.gz [9 4]:
    
 
    
 
 
 
 
    
@@ -2545,15 +2547,15 @@ 
    Dataset related functions
    
 
    Summary functions about the dataset like number of rows, columns and basic stats.
    
 
    
 
    Number of rows
    
-
    (tc/row-count ds)
    
+
    (tc/row-count ds)
    
 
    1461
    
 
    
 
    Number of columns
    
-
    (tc/column-count ds)
    
+
    (tc/column-count ds)
    
 
    6
    
 
    
 
    Shape of the dataset, [row count, column count]
    
-
    (tc/shape ds)
    
+
    (tc/shape ds)
    
 
    [1461 6]
    
 
    
 
    General info about dataset. There are three variants:
    
@@ -2562,9 +2564,9 @@ 
    Dataset related functions
    
 
  • :basic - just name, row and column count and information if dataset is a result of group-by operation
    • 
 
  • :columns - columns’ metadata
    • 
 
-
    (tc/info ds)
-(tc/info ds :basic)
-(tc/info ds :columns)
    
+
    (tc/info ds)
+(tc/info ds :basic)
+(tc/info ds :columns)
    
 
    https://vega.github.io/vega-lite/examples/data/seattle-weather.csv: descriptive-stats [6 12]:
    
 
    
 
    @@ -2760,13 +2762,13 @@ 
    Dataset related functions
    
 
    
 

    
 
    
 
    Getting a dataset name
    
-
    (tc/dataset-name ds)
    
+
    (tc/dataset-name ds)
    
 
    "https://vega.github.io/vega-lite/examples/data/seattle-weather.csv"
    
 
    
 
    Setting a dataset name (operation is immutable).
    
-
    (->> "seattle-weather"
-     (tc/set-dataset-name ds)
-     (tc/dataset-name))
    
+
    (->> "seattle-weather"
+     (tc/set-dataset-name ds)
+     (tc/dataset-name))
    
 
    "seattle-weather"
    
 
    
 
    
@@ -2780,10 +2782,11 @@ 
    Columns and rows
    
 
  • :as-double-arrays - array of double arrays
    • 
 
  • :as-vecs - sequence of vectors (rows)
    • 
 
+
    For rows setting :nil-missing? option to false will elide keys for nil values.
    
 
    
 
    Select column.
    
-
    (ds "wind")
-(tc/column ds "date")
    
+
    (ds "wind")
+(tc/column ds "date")
    
 
    #tech.v3.dataset.column<float64>[1461]
 wind
 [4.700, 4.500, 2.300, 4.700, 6.100, 2.200, 2.300, 2.000, 3.400, 3.400, 5.100, 1.900, 1.300, 5.300, 3.200, 5.000, 5.600, 5.000, 1.600, 2.300...]
@@ -2792,7 +2795,7 @@ 
    Columns and rows
    
 [2012-01-01, 2012-01-02, 2012-01-03, 2012-01-04, 2012-01-05, 2012-01-06, 2012-01-07, 2012-01-08, 2012-01-09, 2012-01-10, 2012-01-11, 2012-01-12, 2012-01-13, 2012-01-14, 2012-01-15, 2012-01-16, 2012-01-17, 2012-01-18, 2012-01-19, 2012-01-20...]
    
 
    
 
    Columns as sequence
    
-
    (take 2 (tc/columns ds))
    
+
    (take 2 (tc/columns ds))
    
 
    (#tech.v3.dataset.column<packed-local-date>[1461]
 date
 [2012-01-01, 2012-01-02, 2012-01-03, 2012-01-04, 2012-01-05, 2012-01-06, 2012-01-07, 2012-01-08, 2012-01-09, 2012-01-10, 2012-01-11, 2012-01-12, 2012-01-13, 2012-01-14, 2012-01-15, 2012-01-16, 2012-01-17, 2012-01-18, 2012-01-19, 2012-01-20...] #tech.v3.dataset.column<float64>[1461]
@@ -2800,59 +2803,72 @@ 
    Columns and rows
    
 [0.000, 10.90, 0.8000, 20.30, 1.300, 2.500, 0.000, 0.000, 4.300, 1.000, 0.000, 0.000, 0.000, 4.100, 5.300, 2.500, 8.100, 19.80, 15.20, 13.50...])
    
 
    
 
    Columns as map
    
-
    (keys (tc/columns ds :as-map))
    
+
    (keys (tc/columns ds :as-map))
    
 
    ("date" "precipitation" "temp_max" "temp_min" "wind" "weather")
    
 
    
 
    Rows as sequence of sequences
    
-
    (take 2 (tc/rows ds))
    
-
    ([#object[java.time.LocalDate 0x7deffbbe "2012-01-01"] 0.0 12.8 5.0 4.7 "drizzle"] [#object[java.time.LocalDate 0x1598fb79 "2012-01-02"] 10.9 10.6 2.8 4.5 "rain"])
    
+
    (take 2 (tc/rows ds))
    
+
    ([#object[java.time.LocalDate 0x3ad18613 "2012-01-01"] 0.0 12.8 5.0 4.7 "drizzle"] [#object[java.time.LocalDate 0x63f0fc93 "2012-01-02"] 10.9 10.6 2.8 4.5 "rain"])
    
 
    
 
    Select rows/columns as double-double-array
    
-
    (-> ds
-    (tc/select-columns :type/numerical)
-    (tc/head)
-    (tc/rows :as-double-arrays))
    
-
    #object["[[D" 0x57b00f2b "[[D@57b00f2b"]
    
-
    (-> ds
-    (tc/select-columns :type/numerical)
-    (tc/head)
-    (tc/columns :as-double-arrays))
    
-
    #object["[[D" 0x4d7081ab "[[D@4d7081ab"]
    
+
    (-> ds
+    (tc/select-columns :type/numerical)
+    (tc/head)
+    (tc/rows :as-double-arrays))
    
+
    #object["[[D" 0x7913631e "[[D@7913631e"]
    
+
    (-> ds
+    (tc/select-columns :type/numerical)
+    (tc/head)
+    (tc/columns :as-double-arrays))
    
+
    #object["[[D" 0x33ac292c "[[D@33ac292c"]
    
 
    
 
    Rows as sequence of maps
    
-
    (clojure.pprint/pprint (take 2 (tc/rows ds :as-maps)))
    
-
    ({"date" #object[java.time.LocalDate 0x7a5a6b8d "2012-01-01"],
+
    (clojure.pprint/pprint (take 2 (tc/rows ds :as-maps)))
    
+
    ({"date" #object[java.time.LocalDate 0x46e26443 "2012-01-01"],
   "precipitation" 0.0,
   "temp_max" 12.8,
   "temp_min" 5.0,
   "wind" 4.7,
   "weather" "drizzle"}
- {"date" #object[java.time.LocalDate 0x5942465f "2012-01-02"],
+ {"date" #object[java.time.LocalDate 0x1f2b8ae2 "2012-01-02"],
   "precipitation" 10.9,
   "temp_max" 10.6,
   "temp_min" 2.8,
   "wind" 4.5,
   "weather" "rain"})
    
+
    
+
    Rows with missing values
    
+
    (-> {:a [1 nil 2]
+     :b [3 4 nil]}
+    (tc/dataset)
+    (tc/rows :as-maps))
    
+
    [{:a 1, :b 3} {:a nil, :b 4} {:a 2, :b nil}]
    
+
    Rows with elided missing values
    
+
    (-> {:a [1 nil 2]
+     :b [3 4 nil]}
+    (tc/dataset)
+    (tc/rows :as-maps {:nil-missing? false}))
    
+
    [{:a 1, :b 3} {:b 4} {:a 2}]
    
 
    
 
    
 
    Single entry
    
 
    Get single value from the table using get-in from Clojure API or get-entry. First argument is column name, second is row number.
    
-
    (get-in ds ["wind" 2])
    
+
    (get-in ds ["wind" 2])
    
 
    2.3
    
-
    (tc/get-entry ds "wind" 2)
    
+
    (tc/get-entry ds "wind" 2)
    
 
    2.3
    
 
    
 
    
 
    Printing
    
 
    Dataset is printed using dataset->str or print-dataset functions. Options are the same as in tech.ml.dataset/dataset-data->str. Most important is :print-line-policy which can be one of the: :single, :repl or :markdown.
    
-
    (tc/print-dataset (tc/group-by DS :V1) {:print-line-policy :markdown})
    
+
    (tc/print-dataset (tc/group-by DS :V1) {:print-line-policy :markdown})
    
 
    _unnamed [2 3]:
 
 | :name | :group-id |                                                                                                                                                                                                                                                             :data |
 |------:|----------:|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
 |     1 |         0 | Group: 1 [5 4]:<br><br>\| :V1 \| :V2 \| :V3 \| :V4 \|<br>\|----:\|----:\|----:\|-----\|<br>\|   1 \|   1 \| 0.5 \|   A \|<br>\|   1 \|   3 \| 1.5 \|   C \|<br>\|   1 \|   5 \| 1.0 \|   B \|<br>\|   1 \|   7 \| 0.5 \|   A \|<br>\|   1 \|   9 \| 1.5 \|   C \| |
 |     2 |         1 |                                   Group: 2 [4 4]:<br><br>\| :V1 \| :V2 \| :V3 \| :V4 \|<br>\|----:\|----:\|----:\|-----\|<br>\|   2 \|   2 \| 1.0 \|   B \|<br>\|   2 \|   4 \| 0.5 \|   A \|<br>\|   2 \|   6 \| 1.5 \|   C \|<br>\|   2 \|   8 \| 1.0 \|   B \| |
    
-
    (tc/print-dataset (tc/group-by DS :V1) {:print-line-policy :repl})
    
+
    (tc/print-dataset (tc/group-by DS :V1) {:print-line-policy :repl})
    
 
    _unnamed [2 3]:
 
 | :name | :group-id |                          :data |
@@ -2874,7 +2890,7 @@ 
    Printing
    
 |       |           | \|   2 \|   4 \| 0.5 \|   A \| |
 |       |           | \|   2 \|   6 \| 1.5 \|   C \| |
 |       |           | \|   2 \|   8 \| 1.0 \|   B \| |
    
-
    (tc/print-dataset (tc/group-by DS :V1) {:print-line-policy :single})
    
+
    (tc/print-dataset (tc/group-by DS :V1) {:print-line-policy :single})
    
 
    _unnamed [2 3]:
 
 | :name | :group-id |           :data |
@@ -2900,17 +2916,13 @@ 
    Grouping
    
 
      
 
    • ds - dataset
      • 
 
    • grouping-selector - what to use for grouping
      • 
-
    • options:
-
        
-
      • :result-type - what to return:
-
          
+
        • options:
          • 
+
        • :result-type - what to return:
          • 
 
        • :as-dataset (default) - return grouped dataset
          • 
 
        • :as-indexes - return rows ids (row number from original dataset)
          • 
 
        • :as-map - return map with group names as keys and subdataset as values
          • 
 
        • :as-seq - return sequens of subdatasets
          • 
-
        • 
 
      • :select-keys - list of the columns passed to a grouping selector function
        • 
-
      • 
 
    
 
    All subdatasets (groups) have set name as the group name, additionally group-id is in meta.
    
 
    Grouping can be done by:
    
@@ -2923,20 +2935,20 @@ 
    Grouping
    
 
    Note: currently dataset inside dataset is printed recursively so it renders poorly from markdown. So I will use :as-seq result type to show just group names and groups.
    
 
    
 
    List of columns in grouped dataset
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/column-names))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/column-names))
    
 
    (:V1 :V2 :V3 :V4)
    
 
    
 
    List of columns in grouped dataset treated as regular dataset
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/as-regular-dataset)
-    (tc/column-names))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/as-regular-dataset)
+    (tc/column-names))
    
 
    (:name :group-id :data)
    
 
    
 
    Content of the grouped dataset
    
-
    (tc/columns (tc/group-by DS :V1) :as-map)
    
+
    (tc/columns (tc/group-by DS :V1) :as-map)
    
 
    {:name #tech.v3.dataset.column<int64>[2]
 :name
 [1, 2], :group-id #tech.v3.dataset.column<int64>[2]
@@ -2963,9 +2975,9 @@ 
    Grouping
    
 ]}
    
 
    
 
    Grouped dataset as map
    
-
    (keys (tc/group-by DS :V1 {:result-type :as-map}))
    
+
    (keys (tc/group-by DS :V1 {:result-type :as-map}))
    
 
    (1 2)
    
-
    (vals (tc/group-by DS :V1 {:result-type :as-map}))
    
+
    (vals (tc/group-by DS :V1 {:result-type :as-map}))
    
 
    (Group: 1 [5 4]:
    
 
@@ -3049,11 +3061,11 @@ 
    Grouping
    )
    Group dataset as map of indexes (row ids)
    
-
    (tc/group-by DS :V1 {:result-type :as-indexes})
    
+
    (tc/group-by DS :V1 {:result-type :as-indexes})
    {1 [0 2 4 6 8], 2 [1 3 5 7]}
    Grouped datasets are printed as follows by default.
    
-
    (tc/group-by DS :V1)
    
+
    (tc/group-by DS :V1)
    _unnamed [2 3]:
    
 
 
 
 
 
 
 
 
 
    
@@ -3080,11 +3092,11 @@ 
    Grouping
    To get groups as sequence or a map can be done from grouped dataset using groups->seq and groups->map functions.
    Groups as seq can be obtained by just accessing :data column.
    I will use temporary dataset here.
    
-
    (let [ds (-> {"a" [1 1 2 2]
-              "b" ["a" "b" "c" "d"]}
-             (tc/dataset)
-             (tc/group-by "a"))]
-  (seq (ds :data))) ;; seq is not necessary but Markdown treats `:data` as command here
    
+
    (let [ds (-> {"a" [1 1 2 2]
+              "b" ["a" "b" "c" "d"]}
+             (tc/dataset)
+             (tc/group-by "a"))]
+  (seq (ds :data))) ;; seq is not necessary but Markdown treats `:data` as command here
    (Group: 1 [2 2]:
    
 
 
 
 
 
 
    
@@ -3124,11 +3136,11 @@ 
    Grouping
    
 
 
 
    
 
    )
    
-
    (-> {"a" [1 1 2 2]
-     "b" ["a" "b" "c" "d"]}
-    (tc/dataset)
-    (tc/group-by "a")
-    (tc/groups->seq))
    
+
    (-> {"a" [1 1 2 2]
+     "b" ["a" "b" "c" "d"]}
+    (tc/dataset)
+    (tc/group-by "a")
+    (tc/groups->seq))
    
 
    (Group: 1 [2 2]:
    
 
@@ -3170,11 +3182,11 @@ 
    Grouping
    )
    Groups as map
    
-
    (-> {"a" [1 1 2 2]
-     "b" ["a" "b" "c" "d"]}
-    (tc/dataset)
-    (tc/group-by "a")
-    (tc/groups->map))
    
+
    (-> {"a" [1 1 2 2]
+     "b" ["a" "b" "c" "d"]}
+    (tc/dataset)
+    (tc/group-by "a")
+    (tc/groups->map))
    {1 Group: 1 [2 2]:
    
 
 
 
 
 
 
    
@@ -3216,7 +3228,7 @@ 
    Grouping
    }
    Grouping by more than one column. You can see that group names are maps. When ungrouping is done these maps are used to restore column names.
    
-
    (tc/group-by DS [:V1 :V3] {:result-type :as-seq})
    
+
    (tc/group-by DS [:V1 :V3] {:result-type :as-seq})
    (Group: {:V1 1, :V3 0.5} [2 4]:
    
 
 
 
 
 
 
    
@@ -3352,8 +3364,8 @@ 
    Grouping
    )
    Grouping can be done by providing just row indexes. This way you can assign the same row to more than one group.
    
-
    (tc/group-by DS {"group-a" [1 2 1 2]
-                  "group-b" [5 5 5 1]} {:result-type :as-seq})
    
+
    (tc/group-by DS {"group-a" [1 2 1 2]
+                  "group-b" [5 5 5 1]} {:result-type :as-seq})
    (Group: group-a [4 4]:
    
 
 
 
 
 
 
    
@@ -3431,8 +3443,8 @@ 
    Grouping
    )
    You can group by a result of grouping function which gets row as map and should return group name. When map is used as a group name, ungrouping restore original column names.
    
-
    (tc/group-by DS (fn [row] (* (:V1 row)
-                             (:V3 row))) {:result-type :as-seq})
    
+
    (tc/group-by DS (fn [row] (* (:V1 row)
+                             (:V3 row))) {:result-type :as-seq})
    (Group: 0.5 [2 4]:
    
 
 
 
 
 
 
    
@@ -3555,7 +3567,7 @@ 
    Grouping
    )
    You can use any predicate on column to split dataset into two groups.
    
-
    (tc/group-by DS (comp #(< % 1.0) :V3) {:result-type :as-seq})
    
+
    (tc/group-by DS (comp #(< % 1.0) :V3) {:result-type :as-seq})
    (Group: true [3 4]:
    
 
 
 
 
 
 
    
@@ -3639,7 +3651,7 @@ 
    Grouping
    )
    juxt is also helpful
    
-
    (tc/group-by DS (juxt :V1 :V3) {:result-type :as-seq})
    
+
    (tc/group-by DS (juxt :V1 :V3) {:result-type :as-seq})
    (Group: [1 0.5] [2 4]:
    
 
 
 
 
 
 
    
@@ -3775,8 +3787,8 @@ 
    Grouping
    )
    tech.ml.dataset provides an option to limit columns which are passed to grouping functions. It’s done for performance purposes.
    
-
    (tc/group-by DS identity {:result-type :as-seq
-                           :select-keys [:V1]})
    
+
    (tc/group-by DS identity {:result-type :as-seq
+                           :select-keys [:V1]})
    (Group: {:V1 1} [5 4]:
    
 
 
 
 
 
 
    
@@ -3873,9 +3885,9 @@ 
    Ungrouping
    After ungrouping, order of the rows is kept within the groups but groups are ordered according to the internal storage.
    Grouping and ungrouping.
    
-
    (-> DS
-    (tc/group-by :V3)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V3)
+    (tc/ungroup))
    _unnamed [9 4]:
    
 
 
 
 
 
 
    
@@ -3945,10 +3957,10 @@ 
    Ungrouping
    
 
 
    
 
    
 
    Groups sorted by group name and named.
    
-
    (-> DS
-    (tc/group-by :V3)
-    (tc/ungroup {:order? true
-                  :dataset-name "Ordered by V3"}))
    
+
    (-> DS
+    (tc/group-by :V3)
+    (tc/ungroup {:order? true
+                  :dataset-name "Ordered by V3"}))
    
 
    Ordered by V3 [9 4]:
    
 
@@ -4018,10 +4030,10 @@ 
    Ungrouping
    
 
 
    
 
    
 
    Groups sorted descending by group name and named.
    
-
    (-> DS
-    (tc/group-by :V3)
-    (tc/ungroup {:order? :desc
-                  :dataset-name "Ordered by V3 descending"}))
    
+
    (-> DS
+    (tc/group-by :V3)
+    (tc/ungroup {:order? :desc
+                  :dataset-name "Ordered by V3 descending"}))
    
 
    Ordered by V3 descending [9 4]:
    
 
@@ -4091,10 +4103,10 @@ 
    Ungrouping
    
 
 
    
 
    
 
    Let’s add group name and id as additional columns
    
-
    (-> DS
-    (tc/group-by (comp #(< % 4) :V2))
-    (tc/ungroup {:add-group-as-column true
-                  :add-group-id-as-column true}))
    
+
    (-> DS
+    (tc/group-by (comp #(< % 4) :V2))
+    (tc/ungroup {:add-group-as-column true
+                  :add-group-id-as-column true}))
    
 
    _unnamed [9 6]:
    
 
@@ -4184,10 +4196,10 @@ 
    Ungrouping
    
 
 
    
 
    
 
    Let’s assign different column names
    
-
    (-> DS
-    (tc/group-by (comp #(< % 4) :V2))
-    (tc/ungroup {:add-group-as-column "Is V2 less than 4?"
-                  :add-group-id-as-column "group id"}))
    
+
    (-> DS
+    (tc/group-by (comp #(< % 4) :V2))
+    (tc/ungroup {:add-group-as-column "Is V2 less than 4?"
+                  :add-group-id-as-column "group id"}))
    
 
    _unnamed [9 6]:
    
 
@@ -4277,11 +4289,11 @@ 
    Ungrouping
    
 
 
    
 
    
 
    If we group by map, we can automatically create new columns out of group names.
    
-
    (-> DS
-    (tc/group-by (fn [row] {"V1 and V3 multiplied" (* (:V1 row)
-                                                      (:V3 row))
-                            "V4 as lowercase" (clojure.string/lower-case (:V4 row))}))
-    (tc/ungroup {:add-group-as-column true}))
    
+
    (-> DS
+    (tc/group-by (fn [row] {"V1 and V3 multiplied" (* (:V1 row)
+                                                      (:V3 row))
+                            "V4 as lowercase" (clojure.string/lower-case (:V4 row))}))
+    (tc/ungroup {:add-group-as-column true}))
    
 
    _unnamed [9 6]:
    
 
@@ -4371,12 +4383,12 @@ 
    Ungrouping
    
 
 
    
 
    
 
    We can add group names without separation
    
-
    (-> DS
-    (tc/group-by (fn [row] {"V1 and V3 multiplied" (* (:V1 row)
-                                                      (:V3 row))
-                            "V4 as lowercase" (clojure.string/lower-case (:V4 row))}))
-    (tc/ungroup {:add-group-as-column "just map"
-                  :separate? false}))
    
+
    (-> DS
+    (tc/group-by (fn [row] {"V1 and V3 multiplied" (* (:V1 row)
+                                                      (:V3 row))
+                            "V4 as lowercase" (clojure.string/lower-case (:V4 row))}))
+    (tc/ungroup {:add-group-as-column "just map"
+                  :separate? false}))
    
 
    _unnamed [9 5]:
    
 
@@ -4456,9 +4468,9 @@ 
    Ungrouping
    
 
 
    
 
    
 
    The same applies to group names as sequences
    
-
    (-> DS
-    (tc/group-by (juxt :V1 :V3))
-    (tc/ungroup {:add-group-as-column "abc"}))
    
+
    (-> DS
+    (tc/group-by (juxt :V1 :V3))
+    (tc/ungroup {:add-group-as-column "abc"}))
    
 
    _unnamed [9 6]:
    
 
@@ -4548,9 +4560,9 @@ 
    Ungrouping
    
 
 
    
 
    
 
    Let’s provide column names
    
-
    (-> DS
-    (tc/group-by (juxt :V1 :V3))
-    (tc/ungroup {:add-group-as-column ["v1" "v3"]}))
    
+
    (-> DS
+    (tc/group-by (juxt :V1 :V3))
+    (tc/ungroup {:add-group-as-column ["v1" "v3"]}))
    
 
    _unnamed [9 6]:
    
 
@@ -4640,11 +4652,11 @@ 
    Ungrouping
    
 
 
    
 
    
 
    Also we can supress separation
    
-
    (-> DS
-    (tc/group-by (juxt :V1 :V3))
-    (tc/ungroup {:separate? false
-                  :add-group-as-column true}))
-;; => _unnamed [9 5]:
    
+
    (-> DS
+    (tc/group-by (juxt :V1 :V3))
+    (tc/ungroup {:separate? false
+                  :add-group-as-column true}))
+;; => _unnamed [9 5]:
    
 
    _unnamed [9 5]:
    
 
@@ -4726,23 +4738,23 @@ 
    Ungrouping
    
 
    Other functions
    
 
    To check if dataset is grouped or not just use grouped? function.
    
-
    (tc/grouped? DS)
    
+
    (tc/grouped? DS)
    
 
    nil
    
-
    (tc/grouped? (tc/group-by DS :V1))
    
+
    (tc/grouped? (tc/group-by DS :V1))
    
 
    true
    
 
    
 
    If you want to remove grouping annotation (to make all the functions work as with regular dataset) you can use unmark-group or as-regular-dataset (alias) functions.
    
 
    It can be important when you want to remove some groups (rows) from grouped dataset using drop-rows or something like that.
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/as-regular-dataset)
-    (tc/grouped?))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/as-regular-dataset)
+    (tc/grouped?))
    
 
    nil
    
 
    You can also operate on grouped dataset as a regular one in case you want to access its columns using without-grouping-> threading macro.
    
-
    (-> DS
-    (tc/group-by [:V4 :V1])
-    (tc/without-grouping->
-     (tc/order-by (comp (juxt :V4 :V1) :name))))
    
+
    (-> DS
+    (tc/group-by [:V4 :V1])
+    (tc/without-grouping->
+     (tc/order-by (comp (juxt :V4 :V1) :name))))
    
 
    _unnamed [6 3]:
    
 
    
 
 
    
@@ -4788,10 +4800,10 @@ 
    Other functions
    This is considered internal.
    If you want to implement your own mapping function on grouped dataset you can call process-group-data and pass function operating on datasets. Result should be a dataset to have ungrouping working.
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/process-group-data #(str "Shape: " (vector (tc/row-count %) (tc/column-count %))))
-    (tc/as-regular-dataset))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/process-group-data #(str "Shape: " (vector (tc/row-count %) (tc/column-count %))))
+    (tc/as-regular-dataset))
    _unnamed [2 3]:
    
 
 
 
 
 
 
    
@@ -4818,7 +4830,7 @@ 
    Other functions
    
 
    Columns
    
-
    Column is a special tech.ml.dataset structure based on tech.ml.datatype library. For our purposes we cat treat columns as typed and named sequence bound to particular dataset.
    
+
    Column is a special tech.ml.dataset structure. For our purposes we cat treat columns as typed and named sequence bound to particular dataset.
    
 
    Type of the data is inferred from a sequence during column creation.
    
 
    
 
    Names
    
@@ -4848,55 +4860,55 @@ 
    Names
    
 
    If qualified keyword starts with :!type, complement set is used.
    
 
    
 
    To select all column names you can use column-names function.
    
-
    (tc/column-names DS)
    
+
    (tc/column-names DS)
    
 
    (:V1 :V2 :V3 :V4)
    
 
    or
    
-
    (tc/column-names DS :all)
    
+
    (tc/column-names DS :all)
    
 
    (:V1 :V2 :V3 :V4)
    
 
    In case you want to select column which has name :all (or is sequence or map), put it into a vector. Below code returns empty sequence since there is no such column in the dataset.
    
-
    (tc/column-names DS [:all])
    
+
    (tc/column-names DS [:all])
    
 
    ()
    
 
    
 
    Obviously selecting single name returns it’s name if available
    
-
    (tc/column-names DS :V1)
-(tc/column-names DS "no such column")
    
+
    (tc/column-names DS :V1)
+(tc/column-names DS "no such column")
    
 
    (:V1)
 ()
    
 
    
 
    Select sequence of column names.
    
-
    (tc/column-names DS [:V1 "V2" :V3 :V4 :V5])
    
+
    (tc/column-names DS [:V1 "V2" :V3 :V4 :V5])
    
 
    (:V1 :V3 :V4)
    
 
    
 
    Select names based on regex, columns ends with 1 or 4
    
-
    (tc/column-names DS #".*[14]")
    
+
    (tc/column-names DS #".*[14]")
    
 
    (:V1 :V4)
    
 
    
 
    Select names based on regex operating on type of the column (to check what are the column types, call (tc/info DS :columns). Here we want to get integer columns only.
    
-
    (tc/column-names DS #"^:int.*" :datatype)
    
+
    (tc/column-names DS #"^:int.*" :datatype)
    
 
    (:V1 :V2)
    
 
    or
    
-
    (tc/column-names DS :type/integer)
    
+
    (tc/column-names DS :type/integer)
    
 
    (:V1 :V2)
    
 
    
 
    And finally we can use predicate to select names. Let’s select double precision columns.
    
-
    (tc/column-names DS #{:float64} :datatype)
    
+
    (tc/column-names DS #{:float64} :datatype)
    
 
    (:V3)
    
 
    or
    
-
    (tc/column-names DS :type/float64)
    
+
    (tc/column-names DS :type/float64)
    
 
    (:V3)
    
 
    
 
    If you want to select all columns but given, use complement function. Works only on a predicate.
    
-
    (tc/column-names DS (complement #{:V1}))
-(tc/column-names DS (complement #{:float64}) :datatype)
-(tc/column-names DS :!type/float64)
    
+
    (tc/column-names DS (complement #{:V1}))
+(tc/column-names DS (complement #{:float64}) :datatype)
+(tc/column-names DS :!type/float64)
    
 
    (:V2 :V3 :V4)
 (:V1 :V2 :V4)
 (:V1 :V2 :V4)
    
 
    
 
    You can select column names based on all column metadata at once by using :all metadata selector. Below we want to select column names ending with 1 which have long datatype.
    
-
    (tc/column-names DS (fn [meta]
-                       (and (= :int64 (:datatype meta))
-                            (clojure.string/ends-with? (:name meta) "1"))) :all)
    
+
    (tc/column-names DS (fn [meta]
+                       (and (= :int64 (:datatype meta))
+                            (clojure.string/ends-with? (:name meta) "1"))) :all)
    
 
    (:V1)
    
 
    
 
    
@@ -4904,7 +4916,7 @@ 
    Select
    
 
    select-columns creates dataset with columns selected by columns-selector as described above. Function works on regular and grouped dataset.
    
 
    
 
    Select only float64 columns
    
-
    (tc/select-columns DS #(= :float64 %) :datatype)
    
+
    (tc/select-columns DS #(= :float64 %) :datatype)
    
 
    _unnamed [9 1]:
    
 
    
 
 
 
    
@@ -4943,7 +4955,7 @@ 
    Select
    
 
 
 
    
 
    or
    
-
    (tc/select-columns DS :type/float64)
    
+
    (tc/select-columns DS :type/float64)
    
 
    _unnamed [9 1]:
    
 
@@ -4983,7 +4995,7 @@ 
    Select
    
 
 
    
 
    
 
    Select all but :V1 columns
    
-
    (tc/select-columns DS (complement #{:V1}))
    
+
    (tc/select-columns DS (complement #{:V1}))
    
 
    _unnamed [9 3]:
    
 
@@ -5043,10 +5055,10 @@ 
    Select
    
 
 
    
 
    
 
    If we have grouped data set, column selection is applied to every group separately.
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/select-columns [:V2 :V3])
-    (tc/groups->map))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/select-columns [:V2 :V3])
+    (tc/groups->map))
    
 
    {1 Group: 1 [5 2]:
    
 
@@ -5112,7 +5124,7 @@ 
    Drop
    drop-columns creates dataset with removed columns.
    Drop float64 columns
    
-
    (tc/drop-columns DS #(= :float64 %) :datatype)
    
+
    (tc/drop-columns DS #(= :float64 %) :datatype)
    _unnamed [9 3]:
    
 
 
 
 
 
 
    
@@ -5171,7 +5183,7 @@ 
    Drop
    
 
 
 
    
 
    or
    
-
    (tc/drop-columns DS :type/float64)
    
+
    (tc/drop-columns DS :type/float64)
    
 
    _unnamed [9 3]:
    
 
@@ -5231,7 +5243,7 @@ 
    Drop
    
 
 
    
 
    
 
    Drop all columns but :V1 and :V2
    
-
    (tc/drop-columns DS (complement #{:V1 :V2}))
    
+
    (tc/drop-columns DS (complement #{:V1 :V2}))
    
 
    _unnamed [9 2]:
    
 
@@ -5281,10 +5293,10 @@ 
    Drop
    
 
 
    
 
    
 
    If we have grouped data set, column selection is applied to every group separately. Selected columns are dropped.
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/drop-columns [:V2 :V3])
-    (tc/groups->map))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/drop-columns [:V2 :V3])
+    (tc/groups->map))
    
 
    {1 Group: 1 [5 2]:
    
 
@@ -5349,10 +5361,10 @@ 
    Drop
    Rename
    If you want to rename colums use rename-columns and pass map where keys are old names, values new ones.
    You can also pass mapping function with optional columns-selector
    
-
    (tc/rename-columns DS {:V1 "v1"
-                        :V2 "v2"
-                        :V3 [1 2 3]
-                        :V4 (Object.)})
    
+
    (tc/rename-columns DS {:V1 "v1"
+                        :V2 "v2"
+                        :V3 [1 2 3]
+                        :V4 (Object.)})
    _unnamed [9 4]:
    
 
 
 
 
 
 
    
@@ -5360,7 +5372,7 @@ 
    Rename
    
-
+
@@ -5422,7 +5434,7 @@ 
    Rename
    
 
 
    v1
 v2
 [1 2 3]
 
    
     
 
 
    
 
    
 
    Map all names with function
    
-
    (tc/rename-columns DS (comp str second name))
    
+
    (tc/rename-columns DS (comp str second name))
    
 
    _unnamed [9 4]:
    
 
@@ -5492,7 +5504,7 @@ 
    Rename
    
 
 
    
 
    
 
    Map selected names with function
    
-
    (tc/rename-columns DS [:V1 :V3] (comp str second name))
    
+
    (tc/rename-columns DS [:V1 :V3] (comp str second name))
    
 
    _unnamed [9 4]:
    
 
@@ -5562,13 +5574,13 @@ 
    Rename
    
 
 
    
 
    
 
    Function works on grouped dataset
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/rename-columns {:V1 "v1"
-                         :V2 "v2"
-                         :V3 [1 2 3]
-                         :V4 (Object.)})
-    (tc/groups->map))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/rename-columns {:V1 "v1"
+                         :V2 "v2"
+                         :V3 [1 2 3]
+                         :V4 (Object.)})
+    (tc/groups->map))
    
 
    {1 Group: 1 [5 4]:
    
 
@@ -5576,7 +5588,7 @@ 
    Rename
    
-
+
@@ -5619,7 +5631,7 @@ 
    Rename
    
-
+
@@ -5668,7 +5680,7 @@ 
    Add or update
    Function works on grouped dataset.
    Add single value as column
    
-
    (tc/add-column DS :V5 "X")
    
+
    (tc/add-column DS :V5 "X")
    _unnamed [9 5]:
    
 
 
    v1
 v2
 [1 2 3]
 
    
     
 
 
    v1
 v2
 [1 2 3]
 
    
 
     
 
 
 
 
 
    
@@ -5748,7 +5760,7 @@ 
    Add or update
    
 
 
    
 
    
 
    Replace one column (column is trimmed)
    
-
    (tc/add-column DS :V1 (repeatedly rand))
    
+
    (tc/add-column DS :V1 (repeatedly rand))
    
 
    _unnamed [9 4]:
    
 
@@ -5761,55 +5773,55 @@ 
    Add or update
    
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
@@ -5818,7 +5830,7 @@ 
    Add or update
    
 
 
 
 
    0.938694760.41257790
 1
 0.5
 A
 
    
 
    0.532507600.55281322
 2
 1.0
 B
 
    
 
    0.877588370.15073657
 3
 1.5
 C
 
    
 
    0.840843860.18311522
 4
 0.5
 A
 
    
 
    0.041254280.76664862
 5
 1.0
 B
 
    
 
    0.555929500.95296580
 6
 1.5
 C
 
    
 
    0.543867980.24539929
 7
 0.5
 A
 
    
 
    0.109905270.24504991
 8
 1.0
 B
 
    
 
    0.034571400.10504470
 9
 1.5
 C
 
    
 
    
 
    Copy column
    
-
    (tc/add-column DS :V5 (DS :V1))
    
+
    (tc/add-column DS :V5 (DS :V1))
    
 
    _unnamed [9 5]:
    
 
@@ -5898,7 +5910,7 @@ 
    Add or update
    
 
 
    
 
    
 
    When function is used, argument is whole dataset and the result should be column, sequence or single value
    
-
    (tc/add-column DS :row-count tc/row-count)
    
+
    (tc/add-column DS :row-count tc/row-count)
    
 
    _unnamed [9 5]:
    
 
@@ -5978,10 +5990,10 @@ 
    Add or update
    
 
 
    
 
    
 
    Above example run on grouped dataset, applies function on each group separately.
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/add-column :row-count tc/row-count)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/add-column :row-count tc/row-count)
+    (tc/ungroup))
    
 
    _unnamed [9 5]:
    
 
@@ -6061,7 +6073,7 @@ 
    Add or update
    
 
 
    
 
    
 
    When column which is added is longer than row count in dataset, column is trimmed. When column is shorter, it’s cycled or missing values are appended.
    
-
    (tc/add-column DS :V5 [:r :b] :cycle)
    
+
    (tc/add-column DS :V5 [:r :b] :cycle)
    
 
    _unnamed [9 5]:
    
 
@@ -6139,7 +6151,7 @@ 
    Add or update
    
 
 
 
 
    
-
    (tc/add-column DS :V5 [:r :b] :na)
    
+
    (tc/add-column DS :V5 [:r :b] :na)
    
 
    _unnamed [9 5]:
    
 
@@ -6218,16 +6230,16 @@ 
    Add or update
    
 
 
 
    
 
    Exception is thrown when :strict (default) strategy is used and column size is not equal row count
    
-
    (try
-  (tc/add-column DS :V5 [:r :b])
-  (catch Exception e (str "Exception caught: "(ex-message e))))
    
+
    (try
+  (tc/add-column DS :V5 [:r :b])
+  (catch Exception e (str "Exception caught: "(ex-message e))))
    
 
    "Exception caught: Column size (2) should be exactly the same as dataset row count (9). Consider `:cycle` or `:na` strategy."
    
 
    
 
    Tha same applies for grouped dataset
    
-
    (-> DS
-    (tc/group-by :V3)
-    (tc/add-column :V5 [:r :b] :na)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V3)
+    (tc/add-column :V5 [:r :b] :na)
+    (tc/ungroup))
    
 
    _unnamed [9 5]:
    
 
@@ -6307,10 +6319,10 @@ 
    Add or update
    
 
 
    
 
    
 
    Let’s use other column to fill groups
    
-
    (-> DS
-    (tc/group-by :V3)
-    (tc/add-column :V5 (DS :V2) :cycle)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V3)
+    (tc/add-column :V5 (DS :V2) :cycle)
+    (tc/ungroup))
    
 
    _unnamed [9 5]:
    
 
@@ -6390,9 +6402,9 @@ 
    Add or update
    
 
 
    
 
    
 
    In case you want to add or update several columns you can call add-columns and provide map where keys are column names, vals are columns.
    
-
    (tc/add-columns DS {:V1 #(map inc (% :V1))
-                               :V5 #(map (comp keyword str) (% :V4))
-                               :V6 11})
    
+
    (tc/add-columns DS {:V1 #(map inc (% :V1))
+                               :V5 #(map (comp keyword str) (% :V4))
+                               :V6 11})
    
 
    _unnamed [9 6]:
    
 
@@ -6495,7 +6507,7 @@ 
    Update
    Functions accept column and have to return column or sequence
    Reverse of columns
    
-
    (tc/update-columns DS :all reverse) 
    
+
    (tc/update-columns DS :all reverse) 
    _unnamed [9 4]:
    
 
 
 
 
 
 
    
@@ -6565,8 +6577,8 @@ 
    Update
    
 
 
    
 
    
 
    Apply dec/inc on numerical columns
    
-
    (tc/update-columns DS :type/numerical [(partial map dec)
-                                        (partial map inc)])
    
+
    (tc/update-columns DS :type/numerical [(partial map dec)
+                                        (partial map inc)])
    
 
    _unnamed [9 4]:
    
 
@@ -6636,8 +6648,8 @@ 
    Update
    
 
 
    
 
    
 
    You can also assign a function to a column by packing operations into the map.
    
-
    (tc/update-columns DS {:V1 reverse
-                        :V2 (comp shuffle seq)})
    
+
    (tc/update-columns DS {:V1 reverse
+                        :V2 (comp shuffle seq)})
    
 
    _unnamed [9 4]:
    
 
@@ -6651,49 +6663,49 @@ 
    Update
    
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
@@ -6718,11 +6730,11 @@ 
    Map
    Let’s add numerical columns together
    
-
    (tc/map-columns DS
-                 :sum-of-numbers
-                 (tc/column-names DS  #{:int64 :float64} :datatype)
-                 (fn [& rows]
-                   (reduce + rows)))
    
+
    (tc/map-columns DS
+                 :sum-of-numbers
+                 (tc/column-names DS  #{:int64 :float64} :datatype)
+                 (fn [& rows]
+                   (reduce + rows)))
    _unnamed [9 5]:
    
 
 
 
    
 138
 0.5
 A
 
    
 
    
 289
 1.0
 B
 
    
 
    
 194
 1.5
 C
 
    
 
    
 247
 0.5
 A
 
    
 
    
 172
 1.0
 B
 
    
 
    
 256
 1.5
 C
 
    
 
    
 163
 0.5
 A
 
    
 
    
 225
 1.0
 B
 
    
 
 
 
 
 
    
@@ -6801,13 +6813,13 @@ 
    Map
    
 
 
 
    
 
    The same works on grouped dataset
    
-
    (-> DS
-    (tc/group-by :V4)
-    (tc/map-columns :sum-of-numbers
-                     (tc/column-names DS  #{:int64 :float64} :datatype)
-                     (fn [& rows]
-                       (reduce + rows)))
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V4)
+    (tc/map-columns :sum-of-numbers
+                     (tc/column-names DS  #{:int64 :float64} :datatype)
+                     (fn [& rows]
+                       (reduce + rows)))
+    (tc/ungroup))
    
 
    _unnamed [9 5]:
    
 
@@ -6889,7 +6901,7 @@ 
    Map
    
 
    Reorder
    
 
    To reorder columns use columns selectors to choose what columns go first. The unseleted columns are appended to the end.
    
-
    (tc/reorder-columns DS :V4 [:V3 :V2])
    
+
    (tc/reorder-columns DS :V4 [:V3 :V2])
    
 
    _unnamed [9 4]:
    
 
    
 
 
    
@@ -6959,7 +6971,7 @@ 
    Reorder
    
 
 
    
 
    
 
    This function doesn’t let you select meta field, so you have to call column-names in such case. Below we want to add integer columns at the end.
    
-
    (tc/reorder-columns DS (tc/column-names DS (complement #{:int64}) :datatype))
    
+
    (tc/reorder-columns DS (tc/column-names DS (complement #{:int64}) :datatype))
    
 
    _unnamed [9 4]:
    
 
@@ -7049,9 +7061,9 @@ 
    Type conversion
    The other conversion is casting column into java array (->array) of the type column or provided as argument. Grouped dataset returns sequence of arrays.
    Basic conversion
    
-
    (-> DS
-    (tc/convert-types :V1 :float64)
-    (tc/info :columns))
    
+
    (-> DS
+    (tc/convert-types :V1 :float64)
+    (tc/info :columns))
    _unnamed :column info [4 6]:
    
 
 
 
 
 
 
    
@@ -7101,8 +7113,8 @@ 
    Type conversion
    
 
 
    
 
    
 
    Using custom converter. Let’s treat :V4 as haxadecimal values. See that this way we can map column to any value.
    
-
    (-> DS
-    (tc/convert-types :V4 [[:int16 #(Integer/parseInt % 16)]]))
    
+
    (-> DS
+    (tc/convert-types :V4 [[:int16 #(Integer/parseInt % 16)]]))
    
 
    _unnamed [9 4]:
    
 
@@ -7172,12 +7184,12 @@ 
    Type conversion
    
 
 
    
 
    
 
    You can process several columns at once
    
-
    (-> DS
-    (tc/convert-types {:V1 :float64
-                        :V2 :object
-                        :V3 [:boolean #(< % 1.0)]
-                        :V4 :object})
-    (tc/info :columns))
    
+
    (-> DS
+    (tc/convert-types {:V1 :float64
+                        :V2 :object
+                        :V3 [:boolean #(< % 1.0)]
+                        :V4 :object})
+    (tc/info :columns))
    
 
    _unnamed :column info [4 6]:
    
 
@@ -7227,9 +7239,9 @@ 
    Type conversion
    
 
 
    
 
    
 
    Convert one type into another
    
-
    (-> DS
-    (tc/convert-types :type/numerical :int16)
-    (tc/info :columns))
    
+
    (-> DS
+    (tc/convert-types :type/numerical :int16)
+    (tc/info :columns))
    
 
    _unnamed :column info [4 6]:
    
 
@@ -7279,11 +7291,11 @@ 
    Type conversion
    
 
 
    
 
    
 
    Function works on the grouped dataset
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/convert-types :V1 :float32)
-    (tc/ungroup)
-    (tc/info :columns))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/convert-types :V1 :float32)
+    (tc/ungroup)
+    (tc/info :columns))
    
 
    _unnamed :column info [4 6]:
    
 
@@ -7333,20 +7345,20 @@ 
    Type conversion
    
 
 
    
 
    
 
    Double array conversion.
    
-
    (tc/->array DS :V1)
    
-
    #object["[J" 0x409b5a01 "[J@409b5a01"]
    
+
    (tc/->array DS :V1)
    
+
    #object["[J" 0x6103aa71 "[J@6103aa71"]
    
 
    
 
    Function also works on grouped dataset
    
-
    (-> DS
-    (tc/group-by :V3)
-    (tc/->array :V2))
    
-
    (#object["[J" 0xd8ee65f "[J@d8ee65f"] #object["[J" 0x616256ee "[J@616256ee"] #object["[J" 0x6c1836d9 "[J@6c1836d9"])
    
+
    (-> DS
+    (tc/group-by :V3)
+    (tc/->array :V2))
    
+
    (#object["[J" 0x643bc1cd "[J@643bc1cd"] #object["[J" 0x1aef721e "[J@1aef721e"] #object["[J" 0xc094baa "[J@c094baa"])
    
 
    
 
    You can also cast the type to the other one (if casting is possible):
    
-
    (tc/->array DS :V4 :string)
-(tc/->array DS :V1 :float32)
    
-
    #object["[Ljava.lang.String;" 0x517324c2 "[Ljava.lang.String;@517324c2"]
-#object["[F" 0x4b8e174 "[F@4b8e174"]
    
+
    (tc/->array DS :V4 :string)
+(tc/->array DS :V1 :float32)
    
+
    #object["[Ljava.lang.String;" 0x38c40c75 "[Ljava.lang.String;@38c40c75"]
+#object["[F" 0xcf4d224 "[F@cf4d224"]
    
 
    
 
    
 
    
@@ -7362,7 +7374,7 @@ 
    Rows
    
 
    
 
    Select
    
 
    Select fifth row
    
-
    (tc/select-rows DS 4)
    
+
    (tc/select-rows DS 4)
    
 
    _unnamed [1 4]:
    
 
@@ -7384,7 +7396,7 @@ 
    Select
    
 
 
    
 
    
 
    Select 3 rows
    
-
    (tc/select-rows DS [1 4 5])
    
+
    (tc/select-rows DS [1 4 5])
    
 
    _unnamed [3 4]:
    
 
@@ -7418,7 +7430,7 @@ 
    Select
    
 
 
    
 
    
 
    Select rows using sequence of true/false values
    
-
    (tc/select-rows DS [true nil nil true])
    
+
    (tc/select-rows DS [true nil nil true])
    
 
    _unnamed [2 4]:
    
 
@@ -7446,7 +7458,7 @@ 
    Select
    
 
 
    
 
    
 
    Select rows using predicate
    
-
    (tc/select-rows DS (comp #(< % 1) :V3))
    
+
    (tc/select-rows DS (comp #(< % 1) :V3))
    
 
    _unnamed [3 4]:
    
 
@@ -7480,10 +7492,10 @@ 
    Select
    
 
 
    
 
    
 
    The same works on grouped dataset, let’s select first row from every group.
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/select-rows 0)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/select-rows 0)
+    (tc/ungroup))
    
 
    _unnamed [2 4]:
    
 
@@ -7511,11 +7523,11 @@ 
    Select
    
 
 
    
 
    
 
    If you want to select :V2 values which are lower than or equal mean in grouped dataset you have to precalculate it using :pre.
    
-
    (-> DS
-    (tc/group-by :V4)
-    (tc/select-rows (fn [row] (<= (:V2 row) (:mean row)))
-                     {:pre {:mean #(tech.v3.datatype.functional/mean (% :V2))}})
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V4)
+    (tc/select-rows (fn [row] (<= (:V2 row) (:mean row)))
+                     {:pre {:mean #(tech.v3.datatype.functional/mean (% :V2))}})
+    (tc/ungroup))
    
 
    _unnamed [6 4]:
    
 
@@ -7571,11 +7583,11 @@ 
    Drop
    drop-rows removes rows, and accepts exactly the same parameters as select-rows
    Drop values lower than or equal :V2 column mean in grouped dataset.
    
-
    (-> DS
-    (tc/group-by :V4)
-    (tc/drop-rows (fn [row] (<= (:V2 row) (:mean row)))
-                   {:pre {:mean #(tech.v3.datatype.functional/mean (% :V2))}})
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V4)
+    (tc/drop-rows (fn [row] (<= (:V2 row) (:mean row)))
+                   {:pre {:mean #(tech.v3.datatype.functional/mean (% :V2))}})
+    (tc/ungroup))
    _unnamed [3 4]:
    
 
 
 
 
 
 
    
@@ -7612,8 +7624,8 @@ 
    Drop
    Map rows
    Call a mapping function for every row. Mapping function should return a map, where keys are column names (new or old) and values are column values.
    Works on grouped dataset too.
    
-
    (tc/map-rows DS (fn [{:keys [V1 V2]}] {:V1 0
-                                       :V5 (/ (+ V1 V2) (double V2))}))
    
+
    (tc/map-rows DS (fn [{:keys [V1 V2]}] {:V1 0
+                                       :V5 (/ (+ V1 V2) (double V2))}))
    _unnamed [9 5]:
    
 
 
 
 
 
 
    
@@ -7698,7 +7710,7 @@ 
    Other
    All random functions accept :seed as an option if you want to fix returned result.
    First row
    
-
    (tc/first DS)
    
+
    (tc/first DS)
    _unnamed [1 4]:
    
 
 
 
 
 
 
    
@@ -7720,7 +7732,7 @@ 
    Other
    
 
 
    
 
    
 
    Last row
    
-
    (tc/last DS)
    
+
    (tc/last DS)
    
 
    _unnamed [1 4]:
    
 
@@ -7742,7 +7754,7 @@ 
    Other
    
 
 
    
 
    
 
    Random row (single)
    
-
    (tc/rand-nth DS)
    
+
    (tc/rand-nth DS)
    
 
    _unnamed [1 4]:
    
 
@@ -7756,15 +7768,15 @@ 
    Other
    
-
-
-
+
+
+
    
 
 
 
    
 281.0B61.5C
 
    
     
 
    
 
    
 
    Random row (single) with seed
    
-
    (tc/rand-nth DS {:seed 42})
    
+
    (tc/rand-nth DS {:seed 42})
    
 
    _unnamed [1 4]:
    
 
@@ -7786,7 +7798,7 @@ 
    Other
    
 
 
    
 
    
 
    Random n (default: row count) rows with repetition.
    
-
    (tc/random DS)
    
+
    (tc/random DS)
    
 
    _unnamed [9 4]:
    
 
@@ -7800,15 +7812,15 @@ 
    Other
    
-
-
-
+
+
+
-
-
-
+
+
+
@@ -7817,22 +7829,22 @@ 
    Other
    
-
-
-
-
-
-
-
-
+
+
+
+
+
+
+
+
-
-
-
+
+
+
@@ -7841,22 +7853,22 @@ 
    Other
    
-
-
-
-
+
+
+
+
-
-
-
-
+
+
+
+
    
 
 
 
    
 131.5C70.5A
 
    
 
    
 240.5A61.5C
 
    
 
    
 2
 A
 
    
 
    281.0B
    2417
 0.5
 A
 
    191.5C
    
 
    
 151.0B31.5C
 
    
 
    
 2
 B
 
    
 
    191.5C240.5A
 
    
 
    151.0B261.5C
 
    
     
 
    
 
    
 
    Five random rows with repetition
    
-
    (tc/random DS 5)
    
+
    (tc/random DS 5)
    
 
    _unnamed [5 4]:
    
 
@@ -7869,8 +7881,20 @@ 
    Other
    
+
+
+
+
+
+
+
+
+
+
+
+
-
+
@@ -7882,27 +7906,15 @@ 
    Other
    
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
+
+
+
    
 
 
 
 
    221.0B
    261.5C
    
 139
 1.5
 C
 
    
 
 
    
 281.0B
    281.0B
    170.5A61.5C
 
    
     
 
    
 
    
 
    Five random, non-repeating rows
    
-
    (tc/random DS 5 {:repeat? false})
    
+
    (tc/random DS 5 {:repeat? false})
    
 
    _unnamed [5 4]:
    
 
@@ -7921,8 +7933,8 @@ 
    Other
    
-
-
+
+
@@ -7933,14 +7945,14 @@ 
    Other
    
-
-
-
-
+
+
+
+
-
-
+
+
@@ -7948,7 +7960,7 @@ 
    Other
    
 
 
    A
 
    
 
    2215
 1.0
 B
 
    
 
    A
 
    
 
    131.5C281.0B
 
    
 
    1926
 1.5
 C
 
    
 
    
 
    
 
    Five random, with seed
    
-
    (tc/random DS 5 {:seed 42})
    
+
    (tc/random DS 5 {:seed 42})
    
 
    _unnamed [5 4]:
    
 
@@ -7994,7 +8006,7 @@ 
    Other
    
 
 
    
 
    
 
    Shuffle dataset
    
-
    (tc/shuffle DS)
    
+
    (tc/shuffle DS)
    
 
    _unnamed [9 4]:
    
 
@@ -8007,35 +8019,35 @@ 
    Other
    
-
-
+
+
-
-
-
-
-
-
-
+
-
-
-
-
-
-
-
-
+
+
+
+
+
+
+
+
+
+
+
+
+
+
@@ -8044,27 +8056,27 @@ 
    Other
    
+
+
+
+
+
+
-
-
-
-
-
-
-
-
-
+
+
+
    
 
 
 
 
    2815
 1.0
 B
 
    
 
    221.0B
    1
 17
 0.5
 A
 
    151.0B
    
 
    17261.5C
    24
 0.5
 A
 
    221.0B
    
 
    
 1
 9
 
    
 
    
 110.5A
    1
 3
 1.5
 C
 
    240.5A
    
 
    
 261.5C81.0B
 
    
     
 
    
 
    
 
    Shuffle with seed
    
-
    (tc/shuffle DS {:seed 42})
    
+
    (tc/shuffle DS {:seed 42})
    
 
    _unnamed [9 4]:
    
 
@@ -8134,7 +8146,7 @@ 
    Other
    
 
 
    
 
    
 
    First n rows (default 5)
    
-
    (tc/head DS)
    
+
    (tc/head DS)
    
 
    _unnamed [5 4]:
    
 
@@ -8180,7 +8192,7 @@ 
    Other
    
 
 
    
 
    
 
    Last n rows (default 5)
    
-
    (tc/tail DS)
    
+
    (tc/tail DS)
    
 
    _unnamed [5 4]:
    
 
@@ -8229,7 +8241,7 @@ 
    Other
    :desc? options (default: true) sorts input with descending order, giving top values under 0 value.
    rank is zero based and is defined at tablecloth.api.utils namespace.
    
-
    (tc/by-rank DS :V3 zero?) ;; most V3 values
    
+
    (tc/by-rank DS :V3 zero?) ;; most V3 values
    _unnamed [3 4]:
    
 
 
 
 
 
 
    
@@ -8261,7 +8273,7 @@ 
    Other
    
 
 
 
 
    
-
    (tc/by-rank DS :V3 zero? {:desc? false}) ;; least V3 values
    
+
    (tc/by-rank DS :V3 zero? {:desc? false}) ;; least V3 values
    
 
    _unnamed [3 4]:
    
 
@@ -8295,7 +8307,7 @@ 
    Other
    
 
 
    
 
    
 
    Rank also works on multiple columns
    
-
    (tc/by-rank DS [:V1 :V3] zero? {:desc? false})
    
+
    (tc/by-rank DS [:V1 :V3] zero? {:desc? false})
    
 
    _unnamed [2 4]:
    
 
@@ -8323,10 +8335,10 @@ 
    Other
    
 
 
    
 
    
 
    Select 5 random rows from each group
    
-
    (-> DS
-    (tc/group-by :V4)
-    (tc/random 5)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V4)
+    (tc/random 5)
+    (tc/ungroup))
    
 
    _unnamed [15 4]:
    
 
@@ -8340,55 +8352,55 @@ 
    Other
    
-
+
-
-
+
+
-
-
+
+
-
+
-
+
-
-
+
+
-
+
-
-
+
+
-
-
+
+
@@ -8400,7 +8412,7 @@ 
    Other
    
-
+
@@ -8411,8 +8423,8 @@ 
    Other
    
-
-
+
+
@@ -8441,7 +8453,7 @@ 
    Aggregate
    By default resulting column names are prefixed with summary prefix (set it with :default-column-name-prefix option).
    Let’s calculate mean of some columns
    
-
    (tc/aggregate DS #(reduce + (% :V2)))
    
+
    (tc/aggregate DS #(reduce + (% :V2)))
    _unnamed [1 1]:
    
 
 
 
    
 117
 0.5
 A
 
    
 
    1124
 0.5
 A
 
    
 
    1124
 0.5
 A
 
    
 
    
 171
 0.5
 A
 
    
 
    
 117
 0.5
 A
 
    
 
    1528
 1.0
 B
 
    
 
    
 282
 1.0
 B
 
    
 
    1528
 1.0
 B
 
    
 
    1528
 1.0
 B
 
    
 
 
    
 193
 1.5
 C
 
    
 
    C
 
    
 
    1926
 1.5
 C
 
    
 
 
 
 
 
    
@@ -8457,7 +8469,7 @@ 
    Aggregate
    
 
 
    
 
    
 
    Let’s give resulting column a name.
    
-
    (tc/aggregate DS {:sum-of-V2 #(reduce + (% :V2))})
    
+
    (tc/aggregate DS {:sum-of-V2 #(reduce + (% :V2))})
    
 
    _unnamed [1 1]:
    
 
@@ -8473,7 +8485,7 @@ 
    Aggregate
    
 
 
    
 
    
 
    Sequential result is spread into separate columns
    
-
    (tc/aggregate DS #(take 5(% :V2)))
    
+
    (tc/aggregate DS #(take 5(% :V2)))
    
 
    _unnamed [1 5]:
    
 
@@ -8497,9 +8509,9 @@ 
    Aggregate
    
 
 
    
 
    
 
    You can combine all variants and rename default prefix
    
-
    (tc/aggregate DS [#(take 3 (% :V2))
-                   (fn [ds] {:sum-v1 (reduce + (ds :V1))
-                            :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"})
    
+
    (tc/aggregate DS [#(take 3 (% :V2))
+                   (fn [ds] {:sum-v1 (reduce + (ds :V1))
+                            :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"})
    
 
    _unnamed [1 5]:
    
 @@ -8530,11 +8542,11 @@ 
    Aggregate
    
 

 
    
 
    
 
    Processing grouped dataset
    
-
    (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate [#(take 3 (% :V2))
-                    (fn [ds] {:sum-v1 (reduce + (ds :V1))
-                             :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"}))
    
+
    (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate [#(take 3 (% :V2))
+                    (fn [ds] {:sum-v1 (reduce + (ds :V1))
+                             :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"}))
    
 
    _unnamed [3 6]:
    
 @@ -8583,12 +8595,12 @@ 
    Aggregate
    
 

 
 
    
 
    Result of aggregating is automatically ungrouped, you can skip this step by stetting :ungroup option to false.
    
-
    (-> DS
-    (tc/group-by [:V3])
-    (tc/aggregate [#(take 3 (% :V2))
-                    (fn [ds] {:sum-v1 (reduce + (ds :V1))
-                             :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"
-                                                              :ungroup? false}))
    
+
    (-> DS
+    (tc/group-by [:V3])
+    (tc/aggregate [#(take 3 (% :V2))
+                    (fn [ds] {:sum-v1 (reduce + (ds :V1))
+                             :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"
+                                                              :ungroup? false}))
    
 
    _unnamed [3 3]:
    
 
@@ -8619,7 +8631,7 @@ 
    Aggregate
    
 
    Column
    
 
    You can perform columnar aggreagation also. aggregate-columns selects columns and apply aggregating function (or sequence of functions) for each column separately.
    
-
    (tc/aggregate-columns DS [:V1 :V2 :V3] #(reduce + %))
    
+
    (tc/aggregate-columns DS [:V1 :V2 :V3] #(reduce + %))
    
 
    _unnamed [1 3]:
    
 
    
 
 
    
@@ -8638,9 +8650,9 @@ 
    Column
    
 
 
 
    
 
    
-
    (tc/aggregate-columns DS [:V1 :V2 :V3] [#(reduce + %)
-                                         #(reduce max %)
-                                         #(reduce * %)])
    
+
    (tc/aggregate-columns DS [:V1 :V2 :V3] [#(reduce + %)
+                                         #(reduce max %)
+                                         #(reduce * %)])
    
 
    _unnamed [1 3]:
    
 
@@ -8659,9 +8671,9 @@ 
    Column
    
 
 
 
    
 
    
-
    (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns [:V1 :V2 :V3] #(reduce + %)))
    
+
    (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns [:V1 :V2 :V3] #(reduce + %)))
    
 
    _unnamed [3 4]:
    
 
@@ -8694,9 +8706,9 @@ 
    Column
    
 
 
 
    
 
    You can also aggregate whole dataset
    
-
    (-> DS
-    (tc/drop-columns :V4)
-    (tc/aggregate-columns #(reduce + %)))
    
+
    (-> DS
+    (tc/drop-columns :V4)
+    (tc/aggregate-columns #(reduce + %)))
    
 
    _unnamed [1 3]:
    
 
@@ -8725,11 +8737,11 @@ 
    Crosstab
  • :replace-missing? - should missing values be replaced (default: true) with :missing-value (default: 0)
  • :pivot? - if false, flat aggregation result is returned (default: false)
    • 
-
    (def ctds (tc/dataset {:a [:foo :foo :bar :bar :foo :foo]
-                       :b [:one :one :two :one :two :one]
-                       :c [:dull :dull :shiny :dull :dull :shiny]}))
    
+
    (def ctds (tc/dataset {:a [:foo :foo :bar :bar :foo :foo]
+                       :b [:one :one :two :one :two :one]
+                       :c [:dull :dull :shiny :dull :dull :shiny]}))
    #’user/ctds
    
-
    ctds
    
+
    ctds
    _unnamed [6 3]:
 
 |   :a |   :b |     :c |
@@ -8741,7 +8753,7 @@ 
    Crosstab
    
 | :foo | :two |  :dull |
 | :foo | :one | :shiny |
    
-
    (tc/crosstab ctds :a [:b :c])
    
+
    (tc/crosstab ctds :a [:b :c])
    _unnamed [2 5]:
    
 
 
 
 
 
 
 
 
 
    
@@ -8772,7 +8784,7 @@ 
    Crosstab
    
 
 
    
 
    
 
    With marginals
    
-
    (tc/crosstab ctds :a [:b :c] {:marginal-rows true :marginal-cols true})
    
+
    (tc/crosstab ctds :a [:b :c] {:marginal-rows true :marginal-cols true})
    
 
    _unnamed [3 6]:
    
 
@@ -8814,7 +8826,7 @@ 
    Crosstab
    
 
 
    
 
    
 
    Set missing value to -1
    
-
    (tc/crosstab ctds :a [:b :c] {:missing-value -1})
    
+
    (tc/crosstab ctds :a [:b :c] {:missing-value -1})
    
 
    _unnamed [2 5]:
    
 
@@ -8845,7 +8857,7 @@ 
    Crosstab
    
 
 
    
 
    
 
    Turn off pivoting
    
-
    (tc/crosstab ctds :a [:b :c] {:pivot? false})
    
+
    (tc/crosstab ctds :a [:b :c] {:pivot? false})
    
 
    _unnamed [5 3]:
    
 
@@ -8896,7 +8908,7 @@ 
    Order
    :select-keys limits row map provided to ordering functions.
    Order by single column, ascending
    
-
    (tc/order-by DS :V1)
    
+
    (tc/order-by DS :V1)
    _unnamed [9 4]:
    
 
 
 
 
 
 
    
@@ -8966,7 +8978,7 @@ 
    Order
    
 
 
    
 
    
 
    Descending order
    
-
    (tc/order-by DS :V1 :desc)
    
+
    (tc/order-by DS :V1 :desc)
    
 
    _unnamed [9 4]:
    
 
@@ -9036,7 +9048,7 @@ 
    Order
    
 
 
    
 
    
 
    Order by two columns
    
-
    (tc/order-by DS [:V1 :V2])
    
+
    (tc/order-by DS [:V1 :V2])
    
 
    _unnamed [9 4]:
    
 
@@ -9106,7 +9118,7 @@ 
    Order
    
 
 
    
 
    
 
    Use different orders for columns
    
-
    (tc/order-by DS [:V1 :V2] [:asc :desc])
    
+
    (tc/order-by DS [:V1 :V2] [:asc :desc])
    
 
    _unnamed [9 4]:
    
 
@@ -9174,7 +9186,7 @@ 
    Order
    
 
 
 
 
    
-
    (tc/order-by DS [:V1 :V2] [:desc :desc])
    
+
    (tc/order-by DS [:V1 :V2] [:desc :desc])
    
 
    _unnamed [9 4]:
    
 
@@ -9242,7 +9254,7 @@ 
    Order
    
 
 
 
 
    
-
    (tc/order-by DS [:V1 :V3] [:desc :asc])
    
+
    (tc/order-by DS [:V1 :V3] [:desc :asc])
    
 
    _unnamed [9 4]:
    
 
@@ -9312,9 +9324,9 @@ 
    Order
    
 
 
    
 
    
 
    Custom function can be used to provided ordering key. Here order by :V4 descending, then by product of other columns ascending.
    
-
    (tc/order-by DS [:V4 (fn [row] (* (:V1 row)
-                                  (:V2 row)
-                                  (:V3 row)))] [:desc :asc])
    
+
    (tc/order-by DS [:V4 (fn [row] (* (:V1 row)
+                                  (:V2 row)
+                                  (:V3 row)))] [:desc :asc])
    
 
    _unnamed [9 4]:
    
 
@@ -9384,19 +9396,19 @@ 
    Order
    
 
 
    
 
    
 
    Custom comparator also can be used in case objects are not comparable by default. Let’s define artificial one: if Euclidean distance is lower than 2, compare along z else along x and y. We use first three columns for that.
    
-
    (defn dist
-  [v1 v2]
-  (->> v2
-       (map - v1)
-       (map #(* % %))
-       (reduce +)
-       (Math/sqrt)))
    
+
    (defn dist
+  [v1 v2]
+  (->> v2
+       (map - v1)
+       (map #(* % %))
+       (reduce +)
+       (Math/sqrt)))
    
 
    #'user/dist
    
-
    (tc/order-by DS [:V1 :V2 :V3] (fn [[x1 y1 z1 :as v1] [x2 y2 z2 :as v2]]
-                                (let [d (dist v1 v2)]
-                                  (if (< d 2.0)
-                                    (compare z1 z2)
-                                    (compare [x1 y1] [x2 y2])))))
    
+
    (tc/order-by DS [:V1 :V2 :V3] (fn [[x1 y1 z1 :as v1] [x2 y2 z2 :as v2]]
+                                (let [d (dist v1 v2)]
+                                  (if (< d 2.0)
+                                    (compare z1 z2)
+                                    (compare [x1 y1] [x2 y2])))))
    
 
    _unnamed [9 4]:
    
 
@@ -9471,7 +9483,7 @@ 
    Unique
    unique-by works on groups
    Remove duplicates from whole dataset
    
-
    (tc/unique-by DS)
    
+
    (tc/unique-by DS)
    _unnamed [9 4]:
    
 
 
 
 
 
 
    
@@ -9541,7 +9553,7 @@ 
    Unique
    
 
 
    
 
    
 
    Remove duplicates from each group selected by column.
    
-
    (tc/unique-by DS :V1)
    
+
    (tc/unique-by DS :V1)
    
 
    _unnamed [2 4]:
    
 
@@ -9569,7 +9581,7 @@ 
    Unique
    
 
 
    
 
    
 
    Pair of columns
    
-
    (tc/unique-by DS [:V1 :V3])
    
+
    (tc/unique-by DS [:V1 :V3])
    
 
    _unnamed [6 4]:
    
 
@@ -9621,7 +9633,7 @@ 
    Unique
    
 
 
    
 
    
 
    Also function can be used, split dataset by modulo 3 on columns :V2
    
-
    (tc/unique-by DS (fn [m] (mod (:V2 m) 3)))
    
+
    (tc/unique-by DS (fn [m] (mod (:V2 m) 3)))
    
 
    _unnamed [3 4]:
    
 
@@ -9655,10 +9667,10 @@ 
    Unique
    
 
 
    
 
    
 
    The same can be achived with group-by
    
-
    (-> DS
-    (tc/group-by (fn [m] (mod (:V2 m) 3)))
-    (tc/first)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by (fn [m] (mod (:V2 m) 3)))
+    (tc/first)
+    (tc/ungroup))
    
 
    _unnamed [3 4]:
    
 
@@ -9692,10 +9704,10 @@ 
    Unique
    
 
 
    
 
    
 
    Grouped dataset
    
-
    (-> DS
-    (tc/group-by :V4)
-    (tc/unique-by :V1)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V4)
+    (tc/unique-by :V1)
+    (tc/ungroup))
    
 
    _unnamed [6 4]:
    
 
@@ -9756,7 +9768,7 @@ 
    Strategies
    Last
    
-
    (tc/unique-by DS :V1 {:strategy :last})
    
+
    (tc/unique-by DS :V1 {:strategy :last})
    _unnamed [2 4]:
    
 
 
 
 
 
 
    
@@ -9784,7 +9796,7 @@ 
    Strategies
    
 
 
    
 
    
 
    Random
    
-
    (tc/unique-by DS :V1 {:strategy :random})
    
+
    (tc/unique-by DS :V1 {:strategy :random})
    
 
    _unnamed [2 4]:
    
 
@@ -9798,9 +9810,9 @@ 
    Strategies
    
-
-
-
+
+
+
@@ -9812,7 +9824,7 @@ 
    Strategies
    
 
 
 
    
 110.5A31.5C
 
    
 
    
 2
 
    
 
    
 
    Pack columns into vector
    
-
    (tc/unique-by DS :V4 {:strategy vec})
    
+
    (tc/unique-by DS :V4 {:strategy vec})
    
 
    _unnamed [3 3]:
    
 
@@ -9842,7 +9854,7 @@ 
    Strategies
    
 
 
    
 
    
 
    Sum columns
    
-
    (tc/unique-by DS :V4 {:strategy (partial reduce +)})
    
+
    (tc/unique-by DS :V4 {:strategy (partial reduce +)})
    
 
    _unnamed [3 3]:
    
 
@@ -9872,7 +9884,7 @@ 
    Strategies
    
 
 
    
 
    
 
    Group by function and apply functions
    
-
    (tc/unique-by DS (fn [m] (mod (:V2 m) 3)) {:strategy vec})
    
+
    (tc/unique-by DS (fn [m] (mod (:V2 m) 3)) {:strategy vec})
    
 
    _unnamed [3 4]:
    
 
@@ -9906,10 +9918,10 @@ 
    Strategies
    
 
 
    
 
    
 
    Grouped dataset
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/unique-by (fn [m] (mod (:V2 m) 3)) {:strategy vec})
-    (tc/ungroup {:add-group-as-column :from-V1}))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/unique-by (fn [m] (mod (:V2 m) 3)) {:strategy vec})
+    (tc/ungroup {:add-group-as-column :from-V1}))
    
 
    _unnamed [6 5]:
    
 
@@ -9973,11 +9985,11 @@ 
    Missing
    When dataset contains missing values you can select or drop rows with missing values or replace them using some strategy.
    column-selector can be used to limit considered columns
    Let’s define dataset which contains missing values
    
-
    (def DSm (tc/dataset {:V1 (take 9 (cycle [1 2 nil]))
-                      :V2 (range 1 10)
-                      :V3 (take 9 (cycle [0.5 1.0 nil 1.5]))
-                      :V4 (take 9 (cycle ["A" "B" "C"]))}))
    
-
    DSm
    
+
    (def DSm (tc/dataset {:V1 (take 9 (cycle [1 2 nil]))
+                      :V2 (range 1 10)
+                      :V3 (take 9 (cycle [0.5 1.0 nil 1.5]))
+                      :V4 (take 9 (cycle ["A" "B" "C"]))}))
    
+
    DSm
    _unnamed [9 4]:
    
 
 
 
 
 
 
    
@@ -10048,7 +10060,7 @@ 
    Missing
    
 
    Select
    
 
    Select rows with missing values
    
-
    (tc/select-missing DSm)
    
+
    (tc/select-missing DSm)
    
 
    _unnamed [4 4]:
    
 
    
 
 
    
@@ -10088,7 +10100,7 @@ 
    Select
    
 
 
    
 
    
 
    Select rows with missing values in :V1
    
-
    (tc/select-missing DSm :V1)
    
+
    (tc/select-missing DSm :V1)
    
 
    _unnamed [3 4]:
    
 
@@ -10122,10 +10134,10 @@ 
    Select
    
 
 
    
 
    
 
    The same with grouped dataset
    
-
    (-> DSm
-    (tc/group-by :V4)
-    (tc/select-missing :V3)
-    (tc/ungroup))
    
+
    (-> DSm
+    (tc/group-by :V4)
+    (tc/select-missing :V3)
+    (tc/ungroup))
    
 
    _unnamed [2 4]:
    
 
@@ -10155,7 +10167,7 @@ 
    Select
    
 
    Drop
    
 
    Drop rows with missing values
    
-
    (tc/drop-missing DSm)
    
+
    (tc/drop-missing DSm)
    
 
    _unnamed [5 4]:
    
 
    
 
 
    
@@ -10201,7 +10213,7 @@ 
    Drop
    
 
 
    
 
    
 
    Drop rows with missing values in :V1
    
-
    (tc/drop-missing DSm :V1)
    
+
    (tc/drop-missing DSm :V1)
    
 
    _unnamed [6 4]:
    
 
@@ -10253,10 +10265,10 @@ 
    Drop
    
 
 
    
 
    
 
    The same with grouped dataset
    
-
    (-> DSm
-    (tc/group-by :V4)
-    (tc/drop-missing :V1)
-    (tc/ungroup))
    
+
    (-> DSm
+    (tc/group-by :V4)
+    (tc/drop-missing :V1)
+    (tc/ungroup))
    
 
    _unnamed [6 4]:
    
 
@@ -10314,10 +10326,13 @@ 
    Replace
  • dataset
  • column selector, default: :all
  • strategy, default: :nearest
    • 
-
  • value (optional)
    • 
+
  • value (optional)
+
      
 
    • single value
      • 
 
    • sequence of values (cycled)
      • 
 
    • function, applied on column(s) with stripped missings
      • 
+
    • map with [index,value] pairs
      • 
+
    • Strategies are:
      
@@ -10331,9 +10346,9 @@ 
      Replace
      
 
    • :lerp - trying to lineary approximate values, works for numbers and datetime, otherwise applies :nearest. For numbers always results in float datatype.
      • 
 
    Let’s define special dataset here:
    
-
    (def DSm2 (tc/dataset {:a [nil nil nil 1.0 2  nil nil nil nil  nil 4   nil  11 nil nil]
-                       :b [2   2   2 nil nil nil nil nil nil 13   nil   3  4  5 5]}))
    
-
    DSm2
    
+
    (def DSm2 (tc/dataset {:a [nil nil nil 1.0 2  nil nil nil nil  nil 4   nil  11 nil nil]
+                       :b [2   2   2 nil nil nil nil nil nil 13   nil   3  4  5 5]}))
    
+
    DSm2
    _unnamed [15 2]:
    
 
 
 
 
 
 
 
 
 
 
    
@@ -10407,7 +10422,7 @@ 
    Replace
    
 
 
    
 
    
 
    Replace missing with default strategy for all columns
    
-
    (tc/replace-missing DSm2)
    
+
    (tc/replace-missing DSm2)
    
 
    _unnamed [15 2]:
    
 
@@ -10481,7 +10496,7 @@ 
    Replace
    
 
 
    
 
    
 
    Replace missing with single value in whole dataset
    
-
    (tc/replace-missing DSm2 :all :value 999)
    
+
    (tc/replace-missing DSm2 :all :value 999)
    
 
    _unnamed [15 2]:
    
 
@@ -10555,7 +10570,7 @@ 
    Replace
    
 
 
    
 
    
 
    Replace missing with single value in :a column
    
-
    (tc/replace-missing DSm2 :a :value 999)
    
+
    (tc/replace-missing DSm2 :a :value 999)
    
 
    _unnamed [15 2]:
    
 
@@ -10629,7 +10644,7 @@ 
    Replace
    
 
 
    
 
    
 
    Replace missing with sequence in :a column
    
-
    (tc/replace-missing DSm2 :a :value [-999 -998 -997])
    
+
    (tc/replace-missing DSm2 :a :value [-999 -998 -997])
    
 
    _unnamed [15 2]:
    
 
@@ -10703,7 +10718,7 @@ 
    Replace
    
 
 
    
 
    
 
    Replace missing with a function (mean)
    
-
    (tc/replace-missing DSm2 :a :value tech.v3.datatype.functional/mean)
    
+
    (tc/replace-missing DSm2 :a :value tech.v3.datatype.functional/mean)
    
 
    _unnamed [15 2]:
    
 
@@ -10776,8 +10791,8 @@ 
    Replace
    
 
 
 
    
 
    
-
    Using :down strategy, fills gaps with values from above. You can see that if missings are at the beginning, the are filled with first value
    
-
    (tc/replace-missing DSm2 [:a :b] :downup)
    
+
    Replace missing some missing values with a map
    
+
    (tc/replace-missing DSm2 :a :value {0 100 1 -100 14 -1000})
    
 
    _unnamed [15 2]:
    
 
@@ -10788,51 +10803,51 @@ 
    Replace
    
-
+
-
+
-
+
-
+
-
+
-
-
+
+
-
-
+
+
-
-
+
+
-
-
+
+
-
+
-
+
-
+
@@ -10840,18 +10855,18 @@ 
    Replace
    
-
+
-
+
    
 
 
 
 
    1.0100.0
 2
 
    
 
    1.0-100.0
 2
 
    
 
    1.0
 2
 
    
 
    
 1.02
 
    
 
    
 2.02
 
    
 
    2.02
 
    
 
    2.02
 
    
 
    2.02
 
    
 
    2.02
 
    
 
    2.0
 13
 
    
 
    
 4.013
 
    
 
    4.0
 3
 
    
 
    
 4
 
    
 
    11.0
 5
 
    
 
    11.0-1000.0
 5
 
    
     
 
    
 
    
-
    To fix above issue you can provide value
    
-
    (tc/replace-missing DSm2 [:a :b] :down 999)
    
+
    Using :down strategy, fills gaps with values from above. You can see that if missings are at the beginning, the are filled with first value
    
+
    (tc/replace-missing DSm2 [:a :b] :downup)
    
 
    _unnamed [15 2]:
    
 
@@ -10862,15 +10877,15 @@ 
    Replace
    
-
+
-
+
-
+
@@ -10924,229 +10939,8 @@ 
    Replace
    
 
 
 
 
    999.01.0
 2
 
    
 
    999.01.0
 2
 
    
 
    999.01.0
 2
 
    
 
    
 
    
 
    
 
    
-
    The same applies for :up strategy which is opposite direction.
    
-
    (tc/replace-missing DSm2 [:a :b] :up)
    
-
    _unnamed [15 2]:
    
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
    :a:b
    1.02
    1.02
    1.02
    1.013
    2.013
    4.013
    4.013
    4.013
    4.013
    4.013
    4.03
    11.03
    11.04
    5
    5
    
-
    
-
    (tc/replace-missing DSm2 [:a :b] :updown)
    
-
    _unnamed [15 2]:
    
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
    :a:b
    1.02
    1.02
    1.02
    1.013
    2.013
    4.013
    4.013
    4.013
    4.013
    4.013
    4.03
    11.03
    11.04
    11.05
    11.05
    
-
    
-
    The same applies for :up strategy which is opposite direction.
    
-
    (tc/replace-missing DSm2 [:a :b] :midpoint)
    
-
    _unnamed [15 2]:
    
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
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-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
    :a:b
    1.02.0
    1.02.0
    1.02.0
    1.07.5
    2.07.5
    3.07.5
    3.07.5
    3.07.5
    3.07.5
    3.013.0
    4.08.0
    7.53.0
    11.04.0
    11.05.0
    11.05.0
    
-
    
-
    We can use a function which is applied after applying :up or :down
    
-
    (tc/replace-missing DSm2 [:a :b] :down tech.v3.datatype.functional/mean)
    
+
    To fix above issue you can provide value
    
+
    (tc/replace-missing DSm2 [:a :b] :down 999)
    
 
    _unnamed [15 2]:
    
 
@@ -11157,15 +10951,310 @@ 
    Replace
    
-
+
-
+
-
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
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+
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+
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+
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+
+
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+
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+
+
+
+
+
+
+
+
+
+
+
+
+
+
    
 
 
 
 
    4.5999.0
 2
 
    
 
    4.5999.0
 2
 
    
 
    4.5999.02
    1.02
    2.02
    2.02
    2.02
    2.02
    2.02
    2.013
    4.013
    4.03
    11.04
    11.05
    11.05
    
+
    
+
    The same applies for :up strategy which is opposite direction.
    
+
    (tc/replace-missing DSm2 [:a :b] :up)
    
+
    _unnamed [15 2]:
    
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
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+
+
    :a:b
    1.02
    1.02
    1.02
    1.013
    2.013
    4.013
    4.013
    4.013
    4.013
    4.013
    4.03
    11.03
    11.04
    5
    5
    
+
    
+
    (tc/replace-missing DSm2 [:a :b] :updown)
    
+
    _unnamed [15 2]:
    
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
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+
    :a:b
    1.02
    1.02
    1.02
    1.013
    2.013
    4.013
    4.013
    4.013
    4.013
    4.013
    4.03
    11.03
    11.04
    11.05
    11.05
    
+
    
+
    The same applies for :up strategy which is opposite direction.
    
+
    (tc/replace-missing DSm2 [:a :b] :midpoint)
    
+
    _unnamed [15 2]:
    
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    :a:b
    1.02.0
    1.02.0
    1.02.0
    1.07.5
    2.07.5
    3.07.5
    3.07.5
    3.07.5
    3.07.5
    3.013.0
    4.08.0
    7.53.0
    11.04.0
    11.05.0
    11.05.0
    
+
    
+
    We can use a function which is applied after applying :up or :down
    
+
    (tc/replace-missing DSm2 [:a :b] :down tech.v3.datatype.functional/mean)
    
+
    _unnamed [15 2]:
    
+
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+
@@ -11220,7 +11309,7 @@ 
    Replace
    :a:b
    4.52
    4.52
    4.5
 2
 
    
 
    
 
    
 
    
 
    Lerp tries to apply linear interpolation of the values
    
-
    (tc/replace-missing DSm2 [:a :b] :lerp)
    
+
    (tc/replace-missing DSm2 [:a :b] :lerp)
    
 
    _unnamed [15 2]:
    
 
@@ -11294,10 +11383,10 @@ 
    Replace
    
 
 
    
 
    
 
    Lerp works also on dates
    
-
    (-> (tc/dataset {:dt [(java.time.LocalDateTime/of 2020 1 1 11 22 33)
-                      nil nil nil nil nil nil nil
-                      (java.time.LocalDateTime/of 2020 10 1 1 1 1)]})
-    (tc/replace-missing :lerp))
    
+
    (-> (tc/dataset {:dt [(java.time.LocalDateTime/of 2020 1 1 11 22 33)
+                      nil nil nil nil nil nil nil
+                      (java.time.LocalDateTime/of 2020 10 1 1 1 1)]})
+    (tc/replace-missing :lerp))
    
 
    _unnamed [9 1]:
    
 
@@ -11347,9 +11436,9 @@ 
    Inject
  • (optional) missing-value - optional value for replace missing
    • 
-
    (-> (tc/dataset {:a [1 2 9]
-                 :b [:a :b :c]})
-    (tc/fill-range-replace :a 1))
    
+
    (-> (tc/dataset {:a [1 2 9]
+                 :b [:a :b :c]})
+    (tc/fill-range-replace :a 1))
    _unnamed [9 2]:
    
 
 
 
 
 
 
    
@@ -11424,7 +11513,7 @@ 
    Join
    Default usage. Create :joined column out of other columns.
    
-
    (tc/join-columns DSm :joined [:V1 :V2 :V4])
    
+
    (tc/join-columns DSm :joined [:V1 :V2 :V4])
    _unnamed [9 2]:
    
 
 
 
 
 
 
    
@@ -11474,7 +11563,7 @@ 
    Join
    
 
 
    
 
    
 
    Without dropping source columns.
    
-
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:drop-columns? false})
    
+
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:drop-columns? false})
    
 
    _unnamed [9 5]:
    
 
@@ -11554,7 +11643,7 @@ 
    Join
    
 
 
    
 
    
 
    Let’s replace missing value with “NA” string.
    
-
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:missing-subst "NA"})
    
+
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:missing-subst "NA"})
    
 
    _unnamed [9 2]:
    
 
@@ -11604,8 +11693,8 @@ 
    Join
    
 
 
    
 
    
 
    We can use custom separator.
    
-
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:separator "/"
-                                            :missing-subst "."})
    
+
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:separator "/"
+                                            :missing-subst "."})
    
 
    _unnamed [9 2]:
    
 
@@ -11655,8 +11744,8 @@ 
    Join
    
 
 
    
 
    
 
    Or even sequence of separators.
    
-
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:separator ["-" "/"]
-                                            :missing-subst "."})
    
+
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:separator ["-" "/"]
+                                            :missing-subst "."})
    
 
    _unnamed [9 2]:
    
 
@@ -11706,7 +11795,7 @@ 
    Join
    
 
 
    
 
    
 
    The other types of results, map:
    
-
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type :map})
    
+
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type :map})
    
 
    _unnamed [9 2]:
    
 
@@ -11756,7 +11845,7 @@ 
    Join
    
 
 
    
 
    
 
    Sequence
    
-
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type :seq})
    
+
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type :seq})
    
 
    _unnamed [9 2]:
    
 
@@ -11806,7 +11895,7 @@ 
    Join
    
 
 
    
 
    
 
    Custom function, calculate hash
    
-
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type hash})
    
+
    (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type hash})
    
 
    _unnamed [9 2]:
    
 
@@ -11856,10 +11945,10 @@ 
    Join
    
 
 
    
 
    
 
    Grouped dataset
    
-
    (-> DSm
-    (tc/group-by :V4)
-    (tc/join-columns :joined [:V1 :V2 :V4])
-    (tc/ungroup))
    
+
    (-> DSm
+    (tc/group-by :V4)
+    (tc/join-columns :joined [:V1 :V2 :V4])
+    (tc/ungroup))
    
 
    _unnamed [9 2]:
    
 
@@ -11911,10 +12000,10 @@ 
    Join
    
 
    Tidyr examples
    
 
    source
    
-
    (def df (tc/dataset {:x ["a" "a" nil nil]
-                      :y ["b" nil "b" nil]}))
    
+
    (def df (tc/dataset {:x ["a" "a" nil nil]
+                      :y ["b" nil "b" nil]}))
    
 
    #'user/df
    
-
    df
    
+
    df
    
 
    _unnamed [4 2]:
    
 
    
 
 
    
@@ -11943,9 +12032,9 @@ 
    Tidyr examples
    
 
 
 
    
 
    
-
    (tc/join-columns df "z" [:x :y] {:drop-columns? false
-                                  :missing-subst "NA"
-                                  :separator "_"})
    
+
    (tc/join-columns df "z" [:x :y] {:drop-columns? false
+                                  :missing-subst "NA"
+                                  :separator "_"})
    
 
    _unnamed [4 3]:
    
 
@@ -11979,8 +12068,8 @@ 
    Tidyr examples
    
 
 
 
    
 
    
-
    (tc/join-columns df "z" [:x :y] {:drop-columns? false
-                                  :separator "_"})
    
+
    (tc/join-columns df "z" [:x :y] {:drop-columns? false
+                                  :separator "_"})
    
 
    _unnamed [4 3]:
    
 
@@ -12037,9 +12126,9 @@ 
    Separate
    Custom function (as separator) should return seqence of values for given value or a sequence of map.
    Separate float into integer and factional values
    
-
    (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
-                                                     [(int (quot v 1.0))
-                                                      (mod v 1.0)]))
    
+
    (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
+                                                     [(int (quot v 1.0))
+                                                      (mod v 1.0)]))
    _unnamed [9 5]:
    
 
 
 
 
 
 
    
@@ -12119,9 +12208,9 @@ 
    Separate
    
 
 
    
 
    
 
    Source column can be kept
    
-
    (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
-                                                     [(int (quot v 1.0))
-                                                      (mod v 1.0)]) {:drop-column? false})
    
+
    (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
+                                                     [(int (quot v 1.0))
+                                                      (mod v 1.0)]) {:drop-column? false})
    
 
    _unnamed [9 6]:
    
 
@@ -12211,9 +12300,9 @@ 
    Separate
    
 
 
    
 
    
 
    We can treat 0 or 0.0 as missing value
    
-
    (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
-                                                     [(int (quot v 1.0))
-                                                      (mod v 1.0)]) {:missing-subst [0 0.0]})
    
+
    (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
+                                                     [(int (quot v 1.0))
+                                                      (mod v 1.0)]) {:missing-subst [0 0.0]})
    
 
    _unnamed [9 5]:
    
 
@@ -12293,12 +12382,12 @@ 
    Separate
    
 
 
    
 
    
 
    Works on grouped dataset
    
-
    (-> DS
-    (tc/group-by :V4)
-    (tc/separate-column :V3 [:int-part :fract-part] (fn [^double v]
-                                                       [(int (quot v 1.0))
-                                                        (mod v 1.0)]))
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V4)
+    (tc/separate-column :V3 [:int-part :fract-part] (fn [^double v]
+                                                       [(int (quot v 1.0))
+                                                        (mod v 1.0)]))
+    (tc/ungroup))
    
 
    _unnamed [9 5]:
    
 
@@ -12378,9 +12467,9 @@ 
    Separate
    
 
 
    
 
    
 
    Separate using separator returning sequence of maps.
    
-
    (tc/separate-column DS :V3 (fn [^double v]
-                              {:int-part (int (quot v 1.0))
-                               :fract-part (mod v 1.0)}))
    
+
    (tc/separate-column DS :V3 (fn [^double v]
+                              {:int-part (int (quot v 1.0))
+                               :fract-part (mod v 1.0)}))
    
 
    _unnamed [9 5]:
    
 
@@ -12459,9 +12548,9 @@ 
    Separate
    
 
 
 
    
 
    Keeping all columns
    
-
    (tc/separate-column DS :V3 nil (fn [^double v]
-                                  {:int-part (int (quot v 1.0))
-                                   :fract-part (mod v 1.0)}) {:drop-column? false})
    
+
    (tc/separate-column DS :V3 nil (fn [^double v]
+                                  {:int-part (int (quot v 1.0))
+                                   :fract-part (mod v 1.0)}) {:drop-column? false})
    
 
    _unnamed [9 6]:
    
 
@@ -12550,9 +12639,9 @@ 
    Separate
    
 
 
 
    
 
    Droping all colums but separated
    
-
    (tc/separate-column DS :V3 nil (fn [^double v]
-                                 {:int-part (int (quot v 1.0))
-                                  :fract-part (mod v 1.0)}) {:drop-column? :all})
    
+
    (tc/separate-column DS :V3 nil (fn [^double v]
+                                 {:int-part (int (quot v 1.0))
+                                  :fract-part (mod v 1.0)}) {:drop-column? :all})
    
 
    _unnamed [9 2]:
    
 
@@ -12601,8 +12690,8 @@ 
    Separate
    
 
 
 
    
 
    Infering column names
    
-
    (tc/separate-column DS :V3 (fn [^double v]
-                             [(int (quot v 1.0)) (mod v 1.0)]))
    
+
    (tc/separate-column DS :V3 (fn [^double v]
+                             [(int (quot v 1.0)) (mod v 1.0)]))
    
 
    _unnamed [9 5]:
    
 
@@ -12682,9 +12771,9 @@ 
    Separate
    
 
 
    
 
    
 
    Join and separate together.
    
-
    (-> DSm
-    (tc/join-columns :joined [:V1 :V2 :V4] {:result-type :map})
-    (tc/separate-column :joined [:v1 :v2 :v4] (juxt :V1 :V2 :V4)))
    
+
    (-> DSm
+    (tc/join-columns :joined [:V1 :V2 :V4] {:result-type :map})
+    (tc/separate-column :joined [:v1 :v2 :v4] (juxt :V1 :V2 :V4)))
    
 
    _unnamed [9 4]:
    
 
@@ -12752,9 +12841,9 @@ 
    Separate
    
 
 
 
 
    
-
    (-> DSm
-    (tc/join-columns :joined [:V1 :V2 :V4] {:result-type :seq})
-    (tc/separate-column :joined [:v1 :v2 :v4] identity))
    
+
    (-> DSm
+    (tc/join-columns :joined [:V1 :V2 :V4] {:result-type :seq})
+    (tc/separate-column :joined [:v1 :v2 :v4] identity))
    
 
    _unnamed [9 4]:
    
 
@@ -12825,15 +12914,15 @@ 
    Separate
    
 
    Tidyr examples
    
 
    separate source extract source
    
-
    (def df-separate (tc/dataset {:x [nil "a.b" "a.d" "b.c"]}))
-(def df-separate2 (tc/dataset {:x ["a" "a b" nil "a b c"]}))
-(def df-separate3 (tc/dataset {:x ["a?b" nil "a.b" "b:c"]}))
-(def df-extract (tc/dataset {:x [nil "a-b" "a-d" "b-c" "d-e"]}))
    
+
    (def df-separate (tc/dataset {:x [nil "a.b" "a.d" "b.c"]}))
+(def df-separate2 (tc/dataset {:x ["a" "a b" nil "a b c"]}))
+(def df-separate3 (tc/dataset {:x ["a?b" nil "a.b" "b:c"]}))
+(def df-extract (tc/dataset {:x [nil "a-b" "a-d" "b-c" "d-e"]}))
    
 
    #'user/df-separate
 #'user/df-separate2
 #'user/df-separate3
 #'user/df-extract
    
-
    df-separate
    
+
    df-separate
    
 
    _unnamed [4 1]:
    
 
    
 
 
    
@@ -12856,7 +12945,7 @@ 
    Tidyr examples
    
 
 
 
 
    
-
    df-separate2
    
+
    df-separate2
    
 
    _unnamed [4 1]:
    
 
@@ -12879,7 +12968,7 @@ 
    Tidyr examples
    
 
 
 
 
    
-
    df-separate3
    
+
    df-separate3
    
 
    _unnamed [4 1]:
    
 
@@ -12902,7 +12991,7 @@ 
    Tidyr examples
    
 
 
 
 
    
-
    df-extract
    
+
    df-extract
    
 
    _unnamed [5 1]:
    
 
@@ -12929,7 +13018,7 @@ 
    Tidyr examples
    
 
 
 
    
 
    
-
    (tc/separate-column df-separate :x [:A :B] "\\.")
    
+
    (tc/separate-column df-separate :x [:A :B] "\\.")
    
 
    _unnamed [4 2]:
    
 
@@ -12959,7 +13048,7 @@ 
    Tidyr examples
    
 
 
    
 
    
 
    You can drop columns after separation by setting nil as a name. We need second value here.
    
-
    (tc/separate-column df-separate :x [nil :B] "\\.")
    
+
    (tc/separate-column df-separate :x [nil :B] "\\.")
    
 
    _unnamed [4 1]:
    
 
@@ -12984,7 +13073,7 @@ 
    Tidyr examples
    
 
 
    
 
    
 
    Extra data is dropped
    
-
    (tc/separate-column df-separate2 :x ["a" "b"] " ")
    
+
    (tc/separate-column df-separate2 :x ["a" "b"] " ")
    
 
    _unnamed [4 2]:
    
 
@@ -13014,7 +13103,7 @@ 
    Tidyr examples
    
 
 
    
 
    
 
    Split with regular expression
    
-
    (tc/separate-column df-separate3 :x ["a" "b"] "[?\\.:]")
    
+
    (tc/separate-column df-separate3 :x ["a" "b"] "[?\\.:]")
    
 
    _unnamed [4 2]:
    
 
@@ -13044,7 +13133,7 @@ 
    Tidyr examples
    
 
 
    
 
    
 
    Or just regular expression to extract values
    
-
    (tc/separate-column df-separate3 :x ["a" "b"] #"(.).(.)")
    
+
    (tc/separate-column df-separate3 :x ["a" "b"] #"(.).(.)")
    
 
    _unnamed [4 2]:
    
 
@@ -13074,7 +13163,7 @@ 
    Tidyr examples
    
 
 
    
 
    
 
    Extract first value only
    
-
    (tc/separate-column df-extract :x ["A"] "-")
    
+
    (tc/separate-column df-extract :x ["A"] "-")
    
 
    _unnamed [5 1]:
    
 
@@ -13102,7 +13191,7 @@ 
    Tidyr examples
    
 
 
    
 
    
 
    Split with regex
    
-
    (tc/separate-column df-extract :x ["A" "B"] #"(\p{Alnum})-(\p{Alnum})")
    
+
    (tc/separate-column df-extract :x ["A" "B"] #"(\p{Alnum})-(\p{Alnum})")
    
 
    _unnamed [5 2]:
    
 
@@ -13136,7 +13225,7 @@ 
    Tidyr examples
    
 
 
    
 
    
 
    Only a,b,c,d strings
    
-
    (tc/separate-column df-extract :x ["A" "B"] #"([a-d]+)-([a-d]+)")
    
+
    (tc/separate-column df-extract :x ["A" "B"] #"([a-d]+)-([a-d]+)")
    
 
    _unnamed [5 2]:
    
 
@@ -13173,10 +13262,10 @@ 
    Tidyr examples
    
 
    Array column conversion
    
 
    A dataset can have as well columns of type java array. We can convert from normal columns to a single array column and back like this:
    
-
    (-> (tc/dataset {:x [(double-array [1 2 3])
-                     (double-array [4 5 6])]
-                 :y [:a :b]})
-    (tc/array-column->columns :x))
    
+
    (-> (tc/dataset {:x [(double-array [1 2 3])
+                     (double-array [4 5 6])]
+                 :y [:a :b]})
+    (tc/array-column->columns :x))
    
 
    _unnamed [2 4]:
 
 | :y |   0 |   1 |   2 |
@@ -13184,17 +13273,17 @@ 
    Array column conversion
    
 | :a | 1.0 | 2.0 | 3.0 |
 | :b | 4.0 | 5.0 | 6.0 |
    
 
    and the other way around:
    
-
    (-> (tc/dataset {0 [0.0 1 2]
-                 1 [3.0 4 5]
-                 :x [:a :b :c]})
-    (tc/columns->array-column [0 1] :y))
    
+
    (-> (tc/dataset {0 [0.0 1 2]
+                 1 [3.0 4 5]
+                 :x [:a :b :c]})
+    (tc/columns->array-column [0 1] :y))
    
 
    _unnamed [3 2]:
 
 | :x |          :y |
 |----|-------------|
-| :a | [D@33227c31 |
-| :b | [D@25349736 |
-| :c | [D@76b896de |
    
+| :a |  [D@22382f2 |
+| :b | [D@3793a2c0 |
+| :c | [D@41e09a22 |
 
    
@@ -13204,7 +13293,7 @@ 
    Fold/Unroll Rows
    
 
    
 
    Fold-by
    
 
    Group-by and pack columns into vector
    
-
    (tc/fold-by DS [:V3 :V4 :V1])
    
+
    (tc/fold-by DS [:V3 :V4 :V1])
    
 
    _unnamed [6 4]:
    
 
    
 
 
 
 
    
@@ -13256,7 +13345,7 @@ 
    Fold-by
    
 
 
    
 
    
 
    You can pack several columns at once.
    
-
    (tc/fold-by DS [:V4])
    
+
    (tc/fold-by DS [:V4])
    
 
    _unnamed [3 4]:
    
 
@@ -13290,7 +13379,7 @@ 
    Fold-by
    
 
 
    
 
    
 
    You can use custom packing function
    
-
    (tc/fold-by DS [:V4] seq)
    
+
    (tc/fold-by DS [:V4] seq)
    
 
    _unnamed [3 4]:
    
 
@@ -13323,7 +13412,7 @@ 
    Fold-by
    
 
 
 
    
 
    or
    
-
    (tc/fold-by DS [:V4] set)
    
+
    (tc/fold-by DS [:V4] set)
    
 
    _unnamed [3 4]:
    
 
@@ -13357,10 +13446,10 @@ 
    Fold-by
    
 
 
    
 
    
 
    This works also on grouped dataset
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/fold-by :V4)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/fold-by :V4)
+    (tc/ungroup))
    
 
    _unnamed [6 4]:
    
 
@@ -13421,7 +13510,7 @@ 
    Unroll
    Unroll one column
    
-
    (tc/unroll (tc/fold-by DS [:V4]) [:V1])
    
+
    (tc/unroll (tc/fold-by DS [:V4]) [:V1])
    _unnamed [9 4]:
    
 
 
 
 
 
 
    
@@ -13491,7 +13580,7 @@ 
    Unroll
    
 
 
    
 
    
 
    Unroll all folded columns
    
-
    (tc/unroll (tc/fold-by DS [:V4]) [:V1 :V2 :V3])
    
+
    (tc/unroll (tc/fold-by DS [:V4]) [:V1 :V2 :V3])
    
 
    _unnamed [9 4]:
    
 
@@ -13561,10 +13650,10 @@ 
    Unroll
    
 
 
    
 
    
 
    Unroll one by one leads to cartesian product
    
-
    (-> DS
-    (tc/fold-by [:V4 :V1])
-    (tc/unroll [:V2])
-    (tc/unroll [:V3]))
    
+
    (-> DS
+    (tc/fold-by [:V4 :V1])
+    (tc/unroll [:V2])
+    (tc/unroll [:V3]))
    
 
    _unnamed [15 4]:
    
 
@@ -13670,7 +13759,7 @@ 
    Unroll
    
 
 
    
 
    
 
    You can add indexes
    
-
    (tc/unroll (tc/fold-by DS [:V1]) [:V4 :V2 :V3] {:indexes? true})
    
+
    (tc/unroll (tc/fold-by DS [:V1]) [:V4 :V2 :V3] {:indexes? true})
    
 
    _unnamed [9 5]:
    
 
@@ -13748,7 +13837,7 @@ 
    Unroll
    
 
 
 
 
    
-
    (tc/unroll (tc/fold-by DS [:V1]) [:V4 :V2 :V3] {:indexes? "vector idx"})
    
+
    (tc/unroll (tc/fold-by DS [:V1]) [:V4 :V2 :V3] {:indexes? "vector idx"})
    
 
    _unnamed [9 5]:
    
 
@@ -13828,12 +13917,12 @@ 
    Unroll
    
 
 
    
 
    
 
    You can also force datatypes
    
-
    (-> DS
-    (tc/fold-by [:V1])
-    (tc/unroll [:V4 :V2 :V3] {:datatypes {:V4 :string
-                                           :V2 :int16
-                                           :V3 :float32}})
-    (tc/info :columns))
    
+
    (-> DS
+    (tc/fold-by [:V1])
+    (tc/unroll [:V4 :V2 :V3] {:datatypes {:V4 :string
+                                           :V2 :int16
+                                           :V3 :float32}})
+    (tc/info :columns))
    
 
    _unnamed :column info [4 4]:
    
 
@@ -13873,11 +13962,11 @@ 
    Unroll
    
 
 
    
 
    
 
    This works also on grouped dataset
    
-
    (-> DS
-    (tc/group-by :V1)
-    (tc/fold-by [:V1 :V4])
-    (tc/unroll :V3 {:indexes? true})
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V1)
+    (tc/fold-by [:V1 :V4])
+    (tc/unroll :V3 {:indexes? true})
+    (tc/ungroup))
    
 
    _unnamed [9 5]:
    
 
@@ -13992,8 +14081,8 @@ 
    Longer
    Create rows from all columns but "religion".
    
-
    (def relig-income (tc/dataset "data/relig_income.csv"))
    
-
    relig-income
    
+
    (def relig-income (tc/dataset "data/relig_income.csv"))
    
+
    relig-income
    data/relig_income.csv [18 11]:
    
 
 
 
 
 
 
    @@ -14261,7 +14350,7 @@ 
    Longer
    
 

 
 
 
    
-
    (tc/pivot->longer relig-income (complement #{"religion"}))
    
+
    (tc/pivot->longer relig-income (complement #{"religion"}))
    
 
    data/relig_income.csv [180 3]:
    
 
@@ -14386,12 +14475,12 @@ 
    Longer
    
 
 
    
 
    
 
    Convert only columns starting with "wk" and pack them into :week column, values go to :rank column
    
-
    (def bilboard (-> (tc/dataset "data/billboard.csv.gz")
-                  (tc/drop-columns :type/boolean))) ;; drop some boolean columns, tidyr just skips them
    
-
    (->> bilboard
-     (tc/column-names)
-     (take 13)
-     (tc/select-columns bilboard))
    
+
    (def bilboard (-> (tc/dataset "data/billboard.csv.gz")
+                  (tc/drop-columns :type/boolean))) ;; drop some boolean columns, tidyr just skips them
    
+
    (->> bilboard
+     (tc/column-names)
+     (take 13)
+     (tc/select-columns bilboard))
    
 
    data/billboard.csv.gz [317 13]:
    
 
@@ -14744,8 +14833,8 @@ 
    Longer
    
 
 
 
 
    
-
    (tc/pivot->longer bilboard #(clojure.string/starts-with? % "wk") {:target-columns :week
-                                                                   :value-column-name :rank})
    
+
    (tc/pivot->longer bilboard #(clojure.string/starts-with? % "wk") {:target-columns :week
+                                                                   :value-column-name :rank})
    
 
    data/billboard.csv.gz [5307 5]:
    
 
@@ -14916,10 +15005,10 @@ 
    Longer
    
 
 
    
 
    
 
    We can create numerical column out of column names
    
-
    (tc/pivot->longer bilboard #(clojure.string/starts-with? % "wk") {:target-columns :week
-                                                                   :value-column-name :rank
-                                                                   :splitter #"wk(.*)"
-                                                                   :datatypes {:week :int16}})
    
+
    (tc/pivot->longer bilboard #(clojure.string/starts-with? % "wk") {:target-columns :week
+                                                                   :value-column-name :rank
+                                                                   :splitter #"wk(.*)"
+                                                                   :datatypes {:week :int16}})
    
 
    data/billboard.csv.gz [5307 5]:
    
 
@@ -15090,11 +15179,11 @@ 
    Longer
    
 
 
    
 
    
 
    When column names contain observation data, such column names can be splitted and data can be restored into separate columns.
    
-
    (def who (tc/dataset "data/who.csv.gz"))
    
-
    (->> who
-     (tc/column-names)
-     (take 10)
-     (tc/select-columns who))
    
+
    (def who (tc/dataset "data/who.csv.gz"))
    
+
    (->> who
+     (tc/column-names)
+     (take 10)
+     (tc/select-columns who))
    
 
    data/who.csv.gz [7240 10]:
    
 @@ -15390,9 +15479,9 @@ 
    Longer
    
 

 
 
 
    
-
    (tc/pivot->longer who #(clojure.string/starts-with? % "new") {:target-columns [:diagnosis :gender :age]
-                                                               :splitter #"new_?(.*)_(.)(.*)"
-                                                               :value-column-name :count})
    
+
    (tc/pivot->longer who #(clojure.string/starts-with? % "new") {:target-columns [:diagnosis :gender :age]
+                                                               :splitter #"new_?(.*)_(.)(.*)"
+                                                               :value-column-name :count})
    
 
    data/who.csv.gz [76046 8]:
    
 @@ -15642,8 +15731,8 @@ 
    Longer
    
 

 
    
 
    
 
    When data contains multiple observations per row, we can use splitter and pattern for target columns to create new columns and put values there. In following dataset we have two obseravations dob and gender for two childs. We want to put child infomation into the column and leave dob and gender for values.
    
-
    (def family (tc/dataset "data/family.csv"))
    
-
    family
    
+
    (def family (tc/dataset "data/family.csv"))
    
+
    family
    
 
    data/family.csv [5 5]:
    
 
@@ -15693,9 +15782,9 @@ 
    Longer
    
 
 
 
 
    
-
    (tc/pivot->longer family (complement #{"family"}) {:target-columns [nil :child]
-                                                    :splitter "_"
-                                                    :datatypes {"gender" :int16}})
    
+
    (tc/pivot->longer family (complement #{"family"}) {:target-columns [nil :child]
+                                                    :splitter "_"
+                                                    :datatypes {"gender" :int16}})
    
 
    data/family.csv [9 4]:
    
 
@@ -15765,8 +15854,8 @@ 
    Longer
    
 
 
    
 
    
 
    Similar here, we have two observations: x and y in four groups.
    
-
    (def anscombe (tc/dataset "data/anscombe.csv"))
    
-
    anscombe
    
+
    (def anscombe (tc/dataset "data/anscombe.csv"))
    
+
    anscombe
    
 
    data/anscombe.csv [11 8]:
    
 
@@ -15894,8 +15983,8 @@ 
    Longer
    
 
 
 
 
    
-
    (tc/pivot->longer anscombe :all {:splitter #"(.)(.)"
-                                  :target-columns [nil :set]})
    
+
    (tc/pivot->longer anscombe :all {:splitter #"(.)(.)"
+                                  :target-columns [nil :set]})
    
 
    data/anscombe.csv [44 3]:
    
 
@@ -16019,14 +16108,14 @@ 
    Longer
    
 
 
 
    
 
    
-
    (def pnl (tc/dataset {:x [1 2 3 4]
-                       :a [1 1 0 0]
-                       :b [0 1 1 1]
-                       :y1 (repeatedly 4 rand)
-                       :y2 (repeatedly 4 rand)
-                       :z1 [3 3 3 3]
-                       :z2 [-2 -2 -2 -2]}))
    
-
    pnl
    
+
    (def pnl (tc/dataset {:x [1 2 3 4]
+                       :a [1 1 0 0]
+                       :b [0 1 1 1]
+                       :y1 (repeatedly 4 rand)
+                       :y2 (repeatedly 4 rand)
+                       :z1 [3 3 3 3]
+                       :z2 [-2 -2 -2 -2]}))
    
+
    pnl
    
 
    _unnamed [4 7]:
    
 
@@ -16045,8 +16134,8 @@ 
    Longer
    
-
-
+
+
@@ -16054,8 +16143,8 @@ 
    Longer
    
-
-
+
+
@@ -16063,8 +16152,8 @@ 
    Longer
    
-
-
+
+
@@ -16072,15 +16161,15 @@ 
    Longer
    
-
-
+
+
    
 
 
    1
 1
 00.385563010.995254170.172073110.45363443
 3
 -2
 
    
 
    2
 1
 10.264293640.396360430.340966010.29022308
 3
 -2
 
    
 
    3
 0
 10.888660670.014583030.379160570.14057607
 3
 -2
 
    
 
    4
 0
 10.927075650.895537510.650780110.84848384
 3
 -2
 
    
 
 
    
-
    (tc/pivot->longer pnl [:y1 :y2 :z1 :z2] {:target-columns [nil :times]
-                                          :splitter #":(.)(.)"})
    
+
    (tc/pivot->longer pnl [:y1 :y2 :z1 :z2] {:target-columns [nil :times]
+                                          :splitter #":(.)(.)"})
    
 
    _unnamed [8 6]:
    
 
@@ -16099,7 +16188,7 @@ 
    Longer
    
-
+
@@ -16107,7 +16196,7 @@ 
    Longer
    
-
+
@@ -16115,7 +16204,7 @@ 
    Longer
    
-
+
@@ -16123,7 +16212,7 @@ 
    Longer
    
-
+
@@ -16131,7 +16220,7 @@ 
    Longer
    
-
+
@@ -16139,7 +16228,7 @@ 
    Longer
    
-
+
@@ -16147,7 +16236,7 @@ 
    Longer
    
-
+
@@ -16155,7 +16244,7 @@ 
    Longer
    
-
+
@@ -16175,8 +16264,8 @@ 
    Wider
    When value-columns is a sequence, multiple observations as columns are created appending value column names into new columns. Column names are joined using :concat-value-with option. :concat-value-with can be a string or function (default: “-”). Function accepts current column name and value.
    Use station as a name source for columns and seen for values
    
-
    (def fish (tc/dataset "data/fish_encounters.csv"))
    
-
    fish
    
+
    (def fish (tc/dataset "data/fish_encounters.csv"))
    
+
    fish
    data/fish_encounters.csv [114 3]:
    
 
 
    1
 0
 10.385563010.17207311
 3
 
    
 
    
 1
 1
 10.264293640.34096601
 3
 
    
 
    
 0
 1
 10.888660670.37916057
 3
 
    
 
    
 0
 1
 10.927075650.65078011
 3
 
    
 
    
 1
 0
 20.995254170.45363443
 -2
 
    
 
    
 1
 1
 20.396360430.29022308
 -2
 
    
 
    
 0
 1
 20.014583030.14057607
 -2
 
    
 
    
 0
 1
 20.895537510.84848384
 -2
 
    
 
 
 
 
 
 
    
@@ -16299,7 +16388,7 @@ 
    Wider
    
 
 
 
 
    
-
    (tc/pivot->wider fish "station" "seen" {:drop-missing? false})
    
+
    (tc/pivot->wider fish "station" "seen" {:drop-missing? false})
    
 
    data/fish_encounters.csv [19 12]:
    
 
@@ -16589,8 +16678,8 @@ 
    Wider
    
 
 
    
 
    
 
    If selected columns contain multiple values, such values should be folded.
    
-
    (def warpbreaks (tc/dataset "data/warpbreaks.csv"))
    
-
    warpbreaks
    
+
    (def warpbreaks (tc/dataset "data/warpbreaks.csv"))
    
+
    warpbreaks
    
 
    data/warpbreaks.csv [54 3]:
    
 
@@ -16714,9 +16803,9 @@ 
    Wider
    
 
 
 
    
 
    Let’s see how many values are for each type of wool and tension groups
    
-
    (-> warpbreaks
-    (tc/group-by ["wool" "tension"])
-    (tc/aggregate {:n tc/row-count}))
    
+
    (-> warpbreaks
+    (tc/group-by ["wool" "tension"])
+    (tc/aggregate {:n tc/row-count}))
    
 
    _unnamed [6 3]:
    
 
@@ -16759,9 +16848,9 @@ 
    Wider
    
 
 
 
 
    
-
    (-> warpbreaks
-    (tc/reorder-columns ["wool" "tension" "breaks"])
-    (tc/pivot->wider "wool" "breaks" {:fold-fn vec}))
    
+
    (-> warpbreaks
+    (tc/reorder-columns ["wool" "tension" "breaks"])
+    (tc/pivot->wider "wool" "breaks" {:fold-fn vec}))
    
 
    data/warpbreaks.csv [3 3]:
    
 
@@ -16790,9 +16879,9 @@ 
    Wider
    
 
 
 
    
 
    We can also calculate mean (aggreate values)
    
-
    (-> warpbreaks
-    (tc/reorder-columns ["wool" "tension" "breaks"])
-    (tc/pivot->wider "wool" "breaks" {:fold-fn tech.v3.datatype.functional/mean}))
    
+
    (-> warpbreaks
+    (tc/reorder-columns ["wool" "tension" "breaks"])
+    (tc/pivot->wider "wool" "breaks" {:fold-fn tech.v3.datatype.functional/mean}))
    
 
    data/warpbreaks.csv [3 3]:
    
 
@@ -16822,8 +16911,8 @@ 
    Wider
    
 
 
    
 
    
 
    Multiple source columns, joined with default separator.
    
-
    (def production (tc/dataset "data/production.csv"))
    
-
    production
    
+
    (def production (tc/dataset "data/production.csv"))
    
+
    production
    
 
    data/production.csv [45 4]:
    
 
@@ -16969,7 +17058,7 @@ 
    Wider
    
 
 
 
 
    
-
    (tc/pivot->wider production ["product" "country"] "production")
    
+
    (tc/pivot->wider production ["product" "country"] "production")
    
 
    data/production.csv [15 4]:
    
 
@@ -17074,7 +17163,7 @@ 
    Wider
    
 
 
 
    
 
    Joined with custom function
    
-
    (tc/pivot->wider production ["product" "country"] "production" {:concat-columns-with vec})
    
+
    (tc/pivot->wider production ["product" "country"] "production" {:concat-columns-with vec})
    
 
    data/production.csv [15 4]:
    
 
@@ -17180,8 +17269,8 @@ 
    Wider
    
 
 
    
 
    
 
    Multiple value columns
    
-
    (def income (tc/dataset "data/us_rent_income.csv"))
    
-
    income
    
+
    (def income (tc/dataset "data/us_rent_income.csv"))
    
+
    income
    
 
    data/us_rent_income.csv [104 5]:
    
 
@@ -17350,7 +17439,7 @@ 
    Wider
    
 
 
 
 
    
-
    (tc/pivot->wider income "variable" ["estimate" "moe"] {:drop-missing? false})
    
+
    (tc/pivot->wider income "variable" ["estimate" "moe"] {:drop-missing? false})
    
 
    data/us_rent_income.csv [52 6]:
    
 
@@ -17543,9 +17632,9 @@ 
    Wider
    
 
 
 
    
 
    Value concatenated by custom function
    
-
    (tc/pivot->wider income "variable" ["estimate" "moe"] {:concat-columns-with vec
-                                                        :concat-value-with vector
-                                                        :drop-missing? false})
    
+
    (tc/pivot->wider income "variable" ["estimate" "moe"] {:concat-columns-with vec
+                                                        :concat-value-with vector
+                                                        :drop-missing? false})
    
 
    data/us_rent_income.csv [52 6]:
    
 @@ -17747,8 +17836,8 @@ 
    Wider
    
 

 
    
 
    
 
    Reshape contact data
    
-
    (def contacts (tc/dataset "data/contacts.csv"))
    
-
    contacts
    
+
    (def contacts (tc/dataset "data/contacts.csv"))
    
+
    contacts
    
 
    data/contacts.csv [6 3]:
    
 
@@ -17791,7 +17880,7 @@ 
    Wider
    
 
 
 
 
    
-
    (tc/pivot->wider contacts "field" "value" {:drop-missing? false})
    
+
    (tc/pivot->wider contacts "field" "value" {:drop-missing? false})
    
 
    data/contacts.csv [3 4]:
    
 
@@ -17829,11 +17918,11 @@ 
    Reshaping
    A couple of tidyr examples of more complex reshaping.
    World bank
    
-
    (def world-bank-pop (tc/dataset "data/world_bank_pop.csv.gz"))
    
-
    (->> world-bank-pop
-     (tc/column-names)
-     (take 8)
-     (tc/select-columns world-bank-pop))
    
+
    (def world-bank-pop (tc/dataset "data/world_bank_pop.csv.gz"))
    
+
    (->> world-bank-pop
+     (tc/column-names)
+     (take 8)
+     (tc/select-columns world-bank-pop))
    data/world_bank_pop.csv.gz [1056 8]:
    
 
 
 
 
 
 
    @@ -18082,10 +18171,10 @@ 
    Reshaping
    
 

 
 
    
 
    Step 1 - convert years column into values
    
-
    (def pop2 (tc/pivot->longer world-bank-pop (map str (range 2000 2018)) {:drop-missing? false
-                                                                         :target-columns ["year"]
-                                                                         :value-column-name "value"}))
    
-
    pop2
    
+
    (def pop2 (tc/pivot->longer world-bank-pop (map str (range 2000 2018)) {:drop-missing? false
+                                                                         :target-columns ["year"]
+                                                                         :value-column-name "value"}))
    
+
    pop2
    
 
    data/world_bank_pop.csv.gz [19008 4]:
    
 
@@ -18232,10 +18321,10 @@ 
    Reshaping
    
 
 
 
    
 
    Step 2 - separate "indicate" column
    
-
    (def pop3 (tc/separate-column pop2
-                               "indicator" ["area" "variable"]
-                               #(rest (clojure.string/split % #"\."))))
    
-
    pop3
    
+
    (def pop3 (tc/separate-column pop2
+                               "indicator" ["area" "variable"]
+                               #(rest (clojure.string/split % #"\."))))
    
+
    pop3
    
 
    data/world_bank_pop.csv.gz [19008 5]:
    
 
@@ -18405,7 +18494,7 @@ 
    Reshaping
    
 
 
 
    
 
    Step 3 - Make columns based on "variable" values.
    
-
    (tc/pivot->wider pop3 "variable" "value" {:drop-missing? false})
    
+
    (tc/pivot->wider pop3 "variable" "value" {:drop-missing? false})
    
 
    data/world_bank_pop.csv.gz [9504 5]:
    
 
@@ -18577,11 +18666,11 @@ 
    Reshaping
    Multi-choice
    
-
    (def multi (tc/dataset {:id [1 2 3 4]
-                         :choice1 ["A" "C" "D" "B"]
-                         :choice2 ["B" "B" nil "D"]
-                         :choice3 ["C" nil nil nil]}))
    
-
    multi
    
+
    (def multi (tc/dataset {:id [1 2 3 4]
+                         :choice1 ["A" "C" "D" "B"]
+                         :choice2 ["B" "B" nil "D"]
+                         :choice3 ["C" nil nil nil]}))
    
+
    multi
    _unnamed [4 4]:
    
 
 
 
 
 
 
    
@@ -18620,10 +18709,10 @@ 
    Reshaping
    
 
 
 
    
 
    Step 1 - convert all choices into rows and add artificial column to all values which are not missing.
    
-
    (def multi2 (-> multi
-                (tc/pivot->longer (complement #{:id}))
-                (tc/add-column :checked true)))
    
-
    multi2
    
+
    (def multi2 (-> multi
+                (tc/pivot->longer (complement #{:id}))
+                (tc/add-column :checked true)))
    
+
    multi2
    
 
    _unnamed [8 4]:
    
 
@@ -18686,10 +18775,10 @@ 
    Reshaping
    
 
 
 
    
 
    Step 2 - Convert back to wide form with actual choices as columns
    
-
    (-> multi2
-    (tc/drop-columns :$column)
-    (tc/pivot->wider :$value :checked {:drop-missing? false})
-    (tc/order-by :id))
    
+
    (-> multi2
+    (tc/drop-columns :$column)
+    (tc/pivot->wider :$value :checked {:drop-missing? false})
+    (tc/order-by :id))
    
 
    _unnamed [4 5]:
    
 
@@ -18735,11 +18824,11 @@ 
    Reshaping
    Construction
    
-
    (def construction (tc/dataset "data/construction.csv"))
-(def construction-unit-map {"1 unit" "1"
-                            "2 to 4 units" "2-4"
-                            "5 units or more" "5+"})
    
-
    construction
    
+
    (def construction (tc/dataset "data/construction.csv"))
+(def construction-unit-map {"1 unit" "1"
+                            "2 to 4 units" "2-4"
+                            "5 units or more" "5+"})
    
+
    construction
    data/construction.csv [9 9]:
    
 
 
 
 
 
 
    
@@ -18858,14 +18947,14 @@ 
    Reshaping
    
 
 
 
    
 
    Conversion 1 - Group two column types
    
-
    (-> construction
-    (tc/pivot->longer #"^[125NWS].*|Midwest" {:target-columns [:units :region]
-                                               :splitter (fn [col-name]
-                                                           (if (re-matches #"^[125].*" col-name)
-                                                             [(construction-unit-map col-name) nil]
-                                                             [nil col-name]))
-                                               :value-column-name :n
-                                               :drop-missing? false}))
    
+
    (-> construction
+    (tc/pivot->longer #"^[125NWS].*|Midwest" {:target-columns [:units :region]
+                                               :splitter (fn [col-name]
+                                                           (if (re-matches #"^[125].*" col-name)
+                                                             [(construction-unit-map col-name) nil]
+                                                             [nil col-name]))
+                                               :value-column-name :n
+                                               :drop-missing? false}))
    
 
    data/construction.csv [63 5]:
    
 
@@ -19035,17 +19124,17 @@ 
    Reshaping
    
 
 
 
    
 
    Conversion 2 - Convert to longer form and back and rename columns
    
-
    (-> construction
-    (tc/pivot->longer #"^[125NWS].*|Midwest" {:target-columns [:units :region]
-                                               :splitter (fn [col-name]
-                                                           (if (re-matches #"^[125].*" col-name)
-                                                             [(construction-unit-map col-name) nil]
-                                                             [nil col-name]))
-                                               :value-column-name :n
-                                               :drop-missing? false})
-    (tc/pivot->wider [:units :region] :n {:drop-missing? false})
-    (tc/rename-columns (zipmap (vals construction-unit-map)
-                                (keys construction-unit-map))))
    
+
    (-> construction
+    (tc/pivot->longer #"^[125NWS].*|Midwest" {:target-columns [:units :region]
+                                               :splitter (fn [col-name]
+                                                           (if (re-matches #"^[125].*" col-name)
+                                                             [(construction-unit-map col-name) nil]
+                                                             [nil col-name]))
+                                               :value-column-name :n
+                                               :drop-missing? false})
+    (tc/pivot->wider [:units :region] :n {:drop-missing? false})
+    (tc/rename-columns (zipmap (vals construction-unit-map)
+                                (keys construction-unit-map))))
    
 
    data/construction.csv [9 9]:
    
 
@@ -19165,8 +19254,8 @@ 
    Reshaping
    
 
 
    
 
    
 
    Various operations on stocks, examples taken from gather and spread manuals.
    
-
    (def stocks-tidyr (tc/dataset "data/stockstidyr.csv"))
    
-
    stocks-tidyr
    
+
    (def stocks-tidyr (tc/dataset "data/stockstidyr.csv"))
    
+
    stocks-tidyr
    
 
    data/stockstidyr.csv [10 4]:
    
 
@@ -19241,9 +19330,9 @@ 
    Reshaping
    
 
 
 
    
 
    Convert to longer form
    
-
    (def stocks-long (tc/pivot->longer stocks-tidyr ["X" "Y" "Z"] {:value-column-name :price
-                                                                :target-columns :stocks}))
    
-
    stocks-long
    
+
    (def stocks-long (tc/pivot->longer stocks-tidyr ["X" "Y" "Z"] {:value-column-name :price
+                                                                :target-columns :stocks}))
    
+
    stocks-long
    
 
    data/stockstidyr.csv [30 3]:
    
 
@@ -19367,7 +19456,7 @@ 
    Reshaping
    
 
 
 
    
 
    Convert back to wide form
    
-
    (tc/pivot->wider stocks-long :stocks :price)
    
+
    (tc/pivot->wider stocks-long :stocks :price)
    
 
    data/stockstidyr.csv [10 4]:
    
 
@@ -19442,9 +19531,9 @@ 
    Reshaping
    
 
 
 
    
 
    Convert to wide form on time column (let’s limit values to a couple of rows)
    
-
    (-> stocks-long
-    (tc/select-rows (range 0 30 4))
-    (tc/pivot->wider "time" :price {:drop-missing? false}))
    
+
    (-> stocks-long
+    (tc/select-rows (range 0 30 4))
+    (tc/pivot->wider "time" :price {:drop-missing? false}))
    
 
    data/stockstidyr.csv [3 6]:
    
 
@@ -19492,6 +19581,7 @@ 
    Join/Concat Datasets
    Joins accept left-side and right-side datasets and columns selector. Options are the same as in tech.ml.dataset functions.
    A column selector can be a map with :left and :right keys to specify column names separate for left and right dataset.
    The difference between tech.ml.dataset join functions are: arguments order (first datasets) and possibility to join on multiple columns.
    
+
    Multiple columns joins create temporary index column from column selection. The method for creating index is based on :hashing option and defaults to identity. Prior to 7.000-beta-50 hash function was used, which caused hash collision for certain cases.
    Additionally set operations are defined: intersect and difference.
    To concat two datasets rowwise you can choose:
      
@@ -19501,16 +19591,16 @@ 
      Join/Concat Datasets
      
 
    To add two datasets columnwise use bind. The number of rows should be equal.
    Datasets used in examples:
    
-
    (def ds1 (tc/dataset {:a [1 2 1 2 3 4 nil nil 4]
-                       :b (range 101 110)
-                       :c (map str "abs tract")}))
-(def ds2 (tc/dataset {:a [nil 1 2 5 4 3 2 1 nil]
-                      :b (range 110 101 -1)
-                      :c (map str "datatable")
-                      :d (symbol "X")
-                      :e [3 4 5 6 7 nil 8 1 1]}))
    
-
    ds1
-ds2
    
+
    (def ds1 (tc/dataset {:a [1 2 1 2 3 4 nil nil 4]
+                       :b (range 101 110)
+                       :c (map str "abs tract")}))
+(def ds2 (tc/dataset {:a [nil 1 2 5 4 3 2 1 nil]
+                      :b (range 110 101 -1)
+                      :c (map str "datatable")
+                      :d (symbol "X")
+                      :e [3 4 5 6 7 nil 8 1 1]}))
    
+
    ds1
+ds2
    _unnamed [9 3]:
    
 
 
 
 
 
 
 
 
 
 
 
    
@@ -19647,7 +19737,7 @@ 
    Join/Concat Datasets
    
 
 
    
 
    
 
    Left
    
-
    (tc/left-join ds1 ds2 :b)
    
+
    (tc/left-join ds1 ds2 :b)
    
 
    left-outer-join [9 8]:
    
 
@@ -19756,7 +19846,7 @@ 
    Left
    
 
 
 
    
 
    
-
    (tc/left-join ds2 ds1 :b)
    
+
    (tc/left-join ds2 ds1 :b)
    
 
    left-outer-join [9 8]:
    
 
@@ -19865,7 +19955,7 @@ 
    Left
    
 
 
 
    
 
    
-
    (tc/left-join ds1 ds2 [:a :b])
    
+
    (tc/left-join ds1 ds2 [:a :b])
    
 
    left-outer-join [9 8]:
    
 
@@ -19974,7 +20064,7 @@ 
    Left
    
 
 
 
    
 
    
-
    (tc/left-join ds2 ds1 [:a :b])
    
+
    (tc/left-join ds2 ds1 [:a :b])
    
 
    left-outer-join [9 8]:
    
 
@@ -20083,7 +20173,7 @@ 
    Left
    
 
 
 
    
 
    
-
    (tc/left-join ds1 ds2 {:left :a :right :e})
    
+
    (tc/left-join ds1 ds2 {:left :a :right :e})
    
 
    left-outer-join [11 8]:
    
 
@@ -20212,7 +20302,7 @@ 
    Left
    
 
 
 
    
 
    
-
    (tc/left-join ds2 ds1 {:left :e :right :a})
    
+
    (tc/left-join ds2 ds1 {:left :e :right :a})
    
 
    left-outer-join [12 8]:
    
 
@@ -20353,7 +20443,7 @@ 
    Left
    
 
 
 
    
@@ -20462,7 +20552,7 @@ 
    Right
    
 
 
 
    
 
    
-
    (tc/right-join ds2 ds1 :b)
    
+
    (tc/right-join ds2 ds1 :b)
    
 
    right-outer-join [9 8]:
    
 
@@ -20571,7 +20661,7 @@ 
    Right
    
 
 
 
    
 
    
-
    (tc/right-join ds1 ds2 [:a :b])
    
+
    (tc/right-join ds1 ds2 [:a :b])
    
 
    right-outer-join [9 8]:
    
 
@@ -20680,7 +20770,7 @@ 
    Right
    
 
 
 
    
 
    
-
    (tc/right-join ds2 ds1 [:a :b])
    
+
    (tc/right-join ds2 ds1 [:a :b])
    
 
    right-outer-join [9 8]:
    
 
@@ -20789,7 +20879,7 @@ 
    Right
    
 
 
 
    
 
    
-
    (tc/right-join ds1 ds2 {:left :a :right :e})
    
+
    (tc/right-join ds1 ds2 {:left :a :right :e})
    
 
    right-outer-join [12 8]:
    
 
@@ -20928,7 +21018,7 @@ 
    Right
    
 
 
 
    
 
    
-
    (tc/right-join ds2 ds1 {:left :e :right :a})
    
+
    (tc/right-join ds2 ds1 {:left :e :right :a})
    
 
    right-outer-join [11 8]:
    
 
@@ -21059,7 +21149,7 @@ 
    Right
    
 
    Inner
    
-
    (tc/inner-join ds1 ds2 :b)
    
+
    (tc/inner-join ds1 ds2 :b)
    
 
    inner-join [8 7]:
    
 
    
 
 
 
    
@@ -21149,7 +21239,7 @@ 
    Inner
    
 
 
 
    
 
    
-
    (tc/inner-join ds2 ds1 :b)
    
+
    (tc/inner-join ds2 ds1 :b)
    
 
    inner-join [8 7]:
    
 
@@ -21239,7 +21329,7 @@ 
    Inner
    
 
 
 
    
 
    
-
    (tc/inner-join ds1 ds2 [:a :b])
    
+
    (tc/inner-join ds1 ds2 [:a :b])
    
 
    inner-join [4 8]:
    
 
@@ -21298,7 +21388,7 @@ 
    Inner
    
 
 
 
    
 
    
-
    (tc/inner-join ds2 ds1 [:a :b])
    
+
    (tc/inner-join ds2 ds1 [:a :b])
    
 
    inner-join [4 8]:
    
 
@@ -21357,7 +21447,7 @@ 
    Inner
    
 
 
 
    
 
    
-
    (tc/inner-join ds1 ds2 {:left :a :right :e})
    
+
    (tc/inner-join ds1 ds2 {:left :a :right :e})
    
 
    inner-join [7 7]:
    
 
@@ -21438,7 +21528,7 @@ 
    Inner
    
 
 
 
    
 
    
-
    (tc/inner-join ds2 ds1 {:left :e :right :a})
    
+
    (tc/inner-join ds2 ds1 {:left :e :right :a})
    
 
    inner-join [7 7]:
    
 
@@ -21522,7 +21612,7 @@ 
    Inner
    
 
    Full
    
 
    Join keeping all rows
    
-
    (tc/full-join ds1 ds2 :b)
    
+
    (tc/full-join ds1 ds2 :b)
    
 
    full-join [10 8]:
    
 
    
 
 
    
@@ -21641,7 +21731,7 @@ 
    Full
    
 
 
 
    
 
    
-
    (tc/full-join ds2 ds1 :b)
    
+
    (tc/full-join ds2 ds1 :b)
    
 
    full-join [10 8]:
    
 
@@ -21760,7 +21850,7 @@ 
    Full
    
 
 
 
    
 
    
-
    (tc/full-join ds1 ds2 [:a :b])
    
+
    (tc/full-join ds1 ds2 [:a :b])
    
 
    full-join [14 8]:
    
 
@@ -21919,7 +22009,7 @@ 
    Full
    
 
 
 
    
 
    
-
    (tc/full-join ds2 ds1 [:a :b])
    
+
    (tc/full-join ds2 ds1 [:a :b])
    
 
    full-join [14 8]:
    
 
@@ -22078,7 +22168,7 @@ 
    Full
    
 
 
 
    
 
    
-
    (tc/full-join ds1 ds2 {:left :a :right :e})
    
+
    (tc/full-join ds1 ds2 {:left :a :right :e})
    
 
    full-join [16 8]:
    
 
@@ -22257,7 +22347,7 @@ 
    Full
    
 
 
 
    
 
    
-
    (tc/full-join ds2 ds1 {:left :e :right :a})
    
+
    (tc/full-join ds2 ds1 {:left :e :right :a})
    
 
    full-join [16 8]:
    
 
@@ -22439,7 +22529,7 @@ 
    Full
    
 
    Semi
    
 
    Return rows from ds1 matching ds2
    
-
    (tc/semi-join ds1 ds2 :b)
    
+
    (tc/semi-join ds1 ds2 :b)
    
 
    semi-join [8 3]:
    
 
    
 
 
    
@@ -22493,7 +22583,7 @@ 
    Semi
    
 
 
 
    
 
    
-
    (tc/semi-join ds2 ds1 :b)
    
+
    (tc/semi-join ds2 ds1 :b)
    
 
    semi-join [8 5]:
    
 
@@ -22565,7 +22655,7 @@ 
    Semi
    
 
 
 
    
 
    
-
    (tc/semi-join ds1 ds2 [:a :b])
    
+
    (tc/semi-join ds1 ds2 [:a :b])
    
 
    semi-join [4 3]:
    
 
@@ -22599,7 +22689,7 @@ 
    Semi
    
 
 
 
    
 
    
-
    (tc/semi-join ds2 ds1 [:a :b])
    
+
    (tc/semi-join ds2 ds1 [:a :b])
    
 
    semi-join [4 5]:
    
 
@@ -22643,7 +22733,7 @@ 
    Semi
    
 
 
 
    
 
    
-
    (tc/semi-join ds1 ds2 {:left :a :right :e})
    
+
    (tc/semi-join ds1 ds2 {:left :a :right :e})
    
 
    semi-join [7 3]:
    
 
@@ -22692,7 +22782,7 @@ 
    Semi
    
 
 
 
    
 
    
-
    (tc/semi-join ds2 ds1 {:left :e :right :a})
    
+
    (tc/semi-join ds2 ds1 {:left :e :right :a})
    
 
    semi-join [5 5]:
    
 
@@ -22746,7 +22836,7 @@ 
    Semi
    
 
    Anti
    
 
    Return rows from ds1 not matching ds2
    
-
    (tc/anti-join ds1 ds2 :b)
    
+
    (tc/anti-join ds1 ds2 :b)
    
 
    anti-join [1 3]:
    
 
    
 
 
    
@@ -22765,7 +22855,7 @@ 
    Anti
    
 
 
 
    
 
    
-
    (tc/anti-join ds2 ds1 :b)
    
+
    (tc/anti-join ds2 ds1 :b)
    
 
    anti-join [1 5]:
    
 
@@ -22788,7 +22878,7 @@ 
    Anti
    
 
 
 
    
 
    
-
    (tc/anti-join ds1 ds2 [:a :b])
    
+
    (tc/anti-join ds1 ds2 [:a :b])
    
 
    anti-join [5 3]:
    
 
@@ -22827,7 +22917,7 @@ 
    Anti
    
 
 
 
    
 
    
-
    (tc/anti-join ds1 ds2 {:left :a :right :e})
    
+
    (tc/anti-join ds1 ds2 {:left :a :right :e})
    
 
    anti-join [2 3]:
    
 
@@ -22851,7 +22941,7 @@ 
    Anti
    
 
 
 
    
 
    
-
    (tc/anti-join ds2 ds1 {:left :e :right :a})
    
+
    (tc/anti-join ds2 ds1 {:left :e :right :a})
    
 
    anti-join [4 5]:
    
 
@@ -22895,10 +22985,193 @@ 
    Anti
    
 
 
 
    
 
    
+
    
+
    Hashing
    
+
    When :hashing option is used, data from join columns are preprocessed by applying join-columns funtion with :result-type set to the value of :hashing. This helps to create custom joining behaviour. Function used for hashing will get vector of row values from join columns.
    
+
    In the following example we will join columns on value modulo 5.
    
+
    (tc/left-join ds1 ds2 :b {:hashing (fn [[v]] (mod v 5))})
    
+
    left-outer-join [16 8]:
    
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
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+
    :a:b:c:right.a:right.b:right.c:d:e
    3105t110dX3
    21041109aX4
    4109t1109aX4
    1103s2108tX5
    108c2108tX5
    2102b5107aX6
    107a5107aX6
    1101a4106tX7
    4106r4106tX7
    3105t3105aX
    21042104bX8
    4109t2104bX8
    1103s1103lX1
    108c1103lX1
    2102b102eX1
    107a102eX1
    
+
    
 
    
 
    Cross
    
 
    Cross product from selected columns
    
-
    (tc/cross-join ds1 ds2 [:a :b])
    
+
    (tc/cross-join ds1 ds2 [:a :b])
    
 
    cross-join [81 4]:
    
 
@@ -23045,7 +23318,7 @@ 
    Cross
    
 
 
 
    
 
    
-
    (tc/cross-join ds1 ds2 {:left [:a :b] :right :e})
    
+
    (tc/cross-join ds1 ds2 {:left [:a :b] :right :e})
    
 
    cross-join [81 3]:
    
 
@@ -23172,7 +23445,7 @@ 
    Cross
    
 
    Expand
    
 
    Similar to cross product but works on a single dataset.
    
-
    (tc/expand ds2 :a :c :d)
    
+
    (tc/expand ds2 :a :c :d)
    
 
    cross-join [36 3]:
    
 
    
 
 
    
@@ -23297,7 +23570,7 @@ 
    Expand
    
 
 
    
 
    
 
    Columns can be also bundled (nested) in tuples which are treated as a single entity during cross product.
    
-
    (tc/expand ds2 [:a :c] [:e :b])
    
+
    (tc/expand ds2 [:a :c] [:e :b])
    
 
    cross-join [81 4]:
    
 
@@ -23447,7 +23720,7 @@ 
    Expand
    
 
    Complete
    
 
    Same as expand with all other columns preserved (filled with missing values if necessary).
    
-
    (tc/complete ds2 :a :c :d)
    
+
    (tc/complete ds2 :a :c :d)
    
 
    left-outer-join [36 5]:
    
 
    
 
 
    
@@ -23617,7 +23890,7 @@ 
    Complete
    
 
 
 
    
 
    
-
    (tc/complete ds2 [:a :c] [:e :b])
    
+
    (tc/complete ds2 [:a :c] [:e :b])
    
 
    left-outer-join [81 5]:
    
 
@@ -23789,12 +24062,12 @@ 
    Complete
    
 
    asof
    
-
    (def left-ds (tc/dataset {:a [1 5 10]
-                          :left-val ["a" "b" "c"]}))
-(def right-ds (tc/dataset {:a [1 2 3 6 7]
-                           :right-val [:a :b :c :d :e]}))
    
-
    left-ds
-right-ds
    
+
    (def left-ds (tc/dataset {:a [1 5 10]
+                          :left-val ["a" "b" "c"]}))
+(def right-ds (tc/dataset {:a [1 2 3 6 7]
+                           :right-val [:a :b :c :d :e]}))
    
+
    left-ds
+right-ds
    
 
    _unnamed [3 2]:
    
 
    
 
 
 
    
@@ -23849,7 +24122,7 @@ 
    asof
    
 
 
 
 
    
-
    (tc/asof-join left-ds right-ds :a)
    
+
    (tc/asof-join left-ds right-ds :a)
    
 
    asof-<= [3 4]:
    
 
@@ -23881,7 +24154,7 @@ 
    asof
    
 
 
 
 
    
-
    (tc/asof-join left-ds right-ds :a {:asof-op :nearest})
    
+
    (tc/asof-join left-ds right-ds :a {:asof-op :nearest})
    
 
    asof-nearest [3 4]:
    
 
@@ -23913,7 +24186,7 @@ 
    asof
    
 
 
 
 
    
-
    (tc/asof-join left-ds right-ds :a {:asof-op :>=})
    
+
    (tc/asof-join left-ds right-ds :a {:asof-op :>=})
    
 
    asof->= [3 4]:
    
 
@@ -23949,7 +24222,7 @@ 
    asof
    
 
    Concat
    
 
    contact joins rows from other datasets
    
-
    (tc/concat ds1)
    
+
    (tc/concat ds1)
    
 
    _unnamed [9 3]:
    
 
    
 
 
    
@@ -24009,7 +24282,7 @@ 
    Concat
    
 
 
    
 
    
 
    concat-copying ensures all readers are evaluated.
    
-
    (tc/concat-copying ds1)
    
+
    (tc/concat-copying ds1)
    
 
    _unnamed [9 3]:
    
 
@@ -24068,7 +24341,7 @@ 
    Concat
    
 
 
 
    
 
    
-
    (tc/concat ds1 (tc/drop-columns ds2 :d))
    
+
    (tc/concat ds1 (tc/drop-columns ds2 :d))
    
 
    _unnamed [18 4]:
    
 
@@ -24191,7 +24464,7 @@ 
    Concat
    
 
 
 
    
 
    
-
    (apply tc/concat (repeatedly 3 #(tc/random DS)))
    
+
    (apply tc/concat (repeatedly 3 #(tc/random DS)))
    
 
    _unnamed [27 4]:
    
 
@@ -24210,10 +24483,10 @@ 
    Concat
    
-
-
-
-
+
+
+
+
@@ -24222,22 +24495,10 @@ 
    Concat
    
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
+
+
+
@@ -24246,28 +24507,16 @@ 
    Concat
    
-
-
-
-
-
-
-
-
-
-
-
-
-
+
-
-
-
-
+
+
+
+
@@ -24276,35 +24525,35 @@ 
    Concat
    
-
-
-
-
-
-
-
+
-
-
-
-
-
-
+
+
+
+
+
+
+
+
+
+
+
+
@@ -24313,35 +24562,59 @@ 
    Concat
    
-
-
-
+
+
+
+
+
+
+
+
+
-
+
-
+
-
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
    
 
 
    B
 
    
 
    221.0B170.5A
 
    
 
    
 2
 C
 
    
 
    240.5A
    170.5A
    
 110.5A91.5C
 
    
 
    
 2
 B
 
    
 
    170.5A
    
 240.5A
    196
 1.5
 C
 
    
 
    …………131.5C
 
    
 
    
 1
 C
 
    
 
    240.5A
    
 1
 9
 1.5
 C
 
    
 1
 7
 0.5
 A
 
    151.0B
    
 
    …………
    
 1
 3
 1.5
 C
 
    170.5A
    
 
    
 2
 4
 
    
 
    
 170.5A51.0B
 
    
 
    
 281.0B
    2
 6
 1.5
 C
 
    
 139
 1.5
 C
 
    
 1
 5
 1.0
 B
 
    221.0B
    240.5A
    110.5A
    
 
 
    
 
    
 
    Concat grouped dataset
    
 
    Concatenation of grouped datasets results also in grouped dataset.
    
-
    (tc/concat (tc/group-by DS [:V3])
-           (tc/group-by DS [:V4]))
    
+
    (tc/concat (tc/group-by DS [:V3])
+           (tc/group-by DS [:V4]))
    
 
    _unnamed [6 3]:
    
 
@@ -24389,7 +24662,7 @@ 
    Concat grouped dataset
    
 
    Union
    
 
    The same as concat but returns unique rows
    
-
    (apply tc/union (tc/drop-columns ds2 :d) (repeat 10 ds1))
    
+
    (apply tc/union (tc/drop-columns ds2 :d) (repeat 10 ds1))
    
 
    union [18 4]:
    
 
    
 
 
    
@@ -24512,7 +24785,7 @@ 
    Union
    
 
 
 
    
 
    
-
    (apply tc/union (repeatedly 10 #(tc/random DS)))
    
+
    (apply tc/union (repeatedly 10 #(tc/random DS)))
    
 
    union [9 4]:
    
 
@@ -24525,22 +24798,22 @@ 
    Union
    
-
-
+
+
-
-
+
+
-
-
-
+
+
+
@@ -24550,15 +24823,15 @@ 
    Union
    
-
-
-
+
+
+
-
-
-
+
+
+
@@ -24568,15 +24841,15 @@ 
    Union
    
-
-
-
+
+
+
-
-
-
+
+
+
    
 
 
 
 
    1724
 0.5
 A
 
    
 
    2417
 0.5
 A
 
    
 
    
 131.5C51.0B
 
    
 
    
 1
 
    
 
    
 110.5A31.5C
 
    
 
    
 221.0B61.5C
 
    
 
    
 2
 
    
 
    
 151.0B10.5A
 
    
 
    
 261.5C21.0B
 
    
     
 
    
@@ -24584,7 +24857,7 @@ 
    Union
    
 
    
 
    Bind
    
 
    bind adds empty columns during concat
    
-
    (tc/bind ds1 ds2)
    
+
    (tc/bind ds1 ds2)
    
 
    _unnamed [18 5]:
    
 
@@ -24726,7 +24999,7 @@ 
    Bind
    
 
 
 
    
 
    
-
    (tc/bind ds2 ds1)
    
+
    (tc/bind ds2 ds1)
    
 
    _unnamed [18 5]:
    
 
@@ -24871,7 +25144,7 @@ 
    Bind
    
 
    Append
    
 
    append concats columns
    
-
    (tc/append ds1 ds2)
    
+
    (tc/append ds1 ds2)
    
 
    _unnamed [9 8]:
    
 
    
 
 
    
@@ -24982,8 +25255,8 @@ 
    Append
    
 
    Intersection
    
-
    (tc/intersect (tc/select-columns ds1 :b)
-              (tc/select-columns ds2 :b))
    
+
    (tc/intersect (tc/select-columns ds1 :b)
+              (tc/select-columns ds2 :b))
    
 
    intersection [8 1]:
    
 
    
 
 
 
    
@@ -25021,8 +25294,8 @@ 
    Intersection
    
 
    Difference
    
-
    (tc/difference (tc/select-columns ds1 :b)
-               (tc/select-columns ds2 :b))
    
+
    (tc/difference (tc/select-columns ds1 :b)
+               (tc/select-columns ds2 :b))
    
 
    difference [1 1]:
    
 
    
 
 
 
    
@@ -25037,8 +25310,8 @@ 
    Difference
    
 
 
 
    
 
    
-
    (tc/difference (tc/select-columns ds2 :b)
-               (tc/select-columns ds1 :b))
    
+
    (tc/difference (tc/select-columns ds2 :b)
+               (tc/select-columns ds1 :b))
    
 
    difference [1 1]:
    
 
@@ -25082,11 +25355,11 @@ 
    Split into train/test
    In case of grouped dataset each group is processed separately.
    See more
    
-
    (def for-splitting (tc/dataset (map-indexed (fn [id v] {:id id
-                                                        :partition v
-                                                        :group (rand-nth [:g1 :g2 :g3])})
-                                            (concat (repeat 20 :a) (repeat 5 :b)))))
    
-
    for-splitting
    
+
    (def for-splitting (tc/dataset (map-indexed (fn [id v] {:id id
+                                                        :partition v
+                                                        :group (rand-nth [:g1 :g2 :g3])})
+                                            (concat (repeat 20 :a) (repeat 5 :b)))))
    
+
    for-splitting
    _unnamed [25 3]:
    
 
 
 
 
 
 
    
@@ -25100,7 +25373,7 @@ 
    Split into train/test
    
-
+
@@ -25110,12 +25383,12 @@ 
    Split into train/test
    
-
+
-
+
@@ -25125,7 +25398,7 @@ 
    Split into train/test
    
-
+
@@ -25135,7 +25408,7 @@ 
    Split into train/test
    
-
+
@@ -25145,7 +25418,7 @@ 
    Split into train/test
    
-
+
@@ -25160,22 +25433,22 @@ 
    Split into train/test
    
-
+
-
+
-
+
-
+
@@ -25185,36 +25458,36 @@ 
    Split into train/test
    
-
+
-
+
-
+
-
+
-
+
    
 
 
    
 0
 :a:g2:g3
 
    
 
    
 1
 
    
 2
 :a:g3:g2
 
    
 
    
 3
 :a:g3:g2
 
    
 
    
 4
 
    
 5
 :a:g3:g1
 
    
 
    
 6
 
    
 7
 :a:g3:g1
 
    
 
    
 8
 
    
 9
 :a:g3:g2
 
    
 
    
 …
 
    
 15
 :a:g3:g1
 
    
 
    
 16
 :a:g2:g1
 
    
 
    
 17
 :a:g2:g3
 
    
 
    
 18
 :a:g2:g3
 
    
 
    
 19
 
    
 20
 :b:g1:g3
 
    
 
    
 21
 :b:g1:g2
 
    
 
    
 22
 :b:g2:g1
 
    
 
    
 23
 :b:g2:g1
 
    
 
    
 24
 :b:g1:g3
 
    
 
 
    
 
    
 
    k-Fold
    
 
    Returns k=5 maps
    
-
    (-> for-splitting
-    (tc/split)
-    (tc/head 30))
    
+
    (-> for-splitting
+    (tc/split)
+    (tc/head 30))
    
 
    _unnamed, (splitted) [30 5]:
    
 
@@ -25228,170 +25501,170 @@ 
    k-Fold
    
-
+
-
+
-
-
+
+
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-
-
+
+
+
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+
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+
@@ -25403,30 +25676,30 @@ 
    k-Fold
    
-
+
-
+
-
+
-
+
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+
-
+
-
-
-
+
+
+
@@ -25440,9 +25713,9 @@ 
    k-Fold
    
 
 
 
 
    140
 :a:g2:g3
 :train
 0
 
    
 
    24:b15:a
 :g1
 :train
 0
 
    
 
    23:b:g212:a:g1
 :train
 0
 
    
 
    10:a24:b
 :g3
 :train
 0
 
    
 
    13:a:g322:b:g1
 :train
 0
 
    
 
    193
 :a:g1:g2
 :train
 0
 
    
 
    22:b:g27:a:g1
 :train
 0
 
    
 
    5:a:g323:b:g1
 :train
 0
 
    
 
    
 21
 :b:g1:g2
 :train
 0
 
    
 
    164
 :a
 :g2
 :train
 0
 
    
 
    710
 :a
 :g3
 :train
 0
 
    
 
    171
 :a:g2:g1
 :train
 0
 
    
 
    417
 :a:g2:g3
 :train
 0
 
    
 
    1116
 :a
 :g1
 :train
 0
 
    
 
    118
 :a:g1:g3
 :train
 0
 
    
 
    15:a20:b
 :g3
 :train
 0
 
    
 
    182
 :a
 :g2
 :train
 0
 
    
 
    811
 :a:g1:g2
 :train
 0
 
    
 
    128
 :a
 :g1
 :train
 0
 
    
 
    95
 :a:g3:g1
 :train
 0
 
    
 
    29
 :a:g3:g2
 :test
 0
 
    
 
    313
 :a:g3:g1
 :test
 0
 
    
 
    019
 :a:g2:g1
 :test
 0
 
    
 
    20:b:g114:a:g2
 :test
 0
 
    
 
    0
 
    
 
    29
 :a:g3:g2
 :train
 1
 
    
 
    313
 :a:g3:g1
 :train
 1
 
    
 
    019
 :a:g2:g1
 :train
 1
 
    
 
    20:b:g114:a:g2
 :train
 1
 
    
     
 
    
 
    Partition according to :k column to reflect it’s distribution
    
-
    (-> for-splitting
-    (tc/split :kfold {:partition-selector :partition})
-    (tc/head 30))
    
+
    (-> for-splitting
+    (tc/split :kfold {:partition-selector :partition})
+    (tc/head 30))
    
 
    _unnamed, (splitted) [30 5]:
    
 
@@ -25456,49 +25729,35 @@ 
    k-Fold
    
-
-
-
-
-
-
-
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+
-
-
-
-
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-
-
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+
-
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-
+
@@ -25512,77 +25771,77 @@ 
    k-Fold
    
-
+
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@@ -25596,21 +25855,21 @@ 
    k-Fold
    
-
+
-
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+
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+
+
-
+
@@ -25624,21 +25883,21 @@ 
    k-Fold
    
-
+
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-
+
@@ -25652,16 +25911,30 @@ 
    k-Fold
    
-
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+
+
+
+
-
+
-
+
@@ -25670,8 +25943,8 @@ 
    k-Fold
    
 
    Bootstrap
    
-
    (tc/split for-splitting :bootstrap)
    
-
    _unnamed, (splitted) [33 5]:
    
+
    (tc/split for-splitting :bootstrap)
    
+
    _unnamed, (splitted) [34 5]:
    
 
    
 
 
 
 
    13:a:g3:train0
    1811
 :a
 :g2
 :train
 0
 
    3:a:g3:train0
    
 
    73
 :a:g3:g2
 :train
 0
 
    
 
    1614
 :a
 :g2
 :train
 0
 
    
 
    015
 :a:g2:g1
 :train
 0
 
    
 
    812
 :a
 :g1
 :train
 0
 
    
 
    1918
 :a:g1:g3
 :train
 0
 
    
 
    175
 :a:g2:g1
 :train
 0
 
    
 
    90
 :a
 :g3
 :train
 0
 
    
 
    1513
 :a:g3:g1
 :train
 0
 
    
 
    104
 :a:g3:g2
 :train
 0
 
    
 
    42
 :a
 :g2
 :train
 0
 
    
 
    149
 :a
 :g2
 :train
 0
 
    
 
    516
 :a:g3:g1
 :train
 0
 
    
 
    1219
 :a
 :g1:test:train
 0
 
    
 
    118
 :a
 :g1:test:train
 0
 
    
 
    210
 :a
 :g3
 :test
 0
 
    
 
    127
 :a
 :g1:train1:test0
 
    
 
    1117
 :a:g1:train1:g3:test0
 
    
 
    210
 :a
 :g3
 :train
 1
 
    
 
    167
 :a:g2:g1
 :train
 1
 
    
 
    017
 :a:g2:g3
 :train
 1
 
    
 
    812
 :a
 :g1
 :train
 1
 
    
 
    1918:a:g3:train1
    5
 :a
 :g1
 :train
 1
 
    0:a:g3:train1
    
 
    1713
 :a:g2:g1
 :train
 1
 
    
 
 
    
@@ -25684,72 +25957,72 @@ 
    Bootstrap
    
-
+
-
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@@ -25761,71 +26034,71 @@ 
    Bootstrap
    
-
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+
@@ -25833,24 +26106,24 @@ 
    Bootstrap
    
-
+
    
 
 
    
 
    
 
 
    53
 :a:g3:g2
 :train
 0
 
    
 
    13
 :a:g1:g2
 :train
 0
 
    
 
    4:a:g220:b:g3
 :train
 0
 
    
 
    21:b15:a
 :g1
 :train
 0
 
    
 
    41
 :a:g2:g1
 :train
 0
 
    
 
    1310
 :a
 :g3
 :train
 0
 
    
 
    164
 :a
 :g2
 :train
 0
 
    
 
    514
 :a:g3:g2
 :train
 0
 
    
 
    15:a:g323:b:g1
 :train
 0
 
    
 
    519
 :a:g3:g1
 :train
 0
 
    
 
    …
 
    
 
    23:b4:a
 :g2
 :train
 0
 
    
 
    21:b:g111:a:g2
 :train
 0
 
    
 
    26
 :a
 :g3:train:test
 0
 
    
 
    37
 :a:g3:g1
 :test
 0
 
    
 
    812
 :a
 :g1
 :test
 0
 
    
 
    913
 :a:g3:g1
 :test
 0
 
    
 
    1017
 :a
 :g3
 :test
 0
 
    
 
    1118
 :a:g1:g3
 :test
 0
 
    
 
    17:a21:b
 :g2
 :test
 0
 
    
 
    19:a22:b
 :g1
 :test
 0
 
    
 24
 :b:g1:g3
 :test
 0
 
    
     
 
    
 
    with repeats, to get 100 splits
    
-
    (-> for-splitting
-    (tc/split :bootstrap {:repeats 100})
-    (:$split-id)
-    (distinct)
-    (count))
    
+
    (-> for-splitting
+    (tc/split :bootstrap {:repeats 100})
+    (:$split-id)
+    (distinct)
+    (count))
    
 
    100
    
 
    
 
    
 
    Holdout
    
 
    with small ratio
    
-
    (tc/split for-splitting :holdout {:ratio 0.2})
    
+
    (tc/split for-splitting :holdout {:ratio 0.2})
    
 
    _unnamed, (splitted) [25 5]:
    
 
@@ -25864,71 +26137,71 @@ 
    Holdout
    
-
+
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@@ -25941,86 +26214,86 @@ 
    Holdout
    
-
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-
+
    
 
 
 
 
    89
 :a:g1:g2
 :train
 0
 
    
 
    319
 :a:g3:g1
 :train
 0
 
    
 
    22:b:g212:a:g1
 :train
 0
 
    
 
    1314
 :a:g3:g2
 :train
 0
 
    
 
    518
 :a
 :g3
 :train
 0
 
    
 
    68
 :a:g3:g1
 :test
 0
 
    
 
    2023
 :b
 :g1
 :test
 0
 
    
 
    24:b7:a
 :g1
 :test
 0
 
    
 
    1213
 :a
 :g1
 :test
 0
 
    
 
    10:a24:b
 :g3
 :test
 0
 …
 
    
 
    9:a20:b
 :g3
 :test
 0
 
    
 
    176
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 :test
 0
 
    
 
    2322
 :b:g2:g1
 :test
 0
 
    
 
    1617
 :a:g2:g3
 :test
 0
 
    
 
    
 21
 :b:g1:g2
 :test
 0
 
    
 
    180
 :a:g2:g3
 :test
 0
 
    
 
    25
 :a:g3:g1
 :test
 0
 
    
 
    1911
 :a:g1:g2
 :test
 0
 
    
 
    01
 :a:g2:g1
 :test
 0
 
    
 
    73
 :a:g3:g2
 :test
 0
 
    
 
    
 15
 :a:g3:g1
 :test
 0
 
    
     
 
    
 
    you can split to more than two subdatasets with holdout
    
-
    (tc/split for-splitting :holdout {:ratio [0.1 0.2 0.3 0.15 0.25]})
    
+
    (tc/split for-splitting :holdout {:ratio [0.1 0.2 0.3 0.15 0.25]})
    
 
    _unnamed, (splitted) [25 5]:
    
 
@@ -26034,70 +26307,70 @@ 
    Holdout
    
-
-
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@@ -26111,78 +26384,78 @@ 
    Holdout
    
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@@ -26190,8 +26463,8 @@ 
    Holdout
    
 
 
 
 
    24:b:g117:a:g3
 :train
 0
 
    
 
    1510
 :a
 :g3
 :train
 0
 
    
 
    02
 :a
 :g2
 :test
 0
 
    
 
    20:b:g19:a:g2
 :test
 0
 
    
 
    20
 :a
 :g3
 :test
 0
 
    
 
    7:a:g323:b:g1
 :test
 0
 
    
 
    23:b4:a
 :g2
 :test
 0
 
    
 
    11:a:g121:b:g2
 :split-2
 0
 
    
 
    512
 :a:g3:g1
 :split-2
 0
 
    
 
    36
 :a
 :g3
 :split-2
 …
 
    
 
    416
 :a:g2:g1
 :split-3
 0
 
    
 
    914
 :a:g3:g2
 :split-3
 0
 
    
 
    1318
 :a
 :g3
 :split-3
 0
 
    
 
    1615
 :a:g2:g1
 :split-4
 0
 
    
 
    1419
 :a:g2:g1
 :split-4
 0
 
    
 
    1813
 :a:g2:g1
 :split-4
 0
 
    
 
    191
 :a
 :g1
 :split-4
 0
 
    
 
    21:b:g13:a:g2
 :split-4
 0
 
    
 
    1211
 :a:g1:g2
 :split-4
 0
 
    
 
    6:a24:b
 :g3
 :split-4
 0
 
    
 
    10:a20:b
 :g3
 :split-4
 0
 
    
 
    
 
    you can use also proportions with custom names
    
-
    (tc/split for-splitting :holdout {:ratio [5 3 11 2]
-                                  :split-names ["small" "smaller" "big" "the rest"]})
    
+
    (tc/split for-splitting :holdout {:ratio [5 3 11 2]
+                                  :split-names ["small" "smaller" "big" "the rest"]})
    
 
    _unnamed, (splitted) [25 5]:
    
 
@@ -26205,71 +26478,71 @@ 
    Holdout
    
-
+
-
+
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-
+
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+
@@ -26282,79 +26555,79 @@ 
    Holdout
    
-
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+
+
@@ -26364,9 +26637,9 @@ 
    Holdout
    
 
    Holdouts
    
 
    With ratios from 5% to 95% of the dataset with step 1.5 generates 15 splits with ascending rows in train dataset.
    
-
    (-> (tc/split for-splitting :holdouts {:steps [0.05 0.95 1.5]
-                                       :shuffle? false})
-    (tc/group-by [:$split-id :$split-name]))
    
+
    (-> (tc/split for-splitting :holdouts {:steps [0.05 0.95 1.5]
+                                       :shuffle? false})
+    (tc/group-by [:$split-id :$split-name]))
    
 
    _unnamed [30 3]:
    
 
    
 
 
 
 
    87
 :a
 :g1
 small
 0
 
    
 
    419
 :a:g2:g1
 small
 0
 
    
 
    181
 :a:g2:g1
 small
 0
 
    
 
    312
 :a:g3:g1
 small
 0
 
    
 
    511
 :a:g3:g2
 small
 0
 
    
 
    1017
 :a
 :g3
 smaller
 0
 
    
 
    1310
 :a
 :g3
 smaller
 0
 
    
 
    1413
 :a:g2:g1
 smaller
 0
 
    
 
    616
 :a:g3:g1
 big
 0
 
    
 
    21:b15:a
 :g1
 big
 0
 …
 
    
 
    20:b:g13:a:g2
 big
 0
 
    
 
    24:b:g114:a:g2
 big
 0
 
    
 
    172
 :a
 :g2
 big
 0
 
    
 
    198
 :a
 :g1
 big
 0
 
    
 
    018
 :a:g2:g3
 big
 0
 
    
 
    159
 :a:g3:g2
 big
 0
 
    
 
    116
 :a:g1:g3
 big
 0
 
    
 
    2322
 :b:g2:g1
 the rest
 0
 
    
 
    1:a:g120:b:g3
 the rest
 0
 
    
 
    24
 :a:g3:g2
 the rest
 0
 
    
 
    16:a:g223:b:g1
 the rest
 0
 
    
 
    @@ -26497,9 +26770,9 @@ 
    Holdouts
    
 
    Leave One Out
    
-
    (-> for-splitting
-    (tc/split :loo)
-    (tc/head 30))
    
+
    (-> for-splitting
+    (tc/split :loo)
+    (tc/head 30))
    
 
    _unnamed, (splitted) [30 5]:
    
 
    
 

 
 
    
@@ -26513,227 +26786,227 @@ 
    Leave One Out
    
-
-
-
+
+
+
-
+
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+
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+
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+
-
-
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+
+
+
    
 
 
 
 
    20:b:g117:a:g3
 :train
 0
 
    
 
    1518
 :a
 :g3
 :train
 0
 
    
 
    01
 :a:g2:g1
 :train
 0
 
    
 
    12:a22:b
 :g1
 :train
 0
 
    
 
    22:b:g27:a:g1
 :train
 0
 
    
 
    7:a:g323:b:g1
 :train
 0
 
    
 
    58
 :a:g3:g1
 :train
 0
 
    
 
    1115
 :a
 :g1
 :train
 0
 
    
 
    1712
 :a:g2:g1
 :train
 0
 
    
 
    813
 :a
 :g1
 :train
 0
 
    
 
    1914
 :a:g1:g2
 :train
 0
 
    
 
    14:a:g224:b:g3
 :train
 0
 
    
 
    6:a20:b
 :g3
 :train
 0
 
    
 
    14
 :a:g1:g2
 :train
 0
 
    
 
    130
 :a
 :g3
 :train
 0
 
    
 
    103
 :a:g3:g2
 :train
 0
 
    
 
    26
 :a
 :g3
 :train
 0
 
    
 
    169
 :a
 :g2
 :train
 0
 
    
 
    23:b:g216:a:g1
 :train
 0
 
    
 
    35
 :a:g3:g1
 :train
 0
 
    
 
    21:b19:a
 :g1
 :train
 0
 
    
 
    4:a21:b
 :g2
 :train
 0
 
    
 
    24:b:g110:a:g3
 :train
 0
 
    
 
    182
 :a
 :g2
 :train
 0
 
    
 
    911
 :a:g3:g2
 :test
 0
 
    
 
    911
 :a:g3:g2
 :train
 1
 
    
 
    1518
 :a
 :g3
 :train
 1
 
    
 
    01
 :a:g2:g1
 :train
 1
 
    
 
    12:a22:b
 :g1
 :train
 1
 
    
 
    22:b:g27:a:g1
 :train
 1
 
    
     
 
    
-
    (-> for-splitting
-    (tc/split :loo)
-    (tc/row-count))
    
+
    (-> for-splitting
+    (tc/split :loo)
+    (tc/row-count))
    
 
    625
    
 
    
 
    
 
    Grouped dataset with partitioning
    
-
    (-> for-splitting
-    (tc/group-by :group)
-    (tc/split :bootstrap {:partition-selector :partition :seed 11 :ratio 0.8}))
    
+
    (-> for-splitting
+    (tc/group-by :group)
+    (tc/split :bootstrap {:partition-selector :partition :seed 11 :ratio 0.8}))
    
 
    _unnamed [3 3]:
    
 
@@ -26745,19 +27018,19 @@ 
    Grouped dataset with partitioning
    
-
+
-
+
-
+
-
+
-
+
    
 
 
 
 
    :g2:g3
 0Group: :g2, (splitted) [10 5]:Group: :g3, (splitted) [9 5]:
 
    
 
    
 :g1
 1Group: :g1, (splitted) [10 5]:Group: :g1, (splitted) [15 5]:
 
    
 
    :g3:g2
 2Group: :g3, (splitted) [11 5]:Group: :g2, (splitted) [8 5]:
 
    
     
 
    
@@ -26765,9 +27038,9 @@ 
    Grouped dataset with partitioning
    
 
    
 
    Split as a sequence
    
 
    To get a sequence of pairs, use split->seq function
    
-
    (-> for-splitting
-    (tc/split->seq :kfold {:partition-selector :partition})
-    (first))
    
+
    (-> for-splitting
+    (tc/split->seq :kfold {:partition-selector :partition})
+    (first))
    
 
    {:train Group: 0 [20 3]:
    
 
@@ -26779,79 +27052,79 @@ 
    Split as a sequence
    
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
@@ -26859,24 +27132,24 @@ 
    Split as a sequence
    
-
+
-
+
-
+
-
+
-
+
-
+
    
 
 
 
 
    146
 :a:g2:g3
 
    
 
    417
 :a:g2:g3
 
    
 
    173
 :a
 :g2
 
    
 
    116
 :a
 :g1
 
    
 
    1611
 :a
 :g2
 
    
 
    151
 :a:g3:g1
 
    
 
    119
 :a:g1:g2
 
    
 
    52
 :a:g3:g2
 
    
 
    1913
 :a
 :g1
 
    
 
    918
 :a
 :g3
 
    
 
    1214
 :a:g1:g2
 
    
 
    1815
 :a:g2:g1
 
    
 
    24
 :a:g3:g2
 
    
 
    80
 :a:g1:g3
 
    
 
    612
 :a:g3:g1
 
    
 
    
 10
 :g3
 
    
 
    2322
 :b:g2:g1
 
    
 
    
 24
 :b:g1:g3
 
    
 
    2023
 :b
 :g1
 
    
 
    2220
 :b:g2:g3
 
    
     
 
    
@@ -26891,38 +27164,38 @@ 
    Split as a sequence
    
 
 
 
-13
+8
 :a
-:g3
+:g1
 
 
 7
 :a
-:g3
+:g1
 
 
-3
+5
 :a
-:g3
+:g1
 
 
-0
+19
 :a
-:g2
+:g1
 
 
 21
 :b
-:g1
+:g2
 
 
 
 
    }
    
-
    (-> for-splitting
-    (tc/group-by :group)
-    (tc/split->seq :bootstrap {:partition-selector :partition :seed 11 :ratio 0.8 :repeats 2})
-    (first))
    
-
    [:g2 ({:train Group: 0 [7 3]:
    
+
    (-> for-splitting
+    (tc/group-by :group)
+    (tc/split->seq :bootstrap {:partition-selector :partition :seed 11 :ratio 0.8 :repeats 2})
+    (first))
    
+
    [:g3 ({:train Group: 0 [6 3]:
    
 
@@ -26933,43 +27206,38 @@ 
    Split as a sequence
    
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
-
-
-
-
-
+
-
+
-
-
+
+
-
+
    
 
 
    
 
    
 
 
    410
 :a:g2:g3
 
    
 
    160
 :a:g2:g3
 
    
 
    06
 :a:g2:g3
 
    
 
    410
 :a:g2:g3
 
    
 
    0:a:g2
    2224
 :b:g2:g3
 
    22
    20
 :b:g2:g3
 
    
     
 
    
-
    , :test Group: 0 [4 3]:
    
+
    , :test Group: 0 [2 3]:
    
 
@@ -26980,28 +27248,18 @@ 
    Split as a sequence
    
-
-
-
-
-
-
+
-
+
-
-
-
-
-
-
+
    
 
 
    
 
    
 
 
    14:a:g2
    
 17
 :a:g2:g3
 
    
 18
 :a:g2
    23:b:g2:g3
 
    
     
 
    
-
    } {:train Group: 1 [7 3]:
    
+
    } {:train Group: 1 [6 3]:
    
 
@@ -27012,43 +27270,38 @@ 
    Split as a sequence
    
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
-
-
-
-
-
+
-
+
-
-
+
+
-
+
    
 
 
    
 
    
 
 
    1710
 :a:g2:g3
 
    
 
    1817
 :a:g2:g3
 
    
 
    1610
 :a:g2:g3
 
    
 
    186
 :a:g2:g3
 
    
 
    0:a:g2
    2224
 :b:g2:g3
 
    22
    20
 :b:g2:g3
 
    
     
 
    
-
    , :test Group: 1 [3 3]:
    
+
    , :test Group: 1 [2 3]:
    
 
@@ -27059,19 +27312,14 @@ 
    Split as a sequence
    
-
+
-
+
-
+
-
-
-
-
-
-
+
    
 
 
    
 
    
 
 
    40
 :a:g2:g3
 
    
 
    1418
 :a:g2
    23:b:g2:g3
 
    
     
 
    
@@ -27118,8 +27366,8 @@ 
    Functions
    
 
    Other examples
    
 
    
 
    Stocks
    
-
    (defonce stocks (tc/dataset "https://raw.githubusercontent.com/techascent/tech.ml.dataset/master/test/data/stocks.csv" {:key-fn keyword}))
    
-
    stocks
    
+
    (defonce stocks (tc/dataset "https://raw.githubusercontent.com/techascent/tech.ml.dataset/master/test/data/stocks.csv" {:key-fn keyword}))
    
+
    stocks
    
 
    https://raw.githubusercontent.com/techascent/tech.ml.dataset/master/test/data/stocks.csv [560 3]:
    
 
@@ -27242,12 +27490,12 @@ 
    Stocks
    
 
 
 
 
    
-
    (-> stocks
-    (tc/group-by (fn [row]
-                    {:symbol (:symbol row)
-                     :year (tech.v3.datatype.datetime/long-temporal-field :years (:date row))}))
-    (tc/aggregate #(tech.v3.datatype.functional/mean (% :price)))
-    (tc/order-by [:symbol :year]))
    
+
    (-> stocks
+    (tc/group-by (fn [row]
+                    {:symbol (:symbol row)
+                     :year (tech.v3.datatype.datetime/long-temporal-field :years (:date row))}))
+    (tc/aggregate #(tech.v3.datatype.functional/mean (% :price)))
+    (tc/order-by [:symbol :year]))
    
 
    _unnamed [51 3]:
    
 
@@ -27370,11 +27618,11 @@ 
    Stocks
    
 
 
 
 
    
-
    (-> stocks
-    (tc/group-by (juxt :symbol #(tech.v3.datatype.datetime/long-temporal-field :years (% :date))))
-    (tc/aggregate #(tech.v3.datatype.functional/mean (% :price)))
-    (tc/rename-columns {:$group-name-0 :symbol
-                         :$group-name-1 :year}))
    
+
    (-> stocks
+    (tc/group-by (juxt :symbol #(tech.v3.datatype.datetime/long-temporal-field :years (% :date))))
+    (tc/aggregate #(tech.v3.datatype.functional/mean (% :price)))
+    (tc/rename-columns {:$group-name-0 :symbol
+                         :$group-name-1 :year}))
    
 
    _unnamed [51 3]:
    
 
@@ -27503,13 +27751,13 @@ 
    data.table
    Below you can find comparizon between functionality of data.table and Clojure dataset API. I leave it without comments, please refer original document explaining details:
    Introduction to data.table
    R
    
-
    library(data.table)
    
-
    data.table 1.14.6 using 8 threads (see ?getDTthreads).  Latest news: r-datatable.com
    
-
    library(knitr)
-
-flights <- fread("https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv")
-
-kable(head(flights))
    
+
    library(data.table)
    
+
    data.table 1.14.8 using 8 threads (see ?getDTthreads).  Latest news: r-datatable.com
    
+
    library(knitr)
+
+flights <- fread("https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv")
+
+kable(head(flights))
    
 
 
 
 
 
    
@@ -27609,12 +27857,12 @@ 
    data.table
    
 
 
    
 
    
 
    
 
    Clojure
    
-
    (require '[tech.v3.datatype.functional :as dfn]
-         '[tech.v3.datatype.argops :as aops]
-         '[tech.v3.datatype :as dtype])
-
-(defonce flights (tc/dataset "https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv"))
    
-
    (tc/head flights 6)
    
+
    (require '[tech.v3.datatype.functional :as dfn]
+         '[tech.v3.datatype.argops :as aops]
+         '[tech.v3.datatype :as dtype])
+
+(defonce flights (tc/dataset "https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv"))
    
+
    (tc/head flights 6)
    
 
    https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 11]:
    
 
@@ -27718,24 +27966,24 @@ 
    Basics
    
 
    Shape of loaded data
    
 
    R
    
-
    dim(flights)
    
+
    dim(flights)
    
 
    [1] 253316     11
    
 
    
 
    Clojure
    
-
    (tc/shape flights)
    
+
    (tc/shape flights)
    
 
    [253316 11]
    
 
    
 
    What is data.table?
    
 
    R
    
-
    DT = data.table(
-  ID = c("b","b","b","a","a","c"),
-  a = 1:6,
-  b = 7:12,
-  c = 13:18
-)
-
-kable(DT)
    
+
    DT = data.table(
+  ID = c("b","b","b","a","a","c"),
+  a = 1:6,
+  b = 7:12,
+  c = 13:18
+)
+
+kable(DT)
    
 
    
 
 
 
    
@@ -27784,15 +28032,15 @@ 
    What is data.table?
    
 
 
    
 
    
 
 
    
-
    class(DT$ID)
    
+
    class(DT$ID)
    
 
    [1] "character"
    
 
    
 
    Clojure
    
-
    (def DT (tc/dataset {:ID ["b" "b" "b" "a" "a" "c"]
-                      :a (range 1 7)
-                      :b (range 7 13)
-                      :c (range 13 19)}))
    
-
    DT
    
+
    (def DT (tc/dataset {:ID ["b" "b" "b" "a" "a" "c"]
+                      :a (range 1 7)
+                      :b (range 7 13)
+                      :c (range 13 19)}))
    
+
    DT
    
 
    _unnamed [6 4]:
    
 
@@ -27842,14 +28090,14 @@ 
    What is data.table?
    
 
 
 
 
    
-
    (-> :ID DT meta :datatype)
    
+
    (-> :ID DT meta :datatype)
    
 
    :string
    
 
    
 
    
 
    Get all the flights with “JFK” as the origin airport in the month of June.
    
 
    R
    
-
    ans <- flights[origin == "JFK" & month == 6L]
-kable(head(ans))
    
+
    ans <- flights[origin == "JFK" & month == 6L]
+kable(head(ans))
    
 
@@ -27949,10 +28197,10 @@ 
    Get all the flights with “JFK” as the origin airport in the month of Jun
 
    
 
 
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
-                                   (= (get row "month") 6))))
-    (tc/head 6))
    
+
    (-> flights
+    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
+                                   (= (get row "month") 6))))
+    (tc/head 6))
    
 
    https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 11]:
    
 
@@ -28055,8 +28303,8 @@ 
    Get all the flights with “JFK” as the origin airport in the month of Jun
 
    
 
    Get the first two rows from flights.
    
 
    R
    
-
    ans <- flights[1:2]
-kable(ans)
    
+
    ans <- flights[1:2]
+kable(ans)
    
 
    
 
    
@@ -28104,7 +28352,7 @@ 
    Get the first two rows from flights.
    
 
 
    
 
    
 
    
 
    Clojure
    
-
    (tc/select-rows flights (range 2))
    
+
    (tc/select-rows flights (range 2))
    
 
    https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [2 11]:
    
 
@@ -28155,8 +28403,8 @@ 
    Get the first two rows from flights.
    
 
    Sort flights first by column origin in ascending order, and then by dest in descending order
    
 
    R
    
-
    ans <- flights[order(origin, -dest)]
-kable(head(ans))
    
+
    ans <- flights[order(origin, -dest)]
+kable(head(ans))
    
 
    
 
 
    
@@ -28256,9 +28504,9 @@ 
    Sort flights first by column origin in ascending o
 
    
 
 
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/order-by ["origin" "dest"] [:asc :desc])
-    (tc/head 6))
    
+
    (-> flights
+    (tc/order-by ["origin" "dest"] [:asc :desc])
+    (tc/head 6))
    
 
    https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 11]:
    
 
@@ -28361,19 +28609,19 @@ 
    Sort flights first by column origin in ascending o
 
    
 
    Select arr_delay column, but return it as a vector
    
 
    R
    
-
    ans <- flights[, arr_delay]
-head(ans)
    
+
    ans <- flights[, arr_delay]
+head(ans)
    
 
    [1]  13  13   9 -26   1   0
    
 
    
 
    Clojure
    
-
    (take 6 (flights "arr_delay"))
    
+
    (take 6 (flights "arr_delay"))
    
 
    (13 13 9 -26 1 0)
    
 
    
 
    
 
    Select arr_delay column, but return as a data.table instead
    
 
    R
    
-
    ans <- flights[, list(arr_delay)]
-kable(head(ans))
    
+
    ans <- flights[, list(arr_delay)]
+kable(head(ans))
    
 
    
 
    
@@ -28403,9 +28651,9 @@ 
    Select arr_delay column, but return as a data.table instead
    Clojure
    
-
    (-> flights
-    (tc/select-columns "arr_delay")
-    (tc/head 6))
    
+
    (-> flights
+    (tc/select-columns "arr_delay")
+    (tc/head 6))
    https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 1]:
    
 
 
    
 
 
 
 
    
@@ -28438,8 +28686,8 @@ 
    Select arr_delay column, but return as a data.table instead
    Select both arr_delay and dep_delay columns
    R
    
-
    ans <- flights[, .(arr_delay, dep_delay)]
-kable(head(ans))
    
+
    ans <- flights[, .(arr_delay, dep_delay)]
+kable(head(ans))
    
 
 
 
 
    
@@ -28476,9 +28724,9 @@ 
    Select both arr_delay and dep_delay columns
    
 
 
    
 
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/select-columns ["arr_delay" "dep_delay"])
-    (tc/head 6))
    
+
    (-> flights
+    (tc/select-columns ["arr_delay" "dep_delay"])
+    (tc/head 6))
    
 
    https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 2]:
    
 
@@ -28518,8 +28766,8 @@ 
    Select both arr_delay and dep_delay columns
    
 
    Select both arr_delay and dep_delay columns and rename them to delay_arr and delay_dep
    
 
    R
    
-
    ans <- flights[, .(delay_arr = arr_delay, delay_dep = dep_delay)]
-kable(head(ans))
    
+
    ans <- flights[, .(delay_arr = arr_delay, delay_dep = dep_delay)]
+kable(head(ans))
    
 
    
 
 
    
@@ -28556,10 +28804,10 @@ 
    Select both arr_delay and dep_delay columns and re
 
    
 
 
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/select-columns {"arr_delay" "delay_arr"
-                         "dep_delay" "delay_arr"})
-    (tc/head 6))
    
+
    (-> flights
+    (tc/select-columns {"arr_delay" "delay_arr"
+                         "dep_delay" "delay_arr"})
+    (tc/head 6))
    
 
    https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 2]:
    
 
@@ -28599,27 +28847,27 @@ 
    Select both arr_delay and dep_delay columns and re
 
    
 
    How many trips have had total delay < 0?
    
 
    R
    
-
    ans <- flights[, sum( (arr_delay + dep_delay) < 0 )]
-ans
    
+
    ans <- flights[, sum( (arr_delay + dep_delay) < 0 )]
+ans
    
 
    [1] 141814
    
 
    
 
    Clojure
    
-
    (->> (dfn/+ (flights "arr_delay") (flights "dep_delay"))
-     (aops/argfilter #(< % 0.0))
-     (dtype/ecount))
    
+
    (->> (dfn/+ (flights "arr_delay") (flights "dep_delay"))
+     (aops/argfilter #(< % 0.0))
+     (dtype/ecount))
    
 
    141814
    
 
    or pure Clojure functions (much, much slower)
    
-
    (->> (map + (flights "arr_delay") (flights "dep_delay"))
-     (filter neg?)
-     (count))
    
+
    (->> (map + (flights "arr_delay") (flights "dep_delay"))
+     (filter neg?)
+     (count))
    
 
    141814
    
 
    
 
    
 
    Calculate the average arrival and departure delay for all flights with “JFK” as the origin airport in the month of June
    
 
    R
    
-
    ans <- flights[origin == "JFK" & month == 6L,
-               .(m_arr = mean(arr_delay), m_dep = mean(dep_delay))]
-kable(ans)
    
+
    ans <- flights[origin == "JFK" & month == 6L,
+               .(m_arr = mean(arr_delay), m_dep = mean(dep_delay))]
+kable(ans)
    
 
    
 
    
@@ -28636,11 +28884,11 @@ 
    Calculate the average arrival and departure delay for all flights with “JF
 
    
 
 
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
-                                   (= (get row "month") 6))))
-    (tc/aggregate {:m_arr #(dfn/mean (% "arr_delay"))
-                    :m_dep #(dfn/mean (% "dep_delay"))}))
    
+
    (-> flights
+    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
+                                   (= (get row "month") 6))))
+    (tc/aggregate {:m_arr #(dfn/mean (% "arr_delay"))
+                    :m_dep #(dfn/mean (% "dep_delay"))}))
    
 
    _unnamed [1 2]:
    
 
@@ -28660,26 +28908,26 @@ 
    Calculate the average arrival and departure delay for all flights with “JF
 
    
 
    How many trips have been made in 2014 from “JFK” airport in the month of June?
    
 
    R
    
-
    ans <- flights[origin == "JFK" & month == 6L, length(dest)]
-ans
    
+
    ans <- flights[origin == "JFK" & month == 6L, length(dest)]
+ans
    
 
    [1] 8422
    
 
    or
    
-
    ans <- flights[origin == "JFK" & month == 6L, .N]
-ans
    
+
    ans <- flights[origin == "JFK" & month == 6L, .N]
+ans
    
 
    [1] 8422
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
-                                   (= (get row "month") 6))))
-    (tc/row-count))
    
+
    (-> flights
+    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
+                                   (= (get row "month") 6))))
+    (tc/row-count))
    
 
    8422
    
 
    
 
    
 
    deselect columns using - or !
    
 
    R
    
-
    ans <- flights[, !c("arr_delay", "dep_delay")]
-kable(head(ans))
    
+
    ans <- flights[, !c("arr_delay", "dep_delay")]
+kable(head(ans))
    
 
    
 
    
@@ -28764,8 +29012,8 @@ 
    deselect columns using - or !
    
 
 
    
 
 
    
 
    or
    
-
    ans <- flights[, -c("arr_delay", "dep_delay")]
-kable(head(ans))
    
+
    ans <- flights[, -c("arr_delay", "dep_delay")]
+kable(head(ans))
    
 
@@ -28851,9 +29099,9 @@ 
    deselect columns using - or !
    
 
 
    
 
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/select-columns (complement #{"arr_delay" "dep_delay"}))
-    (tc/head 6))
    
+
    (-> flights
+    (tc/select-columns (complement #{"arr_delay" "dep_delay"}))
+    (tc/head 6))
    
 
    https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 9]:
    
 
@@ -28945,8 +29193,8 @@ 
    Aggregations
    
 
    How can we get the number of trips corresponding to each origin airport?
    
 
    R
    
-
    ans <- flights[, .(.N), by = .(origin)]
-kable(ans)
    
+
    ans <- flights[, .(.N), by = .(origin)]
+kable(ans)
    
 
    
 
 
    
@@ -28971,9 +29219,9 @@ 
    How can we get the number of trips corresponding to each origin airport?
    Clojure
    
-
    (-> flights
-    (tc/group-by ["origin"])
-    (tc/aggregate {:N tc/row-count}))
    
+
    (-> flights
+    (tc/group-by ["origin"])
+    (tc/aggregate {:N tc/row-count}))
    _unnamed [3 2]:
    
 
 
    
 
 
 
 
    
@@ -29001,8 +29249,8 @@ 
    How can we get the number of trips corresponding to each origin airport?
    How can we calculate the number of trips for each origin airport for carrier code “AA”?
    R
    
-
    ans <- flights[carrier == "AA", .N, by = origin]
-kable(ans)
    
+
    ans <- flights[carrier == "AA", .N, by = origin]
+kable(ans)
    
 
 
 
 
    
@@ -29027,10 +29275,10 @@ 
    How can we calculate the number of trips for each origin airport for carrier
 
    
 
 
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/select-rows #(= (get % "carrier") "AA"))
-    (tc/group-by ["origin"])
-    (tc/aggregate {:N tc/row-count}))
    
+
    (-> flights
+    (tc/select-rows #(= (get % "carrier") "AA"))
+    (tc/group-by ["origin"])
+    (tc/aggregate {:N tc/row-count}))
    
 
    _unnamed [3 2]:
    
 
@@ -29058,8 +29306,8 @@ 
    How can we calculate the number of trips for each origin airport for carrier
 
    
 
    How can we get the total number of trips for each origin, dest pair for carrier code “AA”?
    
 
    R
    
-
    ans <- flights[carrier == "AA", .N, by = .(origin, dest)]
-kable(head(ans))
    
+
    ans <- flights[carrier == "AA", .N, by = .(origin, dest)]
+kable(head(ans))
    
 
    
 
    
@@ -29103,11 +29351,11 @@ 
    How can we get the total number of trips for each origin, 
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/select-rows #(= (get % "carrier") "AA"))
-    (tc/group-by ["origin" "dest"])
-    (tc/aggregate {:N tc/row-count})
-    (tc/head 6))
    
+
    (-> flights
+    (tc/select-rows #(= (get % "carrier") "AA"))
+    (tc/group-by ["origin" "dest"])
+    (tc/aggregate {:N tc/row-count})
+    (tc/head 6))
    
 
    _unnamed [6 3]:
    
 
    
 
 
    
@@ -29154,10 +29402,10 @@ 
    How can we get the total number of trips for each origin, 
 
    How can we get the average arrival and departure delay for each orig,dest pair for each month for carrier code “AA”?
    
 
    R
    
-
    ans <- flights[carrier == "AA",
-        .(mean(arr_delay), mean(dep_delay)),
-        by = .(origin, dest, month)]
-kable(head(ans,10))
    
+
    ans <- flights[carrier == "AA",
+        .(mean(arr_delay), mean(dep_delay)),
+        by = .(origin, dest, month)]
+kable(head(ans,10))
    
 
    
 
    
@@ -29243,12 +29491,12 @@ 
    How can we get the average arrival and departure delay for each orig
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/select-rows #(= (get % "carrier") "AA"))
-    (tc/group-by ["origin" "dest" "month"])
-    (tc/aggregate [#(dfn/mean (% "arr_delay"))
-                    #(dfn/mean (% "dep_delay"))])
-    (tc/head 10))
    
+
    (-> flights
+    (tc/select-rows #(= (get % "carrier") "AA"))
+    (tc/group-by ["origin" "dest" "month"])
+    (tc/aggregate [#(dfn/mean (% "arr_delay"))
+                    #(dfn/mean (% "dep_delay"))])
+    (tc/head 10))
    
 
    _unnamed [10 5]:
    
 
    
 
 
    
@@ -29337,10 +29585,10 @@ 
    How can we get the average arrival and departure delay for each orig
 
    So how can we directly order by all the grouping variables?
    
 
    R
    
-
    ans <- flights[carrier == "AA",
-        .(mean(arr_delay), mean(dep_delay)),
-        keyby = .(origin, dest, month)]
-kable(head(ans,10))
    
+
    ans <- flights[carrier == "AA",
+        .(mean(arr_delay), mean(dep_delay)),
+        keyby = .(origin, dest, month)]
+kable(head(ans,10))
    
 
    
 
    
@@ -29426,13 +29674,13 @@ 
    So how can we directly order by all the grouping variables?
    
 
    
 
 
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/select-rows #(= (get % "carrier") "AA"))
-    (tc/group-by ["origin" "dest" "month"])
-    (tc/aggregate [#(dfn/mean (% "arr_delay"))
-                    #(dfn/mean (% "dep_delay"))])
-    (tc/order-by ["origin" "dest" "month"])
-    (tc/head 10))
    
+
    (-> flights
+    (tc/select-rows #(= (get % "carrier") "AA"))
+    (tc/group-by ["origin" "dest" "month"])
+    (tc/aggregate [#(dfn/mean (% "arr_delay"))
+                    #(dfn/mean (% "dep_delay"))])
+    (tc/order-by ["origin" "dest" "month"])
+    (tc/head 10))
    
 
    _unnamed [10 5]:
    
 
@@ -29521,8 +29769,8 @@ 
    So how can we directly order by all the grouping variables?
    
 
    Can by accept expressions as well or does it just take columns?
    
 
    R
    
-
    ans <- flights[, .N, .(dep_delay>0, arr_delay>0)]
-kable(ans)
    
+
    ans <- flights[, .N, .(dep_delay>0, arr_delay>0)]
+kable(ans)
    
 
    
 
 
    
@@ -29556,11 +29804,11 @@ 
    Can by accept expressions as well or does it just take columns?
 
    
 
 
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/group-by (fn [row]
-                    {:dep_delay (pos? (get row "dep_delay"))
-                     :arr_delay (pos? (get row "arr_delay"))}))
-    (tc/aggregate {:N tc/row-count}))
    
+
    (-> flights
+    (tc/group-by (fn [row]
+                    {:dep_delay (pos? (get row "dep_delay"))
+                     :arr_delay (pos? (get row "arr_delay"))}))
+    (tc/aggregate {:N tc/row-count}))
    
 
    _unnamed [4 3]:
    
 
@@ -29597,7 +29845,7 @@ 
    Can by accept expressions as well or does it just take columns?
 
    
 
    Do we have to compute mean() for each column individually?
    
 
    R
    
-
    kable(DT)
    
+
    kable(DT)
    
 
    
 
    
@@ -29646,7 +29894,7 @@ 
    Do we have to compute mean() for each column individually?
    
 
 
    
 
    
 
 
    
-
    DT[, print(.SD), by = ID]
    
+
    DT[, print(.SD), by = ID]
    
 
       a b  c
 1: 1 7 13
 2: 2 8 14
@@ -29657,7 +29905,7 @@ 
    Do we have to compute mean() for each column individually?
    
    a  b  c
 1: 6 12 18
    
 
    Empty data.table (0 rows and 1 cols): ID
    
-
    kable(DT[, lapply(.SD, mean), by = ID])
    
+
    kable(DT[, lapply(.SD, mean), by = ID])
    
 
@@ -29690,9 +29938,9 @@ 
    Do we have to compute mean() for each column individually?
    
 
 
    
 
    
 
    
 
    Clojure
    
-
    DT
-
-(tc/group-by DT :ID {:result-type :as-map})
    
+
    DT
+
+(tc/group-by DT :ID {:result-type :as-map})
    
 
    _unnamed [6 4]:
    
 
@@ -29818,9 +30066,9 @@ 
    Do we have to compute mean() for each column individually?
    
 
 
 
    
 
    }
    
-
    (-> DT
-    (tc/group-by [:ID])
-    (tc/aggregate-columns (complement #{:ID}) dfn/mean))
    
+
    (-> DT
+    (tc/group-by [:ID])
+    (tc/aggregate-columns (complement #{:ID}) dfn/mean))
    
 
    _unnamed [3 4]:
    
 
@@ -29856,10 +30104,10 @@ 
    Do we have to compute mean() for each column individually?
    
 
    How can we specify just the columns we would like to compute the mean() on?
    
 
    R
    
-
    kable(head(flights[carrier == "AA",                         ## Only on trips with carrier "AA"
-                   lapply(.SD, mean),                       ## compute the mean
-                   by = .(origin, dest, month),             ## for every 'origin,dest,month'
-                   .SDcols = c("arr_delay", "dep_delay")])) ## for just those specified in .SDcols
    
+
    kable(head(flights[carrier == "AA",                         ## Only on trips with carrier "AA"
+                   lapply(.SD, mean),                       ## compute the mean
+                   by = .(origin, dest, month),             ## for every 'origin,dest,month'
+                   .SDcols = c("arr_delay", "dep_delay")])) ## for just those specified in .SDcols
    
 
    
 
 
    
@@ -29917,11 +30165,11 @@ 
    How can we specify just the columns we would like to compute the mean(
 
    
 
 
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/select-rows #(= (get % "carrier") "AA"))
-    (tc/group-by ["origin" "dest" "month"])
-    (tc/aggregate-columns ["arr_delay" "dep_delay"] dfn/mean)
-    (tc/head 6))
    
+
    (-> flights
+    (tc/select-rows #(= (get % "carrier") "AA"))
+    (tc/group-by ["origin" "dest" "month"])
+    (tc/aggregate-columns ["arr_delay" "dep_delay"] dfn/mean)
+    (tc/head 6))
    
 
    _unnamed [6 5]:
    
 
@@ -29982,8 +30230,8 @@ 
    How can we specify just the columns we would like to compute the mean(
 
    
 
    How can we return the first two rows for each month?
    
 
    R
    
-
    ans <- flights[, head(.SD, 2), by = month]
-kable(head(ans))
    
+
    ans <- flights[, head(.SD, 2), by = month]
+kable(head(ans))
    
 
    
 
    
@@ -30083,11 +30331,11 @@ 
    How can we return the first two rows for each month?
    
 
    
 
 
    
 
    
 
    Clojure
    
-
    (-> flights
-    (tc/group-by ["month"])
-    (tc/head 2) ;; head applied on each group
-    (tc/ungroup)
-    (tc/head 6))
    
+
    (-> flights
+    (tc/group-by ["month"])
+    (tc/head 2) ;; head applied on each group
+    (tc/ungroup)
+    (tc/head 6))
    
 
    _unnamed [6 11]:
    
 
@@ -30190,7 +30438,7 @@ 
    How can we return the first two rows for each month?
    
 
    How can we concatenate columns a and b for each group in ID?
    
 
    R
    
-
    kable(DT[, .(val = c(a,b)), by = ID])
    
+
    kable(DT[, .(val = c(a,b)), by = ID])
    
 
    
 
 
    
@@ -30251,9 +30499,9 @@ 
    How can we concatenate columns a and b for each group in ID?
    
 
 
    
 
    
 
    
 
    Clojure
    
-
    (-> DT
-    (tc/pivot->longer [:a :b] {:value-column-name :val})
-    (tc/drop-columns [:$column :c]))
    
+
    (-> DT
+    (tc/pivot->longer [:a :b] {:value-column-name :val})
+    (tc/drop-columns [:$column :c]))
    
 
    _unnamed [12 2]:
    
 
@@ -30317,7 +30565,7 @@ 
    How can we concatenate columns a and b for each group in ID?
    
 
    What if we would like to have all the values of column a and b concatenated, but returned as a list column?
    
 
    R
    
-
    kable(DT[, .(val = list(c(a,b))), by = ID])
    
+
    kable(DT[, .(val = list(c(a,b))), by = ID])
    
 
    
 
 
    
@@ -30342,10 +30590,10 @@ 
    What if we would like to have all the values of column a and 
 
    
 
    Clojure
    
-
    (-> DT
-    (tc/pivot->longer [:a :b] {:value-column-name :val})
-    (tc/drop-columns [:$column :c])
-    (tc/fold-by :ID))
    
+
    (-> DT
+    (tc/pivot->longer [:a :b] {:value-column-name :val})
+    (tc/drop-columns [:$column :c])
+    (tc/fold-by :ID))
    
 
    _unnamed [3 2]:
    
 
    
 
 
    
@@ -30377,15 +30625,15 @@ 
    API tour
    Below snippets are taken from A data.table and dplyr tour written by Atrebas (permission granted).
    I keep structure and subtitles but I skip data.table and dplyr examples.
    Example data
    
-
    (def DS (tc/dataset {:V1 (take 9 (cycle [1 2]))
-                      :V2 (range 1 10)
-                      :V3 (take 9 (cycle [0.5 1.0 1.5]))
-                      :V4 (take 9 (cycle ["A" "B" "C"]))}))
    
-
    (tc/dataset? DS)
-(class DS)
    
+
    (def DS (tc/dataset {:V1 (take 9 (cycle [1 2]))
+                      :V2 (range 1 10)
+                      :V3 (take 9 (cycle [0.5 1.0 1.5]))
+                      :V4 (take 9 (cycle ["A" "B" "C"]))}))
    
+
    (tc/dataset? DS)
+(class DS)
    true
 tech.v3.dataset.impl.dataset.Dataset
    
-
    DS
    
+
    DS
    _unnamed [9 4]:
    
 
 
 
 
 
 
 
    
@@ -30458,7 +30706,7 @@ 
    Basic Operations
    
 
    Filter rows
    
 
    Filter rows using indices
    
-
    (tc/select-rows DS [2 3])
    
+
    (tc/select-rows DS [2 3])
    
 
    _unnamed [2 4]:
    
 
    
 
 
    
@@ -30487,7 +30735,47 @@ 
    Filter rows
    Discard rows using negative indices
    In Clojure API we have separate function for that: drop-rows.
    
-
    (tc/drop-rows DS (range 2 7))
    
+
    (tc/drop-rows DS (range 2 7))
    
+
    _unnamed [4 4]:
    
+
    
 
 
 
 
    
+
+
+
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+
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+
+
+
+
    :V1:V2:V3:V4
    110.5A
    221.0B
    281.0B
    191.5C
    
+
    
+
    Filter rows using a logical expression
    
+
    (tc/select-rows DS (comp #(> % 5) :V2))
    
 
    _unnamed [4 4]:
    
 
@@ -30500,6 +30788,193 @@ 
    Filter rows
    
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
    
 
 
 
 
    261.5C
    170.5A
    281.0B
    191.5C
    
+
    (tc/select-rows DS (comp #{"A" "C"} :V4))
    
+
    _unnamed [6 4]:
    
+
+
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    :V1:V2:V3:V4
    110.5A
    131.5C
    240.5A
    261.5C
    170.5A
    191.5C
    
+
    
+
    Filter rows using multiple conditions
    
+
    (tc/select-rows DS #(and (= (:V1 %) 1)
+                          (= (:V4 %) "A")))
    
+
    _unnamed [2 4]:
    
+
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+
    :V1:V2:V3:V4
    110.5A
    170.5A
    
+
    
+
    Filter unique rows
    
+
    (tc/unique-by DS)
    
+
    _unnamed [9 4]:
    
+
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    :V1:V2:V3:V4
    110.5A
    221.0B
    131.5C
    240.5A
    151.0B
    261.5C
    170.5A
    281.0B
    191.5C
    
+
    (tc/unique-by DS [:V1 :V4])
    
+
    _unnamed [6 4]:
    
+
+
+
+
+
+
+
+
+
+
+
@@ -30512,141 +30987,34 @@ 
    Filter rows
    
-
-
-
-
-
-
-
-
-
-
-
-
    :V1:V2:V3:V4
    
 1
 1
 0.5
 B
 
    
 
    281.0B
    
 191.5C
    
-
    
-
    Filter rows using a logical expression
    
-
    (tc/select-rows DS (comp #(> % 5) :V2))
    
-
    _unnamed [4 4]:
    
-
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    :V1:V2:V3:V4
    263
 1.5
 C
 
    
 
    1724
 0.5
 A
 
    
 
    2815
 1.0
 B
 
    
 
    191.5C
    
-
    (tc/select-rows DS (comp #{"A" "C"} :V4))
    
-
    _unnamed [6 4]:
    
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    :V1:V2:V3:V4
    110.5A
    131.5C
    240.5A
    
 2
 6
 1.5
 C
 
    170.5A
    191.5C
    
-
    
-
    Filter rows using multiple conditions
    
-
    (tc/select-rows DS #(and (= (:V1 %) 1)
-                          (= (:V4 %) "A")))
    
-
    _unnamed [2 4]:
    
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    :V1:V2:V3:V4
    110.5A
    170.5A
    
     
 
    
 
    
-
    Filter unique rows
    
-
    (tc/unique-by DS)
    
+
    Discard rows with missing values
    
+
    (tc/drop-missing DS)
    
 
    _unnamed [9 4]:
    
 
@@ -30714,8 +31082,10 @@ 
    Filter rows
    
 
 
 
 
    
-
    (tc/unique-by DS [:V1 :V4])
    
-
    _unnamed [6 4]:
    
+
    
+
    Other filters
    
+
    (tc/random DS 3) ;; 3 random rows
    
+
    _unnamed [3 4]:
    
 
@@ -30728,46 +31098,26 @@ 
    Filter rows
    
-
-
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+
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+
    
 
 
    
 
    
 
    
 110.5A
    221.0B
    139
 1.5
 C
 
    
 
    2417
 0.5
 A
 
    
 
    
 151.0B
    263
 1.5
 C
 
    
     
 
    
-
    
-
    Discard rows with missing values
    
-
    (tc/drop-missing DS)
    
-
    _unnamed [9 4]:
    
+
    (tc/random DS (/ (tc/row-count DS) 2)) ;; fraction of random rows
    
+
    _unnamed [5 4]:
    
 
@@ -30786,133 +31136,31 @@ 
    Filter rows
    
-
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 221.0B
    131.5C
    240.5A
    151.0B
    2
 6
 1.5
 C
 
    
 
    170.5A
    
 282
 1.0
 B
 
    
 1
 9
 1.5
 C
 
    
-
    
-
    Other filters
    
-
    (tc/random DS 3) ;; 3 random rows
    
-
    _unnamed [3 4]:
    
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    :V1:V2:V3:V4
    
 
    
 191.5C
    
 151.0B
    24
 0.5
 A
 
    
     
 
    
-
    (tc/random DS (/ (tc/row-count DS) 2)) ;; fraction of random rows
    
-
    _unnamed [5 4]:
    
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    :V1:V2:V3:V4
    261.5C
    151.0B
    151.0B
    191.5C
    151.0B
    
-
    (tc/by-rank DS :V1 zero?) ;; take top n entries
    
+
    (tc/by-rank DS :V1 zero?) ;; take top n entries
    
 
    _unnamed [4 4]:
    
 
@@ -30952,7 +31200,7 @@ 
    Filter rows
    
 
 
    
 
    
 
    Convenience functions
    
-
    (tc/select-rows DS (comp (partial re-matches #"^B") str :V4))
    
+
    (tc/select-rows DS (comp (partial re-matches #"^B") str :V4))
    
 
    _unnamed [3 4]:
    
 
@@ -30984,7 +31232,7 @@ 
    Filter rows
    
 
 
 
 
    
-
    (tc/select-rows DS (comp #(<= 3 % 5) :V2))
    
+
    (tc/select-rows DS (comp #(<= 3 % 5) :V2))
    
 
    _unnamed [3 4]:
    
 
@@ -31016,7 +31264,7 @@ 
    Filter rows
    
 
 
 
 
    
-
    (tc/select-rows DS (comp #(< 3 % 5) :V2))
    
+
    (tc/select-rows DS (comp #(< 3 % 5) :V2))
    
 
    _unnamed [1 4]:
    
 
@@ -31036,7 +31284,7 @@ 
    Filter rows
    
 
 
 
 
    
-
    (tc/select-rows DS (comp #(<= 3 % 5) :V2))
    
+
    (tc/select-rows DS (comp #(<= 3 % 5) :V2))
    
 
    _unnamed [3 4]:
    
 
@@ -31073,7 +31321,7 @@ 
    Filter rows
    
 
    Sort rows
    
 
    Sort rows by column
    
-
    (tc/order-by DS :V3)
    
+
    (tc/order-by DS :V3)
    
 
    _unnamed [9 4]:
    
 
    
 
 
    
@@ -31143,7 +31391,7 @@ 
    Sort rows
    
 
 
    
 
    
 
    Sort rows in decreasing order
    
-
    (tc/order-by DS :V3 :desc)
    
+
    (tc/order-by DS :V3 :desc)
    
 
    _unnamed [9 4]:
    
 
@@ -31213,7 +31461,7 @@ 
    Sort rows
    
 
 
    
 
    
 
    Sort rows based on several columns
    
-
    (tc/order-by DS [:V1 :V2] [:asc :desc])
    
+
    (tc/order-by DS [:V1 :V2] [:asc :desc])
    
 
    _unnamed [9 4]:
    
 
@@ -31285,11 +31533,11 @@ 
    Sort rows
    
 
    Select columns
    
 
    Select one column using an index (not recommended)
    
-
    (nth (tc/columns DS :as-seq) 2) ;; as column (iterable)
    
+
    (nth (tc/columns DS :as-seq) 2) ;; as column (iterable)
    
 
    #tech.v3.dataset.column<float64>[9]
 :V3
 [0.5000, 1.000, 1.500, 0.5000, 1.000, 1.500, 0.5000, 1.000, 1.500]
    
-
    (tc/dataset [(nth (tc/columns DS :as-seq) 2)])
    
+
    (tc/dataset [(nth (tc/columns DS :as-seq) 2)])
    
 
    _unnamed [9 1]:
    
 
    
 
 
    
@@ -31329,7 +31577,7 @@ 
    Select columns
    
 
 
    
 
    
 
    Select one column using column name
    
-
    (tc/select-columns DS :V2) ;; as dataset
    
+
    (tc/select-columns DS :V2) ;; as dataset
    
 
    _unnamed [9 1]:
    
 
@@ -31367,7 +31615,7 @@ 
    Select columns
    
 
 
 
 
    
-
    (tc/select-columns DS [:V2]) ;; as dataset
    
+
    (tc/select-columns DS [:V2]) ;; as dataset
    
 
    _unnamed [9 1]:
    
 
@@ -31405,13 +31653,13 @@ 
    Select columns
    
 
 
 
 
    
-
    (DS :V2) ;; as column (iterable)
    
+
    (DS :V2) ;; as column (iterable)
    
 
    #tech.v3.dataset.column<int64>[9]
 :V2
 [1, 2, 3, 4, 5, 6, 7, 8, 9]
    
 
    
 
    Select several columns
    
-
    (tc/select-columns DS [:V2 :V3 :V4])
    
+
    (tc/select-columns DS [:V2 :V3 :V4])
    
 
    _unnamed [9 3]:
    
 
@@ -31471,7 +31719,7 @@ 
    Select columns
    
 
 
    
 
    
 
    Exclude columns
    
-
    (tc/select-columns DS (complement #{:V2 :V3 :V4}))
    
+
    (tc/select-columns DS (complement #{:V2 :V3 :V4}))
    
 
    _unnamed [9 1]:
    
 
@@ -31509,7 +31757,7 @@ 
    Select columns
    
 
 
 
 
    
-
    (tc/drop-columns DS [:V2 :V3 :V4])
    
+
    (tc/drop-columns DS [:V2 :V3 :V4])
    
 
    _unnamed [9 1]:
    
 
@@ -31549,9 +31797,9 @@ 
    Select columns
    
 
 
    
 
    
 
    Other seletions
    
-
    (->> (range 1 3)
-     (map (comp keyword (partial format "V%d")))
-     (tc/select-columns DS))
    
+
    (->> (range 1 3)
+     (map (comp keyword (partial format "V%d")))
+     (tc/select-columns DS))
    
 
    _unnamed [9 2]:
    
 
@@ -31599,7 +31847,7 @@ 
    Select columns
    
 
 
 
 
    
-
    (tc/reorder-columns DS :V4)
    
+
    (tc/reorder-columns DS :V4)
    
 
    _unnamed [9 4]:
    
 
@@ -31667,7 +31915,7 @@ 
    Select columns
    
 
 
 
 
    
-
    (tc/select-columns DS #(clojure.string/starts-with? (name %) "V"))
    
+
    (tc/select-columns DS #(clojure.string/starts-with? (name %) "V"))
    
 
    _unnamed [9 4]:
    
 
@@ -31735,7 +31983,7 @@ 
    Select columns
    
 
 
 
 
    
-
    (tc/select-columns DS #(clojure.string/ends-with? (name %) "3"))
    
+
    (tc/select-columns DS #(clojure.string/ends-with? (name %) "3"))
    
 
    _unnamed [9 1]:
    
 
@@ -31773,7 +32021,7 @@ 
    Select columns
    
 
 
 
 
    
-
    (tc/select-columns DS #"..2") ;; regex converts to string using `str` function
    
+
    (tc/select-columns DS #"..2") ;; regex converts to string using `str` function
    
 
    _unnamed [9 1]:
    
 
@@ -31811,7 +32059,7 @@ 
    Select columns
    
 
 
 
 
    
-
    (tc/select-columns DS #{:V1 "X"})
    
+
    (tc/select-columns DS #{:V1 "X"})
    
 
    _unnamed [9 1]:
    
 
@@ -31849,7 +32097,7 @@ 
    Select columns
    
 
 
 
 
    
-
    (tc/select-columns DS #(not (clojure.string/starts-with? (name %) "V2")))
    
+
    (tc/select-columns DS #(not (clojure.string/starts-with? (name %) "V2")))
    
 
    _unnamed [9 3]:
    
 
@@ -31911,9 +32159,9 @@ 
    Select columns
    
 
    Summarise data
    
 
    Summarise one column
    
-
    (reduce + (DS :V1)) ;; using pure Clojure, as value
    
+
    (reduce + (DS :V1)) ;; using pure Clojure, as value
    
 
    13
    
-
    (tc/aggregate-columns DS :V1 dfn/sum) ;; as dataset
    
+
    (tc/aggregate-columns DS :V1 dfn/sum) ;; as dataset
    
 
    _unnamed [1 1]:
    
 
    
 
 
    
@@ -31927,7 +32175,7 @@ 
    Summarise data
    
 
 
 
 
    
-
    (tc/aggregate DS {:sumV1 #(dfn/sum (% :V1))})
    
+
    (tc/aggregate DS {:sumV1 #(dfn/sum (% :V1))})
    
 
    _unnamed [1 1]:
    
 
@@ -31943,8 +32191,8 @@ 
    Summarise data
    
 
 
    
 
    
 
    Summarize several columns
    
-
    (tc/aggregate DS [#(dfn/sum (% :V1))
-                   #(dfn/standard-deviation (% :V3))])
    
+
    (tc/aggregate DS [#(dfn/sum (% :V1))
+                   #(dfn/standard-deviation (% :V3))])
    
 
    _unnamed [1 2]:
    
 
@@ -31960,8 +32208,8 @@ 
    Summarise data
    
 
 
 
 
    
-
    (tc/aggregate-columns DS [:V1 :V3] [dfn/sum
-                                     dfn/standard-deviation])
    
+
    (tc/aggregate-columns DS [:V1 :V3] [dfn/sum
+                                     dfn/standard-deviation])
    
 
    _unnamed [1 2]:
    
 
@@ -31979,8 +32227,8 @@ 
    Summarise data
    
 
 
    
 
    
 
    Summarise several columns and assign column names
    
-
    (tc/aggregate DS {:sumv1 #(dfn/sum (% :V1))
-                   :sdv3 #(dfn/standard-deviation (% :V3))})
    
+
    (tc/aggregate DS {:sumv1 #(dfn/sum (% :V1))
+                   :sdv3 #(dfn/standard-deviation (% :V3))})
    
 
    _unnamed [1 2]:
    
 
@@ -31998,9 +32246,9 @@ 
    Summarise data
    
 
 
    
 
    
 
    Summarise a subset of rows
    
-
    (-> DS
-    (tc/select-rows (range 4))
-    (tc/aggregate-columns :V1 dfn/sum))
    
+
    (-> DS
+    (tc/select-rows (range 4))
+    (tc/aggregate-columns :V1 dfn/sum))
    
 
    _unnamed [1 1]:
    
 
@@ -32017,9 +32265,9 @@ 
    Summarise data
    
 
    Additional helpers
    
-
    (-> DS
-    (tc/first)
-    (tc/select-columns :V3)) ;; select first row from `:V3` column
    
+
    (-> DS
+    (tc/first)
+    (tc/select-columns :V3)) ;; select first row from `:V3` column
    
 
    _unnamed [1 1]:
    
 
    
 
 
 
    
@@ -32033,9 +32281,9 @@ 
    Additional helpers
    
 
 
 
 
    
-
    (-> DS
-    (tc/last)
-    (tc/select-columns :V3)) ;; select last row from `:V3` column
    
+
    (-> DS
+    (tc/last)
+    (tc/select-columns :V3)) ;; select last row from `:V3` column
    
 
    _unnamed [1 1]:
    
 
@@ -32049,9 +32297,9 @@ 
    Additional helpers
    
 
 
 
 
    
-
    (-> DS
-    (tc/select-rows 4)
-    (tc/select-columns :V3)) ;; select forth row from `:V3` column
    
+
    (-> DS
+    (tc/select-rows 4)
+    (tc/select-columns :V3)) ;; select forth row from `:V3` column
    
 
    _unnamed [1 1]:
    
 
@@ -32065,8 +32313,8 @@ 
    Additional helpers
    
 
 
 
 
    
-
    (-> DS
-    (tc/select :V3 4)) ;; select forth row from `:V3` column
    
+
    (-> DS
+    (tc/select :V3 4)) ;; select forth row from `:V3` column
    
 
    _unnamed [1 1]:
    
 
@@ -32080,9 +32328,9 @@ 
    Additional helpers
    
 
 
 
 
    
-
    (-> DS
-    (tc/unique-by :V4)
-    (tc/aggregate tc/row-count)) ;; number of unique rows in `:V4` column, as dataset
    
+
    (-> DS
+    (tc/unique-by :V4)
+    (tc/aggregate tc/row-count)) ;; number of unique rows in `:V4` column, as dataset
    
 
    _unnamed [1 1]:
    
 
@@ -32096,19 +32344,19 @@ 
    Additional helpers
    
 
 
 
 
    
-
    (-> DS
-    (tc/unique-by :V4)
-    (tc/row-count)) ;; number of unique rows in `:V4` column, as value
    
+
    (-> DS
+    (tc/unique-by :V4)
+    (tc/row-count)) ;; number of unique rows in `:V4` column, as value
    
 
    3
    
-
    (-> DS
-    (tc/unique-by)
-    (tc/row-count)) ;; number of unique rows in dataset, as value
    
+
    (-> DS
+    (tc/unique-by)
+    (tc/row-count)) ;; number of unique rows in dataset, as value
    
 
    9
    
 
    
 
    
 
    Add/update/delete columns
    
 
    Modify a column
    
-
    (tc/map-columns DS :V1 [:V1] #(dfn/pow % 2))
    
+
    (tc/map-columns DS :V1 [:V1] #(dfn/pow % 2))
    
 
    _unnamed [9 4]:
    
 
@@ -32176,8 +32424,8 @@ 
    Add/update/delete columns
    
 
 
 
 
    
-
    (def DS (tc/add-column DS :V1 (dfn/pow (DS :V1) 2)))
    
-
    DS
    
+
    (def DS (tc/add-column DS :V1 (dfn/pow (DS :V1) 2)))
    
+
    DS
    
 
    _unnamed [9 4]:
    
 
@@ -32247,7 +32495,7 @@ 
    Add/update/delete columns
    
 
 
    
 
    
 
    Add one column
    
-
    (tc/map-columns DS :v5 [:V1] dfn/log)
    
+
    (tc/map-columns DS :v5 [:V1] dfn/log)
    
 
    _unnamed [9 5]:
    
 
@@ -32325,8 +32573,8 @@ 
    Add/update/delete columns
    
 
 
 
 
    
-
    (def DS (tc/add-column DS :v5 (dfn/log (DS :V1))))
    
-
    DS
    
+
    (def DS (tc/add-column DS :v5 (dfn/log (DS :V1))))
    
+
    DS
    
 
    _unnamed [9 5]:
    
 
@@ -32406,9 +32654,9 @@ 
    Add/update/delete columns
    
 
 
    
 
    
 
    Add several columns
    
-
    (def DS (tc/add-columns DS {:v6 (dfn/sqrt (DS :V1))
-                                       :v7 "X"}))
    
-
    DS
    
+
    (def DS (tc/add-columns DS {:v6 (dfn/sqrt (DS :V1))
+                                       :v7 "X"}))
    
+
    DS
    
 
    _unnamed [9 7]:
    
 
@@ -32508,7 +32756,7 @@ 
    Add/update/delete columns
    
 
 
    
 
    
 
    Create one column and remove the others
    
-
    (tc/dataset {:v8 (dfn/+ (DS :V3) 1)})
    
+
    (tc/dataset {:v8 (dfn/+ (DS :V3) 1)})
    
 
    _unnamed [9 1]:
    
 
@@ -32548,8 +32796,8 @@ 
    Add/update/delete columns
    
 
 
    
 
    
 
    Remove one column
    
-
    (def DS (tc/drop-columns DS :v5))
    
-
    DS
    
+
    (def DS (tc/drop-columns DS :v5))
    
+
    DS
    
 
    _unnamed [9 6]:
    
 
@@ -32639,8 +32887,8 @@ 
    Add/update/delete columns
    
 
 
    
 
    
 
    Remove several columns
    
-
    (def DS (tc/drop-columns DS [:v6 :v7]))
    
-
    DS
    
+
    (def DS (tc/drop-columns DS [:v6 :v7]))
    
+
    DS
    
 
    _unnamed [9 4]:
    
 
@@ -32711,8 +32959,8 @@ 
    Add/update/delete columns
    Remove columns using a vector of colnames
    We use set here.
    
-
    (def DS (tc/select-columns DS (complement #{:V3})))
    
-
    DS
    
+
    (def DS (tc/select-columns DS (complement #{:V3})))
    
+
    DS
    _unnamed [9 3]:
    
 
 
 
 
 
 
    
@@ -32772,8 +33020,8 @@ 
    Add/update/delete columns
    
 
 
    
 
    
 
    Replace values for rows matching a condition
    
-
    (def DS (tc/map-columns DS :V2 [:V2] #(if (< % 4.0) 0.0 %)))
    
-
    DS
    
+
    (def DS (tc/map-columns DS :V2 [:V2] #(if (< % 4.0) 0.0 %)))
    
+
    DS
    
 
    _unnamed [9 3]:
    
 
@@ -32835,9 +33083,9 @@ 
    Add/update/delete columns
    
 
    by
    
 
    By group
    
-
    (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate {:sumV2 #(dfn/sum (% :V2))}))
    
+
    (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate {:sumV2 #(dfn/sum (% :V2))}))
    
 
    _unnamed [3 2]:
    
 
    
 
 
    
@@ -32863,9 +33111,9 @@ 
    by
    
 
 
    
 
    
 
    By several groups
    
-
    (-> DS
-    (tc/group-by [:V4 :V1])
-    (tc/aggregate {:sumV2 #(dfn/sum (% :V2))}))
    
+
    (-> DS
+    (tc/group-by [:V4 :V1])
+    (tc/aggregate {:sumV2 #(dfn/sum (% :V2))}))
    
 
    _unnamed [6 3]:
    
 
@@ -32910,10 +33158,10 @@ 
    by
    
 
 
    
 
    
 
    Calling function in by
    
-
    (-> DS
-    (tc/group-by (fn [row]
-                    (clojure.string/lower-case (:V4 row))))
-    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
    
+
    (-> DS
+    (tc/group-by (fn [row]
+                    (clojure.string/lower-case (:V4 row))))
+    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
    
 
    _unnamed [3 2]:
    
 
@@ -32939,10 +33187,10 @@ 
    by
    
 
 
    
 
    
 
    Assigning column name in by
    
-
    (-> DS
-    (tc/group-by (fn [row]
-                    {:abc (clojure.string/lower-case (:V4 row))}))
-    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
    
+
    (-> DS
+    (tc/group-by (fn [row]
+                    {:abc (clojure.string/lower-case (:V4 row))}))
+    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
    
 
    _unnamed [3 2]:
    
 
@@ -32966,10 +33214,10 @@ 
    by
    
 
 
 
 
    
-
    (-> DS
-    (tc/group-by (fn [row]
-                    (clojure.string/lower-case (:V4 row))))
-    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))} {:add-group-as-column :abc}))
    
+
    (-> DS
+    (tc/group-by (fn [row]
+                    (clojure.string/lower-case (:V4 row))))
+    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))} {:add-group-as-column :abc}))
    
 
    _unnamed [3 2]:
    
 
@@ -32995,9 +33243,9 @@ 
    by
    
 
 
    
 
    
 
    Using a condition in by
    
-
    (-> DS
-    (tc/group-by #(= (:V4 %) "A"))
-    (tc/aggregate #(dfn/sum (% :V1))))
    
+
    (-> DS
+    (tc/group-by #(= (:V4 %) "A"))
+    (tc/aggregate #(dfn/sum (% :V1))))
    
 
    _unnamed [2 2]:
    
 
@@ -33019,10 +33267,10 @@ 
    by
    
 
 
    
 
    
 
    By on a subset of rows
    
-
    (-> DS
-    (tc/select-rows (range 5))
-    (tc/group-by :V4)
-    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
    
+
    (-> DS
+    (tc/select-rows (range 5))
+    (tc/group-by :V4)
+    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
    
 
    _unnamed [3 2]:
    
 
@@ -33048,9 +33296,9 @@ 
    by
    
 
 
    
 
    
 
    Count number of observations for each group
    
-
    (-> DS
-    (tc/group-by :V4)
-    (tc/aggregate tc/row-count))
    
+
    (-> DS
+    (tc/group-by :V4)
+    (tc/aggregate tc/row-count))
    
 
    _unnamed [3 2]:
    
 
@@ -33076,10 +33324,10 @@ 
    by
    
 
 
    
 
    
 
    Add a column with number of observations for each group
    
-
    (-> DS
-    (tc/group-by [:V1])
-    (tc/add-column :n tc/row-count)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by [:V1])
+    (tc/add-column :n tc/row-count)
+    (tc/ungroup))
    
 
    _unnamed [9 4]:
    
 
@@ -33149,9 +33397,9 @@ 
    by
    
 
 
    
 
    
 
    Retrieve the first/last/nth observation for each group
    
-
    (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns :V2 first))
    
+
    (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns :V2 first))
    
 
    _unnamed [3 2]:
    
 
@@ -33175,9 +33423,9 @@ 
    by
    
 
 
 
 
    
-
    (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns :V2 last))
    
+
    (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns :V2 last))
    
 
    _unnamed [3 2]:
    
 
@@ -33201,9 +33449,9 @@ 
    by
    
 
 
 
 
    
-
    (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns :V2 #(nth % 1)))
    
+
    (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns :V2 #(nth % 1)))
    
 
    _unnamed [3 2]:
    
 
@@ -33234,8 +33482,8 @@ 
    Going further
    
 
    Advanced columns manipulation
    
 
    Summarise all the columns
    
-
    ;; custom max function which works on every type
-(tc/aggregate-columns DS :all (fn [col] (first (sort #(compare %2 %1) col))))
    
+
    ;; custom max function which works on every type
+(tc/aggregate-columns DS :all (fn [col] (first (sort #(compare %2 %1) col))))
    
 
    _unnamed [1 3]:
    
 
    
 
 
    
@@ -33255,7 +33503,7 @@ 
    Advanced columns manipulation
    
 
 
    
 
    
 
    Summarise several columns
    
-
    (tc/aggregate-columns DS [:V1 :V2] dfn/mean)
    
+
    (tc/aggregate-columns DS [:V1 :V2] dfn/mean)
    
 
    _unnamed [1 2]:
    
 
@@ -33273,9 +33521,9 @@ 
    Advanced columns manipulation
    
 
 
    
 
    
 
    Summarise several columns by group
    
-
    (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns [:V1 :V2] dfn/mean))
    
+
    (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns [:V1 :V2] dfn/mean))
    
 
    _unnamed [3 3]:
    
 
@@ -33305,11 +33553,11 @@ 
    Advanced columns manipulation
    
 
 
    
 
    
 
    Summarise with more than one function by group
    
-
    (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns [:V1 :V2] (fn [col]
-                                       {:sum (dfn/sum col)
-                                        :mean (dfn/mean col)})))
    
+
    (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns [:V1 :V2] (fn [col]
+                                       {:sum (dfn/sum col)
+                                        :mean (dfn/mean col)})))
    
 
    _unnamed [3 5]:
    
 
@@ -33346,9 +33594,9 @@ 
    Advanced columns manipulation
    
 
 
 
    
 
    Summarise using a condition
    
-
    (-> DS
-    (tc/select-columns :type/numerical)
-    (tc/aggregate-columns :all dfn/mean))
    
+
    (-> DS
+    (tc/select-columns :type/numerical)
+    (tc/aggregate-columns :all dfn/mean))
    
 
    _unnamed [1 2]:
    
 
@@ -33366,7 +33614,7 @@ 
    Advanced columns manipulation
    
 
 
    
 
    
 
    Modify all the columns
    
-
    (tc/update-columns DS :all reverse)
    
+
    (tc/update-columns DS :all reverse)
    
 
    _unnamed [9 3]:
    
 
@@ -33426,9 +33674,9 @@ 
    Advanced columns manipulation
    
 
 
    
 
    
 
    Modify several columns (dropping the others)
    
-
    (-> DS
-    (tc/select-columns [:V1 :V2])
-    (tc/update-columns :all dfn/sqrt))
    
+
    (-> DS
+    (tc/select-columns [:V1 :V2])
+    (tc/update-columns :all dfn/sqrt))
    
 
    _unnamed [9 2]:
    
 
@@ -33476,9 +33724,9 @@ 
    Advanced columns manipulation
    
 
 
 
 
    
-
    (-> DS
-    (tc/select-columns (complement #{:V4}))
-    (tc/update-columns :all dfn/exp))
    
+
    (-> DS
+    (tc/select-columns (complement #{:V4}))
+    (tc/update-columns :all dfn/exp))
    
 
    _unnamed [9 2]:
    
 
@@ -33528,8 +33776,8 @@ 
    Advanced columns manipulation
    
 
 
    
 
    
 
    Modify several columns (keeping the others)
    
-
    (def DS (tc/update-columns DS [:V1 :V2] dfn/sqrt))
    
-
    DS
    
+
    (def DS (tc/update-columns DS [:V1 :V2] dfn/sqrt))
    
+
    DS
    
 
    _unnamed [9 3]:
    
 
@@ -33587,8 +33835,8 @@ 
    Advanced columns manipulation
    
 
 
 
 
    
-
    (def DS (tc/update-columns DS (complement #{:V4}) #(dfn/pow % 2)))
    
-
    DS
    
+
    (def DS (tc/update-columns DS (complement #{:V4}) #(dfn/pow % 2)))
    
+
    DS
    
 
    _unnamed [9 3]:
    
 
@@ -33648,9 +33896,9 @@ 
    Advanced columns manipulation
    
 
 
    
 
    
 
    Modify columns using a condition (dropping the others)
    
-
    (-> DS
-    (tc/select-columns :type/numerical)
-    (tc/update-columns :all #(dfn/- % 1)))
    
+
    (-> DS
+    (tc/select-columns :type/numerical)
+    (tc/update-columns :all #(dfn/- % 1)))
    
 
    _unnamed [9 2]:
    
 
@@ -33700,8 +33948,8 @@ 
    Advanced columns manipulation
    
 
 
    
 
    
 
    Modify columns using a condition (keeping the others)
    
-
    (def DS (tc/convert-types DS :type/numerical :int32))
    
-
    DS
    
+
    (def DS (tc/convert-types DS :type/numerical :int32))
    
+
    DS
    
 
    _unnamed [9 3]:
    
 
@@ -33761,11 +34009,11 @@ 
    Advanced columns manipulation
    
 
 
    
 
    
 
    Use a complex expression
    
-
    (-> DS
-    (tc/group-by [:V4])
-    (tc/head 2)
-    (tc/add-column :V2 "X")
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by [:V4])
+    (tc/head 2)
+    (tc/add-column :V2 "X")
+    (tc/ungroup))
    
 
    _unnamed [6 3]:
    
 
@@ -33810,11 +34058,11 @@ 
    Advanced columns manipulation
    
 
 
    
 
    
 
    Use multiple expressions
    
-
    (tc/dataset (let [x (dfn/+ (DS :V1) (dfn/sum (DS :V2)))]
-               (println (seq (DS :V1)))
-               (println (tc/info (tc/select-columns DS :V1)))
-               {:A (range 1 (inc (tc/row-count DS)))
-                :B x}))
    
+
    (tc/dataset (let [x (dfn/+ (DS :V1) (dfn/sum (DS :V2)))]
+               (println (seq (DS :V1)))
+               (println (tc/info (tc/select-columns DS :V1)))
+               {:A (range 1 (inc (tc/row-count DS)))
+                :B x}))
    
 
    (1 4 1 4 1 4 1 4 1) _unnamed: descriptive-stats [1 11]:
    
 @@ -33912,10 +34160,10 @@ 
    Advanced columns manipulation
    
 
    Chain expressions
    
 
    Expression chaining using >
    
-
    (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate {:V1sum #(dfn/sum (% :V1))})
-    (tc/select-rows #(>= (:V1sum %) 5)))
    
+
    (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate {:V1sum #(dfn/sum (% :V1))})
+    (tc/select-rows #(>= (:V1sum %) 5)))
    
 
    _unnamed [3 2]:
    
 
    
 

 
    
@@ -33939,10 +34187,10 @@ 
    Chain expressions
    
 
 
 
 
    
-
    (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate {:V1sum #(dfn/sum (% :V1))})
-    (tc/order-by :V1sum :desc))
    
+
    (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate {:V1sum #(dfn/sum (% :V1))})
+    (tc/order-by :V1sum :desc))
    
 
    _unnamed [3 2]:
    
 
@@ -33970,8 +34218,8 @@ 
    Chain expressions
    
 
    Indexing and Keys
    
 
    Set the key/index (order)
    
-
    (def DS (tc/order-by DS :V4))
    
-
    DS
    
+
    (def DS (tc/order-by DS :V4))
    
+
    DS
    
 
    _unnamed [9 3]:
    
 
    
 
 
    
@@ -34030,7 +34278,7 @@ 
    Indexing and Keys
    
 
 
 
    
 
    Select the matching rows
    
-
    (tc/select-rows DS #(= (:V4 %) "A"))
    
+
    (tc/select-rows DS #(= (:V4 %) "A"))
    
 
    _unnamed [3 3]:
    
 
@@ -34058,7 +34306,7 @@ 
    Indexing and Keys
    
 
 
 
 
    
-
    (tc/select-rows DS (comp #{"A" "C"} :V4))
    
+
    (tc/select-rows DS (comp #{"A" "C"} :V4))
    
 
    _unnamed [6 3]:
    
 
@@ -34103,9 +34351,9 @@ 
    Indexing and Keys
    
 
 
    
 
    
 
    Select the first matching row
    
-
    (-> DS
-    (tc/select-rows #(= (:V4 %) "B"))
-    (tc/first))
    
+
    (-> DS
+    (tc/select-rows #(= (:V4 %) "B"))
+    (tc/first))
    
 
    _unnamed [1 3]:
    
 
@@ -34123,9 +34371,9 @@ 
    Indexing and Keys
    
 
 
 
 
    
-
    (-> DS
-    (tc/unique-by :V4)
-    (tc/select-rows (comp #{"B" "C"} :V4)))
    
+
    (-> DS
+    (tc/unique-by :V4)
+    (tc/select-rows (comp #{"B" "C"} :V4)))
    
 
    _unnamed [2 3]:
    
 
@@ -34150,9 +34398,9 @@ 
    Indexing and Keys
    
 
 
    
 
    
 
    Select the last matching row
    
-
    (-> DS
-    (tc/select-rows #(= (:V4 %) "A"))
-    (tc/last))
    
+
    (-> DS
+    (tc/select-rows #(= (:V4 %) "A"))
+    (tc/last))
    
 
    _unnamed [1 3]:
    
 
@@ -34172,7 +34420,7 @@ 
    Indexing and Keys
    
 
 
    
 
    
 
    Nomatch argument
    
-
    (tc/select-rows DS (comp #{"A" "D"} :V4))
    
+
    (tc/select-rows DS (comp #{"A" "D"} :V4))
    
 
    _unnamed [3 3]:
    
 
@@ -34202,10 +34450,10 @@ 
    Indexing and Keys
    
 
 
    
 
    
 
    Apply a function on the matching rows
    
-
    (-> DS
-    (tc/select-rows (comp #{"A" "C"} :V4))
-    (tc/aggregate-columns :V1 (fn [col]
-                                 {:sum (dfn/sum col)})))
    
+
    (-> DS
+    (tc/select-rows (comp #{"A" "C"} :V4))
+    (tc/aggregate-columns :V1 (fn [col]
+                                 {:sum (dfn/sum col)})))
    
 
    _unnamed [1 1]:
    
 
@@ -34221,10 +34469,10 @@ 
    Indexing and Keys
    
 
 
    
 
    
 
    Modify values for matching rows
    
-
    (def DS (-> DS
-            (tc/map-columns :V1 [:V1 :V4] #(if (= %2 "A") 0 %1))
-            (tc/order-by :V4)))
    
-
    DS
    
+
    (def DS (-> DS
+            (tc/map-columns :V1 [:V1 :V4] #(if (= %2 "A") 0 %1))
+            (tc/order-by :V4)))
    
+
    DS
    
 
    _unnamed [9 3]:
    
 
@@ -34284,10 +34532,10 @@ 
    Indexing and Keys
    
 
 
    
 
    
 
    Use keys in by
    
-
    (-> DS
-    (tc/select-rows (comp (complement #{"B"}) :V4))
-    (tc/group-by [:V4])
-    (tc/aggregate-columns :V1 dfn/sum))
    
+
    (-> DS
+    (tc/select-rows (comp (complement #{"B"}) :V4))
+    (tc/group-by [:V4])
+    (tc/aggregate-columns :V1 dfn/sum))
    
 
    _unnamed [2 2]:
    
 
@@ -34309,7 +34557,7 @@ 
    Indexing and Keys
    
 
 
    
 
    
 
    Set keys/indices for multiple columns (ordered)
    
-
    (tc/order-by DS [:V4 :V1])
    
+
    (tc/order-by DS [:V4 :V1])
    
 
    _unnamed [9 3]:
    
 
@@ -34369,9 +34617,9 @@ 
    Indexing and Keys
    
 
 
    
 
    
 
    Subset using multiple keys/indices
    
-
    (-> DS
-    (tc/select-rows #(and (= (:V1 %) 1)
-                           (= (:V4 %) "C"))))
    
+
    (-> DS
+    (tc/select-rows #(and (= (:V1 %) 1)
+                           (= (:V4 %) "C"))))
    
 
    _unnamed [2 3]:
    
 
@@ -34394,9 +34642,9 @@ 
    Indexing and Keys
    
 
 
 
 
    
-
    (-> DS
-    (tc/select-rows #(and (= (:V1 %) 1)
-                           (#{"B" "C"} (:V4 %)))))
    
+
    (-> DS
+    (tc/select-rows #(and (= (:V1 %) 1)
+                           (#{"B" "C"} (:V4 %)))))
    
 
    _unnamed [3 3]:
    
 
@@ -34424,18 +34672,18 @@ 
    Indexing and Keys
    
 
 
 
 
    
-
    (-> DS
-    (tc/select-rows #(and (= (:V1 %) 1)
-                           (#{"B" "C"} (:V4 %))) {:result-type :as-indexes}))
    
+
    (-> DS
+    (tc/select-rows #(and (= (:V1 %) 1)
+                           (#{"B" "C"} (:V4 %))) {:result-type :as-indexes}))
    
 
    (4 6 8)
    
 
    
 
    
 
    set*() modifications
    
 
    Replace values
    
 
    There is no mutating operations tech.ml.dataset or easy way to set value.
    
-
    (def DS (tc/update-columns DS :V2 #(map-indexed (fn [idx v]
-                                                   (if (zero? idx) 3 v)) %)))
    
-
    DS
    
+
    (def DS (tc/update-columns DS :V2 #(map-indexed (fn [idx v]
+                                                   (if (zero? idx) 3 v)) %)))
    
+
    DS
    
 
    _unnamed [9 3]:
    
 
@@ -34495,8 +34743,8 @@ 
    set*() modifications
    
 
 
    
 
    
 
    Reorder rows
    
-
    (def DS (tc/order-by DS [:V4 :V1] [:asc :desc]))
    
-
    DS
    
+
    (def DS (tc/order-by DS [:V4 :V1] [:asc :desc]))
    
+
    DS
    
 
    _unnamed [9 3]:
    
 
@@ -34556,8 +34804,8 @@ 
    set*() modifications
    
 
 
    
 
    
 
    Modify colnames
    
-
    (def DS (tc/rename-columns DS {:V2 "v2"}))
    
-
    DS
    
+
    (def DS (tc/rename-columns DS {:V2 "v2"}))
    
+
    DS
    
 
    _unnamed [9 3]:
    
 
@@ -34615,11 +34863,11 @@ 
    set*() modifications
    
 
 
 
 
    
-
    (def DS (tc/rename-columns DS {"v2" :V2})) ;; revert back
    
+
    (def DS (tc/rename-columns DS {"v2" :V2})) ;; revert back
    
 
    
 
    Reorder columns
    
-
    (def DS (tc/reorder-columns DS :V4 :V1 :V2))
    
-
    DS
    
+
    (def DS (tc/reorder-columns DS :V4 :V1 :V2))
    
+
    DS
    
 
    _unnamed [9 3]:
    
 
@@ -34681,10 +34929,10 @@ 
    set*() modifications
    
 
    Advanced use of by
    
 
    Select first/last/… row by group
    
-
    (-> DS
-    (tc/group-by :V4)
-    (tc/first)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V4)
+    (tc/first)
+    (tc/ungroup))
    
 
    _unnamed [3 3]:
    
 
    
 
 
    
@@ -34712,10 +34960,10 @@ 
    Advanced use of by
    
 
 
 
 
    
-
    (-> DS
-    (tc/group-by :V4)
-    (tc/select-rows [0 2])
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V4)
+    (tc/select-rows [0 2])
+    (tc/ungroup))
    
 
    _unnamed [6 3]:
    
 
@@ -34758,10 +35006,10 @@ 
    Advanced use of by
    
 
 
 
 
    
-
    (-> DS
-    (tc/group-by :V4)
-    (tc/tail 2)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V4)
+    (tc/tail 2)
+    (tc/ungroup))
    
 
    _unnamed [6 3]:
    
 
@@ -34806,11 +35054,11 @@ 
    Advanced use of by
    
 
 
    
 
    
 
    Select rows using a nested query
    
-
    (-> DS
-    (tc/group-by :V4)
-    (tc/order-by :V2)
-    (tc/first)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/group-by :V4)
+    (tc/order-by :V2)
+    (tc/first)
+    (tc/ungroup))
    
 
    _unnamed [3 3]:
    
 
@@ -34839,9 +35087,9 @@ 
    Advanced use of by
    
 
 
 
    
 
    Add a group counter column
    
-
    (-> DS
-    (tc/group-by [:V4 :V1])
-    (tc/ungroup {:add-group-id-as-column :Grp}))
    
+
    (-> DS
+    (tc/group-by [:V4 :V1])
+    (tc/ungroup {:add-group-id-as-column :Grp}))
    
 
    _unnamed [9 4]:
    
 
@@ -34911,11 +35159,11 @@ 
    Advanced use of by
    
 
 
    
 
    
 
    Get row number of first (and last) observation by group
    
-
    (-> DS
-    (tc/add-column :row-id (range))
-    (tc/select-columns [:V4 :row-id])
-    (tc/group-by :V4)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/add-column :row-id (range))
+    (tc/select-columns [:V4 :row-id])
+    (tc/group-by :V4)
+    (tc/ungroup))
    
 
    _unnamed [9 2]:
    
 
@@ -34963,12 +35211,12 @@ 
    Advanced use of by
    
 
 
 
 
    
-
    (-> DS
-    (tc/add-column :row-id (range))
-    (tc/select-columns [:V4 :row-id])
-    (tc/group-by :V4)
-    (tc/first)
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/add-column :row-id (range))
+    (tc/select-columns [:V4 :row-id])
+    (tc/group-by :V4)
+    (tc/first)
+    (tc/ungroup))
    
 
    _unnamed [3 2]:
    
 
@@ -34992,12 +35240,12 @@ 
    Advanced use of by
    
 
 
 
 
    
-
    (-> DS
-    (tc/add-column :row-id (range))
-    (tc/select-columns [:V4 :row-id])
-    (tc/group-by :V4)
-    (tc/select-rows [0 2])
-    (tc/ungroup))
    
+
    (-> DS
+    (tc/add-column :row-id (range))
+    (tc/select-columns [:V4 :row-id])
+    (tc/group-by :V4)
+    (tc/select-rows [0 2])
+    (tc/ungroup))
    
 
    _unnamed [6 2]:
    
 
@@ -35035,9 +35283,9 @@ 
    Advanced use of by
    
 
 
    
 
    
 
    Handle list-columns by group
    
-
    (-> DS
-    (tc/select-columns [:V1 :V4])
-    (tc/fold-by :V4))
    
+
    (-> DS
+    (tc/select-columns [:V1 :V4])
+    (tc/fold-by :V4))
    
 
    _unnamed [3 2]:
    
 
@@ -35061,9 +35309,9 @@ 
    Advanced use of by
    
 
 
 
 
    
-
    (-> DS    
-    (tc/group-by :V4)
-    (tc/unmark-group))
    
+
    (-> DS    
+    (tc/group-by :V4)
+    (tc/unmark-group))
    
 
    _unnamed [3 3]:
    
 
@@ -35101,18 +35349,18 @@ 
    Miscellaneous
    
 
    Read / Write data
    
 
    Write data to a csv file
    
-
    (tc/write! DS "DF.csv")
    
-
    nil
    
+
    (tc/write! DS "DF.csv")
    
+
    10
    
 
    
 
    Write data to a tab-delimited file
    
-
    (tc/write! DS "DF.txt" {:separator \tab})
    
-
    nil
    
+
    (tc/write! DS "DF.txt" {:separator \tab})
    
+
    10
    
 
    or
    
-
    (tc/write! DS "DF.tsv")
    
-
    nil
    
+
    (tc/write! DS "DF.tsv")
    
+
    10
    
 
    
 
    Read a csv / tab-delimited file
    
-
    (tc/dataset "DF.csv" {:key-fn keyword})
    
+
    (tc/dataset "DF.csv" {:key-fn keyword})
    
 
    DF.csv [9 3]:
    
 
    
 
 
    
@@ -35170,7 +35418,7 @@ 
    Read / Write data
    
 
 
 
 
    
-
    (tc/dataset "DF.txt" {:key-fn keyword})
    
+
    (tc/dataset "DF.txt" {:key-fn keyword})
    
 
    DF.txt [9 1]:
    
 
@@ -35208,7 +35456,7 @@ 
    Read / Write data
    
 
 
 
 
    
-
    (tc/dataset "DF.tsv" {:key-fn keyword})
    
+
    (tc/dataset "DF.tsv" {:key-fn keyword})
    
 
    DF.tsv [9 3]:
    
 
@@ -35268,8 +35516,8 @@ 
    Read / Write data
    
 
 
    
 
    
 
    Read a csv file selecting / droping columns
    
-
    (tc/dataset "DF.csv" {:key-fn keyword
-                       :column-whitelist ["V1" "V4"]})
    
+
    (tc/dataset "DF.csv" {:key-fn keyword
+                       :column-whitelist ["V1" "V4"]})
    
 
    DF.csv [9 2]:
    
 
@@ -35317,8 +35565,8 @@ 
    Read / Write data
    
 
 
 
 
    
-
    (tc/dataset "DF.csv" {:key-fn keyword
-                       :column-blacklist ["V4"]})
    
+
    (tc/dataset "DF.csv" {:key-fn keyword
+                       :column-blacklist ["V4"]})
    
 
    DF.csv [9 2]:
    
 
@@ -35368,7 +35616,7 @@ 
    Read / Write data
    
 
 
    
 
    
 
    Read and rbind several files
    
-
    (apply tc/concat (map tc/dataset ["DF.csv" "DF.csv"]))
    
+
    (apply tc/concat (map tc/dataset ["DF.csv" "DF.csv"]))
    
 
    DF.csv [18 3]:
    
 
@@ -35475,9 +35723,9 @@ 
    Read / Write data
    
 
    Reshape data
    
 
    Melt data (from wide to long)
    
-
    (def mDS (tc/pivot->longer DS [:V1 :V2] {:target-columns :variable
-                                          :value-column-name :value}))
    
-
    mDS
    
+
    (def mDS (tc/pivot->longer DS [:V1 :V2] {:target-columns :variable
+                                          :value-column-name :value}))
    
+
    mDS
    
 
    _unnamed [18 3]:
    
 
    
 
 
    
@@ -35582,9 +35830,9 @@ 
    Reshape data
    
 
 
    
 
    
 
    Cast data (from long to wide)
    
-
    (-> mDS
-    (tc/pivot->wider :variable :value {:fold-fn vec})
-    (tc/update-columns ["V1" "V2"] (partial map count)))
    
+
    (-> mDS
+    (tc/pivot->wider :variable :value {:fold-fn vec})
+    (tc/update-columns ["V1" "V2"] (partial map count)))
    
 
    _unnamed [3 3]:
    
 
@@ -35612,9 +35860,9 @@ 
    Reshape data
    
 
 
 
 
    
-
    (-> mDS
-    (tc/pivot->wider :variable :value {:fold-fn vec})
-    (tc/update-columns ["V1" "V2"] (partial map dfn/sum)))
    
+
    (-> mDS
+    (tc/pivot->wider :variable :value {:fold-fn vec})
+    (tc/update-columns ["V1" "V2"] (partial map dfn/sum)))
    
 
    _unnamed [3 3]:
    
 
@@ -35642,10 +35890,10 @@ 
    Reshape data
    
 
 
 
 
    
-
    (-> mDS
-    (tc/map-columns :value #(str (> % 5))) ;; coerce to strings
-    (tc/pivot->wider :value :variable {:fold-fn vec})
-    (tc/update-columns ["true" "false"] (partial map #(if (sequential? %) (count %) 1))))
    
+
    (-> mDS
+    (tc/map-columns :value #(str (> % 5))) ;; coerce to strings
+    (tc/pivot->wider :value :variable {:fold-fn vec})
+    (tc/update-columns ["true" "false"] (partial map #(if (sequential? %) (count %) 1))))
    
 
    _unnamed [3 3]:
    
 
@@ -35675,7 +35923,7 @@ 
    Reshape data
    
 
 
    
 
    
 
    Split
    
-
    (tc/group-by DS :V4 {:result-type :as-map})
    
+
    (tc/group-by DS :V4 {:result-type :as-map})
    
 
    {“A” Group: A [3 3]:
    
 
@@ -35760,9 +36008,9 @@ 
    Reshape data
    }
    Split and transpose a vector/column
    
-
    (-> {:a ["A:a" "B:b" "C:c"]}
-    (tc/dataset)
-    (tc/separate-column :a [:V1 :V2] ":"))
    
+
    (-> {:a ["A:a" "B:b" "C:c"]}
+    (tc/dataset)
+    (tc/separate-column :a [:V1 :V2] ":"))
    _unnamed [3 2]:
    
 
 
 
 
 
 
    
@@ -35794,13 +36042,13 @@ 
    Other
    
 
    Join/Bind data sets
    
-
    (def x (tc/dataset {"Id" ["A" "B" "C" "C"]
-                     "X1" [1 3 5 7]
-                     "XY" ["x2" "x4" "x6" "x8"]}))
-(def y (tc/dataset {"Id" ["A" "B" "B" "D"]
-                     "Y1" [1 3 5 7]
-                     "XY" ["y1" "y3" "y5" "y7"]}))
    
-
    x y
    
+
    (def x (tc/dataset {"Id" ["A" "B" "C" "C"]
+                     "X1" [1 3 5 7]
+                     "XY" ["x2" "x4" "x6" "x8"]}))
+(def y (tc/dataset {"Id" ["A" "B" "B" "D"]
+                     "Y1" [1 3 5 7]
+                     "XY" ["y1" "y3" "y5" "y7"]}))
    
+
    x y
    
 
    _unnamed [4 3]:
    
 
    
 
 
 
    
@@ -35868,7 +36116,7 @@ 
    Join/Bind data sets
    
 
    Join
    
 
    Join matching rows from y to x
    
-
    (tc/left-join x y "Id")
    
+
    (tc/left-join x y "Id")
    
 
    left-outer-join [5 6]:
    
 
    
 
 
    
@@ -35926,7 +36174,7 @@ 
    Join
    
 
 
    
 
    
 
    Join matching rows from x to y
    
-
    (tc/right-join x y "Id")
    
+
    (tc/right-join x y "Id")
    
 
    right-outer-join [4 6]:
    
 
@@ -35976,7 +36224,7 @@ 
    Join
    
 
 
    
 
    
 
    Join matching rows from both x and y
    
-
    (tc/inner-join x y "Id")
    
+
    (tc/inner-join x y "Id")
    
 
    inner-join [3 5]:
    
 
@@ -36014,7 +36262,7 @@ 
    Join
    
 
 
    
 
    
 
    Join keeping all the rows
    
-
    (tc/full-join x y "Id")
    
+
    (tc/full-join x y "Id")
    
 
    full-join [6 6]:
    
 
@@ -36080,7 +36328,7 @@ 
    Join
    
 
 
    
 
    
 
    Return rows from x matching y
    
-
    (tc/semi-join x y "Id")
    
+
    (tc/semi-join x y "Id")
    
 
    semi-join [2 3]:
    
 
@@ -36105,7 +36353,7 @@ 
    Join
    
 
 
    
 
    
 
    Return rows from x not matching y
    
-
    (tc/anti-join x y "Id")
    
+
    (tc/anti-join x y "Id")
    
 
    anti-join [2 3]:
    
 
@@ -36132,9 +36380,9 @@ 
    Join
    
 
    More joins
    
 
    Select columns while joining
    
-
    (tc/right-join (tc/select-columns x ["Id" "X1"])
-                (tc/select-columns y ["Id" "XY"])
-                "Id")
    
+
    (tc/right-join (tc/select-columns x ["Id" "X1"])
+                (tc/select-columns y ["Id" "XY"])
+                "Id")
    
 
    right-outer-join [4 4]:
    
 
    
 
 
    
@@ -36172,9 +36420,9 @@ 
    More joins
    
 
 
 
 
    
-
    (tc/right-join (tc/select-columns x ["Id" "XY"])
-                (tc/select-columns y ["Id" "XY"])
-                "Id")
    
+
    (tc/right-join (tc/select-columns x ["Id" "XY"])
+                (tc/select-columns y ["Id" "XY"])
+                "Id")
    
 
    right-outer-join [4 4]:
    
 
@@ -36213,13 +36461,13 @@ 
    More joins
    
 
 
 
    
 
    Aggregate columns while joining
    
-
    (-> y
-    (tc/group-by ["Id"])
-    (tc/aggregate {"sumY1" #(dfn/sum (% "Y1"))})
-    (tc/right-join x "Id")
-    (tc/add-column "X1Y1" (fn [ds] (dfn/* (ds "sumY1")
-                                                    (ds "X1"))))
-    (tc/select-columns ["right.Id" "X1Y1"]))
    
+
    (-> y
+    (tc/group-by ["Id"])
+    (tc/aggregate {"sumY1" #(dfn/sum (% "Y1"))})
+    (tc/right-join x "Id")
+    (tc/add-column "X1Y1" (fn [ds] (dfn/* (ds "sumY1")
+                                                    (ds "X1"))))
+    (tc/select-columns ["right.Id" "X1Y1"]))
    
 
    right-outer-join [4 2]:
    
 
@@ -36248,11 +36496,11 @@ 
    More joins
    
 
 
 
    
 
    Update columns while joining
    
-
    (-> x
-    (tc/select-columns ["Id" "X1"])
-    (tc/map-columns "SqX1" "X1" (fn [x] (* x x)))
-    (tc/right-join y "Id")
-    (tc/drop-columns ["X1" "Id"]))
    
+
    (-> x
+    (tc/select-columns ["Id" "X1"])
+    (tc/map-columns "SqX1" "X1" (fn [x] (* x x)))
+    (tc/right-join y "Id")
+    (tc/drop-columns ["X1" "Id"]))
    
 
    right-outer-join [4 4]:
    
 
@@ -36292,9 +36540,9 @@ 
    More joins
    
 
 
    
 
    
 
    Adds a list column with rows from y matching x (nest-join)
    
-
    (-> (tc/left-join x y "Id")
-    (tc/drop-columns ["right.Id"])
-    (tc/fold-by (tc/column-names x)))
    
+
    (-> (tc/left-join x y "Id")
+    (tc/drop-columns ["right.Id"])
+    (tc/fold-by (tc/column-names x)))
    
 
    _unnamed [4 5]:
    
 
@@ -36341,9 +36589,9 @@ 
    More joins
    Some joins are skipped
    Cross join
    
-
    (def cjds (tc/dataset {:V1 [[2 1 1]]
-                        :V2 [[3 2]]}))
    
-
    cjds
    
+
    (def cjds (tc/dataset {:V1 [[2 1 1]]
+                        :V2 [[3 2]]}))
    
+
    cjds
    _unnamed [1 2]:
    
 
 
 
 
 
 
    
@@ -36359,7 +36607,7 @@ 
    More joins
    
 
 
 
 
    
-
    (reduce #(tc/unroll %1 %2) cjds (tc/column-names cjds))
    
+
    (reduce #(tc/unroll %1 %2) cjds (tc/column-names cjds))
    
 
    _unnamed [6 2]:
    
 
@@ -36395,8 +36643,8 @@ 
    More joins
    
 
 
 
 
    
-
    (-> (reduce #(tc/unroll %1 %2) cjds (tc/column-names cjds))
-    (tc/unique-by))
    
+
    (-> (reduce #(tc/unroll %1 %2) cjds (tc/column-names cjds))
+    (tc/unique-by))
    
 
    _unnamed [4 2]:
    
 
@@ -36427,11 +36675,11 @@ 
    More joins
    
 
    Bind
    
-
    (def x (tc/dataset {:V1 [1 2 3]}))
-(def y (tc/dataset {:V1 [4 5 6]}))
-(def z (tc/dataset {:V1 [7 8 9]
-                     :V2 [0 0 0]}))
    
-
    x y z
    
+
    (def x (tc/dataset {:V1 [1 2 3]}))
+(def y (tc/dataset {:V1 [4 5 6]}))
+(def z (tc/dataset {:V1 [7 8 9]
+                     :V2 [0 0 0]}))
    
+
    x y z
    
 
    _unnamed [3 1]:
    
 
    
 
 
 
    
@@ -36495,7 +36743,7 @@ 
    Bind
    
 
 
    
 
    
 
    Bind rows
    
-
    (tc/bind x y)
    
+
    (tc/bind x y)
    
 
    _unnamed [6 1]:
    
 
@@ -36524,7 +36772,7 @@ 
    Bind
    
 
 
 
 
    
-
    (tc/bind x z)
    
+
    (tc/bind x z)
    
 
    _unnamed [6 2]:
    
 
@@ -36562,9 +36810,9 @@ 
    Bind
    
 
 
    
 
    
 
    Bind rows using a list
    
-
    (->> [x y]
-     (map-indexed #(tc/add-column %2 :id (repeat %1)))
-     (apply tc/bind))
    
+
    (->> [x y]
+     (map-indexed #(tc/add-column %2 :id (repeat %1)))
+     (apply tc/bind))
    
 
    _unnamed [6 2]:
    
 
@@ -36602,7 +36850,7 @@ 
    Bind
    
 
 
    
 
    
 
    Bind columns
    
-
    (tc/append x y)
    
+
    (tc/append x y)
    
 
    _unnamed [3 2]:
    
 
@@ -36629,9 +36877,9 @@ 
    Bind
    
 
    Set operations
    
-
    (def x (tc/dataset {:V1 [1 2 2 3 3]}))
-(def y (tc/dataset {:V1 [2 2 3 4 4]}))
    
-
    x y
    
+
    (def x (tc/dataset {:V1 [1 2 2 3 3]}))
+(def y (tc/dataset {:V1 [2 2 3 4 4]}))
    
+
    x y
    
 
    _unnamed [5 1]:
    
 
    
 
 
 
    
@@ -36684,7 +36932,7 @@ 
    Set operations
    
 
 
    
 
    
 
    Intersection
    
-
    (tc/intersect x y)
    
+
    (tc/intersect x y)
    
 
    intersection [2 1]:
    
 
@@ -36703,7 +36951,7 @@ 
    Set operations
    
 
 
    
 
    
 
    Difference
    
-
    (tc/difference x y)
    
+
    (tc/difference x y)
    
 
    difference [1 1]:
    
 
@@ -36719,7 +36967,7 @@ 
    Set operations
    
 
 
    
 
    
 
    Union
    
-
    (tc/union x y)
    
+
    (tc/union x y)
    
 
    union [4 1]:
    
 
@@ -36742,7 +36990,7 @@ 
    Set operations
    
 
 
 
 
    
-
    (tc/concat x y)
    
+
    (tc/concat x y)
    
 
    _unnamed [10 1]:
    
 
diff --git a/docs/index.md b/docs/index.md
index 9f793c4..75a41cc 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -29,7 +29,13 @@ pre.r::before {
 tech-ml-version
 ```
 
-“7.000-beta-27”
+“7.007”
+
+``` clojure
+tablecloth-version
+```
+
+“7.007”
 
 ## Introduction
 
@@ -108,7 +114,7 @@ DS
 ### Dataset
 
 Dataset is a special type which can be considered as a map of columns
-implemented around `tech.ml.datatype` library. Each column can be
+implemented around `tech.ml.dataset` library. Each column can be
 considered as named sequence of typed data. Supported types include
 integers, floats, string, boolean, date/time, objects etc.
 
@@ -497,7 +503,7 @@ Export dataset to a file or output stream can be done by calling
 (.exists (clojure.java.io/file "output.tsv.gz"))
 ```
 
-    nil
+    1462
     true
 
 ##### Nippy
@@ -647,6 +653,9 @@ Possible result types:
   - `:as-double-arrays` - array of double arrays
   - `:as-vecs` - sequence of vectors (rows)
 
+For `rows` setting `:nil-missing?` option to `false` will elide keys for
+nil values.
+
 -----
 
 Select column.
@@ -695,7 +704,7 @@ Rows as sequence of sequences
 (take 2 (tc/rows ds))
 ```
 
-    ([#object[java.time.LocalDate 0x30dbcd2e "2012-01-01"] 0.0 12.8 5.0 4.7 "drizzle"] [#object[java.time.LocalDate 0x61771bea "2012-01-02"] 10.9 10.6 2.8 4.5 "rain"])
+    ([#object[java.time.LocalDate 0x984a8ff "2012-01-01"] 0.0 12.8 5.0 4.7 "drizzle"] [#object[java.time.LocalDate 0x50abffbb "2012-01-02"] 10.9 10.6 2.8 4.5 "rain"])
 
 -----
 
@@ -708,7 +717,7 @@ Select rows/columns as double-double-array
     (tc/rows :as-double-arrays))
 ```
 
-    #object["[[D" 0x6234753e "[[D@6234753e"]
+    #object["[[D" 0x79132c97 "[[D@79132c97"]
 
 ``` clojure
 (-> ds
@@ -717,7 +726,7 @@ Select rows/columns as double-double-array
     (tc/columns :as-double-arrays))
 ```
 
-    #object["[[D" 0xd1d2ef "[[D@d1d2ef"]
+    #object["[[D" 0x20054172 "[[D@20054172"]
 
 -----
 
@@ -727,19 +736,43 @@ Rows as sequence of maps
 (clojure.pprint/pprint (take 2 (tc/rows ds :as-maps)))
 ```
 
-    ({"date" #object[java.time.LocalDate 0x31e18a3b "2012-01-01"],
+    ({"date" #object[java.time.LocalDate 0x2568ac82 "2012-01-01"],
       "precipitation" 0.0,
       "temp_max" 12.8,
       "temp_min" 5.0,
       "wind" 4.7,
       "weather" "drizzle"}
-     {"date" #object[java.time.LocalDate 0x4a5e789a "2012-01-02"],
+     {"date" #object[java.time.LocalDate 0x1eb7b9b5 "2012-01-02"],
       "precipitation" 10.9,
       "temp_max" 10.6,
       "temp_min" 2.8,
       "wind" 4.5,
       "weather" "rain"})
 
+-----
+
+Rows with missing values
+
+``` clojure
+(-> {:a [1 nil 2]
+     :b [3 4 nil]}
+    (tc/dataset)
+    (tc/rows :as-maps))
+```
+
+    [{:a 1, :b 3} {:a nil, :b 4} {:a 2, :b nil}]
+
+Rows with elided missing values
+
+``` clojure
+(-> {:a [1 nil 2]
+     :b [3 4 nil]}
+    (tc/dataset)
+    (tc/rows :as-maps {:nil-missing? false}))
+```
+
+    [{:a 1, :b 3} {:b 4} {:a 2}]
+
 #### Single entry
 
 Get single value from the table using `get-in` from Clojure API or
@@ -838,15 +871,14 @@ Grouping is done by calling `group-by` function with arguments:
   - `ds` - dataset
   - `grouping-selector` - what to use for grouping
   - options:
-      - `:result-type` - what to return:
-          - `:as-dataset` (default) - return grouped dataset
-          - `:as-indexes` - return rows ids (row number from original
-            dataset)
-          - `:as-map` - return map with group names as keys and
-            subdataset as values
-          - `:as-seq` - return sequens of subdatasets
-      - `:select-keys` - list of the columns passed to a grouping
-        selector function
+  - `:result-type` - what to return:
+  - `:as-dataset` (default) - return grouped dataset
+  - `:as-indexes` - return rows ids (row number from original dataset)
+  - `:as-map` - return map with group names as keys and subdataset as
+    values
+  - `:as-seq` - return sequens of subdatasets
+  - `:select-keys` - list of the columns passed to a grouping selector
+    function
 
 All subdatasets (groups) have set name as the group name, additionally
 `group-id` is in meta.
@@ -1659,9 +1691,8 @@ datasets. Result should be a dataset to have ungrouping working.
 
 ### Columns
 
-Column is a special `tech.ml.dataset` structure based on
-`tech.ml.datatype` library. For our purposes we cat treat columns as
-typed and named sequence bound to particular dataset.
+Column is a special `tech.ml.dataset` structure. For our purposes we cat
+treat columns as typed and named sequence bound to particular dataset.
 
 Type of the data is inferred from a sequence during column creation.
 
@@ -2046,7 +2077,7 @@ You can also pass mapping function with optional columns-selector
 
 \_unnamed \[9 4\]:
 
-| v1 | v2 | \[1 2 3\] |  |
+| v1 | v2 | \[1 2 3\] |  |
 | -: | -: | --------: | --------------------------- |
 |  1 |  1 |       0.5 | A                           |
 |  2 |  2 |       1.0 | B                           |
@@ -2118,7 +2149,7 @@ Function works on grouped dataset
 
 {1 Group: 1 \[5 4\]:
 
-| v1 | v2 | \[1 2 3\] |  |
+| v1 | v2 | \[1 2 3\] |  |
 | -: | -: | --------: | --------------------------- |
 |  1 |  1 |       0.5 | A                           |
 |  1 |  3 |       1.5 | C                           |
@@ -2128,7 +2159,7 @@ Function works on grouped dataset
 
 , 2 Group: 2 \[4 4\]:
 
-| v1 | v2 | \[1 2 3\] |  |
+| v1 | v2 | \[1 2 3\] |  |
 | -: | -: | --------: | --------------------------- |
 |  2 |  2 |       1.0 | B                           |
 |  2 |  4 |       0.5 | A                           |
@@ -2191,15 +2222,15 @@ Replace one column (column is trimmed)
 
 |        :V1 | :V2 | :V3 | :V4 |
 | ---------: | --: | --: | --- |
-| 0.50854543 |   1 | 0.5 | A   |
-| 0.47556577 |   2 | 1.0 | B   |
-| 0.98619343 |   3 | 1.5 | C   |
-| 0.10168184 |   4 | 0.5 | A   |
-| 0.93917738 |   5 | 1.0 | B   |
-| 0.00869040 |   6 | 1.5 | C   |
-| 0.16006011 |   7 | 0.5 | A   |
-| 0.41991088 |   8 | 1.0 | B   |
-| 0.42532345 |   9 | 1.5 | C   |
+| 0.57042246 |   1 | 0.5 | A   |
+| 0.13578430 |   2 | 1.0 | B   |
+| 0.25321219 |   3 | 1.5 | C   |
+| 0.57857626 |   4 | 0.5 | A   |
+| 0.16028849 |   5 | 1.0 | B   |
+| 0.72316224 |   6 | 1.5 | C   |
+| 0.88658725 |   7 | 0.5 | A   |
+| 0.34244968 |   8 | 1.0 | B   |
+| 0.47768587 |   9 | 1.5 | C   |
 
 -----
 
@@ -2472,15 +2503,15 @@ the map.
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
+|   1 |   3 | 0.5 | A   |
+|   2 |   4 | 1.0 | B   |
+|   1 |   5 | 1.5 | C   |
+|   2 |   2 | 0.5 | A   |
+|   1 |   8 | 1.0 | B   |
+|   2 |   7 | 1.5 | C   |
 |   1 |   6 | 0.5 | A   |
-|   2 |   2 | 1.0 | B   |
-|   1 |   8 | 1.5 | C   |
-|   2 |   3 | 0.5 | A   |
-|   1 |   9 | 1.0 | B   |
-|   2 |   5 | 1.5 | C   |
-|   1 |   1 | 0.5 | A   |
-|   2 |   7 | 1.0 | B   |
-|   1 |   4 | 1.5 | C   |
+|   2 |   9 | 1.0 | B   |
+|   1 |   1 | 1.5 | C   |
 
 #### Map
 
@@ -2734,7 +2765,7 @@ Double array conversion.
 (tc/->array DS :V1)
 ```
 
-    #object["[J" 0x5a9a8dc8 "[J@5a9a8dc8"]
+    #object["[J" 0x25e3f530 "[J@25e3f530"]
 
 -----
 
@@ -2746,7 +2777,7 @@ Function also works on grouped dataset
     (tc/->array :V2))
 ```
 
-    (#object["[J" 0x3cfdb2e6 "[J@3cfdb2e6"] #object["[J" 0x332062a1 "[J@332062a1"] #object["[J" 0x6d958571 "[J@6d958571"])
+    (#object["[J" 0x25fd244e "[J@25fd244e"] #object["[J" 0x7f84339b "[J@7f84339b"] #object["[J" 0x748c0b55 "[J@748c0b55"])
 
 -----
 
@@ -2757,8 +2788,8 @@ You can also cast the type to the other one (if casting is possible):
 (tc/->array DS :V1 :float32)
 ```
 
-    #object["[Ljava.lang.String;" 0x49dbb23d "[Ljava.lang.String;@49dbb23d"]
-    #object["[F" 0x63052b58 "[F@63052b58"]
+    #object["[Ljava.lang.String;" 0x777b4fdc "[Ljava.lang.String;@777b4fdc"]
+    #object["[F" 0x562064e1 "[F@562064e1"]
 
 ### Rows
 
@@ -2982,7 +3013,7 @@ Random row (single)
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
-|   2 |   6 | 1.5 | C   |
+|   1 |   7 | 0.5 | A   |
 
 -----
 
@@ -3010,15 +3041,15 @@ Random `n` (default: row count) rows with repetition.
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
+|   1 |   7 | 0.5 | A   |
+|   2 |   2 | 1.0 | B   |
+|   2 |   4 | 0.5 | A   |
+|   1 |   5 | 1.0 | B   |
 |   2 |   8 | 1.0 | B   |
-|   2 |   6 | 1.5 | C   |
+|   2 |   2 | 1.0 | B   |
 |   1 |   3 | 1.5 | C   |
 |   2 |   4 | 0.5 | A   |
-|   2 |   4 | 0.5 | A   |
-|   2 |   4 | 0.5 | A   |
 |   1 |   1 | 0.5 | A   |
-|   2 |   4 | 0.5 | A   |
-|   1 |   3 | 1.5 | C   |
 
 -----
 
@@ -3032,10 +3063,10 @@ Five random rows with repetition
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
-|   2 |   2 | 1.0 | B   |
 |   2 |   6 | 1.5 | C   |
-|   2 |   8 | 1.0 | B   |
-|   1 |   5 | 1.0 | B   |
+|   1 |   9 | 1.5 | C   |
+|   2 |   6 | 1.5 | C   |
+|   1 |   1 | 0.5 | A   |
 |   2 |   2 | 1.0 | B   |
 
 -----
@@ -3050,11 +3081,11 @@ Five random, non-repeating rows
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
-|   2 |   4 | 0.5 | A   |
-|   1 |   3 | 1.5 | C   |
-|   1 |   9 | 1.5 | C   |
+|   1 |   1 | 0.5 | A   |
 |   2 |   6 | 1.5 | C   |
+|   1 |   3 | 1.5 | C   |
 |   1 |   7 | 0.5 | A   |
+|   2 |   8 | 1.0 | B   |
 
 -----
 
@@ -3086,15 +3117,15 @@ Shuffle dataset
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
-|   2 |   6 | 1.5 | C   |
-|   1 |   1 | 0.5 | A   |
-|   1 |   5 | 1.0 | B   |
-|   1 |   9 | 1.5 | C   |
 |   2 |   4 | 0.5 | A   |
 |   1 |   3 | 1.5 | C   |
 |   2 |   8 | 1.0 | B   |
+|   1 |   9 | 1.5 | C   |
+|   1 |   5 | 1.0 | B   |
 |   2 |   2 | 1.0 | B   |
+|   1 |   1 | 0.5 | A   |
 |   1 |   7 | 0.5 | A   |
+|   2 |   6 | 1.5 | C   |
 
 -----
 
@@ -3222,21 +3253,21 @@ Select 5 random rows from each group
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
-|   2 |   4 | 0.5 | A   |
 |   1 |   1 | 0.5 | A   |
-|   2 |   4 | 0.5 | A   |
 |   1 |   1 | 0.5 | A   |
 |   1 |   7 | 0.5 | A   |
-|   2 |   8 | 1.0 | B   |
+|   1 |   1 | 0.5 | A   |
+|   1 |   7 | 0.5 | A   |
+|   1 |   5 | 1.0 | B   |
 |   2 |   2 | 1.0 | B   |
+|   1 |   5 | 1.0 | B   |
 |   2 |   8 | 1.0 | B   |
 |   2 |   8 | 1.0 | B   |
-|   1 |   5 | 1.0 | B   |
-|   2 |   6 | 1.5 | C   |
-|   2 |   6 | 1.5 | C   |
+|   1 |   3 | 1.5 | C   |
 |   2 |   6 | 1.5 | C   |
-|   1 |   9 | 1.5 | C   |
 |   1 |   3 | 1.5 | C   |
+|   1 |   3 | 1.5 | C   |
+|   2 |   6 | 1.5 | C   |
 
 ### Aggregate
 
@@ -3879,7 +3910,7 @@ Random
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
-|   1 |   7 | 0.5 | A   |
+|   1 |   5 | 1.0 | B   |
 |   2 |   8 | 1.0 | B   |
 
 -----
@@ -4105,9 +4136,10 @@ Missing values can be replaced using several strategies.
   - column selector, default: `:all`
   - strategy, default: `:nearest`
   - value (optional)
-  - single value
-  - sequence of values (cycled)
-  - function, applied on column(s) with stripped missings
+      - single value
+      - sequence of values (cycled)
+      - function, applied on column(s) with stripped missings
+      - map with \[index,value\] pairs
 
 Strategies are:
 
@@ -4297,6 +4329,34 @@ Replace missing with a function (mean)
 
 -----
 
+Replace missing some missing values with a map
+
+``` clojure
+(tc/replace-missing DSm2 :a :value {0 100 1 -100 14 -1000})
+```
+
+\_unnamed \[15 2\]:
+
+|       :a | :b |
+| -------: | -: |
+|    100.0 |  2 |
+|  \-100.0 |  2 |
+|          |  2 |
+|      1.0 |    |
+|      2.0 |    |
+|          |    |
+|          |    |
+|          |    |
+|          |    |
+|          | 13 |
+|      4.0 |    |
+|          |  3 |
+|     11.0 |  4 |
+|          |  5 |
+| \-1000.0 |  5 |
+
+-----
+
 Using `:down` strategy, fills gaps with values from above. You can see
 that if missings are at the beginning, the are filled with first value
 
@@ -5333,9 +5393,9 @@ and the other way around:
     
     | :x |          :y |
     |----|-------------|
-    | :a | [D@7113e08d |
-    | :b | [D@6f8ff734 |
-    | :c | [D@4f848b2c |
+    | :a | [D@7e2283b5 |
+    | :b | [D@3053ba90 |
+    | :c | [D@2914b2c4 |
 
 ### Fold/Unroll Rows
 
@@ -6036,10 +6096,10 @@ pnl
 
 | :x | :a | :b |        :y1 |        :y2 | :z1 | :z2 |
 | -: | -: | -: | ---------: | ---------: | --: | --: |
-|  1 |  1 |  0 | 0.99642662 | 0.93875701 |   3 | \-2 |
-|  2 |  1 |  1 | 0.08214438 | 0.12594286 |   3 | \-2 |
-|  3 |  0 |  1 | 0.87562645 | 0.41126123 |   3 | \-2 |
-|  4 |  0 |  1 | 0.00039982 | 0.97374802 |   3 | \-2 |
+|  1 |  1 |  0 | 0.27096269 | 0.62880649 |   3 | \-2 |
+|  2 |  1 |  1 | 0.40219530 | 0.89099479 |   3 | \-2 |
+|  3 |  0 |  1 | 0.50153305 | 0.76501136 |   3 | \-2 |
+|  4 |  0 |  1 | 0.23239340 | 0.63105024 |   3 | \-2 |
 
 ``` clojure
 (tc/pivot->longer pnl [:y1 :y2 :z1 :z2] {:target-columns [nil :times]
@@ -6050,14 +6110,14 @@ pnl
 
 | :x | :a | :b | :times |          y |   z |
 | -: | -: | -: | -----: | ---------: | --: |
-|  1 |  1 |  0 |      1 | 0.99642662 |   3 |
-|  2 |  1 |  1 |      1 | 0.08214438 |   3 |
-|  3 |  0 |  1 |      1 | 0.87562645 |   3 |
-|  4 |  0 |  1 |      1 | 0.00039982 |   3 |
-|  1 |  1 |  0 |      2 | 0.93875701 | \-2 |
-|  2 |  1 |  1 |      2 | 0.12594286 | \-2 |
-|  3 |  0 |  1 |      2 | 0.41126123 | \-2 |
-|  4 |  0 |  1 |      2 | 0.97374802 | \-2 |
+|  1 |  1 |  0 |      1 | 0.27096269 |   3 |
+|  2 |  1 |  1 |      1 | 0.40219530 |   3 |
+|  3 |  0 |  1 |      1 | 0.50153305 |   3 |
+|  4 |  0 |  1 |      1 | 0.23239340 |   3 |
+|  1 |  1 |  0 |      2 | 0.62880649 | \-2 |
+|  2 |  1 |  1 |      2 | 0.89099479 | \-2 |
+|  3 |  0 |  1 |      2 | 0.76501136 | \-2 |
+|  4 |  0 |  1 |      2 | 0.63105024 | \-2 |
 
 #### Wider
 
@@ -6915,6 +6975,11 @@ column names separate for left and right dataset.
 The difference between `tech.ml.dataset` join functions are: arguments
 order (first datasets) and possibility to join on multiple columns.
 
+Multiple columns joins create temporary index column from column
+selection. The method for creating index is based on `:hashing` option
+and defaults to `identity`. Prior to `7.000-beta-50` `hash` function was
+used, which caused hash collision for certain cases.
+
 Additionally set operations are defined: `intersect` and `difference`.
 
 To concat two datasets rowwise you can choose:
@@ -7649,6 +7714,40 @@ anti-join \[4 5\]:
 |  7 |  4 | 106 | t  | X  |
 |  8 |  2 | 104 | b  | X  |
 
+#### Hashing
+
+When `:hashing` option is used, data from join columns are preprocessed
+by applying `join-columns` funtion with `:result-type` set to the value
+of `:hashing`. This helps to create custom joining behaviour. Function
+used for hashing will get vector of row values from join columns.
+
+In the following example we will join columns on value modulo 5.
+
+``` clojure
+(tc/left-join ds1 ds2 :b {:hashing (fn [[v]] (mod v 5))})
+```
+
+left-outer-join \[16 8\]:
+
+| :a |  :b | :c | :right.a | :right.b | :right.c | :d | :e |
+| -: | --: | -- | -------: | -------: | -------- | -- | -: |
+|  3 | 105 | t  |          |      110 | d        | X  |  3 |
+|  2 | 104 |    |        1 |      109 | a        | X  |  4 |
+|  4 | 109 | t  |        1 |      109 | a        | X  |  4 |
+|  1 | 103 | s  |        2 |      108 | t        | X  |  5 |
+|    | 108 | c  |        2 |      108 | t        | X  |  5 |
+|  2 | 102 | b  |        5 |      107 | a        | X  |  6 |
+|    | 107 | a  |        5 |      107 | a        | X  |  6 |
+|  1 | 101 | a  |        4 |      106 | t        | X  |  7 |
+|  4 | 106 | r  |        4 |      106 | t        | X  |  7 |
+|  3 | 105 | t  |        3 |      105 | a        | X  |    |
+|  2 | 104 |    |        2 |      104 | b        | X  |  8 |
+|  4 | 109 | t  |        2 |      104 | b        | X  |  8 |
+|  1 | 103 | s  |        1 |      103 | l        | X  |  1 |
+|    | 108 | c  |        1 |      103 | l        | X  |  1 |
+|  2 | 102 | b  |          |      102 | e        | X  |  1 |
+|    | 107 | a  |          |      102 | e        | X  |  1 |
+
 #### Cross
 
 Cross product from selected columns
@@ -8008,28 +8107,28 @@ asof-\>= \[3 4\]:
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
-|   1 |   7 | 0.5 | A   |
-|   1 |   9 | 1.5 | C   |
-|   1 |   1 | 0.5 | A   |
-|   1 |   5 | 1.0 | B   |
-|   2 |   6 | 1.5 | C   |
 |   2 |   2 | 1.0 | B   |
-|   2 |   2 | 1.0 | B   |
-|   2 |   4 | 0.5 | A   |
 |   1 |   3 | 1.5 | C   |
-|   2 |   6 | 1.5 | C   |
-|   … |   … |   … | …   |
-|   2 |   6 | 1.5 | C   |
-|   1 |   1 | 0.5 | A   |
 |   1 |   5 | 1.0 | B   |
 |   1 |   1 | 0.5 | A   |
-|   1 |   1 | 0.5 | A   |
 |   1 |   5 | 1.0 | B   |
 |   2 |   6 | 1.5 | C   |
-|   2 |   2 | 1.0 | B   |
-|   1 |   5 | 1.0 | B   |
+|   1 |   9 | 1.5 | C   |
+|   1 |   9 | 1.5 | C   |
+|   2 |   4 | 0.5 | A   |
 |   1 |   7 | 0.5 | A   |
+|   … |   … |   … | …   |
+|   1 |   1 | 0.5 | A   |
+|   2 |   2 | 1.0 | B   |
+|   2 |   2 | 1.0 | B   |
+|   1 |   9 | 1.5 | C   |
+|   2 |   8 | 1.0 | B   |
+|   2 |   8 | 1.0 | B   |
 |   1 |   3 | 1.5 | C   |
+|   2 |   4 | 0.5 | A   |
+|   1 |   7 | 0.5 | A   |
+|   2 |   4 | 0.5 | A   |
+|   2 |   4 | 0.5 | A   |
 
 ##### Concat grouped dataset
 
@@ -8092,15 +8191,15 @@ union \[9 4\]:
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
+|   2 |   2 | 1.0 | B   |
 |   1 |   3 | 1.5 | C   |
 |   2 |   8 | 1.0 | B   |
 |   1 |   9 | 1.5 | C   |
-|   1 |   5 | 1.0 | B   |
 |   1 |   1 | 0.5 | A   |
+|   1 |   5 | 1.0 | B   |
+|   1 |   7 | 0.5 | A   |
 |   2 |   4 | 0.5 | A   |
 |   2 |   6 | 1.5 | C   |
-|   2 |   2 | 1.0 | B   |
-|   1 |   7 | 0.5 | A   |
 
 #### Bind
 
@@ -8289,28 +8388,28 @@ for-splitting
 
 | :id | :partition | :group |
 | --: | ---------- | ------ |
-|   0 | :a         | :g3    |
+|   0 | :a         | :g2    |
 |   1 | :a         | :g2    |
 |   2 | :a         | :g1    |
-|   3 | :a         | :g3    |
-|   4 | :a         | :g2    |
-|   5 | :a         | :g1    |
-|   6 | :a         | :g3    |
+|   3 | :a         | :g1    |
+|   4 | :a         | :g1    |
+|   5 | :a         | :g2    |
+|   6 | :a         | :g1    |
 |   7 | :a         | :g3    |
 |   8 | :a         | :g1    |
-|   9 | :a         | :g3    |
+|   9 | :a         | :g1    |
 |   … | …          | …      |
-|  14 | :a         | :g1    |
-|  15 | :a         | :g3    |
-|  16 | :a         | :g3    |
+|  14 | :a         | :g3    |
+|  15 | :a         | :g1    |
+|  16 | :a         | :g2    |
 |  17 | :a         | :g3    |
-|  18 | :a         | :g3    |
+|  18 | :a         | :g1    |
 |  19 | :a         | :g1    |
-|  20 | :b         | :g1    |
+|  20 | :b         | :g2    |
 |  21 | :b         | :g2    |
-|  22 | :b         | :g1    |
-|  23 | :b         | :g1    |
-|  24 | :b         | :g2    |
+|  22 | :b         | :g3    |
+|  23 | :b         | :g2    |
+|  24 | :b         | :g1    |
 
 #### k-Fold
 
@@ -8326,36 +8425,36 @@ Returns `k=5` maps
 
 | :id | :partition | :group | :\(split-name | :\)split-id |   |
 | --: | ---------- | ------ | --------------------------- | -: |
-|  14 | :a         | :g1    | :train                      | 0 |
-|  21 | :b         | :g2    | :train                      | 0 |
-|  12 | :a         | :g2    | :train                      | 0 |
-|  16 | :a         | :g3    | :train                      | 0 |
+|   8 | :a         | :g1    | :train                      | 0 |
 |  17 | :a         | :g3    | :train                      | 0 |
-|  13 | :a         | :g3    | :train                      | 0 |
-|  20 | :b         | :g1    | :train                      | 0 |
-|  15 | :a         | :g3    | :train                      | 0 |
-|   6 | :a         | :g3    | :train                      | 0 |
-|   7 | :a         | :g3    | :train                      | 0 |
-|   3 | :a         | :g3    | :train                      | 0 |
-|   4 | :a         | :g2    | :train                      | 0 |
+|  13 | :a         | :g2    | :train                      | 0 |
+|  23 | :b         | :g2    | :train                      | 0 |
 |   2 | :a         | :g1    | :train                      | 0 |
-|  24 | :b         | :g2    | :train                      | 0 |
+|  15 | :a         | :g1    | :train                      | 0 |
+|   7 | :a         | :g3    | :train                      | 0 |
+|  20 | :b         | :g2    | :train                      | 0 |
+|  22 | :b         | :g3    | :train                      | 0 |
+|  14 | :a         | :g3    | :train                      | 0 |
 |  11 | :a         | :g2    | :train                      | 0 |
-|  23 | :b         | :g1    | :train                      | 0 |
-|  10 | :a         | :g2    | :train                      | 0 |
-|  18 | :a         | :g3    | :train                      | 0 |
+|   4 | :a         | :g1    | :train                      | 0 |
+|   1 | :a         | :g2    | :train                      | 0 |
+|   6 | :a         | :g1    | :train                      | 0 |
+|   0 | :a         | :g2    | :train                      | 0 |
+|  16 | :a         | :g2    | :train                      | 0 |
+|  12 | :a         | :g2    | :train                      | 0 |
+|  18 | :a         | :g1    | :train                      | 0 |
 |  19 | :a         | :g1    | :train                      | 0 |
-|   8 | :a         | :g1    | :train                      | 0 |
-|  22 | :b         | :g1    | :test                       | 0 |
-|   5 | :a         | :g1    | :test                       | 0 |
-|   1 | :a         | :g2    | :test                       | 0 |
-|   9 | :a         | :g3    | :test                       | 0 |
-|   0 | :a         | :g3    | :test                       | 0 |
-|  22 | :b         | :g1    | :train                      | 1 |
-|   5 | :a         | :g1    | :train                      | 1 |
-|   1 | :a         | :g2    | :train                      | 1 |
-|   9 | :a         | :g3    | :train                      | 1 |
-|   0 | :a         | :g3    | :train                      | 1 |
+|   5 | :a         | :g2    | :train                      | 0 |
+|  24 | :b         | :g1    | :test                       | 0 |
+|   3 | :a         | :g1    | :test                       | 0 |
+|   9 | :a         | :g1    | :test                       | 0 |
+|  10 | :a         | :g3    | :test                       | 0 |
+|  21 | :b         | :g2    | :test                       | 0 |
+|  24 | :b         | :g1    | :train                      | 1 |
+|   3 | :a         | :g1    | :train                      | 1 |
+|   9 | :a         | :g1    | :train                      | 1 |
+|  10 | :a         | :g3    | :train                      | 1 |
+|  21 | :b         | :g2    | :train                      | 1 |
 
 Partition according to `:k` column to reflect it’s distribution
 
@@ -8369,36 +8468,36 @@ Partition according to `:k` column to reflect it’s distribution
 
 | :id | :partition | :group | :\(split-name | :\)split-id |   |
 | --: | ---------- | ------ | --------------------------- | -: |
-|   6 | :a         | :g3    | :train                      | 0 |
-|   9 | :a         | :g3    | :train                      | 0 |
-|  17 | :a         | :g3    | :train                      | 0 |
-|  13 | :a         | :g3    | :train                      | 0 |
-|  11 | :a         | :g2    | :train                      | 0 |
-|   5 | :a         | :g1    | :train                      | 0 |
-|   1 | :a         | :g2    | :train                      | 0 |
-|  18 | :a         | :g3    | :train                      | 0 |
-|  10 | :a         | :g2    | :train                      | 0 |
-|  19 | :a         | :g1    | :train                      | 0 |
-|   3 | :a         | :g3    | :train                      | 0 |
-|   4 | :a         | :g2    | :train                      | 0 |
 |   2 | :a         | :g1    | :train                      | 0 |
+|  18 | :a         | :g1    | :train                      | 0 |
+|  17 | :a         | :g3    | :train                      | 0 |
 |   8 | :a         | :g1    | :train                      | 0 |
-|   0 | :a         | :g3    | :train                      | 0 |
-|  14 | :a         | :g1    | :train                      | 0 |
+|  12 | :a         | :g2    | :train                      | 0 |
+|   3 | :a         | :g1    | :train                      | 0 |
+|  13 | :a         | :g2    | :train                      | 0 |
+|  19 | :a         | :g1    | :train                      | 0 |
+|  14 | :a         | :g3    | :train                      | 0 |
+|   1 | :a         | :g2    | :train                      | 0 |
+|  11 | :a         | :g2    | :train                      | 0 |
+|   9 | :a         | :g1    | :train                      | 0 |
+|  10 | :a         | :g3    | :train                      | 0 |
+|   5 | :a         | :g2    | :train                      | 0 |
+|  15 | :a         | :g1    | :train                      | 0 |
+|   4 | :a         | :g1    | :train                      | 0 |
 |   7 | :a         | :g3    | :test                       | 0 |
-|  15 | :a         | :g3    | :test                       | 0 |
-|  12 | :a         | :g2    | :test                       | 0 |
-|  16 | :a         | :g3    | :test                       | 0 |
+|  16 | :a         | :g2    | :test                       | 0 |
+|   6 | :a         | :g1    | :test                       | 0 |
+|   0 | :a         | :g2    | :test                       | 0 |
 |   7 | :a         | :g3    | :train                      | 1 |
-|  15 | :a         | :g3    | :train                      | 1 |
+|  16 | :a         | :g2    | :train                      | 1 |
+|   6 | :a         | :g1    | :train                      | 1 |
+|   0 | :a         | :g2    | :train                      | 1 |
 |  12 | :a         | :g2    | :train                      | 1 |
-|  16 | :a         | :g3    | :train                      | 1 |
-|  11 | :a         | :g2    | :train                      | 1 |
-|   5 | :a         | :g1    | :train                      | 1 |
-|   1 | :a         | :g2    | :train                      | 1 |
-|  18 | :a         | :g3    | :train                      | 1 |
-|  10 | :a         | :g2    | :train                      | 1 |
+|   3 | :a         | :g1    | :train                      | 1 |
+|  13 | :a         | :g2    | :train                      | 1 |
 |  19 | :a         | :g1    | :train                      | 1 |
+|  14 | :a         | :g3    | :train                      | 1 |
+|   1 | :a         | :g2    | :train                      | 1 |
 
 #### Bootstrap
 
@@ -8410,28 +8509,28 @@ Partition according to `:k` column to reflect it’s distribution
 
 | :id | :partition | :group | :\(split-name | :\)split-id |   |
 | --: | ---------- | ------ | --------------------------- | -: |
-|   5 | :a         | :g1    | :train                      | 0 |
+|  12 | :a         | :g2    | :train                      | 0 |
+|   1 | :a         | :g2    | :train                      | 0 |
 |   2 | :a         | :g1    | :train                      | 0 |
-|  16 | :a         | :g3    | :train                      | 0 |
-|   6 | :a         | :g3    | :train                      | 0 |
 |  19 | :a         | :g1    | :train                      | 0 |
-|  20 | :b         | :g1    | :train                      | 0 |
-|  21 | :b         | :g2    | :train                      | 0 |
-|   9 | :a         | :g3    | :train                      | 0 |
-|  23 | :b         | :g1    | :train                      | 0 |
-|   5 | :a         | :g1    | :train                      | 0 |
+|   2 | :a         | :g1    | :train                      | 0 |
+|  12 | :a         | :g2    | :train                      | 0 |
+|   2 | :a         | :g1    | :train                      | 0 |
+|   1 | :a         | :g2    | :train                      | 0 |
+|   0 | :a         | :g2    | :train                      | 0 |
+|   8 | :a         | :g1    | :train                      | 0 |
 |   … | …          | …      | …                           | … |
-|   9 | :a         | :g3    | :train                      | 0 |
-|  22 | :b         | :g1    | :train                      | 0 |
-|   0 | :a         | :g3    | :test                       | 0 |
-|   3 | :a         | :g3    | :test                       | 0 |
-|   4 | :a         | :g2    | :test                       | 0 |
-|   7 | :a         | :g3    | :test                       | 0 |
-|   8 | :a         | :g1    | :test                       | 0 |
-|  10 | :a         | :g2    | :test                       | 0 |
-|  17 | :a         | :g3    | :test                       | 0 |
-|  18 | :a         | :g3    | :test                       | 0 |
-|  24 | :b         | :g2    | :test                       | 0 |
+|  22 | :b         | :g3    | :train                      | 0 |
+|  15 | :a         | :g1    | :train                      | 0 |
+|   3 | :a         | :g1    | :test                       | 0 |
+|   5 | :a         | :g2    | :test                       | 0 |
+|   6 | :a         | :g1    | :test                       | 0 |
+|   9 | :a         | :g1    | :test                       | 0 |
+|  11 | :a         | :g2    | :test                       | 0 |
+|  13 | :a         | :g2    | :test                       | 0 |
+|  16 | :a         | :g2    | :test                       | 0 |
+|  21 | :b         | :g2    | :test                       | 0 |
+|  23 | :b         | :g2    | :test                       | 0 |
 
 with repeats, to get 100 splits
 
@@ -8457,28 +8556,28 @@ with small ratio
 
 | :id | :partition | :group | :\(split-name | :\)split-id |   |
 | --: | ---------- | ------ | --------------------------- | -: |
-|  11 | :a         | :g2    | :train                      | 0 |
-|  17 | :a         | :g3    | :train                      | 0 |
-|  20 | :b         | :g1    | :train                      | 0 |
-|   0 | :a         | :g3    | :train                      | 0 |
-|  15 | :a         | :g3    | :train                      | 0 |
-|  14 | :a         | :g1    | :test                       | 0 |
-|   3 | :a         | :g3    | :test                       | 0 |
-|  18 | :a         | :g3    | :test                       | 0 |
-|   1 | :a         | :g2    | :test                       | 0 |
+|   7 | :a         | :g3    | :train                      | 0 |
+|  21 | :b         | :g2    | :train                      | 0 |
+|  22 | :b         | :g3    | :train                      | 0 |
+|  12 | :a         | :g2    | :train                      | 0 |
+|   5 | :a         | :g2    | :train                      | 0 |
+|  13 | :a         | :g2    | :test                       | 0 |
+|  17 | :a         | :g3    | :test                       | 0 |
+|   8 | :a         | :g1    | :test                       | 0 |
 |   2 | :a         | :g1    | :test                       | 0 |
+|  15 | :a         | :g1    | :test                       | 0 |
 |   … | …          | …      | …                           | … |
-|   9 | :a         | :g3    | :test                       | 0 |
-|  16 | :a         | :g3    | :test                       | 0 |
-|  13 | :a         | :g3    | :test                       | 0 |
-|   6 | :a         | :g3    | :test                       | 0 |
-|  24 | :b         | :g2    | :test                       | 0 |
-|  23 | :b         | :g1    | :test                       | 0 |
-|   8 | :a         | :g1    | :test                       | 0 |
-|   5 | :a         | :g1    | :test                       | 0 |
-|  10 | :a         | :g2    | :test                       | 0 |
+|   1 | :a         | :g2    | :test                       | 0 |
+|   3 | :a         | :g1    | :test                       | 0 |
+|  23 | :b         | :g2    | :test                       | 0 |
+|   6 | :a         | :g1    | :test                       | 0 |
 |  19 | :a         | :g1    | :test                       | 0 |
-|   7 | :a         | :g3    | :test                       | 0 |
+|  24 | :b         | :g1    | :test                       | 0 |
+|  10 | :a         | :g3    | :test                       | 0 |
+|   9 | :a         | :g1    | :test                       | 0 |
+|  14 | :a         | :g3    | :test                       | 0 |
+|  18 | :a         | :g1    | :test                       | 0 |
+|  16 | :a         | :g2    | :test                       | 0 |
 
 you can split to more than two subdatasets with holdout
 
@@ -8490,28 +8589,28 @@ you can split to more than two subdatasets with holdout
 
 | :id | :partition | :group | :\(split-name | :\)split-id |   |
 | --: | ---------- | ------ | --------------------------- | -: |
-|  15 | :a         | :g3    | :train                      | 0 |
-|   5 | :a         | :g1    | :train                      | 0 |
-|  23 | :b         | :g1    | :test                       | 0 |
-|  17 | :a         | :g3    | :test                       | 0 |
-|  12 | :a         | :g2    | :test                       | 0 |
-|  19 | :a         | :g1    | :test                       | 0 |
-|  24 | :b         | :g2    | :test                       | 0 |
-|  22 | :b         | :g1    | :split-2                    | 0 |
-|   3 | :a         | :g3    | :split-2                    | 0 |
-|   4 | :a         | :g2    | :split-2                    | 0 |
+|  15 | :a         | :g1    | :train                      | 0 |
+|   1 | :a         | :g2    | :train                      | 0 |
+|  24 | :b         | :g1    | :test                       | 0 |
+|  21 | :b         | :g2    | :test                       | 0 |
+|   2 | :a         | :g1    | :test                       | 0 |
+|  16 | :a         | :g2    | :test                       | 0 |
+|  23 | :b         | :g2    | :test                       | 0 |
+|  17 | :a         | :g3    | :split-2                    | 0 |
+|  13 | :a         | :g2    | :split-2                    | 0 |
+|  18 | :a         | :g1    | :split-2                    | 0 |
 |   … | …          | …      | …                           | … |
-|   1 | :a         | :g2    | :split-3                    | 0 |
-|  11 | :a         | :g2    | :split-3                    | 0 |
-|   8 | :a         | :g1    | :split-3                    | 0 |
-|   6 | :a         | :g3    | :split-4                    | 0 |
-|   2 | :a         | :g1    | :split-4                    | 0 |
-|  20 | :b         | :g1    | :split-4                    | 0 |
-|  13 | :a         | :g3    | :split-4                    | 0 |
-|  18 | :a         | :g3    | :split-4                    | 0 |
-|   9 | :a         | :g3    | :split-4                    | 0 |
-|   0 | :a         | :g3    | :split-4                    | 0 |
-|  16 | :a         | :g3    | :split-4                    | 0 |
+|   7 | :a         | :g3    | :split-3                    | 0 |
+|   5 | :a         | :g2    | :split-3                    | 0 |
+|   9 | :a         | :g1    | :split-3                    | 0 |
+|  19 | :a         | :g1    | :split-4                    | 0 |
+|  20 | :b         | :g2    | :split-4                    | 0 |
+|   4 | :a         | :g1    | :split-4                    | 0 |
+|   8 | :a         | :g1    | :split-4                    | 0 |
+|   6 | :a         | :g1    | :split-4                    | 0 |
+|  11 | :a         | :g2    | :split-4                    | 0 |
+|   3 | :a         | :g1    | :split-4                    | 0 |
+|  22 | :b         | :g3    | :split-4                    | 0 |
 
 you can use also proportions with custom names
 
@@ -8524,28 +8623,28 @@ you can use also proportions with custom names
 
 | :id | :partition | :group | :\(split-name | :\)split-id |   |
 | --: | ---------- | ------ | --------------------------- | -: |
-|  24 | :b         | :g2    | small                       | 0 |
-|  11 | :a         | :g2    | small                       | 0 |
-|   7 | :a         | :g3    | small                       | 0 |
-|   6 | :a         | :g3    | small                       | 0 |
-|  14 | :a         | :g1    | small                       | 0 |
-|   3 | :a         | :g3    | smaller                     | 0 |
-|  12 | :a         | :g2    | smaller                     | 0 |
-|   9 | :a         | :g3    | smaller                     | 0 |
-|   0 | :a         | :g3    | big                         | 0 |
-|  19 | :a         | :g1    | big                         | 0 |
-|   … | …          | …      | …                           | … |
-|  18 | :a         | :g3    | big                         | 0 |
-|   8 | :a         | :g1    | big                         | 0 |
-|   4 | :a         | :g2    | big                         | 0 |
-|   1 | :a         | :g2    | big                         | 0 |
-|  10 | :a         | :g2    | big                         | 0 |
+|  22 | :b         | :g3    | small                       | 0 |
+|  23 | :b         | :g2    | small                       | 0 |
+|   1 | :a         | :g2    | small                       | 0 |
+|  24 | :b         | :g1    | small                       | 0 |
+|  13 | :a         | :g2    | small                       | 0 |
+|  17 | :a         | :g3    | smaller                     | 0 |
+|   9 | :a         | :g1    | smaller                     | 0 |
+|   8 | :a         | :g1    | smaller                     | 0 |
 |  21 | :b         | :g2    | big                         | 0 |
-|   2 | :a         | :g1    | big                         | 0 |
-|  17 | :a         | :g3    | the rest                    | 0 |
-|  13 | :a         | :g3    | the rest                    | 0 |
-|  16 | :a         | :g3    | the rest                    | 0 |
-|   5 | :a         | :g1    | the rest                    | 0 |
+|  15 | :a         | :g1    | big                         | 0 |
+|   … | …          | …      | …                           | … |
+|   5 | :a         | :g2    | big                         | 0 |
+|   7 | :a         | :g3    | big                         | 0 |
+|  16 | :a         | :g2    | big                         | 0 |
+|  12 | :a         | :g2    | big                         | 0 |
+|   6 | :a         | :g1    | big                         | 0 |
+|  20 | :b         | :g2    | big                         | 0 |
+|   0 | :a         | :g2    | big                         | 0 |
+|  10 | :a         | :g3    | the rest                    | 0 |
+|  14 | :a         | :g3    | the rest                    | 0 |
+|  19 | :a         | :g1    | the rest                    | 0 |
+|  11 | :a         | :g2    | the rest                    | 0 |
 
 #### Holdouts
 
@@ -8597,36 +8696,36 @@ splits with ascending rows in train dataset.
 
 | :id | :partition | :group | :\(split-name | :\)split-id |   |
 | --: | ---------- | ------ | --------------------------- | -: |
-|  17 | :a         | :g3    | :train                      | 0 |
-|   4 | :a         | :g2    | :train                      | 0 |
-|   3 | :a         | :g3    | :train                      | 0 |
-|  14 | :a         | :g1    | :train                      | 0 |
-|  20 | :b         | :g1    | :train                      | 0 |
-|  24 | :b         | :g2    | :train                      | 0 |
-|  16 | :a         | :g3    | :train                      | 0 |
-|  13 | :a         | :g3    | :train                      | 0 |
+|   8 | :a         | :g1    | :train                      | 0 |
+|   7 | :a         | :g3    | :train                      | 0 |
+|  20 | :b         | :g2    | :train                      | 0 |
+|  14 | :a         | :g3    | :train                      | 0 |
+|  15 | :a         | :g1    | :train                      | 0 |
+|  18 | :a         | :g1    | :train                      | 0 |
 |  11 | :a         | :g2    | :train                      | 0 |
-|  10 | :a         | :g2    | :train                      | 0 |
-|  22 | :b         | :g1    | :train                      | 0 |
-|   2 | :a         | :g1    | :train                      | 0 |
-|   6 | :a         | :g3    | :train                      | 0 |
-|   0 | :a         | :g3    | :train                      | 0 |
+|  24 | :b         | :g1    | :train                      | 0 |
+|  23 | :b         | :g2    | :train                      | 0 |
+|   4 | :a         | :g1    | :train                      | 0 |
+|   6 | :a         | :g1    | :train                      | 0 |
+|  13 | :a         | :g2    | :train                      | 0 |
+|   5 | :a         | :g2    | :train                      | 0 |
+|  12 | :a         | :g2    | :train                      | 0 |
+|   9 | :a         | :g1    | :train                      | 0 |
+|  10 | :a         | :g3    | :train                      | 0 |
 |  19 | :a         | :g1    | :train                      | 0 |
-|   5 | :a         | :g1    | :train                      | 0 |
-|  23 | :b         | :g1    | :train                      | 0 |
-|   1 | :a         | :g2    | :train                      | 0 |
+|  16 | :a         | :g2    | :train                      | 0 |
+|  17 | :a         | :g3    | :train                      | 0 |
+|   3 | :a         | :g1    | :train                      | 0 |
+|   2 | :a         | :g1    | :train                      | 0 |
 |  21 | :b         | :g2    | :train                      | 0 |
-|  15 | :a         | :g3    | :train                      | 0 |
-|  12 | :a         | :g2    | :train                      | 0 |
-|   7 | :a         | :g3    | :train                      | 0 |
-|   8 | :a         | :g1    | :train                      | 0 |
-|  18 | :a         | :g3    | :train                      | 0 |
-|   9 | :a         | :g3    | :test                       | 0 |
-|   9 | :a         | :g3    | :train                      | 1 |
-|   4 | :a         | :g2    | :train                      | 1 |
-|   3 | :a         | :g3    | :train                      | 1 |
-|  14 | :a         | :g1    | :train                      | 1 |
-|  20 | :b         | :g1    | :train                      | 1 |
+|   1 | :a         | :g2    | :train                      | 0 |
+|   0 | :a         | :g2    | :train                      | 0 |
+|  22 | :b         | :g3    | :test                       | 0 |
+|  22 | :b         | :g3    | :train                      | 1 |
+|   7 | :a         | :g3    | :train                      | 1 |
+|  20 | :b         | :g2    | :train                      | 1 |
+|  14 | :a         | :g3    | :train                      | 1 |
+|  15 | :a         | :g1    | :train                      | 1 |
 
 ``` clojure
 (-> for-splitting
@@ -8648,9 +8747,9 @@ splits with ascending rows in train dataset.
 
 | :name | :group-id | :data                            |
 | ----- | --------: | -------------------------------- |
-| :g3   |         0 | Group: :g3, (splitted) \[13 5\]: |
-| :g2   |         1 | Group: :g2, (splitted) \[8 5\]:  |
-| :g1   |         2 | Group: :g1, (splitted) \[9 5\]:  |
+| :g2   |         0 | Group: :g2, (splitted) \[12 5\]: |
+| :g1   |         1 | Group: :g1, (splitted) \[12 5\]: |
+| :g3   |         2 | Group: :g3, (splitted) \[7 5\]:  |
 
 #### Split as a sequence
 
@@ -8666,36 +8765,36 @@ To get a sequence of pairs, use `split->seq` function
 
 | :id | :partition | :group |
 | --: | ---------- | ------ |
-|   5 | :a         | :g1    |
-|  16 | :a         | :g3    |
-|  10 | :a         | :g2    |
+|  14 | :a         | :g3    |
+|   9 | :a         | :g1    |
 |   1 | :a         | :g2    |
-|   7 | :a         | :g3    |
-|   3 | :a         | :g3    |
+|  10 | :a         | :g3    |
 |  11 | :a         | :g2    |
-|   6 | :a         | :g3    |
-|  14 | :a         | :g1    |
-|   4 | :a         | :g2    |
-|  15 | :a         | :g3    |
-|  18 | :a         | :g3    |
-|   0 | :a         | :g3    |
-|   2 | :a         | :g1    |
-|  12 | :a         | :g2    |
 |  17 | :a         | :g3    |
+|  16 | :a         | :g2    |
+|  19 | :a         | :g1    |
+|   3 | :a         | :g1    |
+|  15 | :a         | :g1    |
+|   4 | :a         | :g1    |
+|   8 | :a         | :g1    |
+|   6 | :a         | :g1    |
+|   7 | :a         | :g3    |
+|   5 | :a         | :g2    |
+|  12 | :a         | :g2    |
 |  21 | :b         | :g2    |
-|  22 | :b         | :g1    |
-|  23 | :b         | :g1    |
-|  24 | :b         | :g2    |
+|  23 | :b         | :g2    |
+|  20 | :b         | :g2    |
+|  22 | :b         | :g3    |
 
 , :test Group: 0 \[5 3\]:
 
 | :id | :partition | :group |
 | --: | ---------- | ------ |
-|   9 | :a         | :g3    |
-|   8 | :a         | :g1    |
-|  19 | :a         | :g1    |
-|  13 | :a         | :g3    |
-|  20 | :b         | :g1    |
+|  18 | :a         | :g1    |
+|   2 | :a         | :g1    |
+|   0 | :a         | :g2    |
+|  13 | :a         | :g2    |
+|  24 | :b         | :g1    |
 
 }
 
@@ -8706,50 +8805,48 @@ To get a sequence of pairs, use `split->seq` function
     (first))
 ```
 
-\[:g3 ({:train Group: 0 \[8 3\]:
+\[:g2 ({:train Group: 0 \[9 3\]:
 
 | :id | :partition | :group |
 | --: | ---------- | ------ |
-|   7 | :a         | :g3    |
-|  15 | :a         | :g3    |
-|  15 | :a         | :g3    |
-|   7 | :a         | :g3    |
-|  17 | :a         | :g3    |
-|   9 | :a         | :g3    |
-|   6 | :a         | :g3    |
-|  15 | :a         | :g3    |
+|  16 | :a         | :g2    |
+|   0 | :a         | :g2    |
+|   5 | :a         | :g2    |
+|  16 | :a         | :g2    |
+|  11 | :a         | :g2    |
+|  13 | :a         | :g2    |
+|  20 | :b         | :g2    |
+|  23 | :b         | :g2    |
+|  21 | :b         | :g2    |
 
-, :test Group: 0 \[5 3\]:
+, :test Group: 0 \[2 3\]:
 
 | :id | :partition | :group |
 | --: | ---------- | ------ |
-|   0 | :a         | :g3    |
-|   3 | :a         | :g3    |
-|  13 | :a         | :g3    |
-|  16 | :a         | :g3    |
-|  18 | :a         | :g3    |
+|   1 | :a         | :g2    |
+|  12 | :a         | :g2    |
 
-} {:train Group: 1 \[8 3\]:
+} {:train Group: 1 \[9 3\]:
 
 | :id | :partition | :group |
 | --: | ---------- | ------ |
-|   0 | :a         | :g3    |
-|  15 | :a         | :g3    |
-|  15 | :a         | :g3    |
-|   3 | :a         | :g3    |
-|  13 | :a         | :g3    |
-|   0 | :a         | :g3    |
-|  17 | :a         | :g3    |
-|  18 | :a         | :g3    |
+|   0 | :a         | :g2    |
+|  16 | :a         | :g2    |
+|  13 | :a         | :g2    |
+|  11 | :a         | :g2    |
+|   5 | :a         | :g2    |
+|  16 | :a         | :g2    |
+|  21 | :b         | :g2    |
+|  23 | :b         | :g2    |
+|  21 | :b         | :g2    |
 
-, :test Group: 1 \[4 3\]:
+, :test Group: 1 \[3 3\]:
 
 | :id | :partition | :group |
 | --: | ---------- | ------ |
-|   6 | :a         | :g3    |
-|   7 | :a         | :g3    |
-|   9 | :a         | :g3    |
-|  16 | :a         | :g3    |
+|   1 | :a         | :g2    |
+|  12 | :a         | :g2    |
+|  20 | :b         | :g2    |
 
 })\]
 
@@ -10163,9 +10260,9 @@ Other filters
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
-|   1 |   1 | 0.5 | A   |
-|   1 |   5 | 1.0 | B   |
-|   1 |   1 | 0.5 | A   |
+|   2 |   8 | 1.0 | B   |
+|   1 |   3 | 1.5 | C   |
+|   2 |   6 | 1.5 | C   |
 
 ``` clojure
 (tc/random DS (/ (tc/row-count DS) 2)) ;; fraction of random rows
@@ -10175,11 +10272,11 @@ Other filters
 
 | :V1 | :V2 | :V3 | :V4 |
 | --: | --: | --: | --- |
-|   1 |   3 | 1.5 | C   |
+|   2 |   6 | 1.5 | C   |
+|   2 |   2 | 1.0 | B   |
 |   2 |   4 | 0.5 | A   |
-|   1 |   5 | 1.0 | B   |
 |   1 |   7 | 0.5 | A   |
-|   2 |   2 | 1.0 | B   |
+|   1 |   1 | 0.5 | A   |
 
 ``` clojure
 (tc/by-rank DS :V1 zero?) ;; take top n entries
@@ -12110,7 +12207,9 @@ Write data to a csv file
 (tc/write! DS "DF.csv")
 ```
 
-    nil
+``` 
+10
+```
 
 -----
 
@@ -12120,7 +12219,9 @@ Write data to a tab-delimited file
 (tc/write! DS "DF.txt" {:separator \tab})
 ```
 
-    nil
+``` 
+10
+```
 
 or
 
@@ -12128,7 +12229,9 @@ or
 (tc/write! DS "DF.tsv")
 ```
 
-    nil
+``` 
+10
+```
 
 -----
 
diff --git a/docs/index.pdf b/docs/index.pdf
index 99969ff52a5608858fd99e427ac101d7512148fd..f1ab7b4a0e7b846c5ef89df5f6c87f39f72c3c0f 100644
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diff --git a/playground.clj b/playground.clj
index f52bf41..3fd6160 100644
--- a/playground.clj
+++ b/playground.clj
@@ -5,7 +5,11 @@
             [tech.v3.dataset.join :as j]
             [tech.v3.datatype.functional :as dfn]
             [clojure.string :as str]
-            [tech.v3.datatype.argops :as aop]))
+            [tech.v3.datatype.argops :as aop]
+            [tech.v3.dataset.column :as col]
+            [tech.v3.io :as tio]
+            [tech.v3.dataset.io :as ds-io]
+            [tech.v3.dataset.zip :as zip]))
 
 (ds/concat
  (ds/new-dataset [(c/new-column :a [])])
@@ -632,3 +636,495 @@ agg
   :price-sum (ds-reduce/sum :price)
   :price-med (ds-reduce/prob-median :price)}
  (repeat 3 stocks'))
+
+
+(def DSm2 (tc/dataset {:a [nil nil nil 1.0 2  nil nil nil nil  nil 4   nil  11 nil nil]
+                     :b [2   2   2 nil nil nil nil nil nil 13   nil   3  4  5 5]}))
+
+DSm2
+;; => _unnamed [15 2]:
+;;    |   :a | :b |
+;;    |-----:|---:|
+;;    |      |  2 |
+;;    |      |  2 |
+;;    |      |  2 |
+;;    |  1.0 |    |
+;;    |  2.0 |    |
+;;    |      |    |
+;;    |      |    |
+;;    |      |    |
+;;    |      |    |
+;;    |      | 13 |
+;;    |  4.0 |    |
+;;    |      |  3 |
+;;    | 11.0 |  4 |
+;;    |      |  5 |
+;;    |      |  5 |
+
+;; indexes of missing values
+(col/missing (DSm2 :a)) ;; => {0,1,2,5,6,7,8,9,11,13,14}
+(col/missing (DSm2 :b)) ;; => {3,4,5,6,7,8,10}
+
+(class (col/missing (DSm2 :a))) ;; => org.roaringbitmap.RoaringBitmap
+
+;; index of the nearest non-missing value in column `:a` starting from 0
+(.nextAbsentValue (col/missing (DSm2 :a)) 0) ;; => 3
+;; there is no previous non-missing
+(.previousAbsentValue (col/missing (DSm2 :a)) 0) ;; => -1
+
+;; replace some missing values by hand
+(tc/replace-missing DSm2 :a :value {0 100 1 -100 14 -1000})
+;; => _unnamed [15 2]:
+;;    |      :a | :b |
+;;    |--------:|---:|
+;;    |   100.0 |  2 |
+;;    |  -100.0 |  2 |
+;;    |         |  2 |
+;;    |     1.0 |    |
+;;    |     2.0 |    |
+;;    |         |    |
+;;    |         |    |
+;;    |         |    |
+;;    |         |    |
+;;    |         | 13 |
+;;    |     4.0 |    |
+;;    |         |  3 |
+;;    |    11.0 |  4 |
+;;    |         |  5 |
+;;    | -1000.0 |  5 |
+
+;;
+
+(let [ds (ds/->dataset {:foo (range 0 5)
+                        :bar (repeatedly #(rand-int 100))
+                        :baz (repeatedly #(rand-int 100))})]
+  (ds/add-or-update-column ds :quz (apply col/column-map
+                                          (fn [foo bar baz]
+                                            (if (zero? (mod (+ foo bar baz) 7)) "mod 7" "not mod 7"))
+                                          nil (ds/columns ds))))
+
+
+
+(let [ds (ds/->dataset {:foo (range 0 5)
+                        :bar (repeatedly #(rand-int 100))})]
+  (ds/add-or-update-column ds :quz (apply col/column-map
+                                          (fn [foo bar]
+                                            (if (zero? (mod (+ foo bar) 7)) "mod 7" "not mod 7"))
+                                          nil (ds/columns ds))))
+;; => _unnamed [5 3]:
+;;    | :foo | :bar |      :quz |
+;;    |-----:|-----:|-----------|
+;;    |    0 |   63 |     mod 7 |
+;;    |    1 |   20 |     mod 7 |
+;;    |    2 |   15 | not mod 7 |
+;;    |    3 |   85 | not mod 7 |
+;;    |    4 |   46 | not mod 7 |
+
+
+;;
+
+
+(def ds (ds/->dataset [{"DestinationName" "CZ_1", "ProductName" "FG_1", "Quantity" 100, "Allocated-Qty" 0, "SourceName" "DC_1", :ratio 0.5} {"DestinationName" "CZ_1", "ProductName" "FG_1", "Quantity" 100, "Allocated-Qty" 0, "SourceName" "DC_2", :ratio 0.5}]))
+
+;; => _unnamed [2 6]:
+;;    | DestinationName | ProductName | Quantity | Allocated-Qty | SourceName | :ratio |
+;;    |-----------------|-------------|---------:|--------------:|------------|-------:|
+;;    |            CZ_1 |        FG_1 |      100 |             0 |       DC_1 |    0.5 |
+;;    |            CZ_1 |        FG_1 |      100 |             0 |       DC_2 |    0.5 |
+
+(ds/concat ds ds)
+
+;; => _unnamed [4 6]:
+;;    | DestinationName | ProductName | Quantity | Allocated-Qty | SourceName | :ratio |
+;;    |-----------------|-------------|---------:|--------------:|------------|-------:|
+;;    |            CZ_1 |        FG_1 |      100 |             0 |       DC_1 |    0.5 |
+;;    |            CZ_1 |        FG_1 |      100 |             0 |       DC_2 |    0.5 |
+;;    |            CZ_1 |        FG_1 |      100 |             0 |       DC_1 |    0.5 |
+;;    |            CZ_1 |        FG_1 |      100 |             0 |       DC_2 |    0.5 |
+
+(ds/concat-copying ds ds)
+
+;; => _unnamed [4 6]:
+;;    | DestinationName | ProductName | Quantity | Allocated-Qty | SourceName | :ratio |
+;;    |-----------------|-------------|---------:|--------------:|------------|-------:|
+;;    |            CZ_1 |        FG_1 |      100 |             0 |       DC_1 |    0.5 |
+;;    |            CZ_1 |        FG_1 |      100 |             0 |       DC_2 |    0.5 |
+;;    |            CZ_1 |        FG_1 |      100 |             0 |       DC_1 |    0.5 |
+;;    |            CZ_1 |        FG_1 |      100 |             0 |       DC_2 |    0.5 |
+
+
+
+;;
+
+(def joinrds (tc/dataset {:a (range 1 7)
+                        :b (range 7 13)
+                        :c (range 13 19)
+                        :ID (seq "bbbaac")
+                        :d ["hello" "hello" "hello" "water" "water" "world"]}))
+
+;; => _unnamed [6 5]:
+;;    | :a | :b | :c | :ID |    :d |
+;;    |---:|---:|---:|-----|-------|
+;;    |  1 |  7 | 13 |   b | hello |
+;;    |  2 |  8 | 14 |   b | hello |
+;;    |  3 |  9 | 15 |   b | hello |
+;;    |  4 | 10 | 16 |   a | water |
+;;    |  5 | 11 | 17 |   a | water |
+;;    |  6 | 12 | 18 |   c | world |
+
+(-> joinrds
+    (tc/group-by [:ID :d])
+    (tc/ungroup))
+
+;; => _unnamed [6 5]:
+;;    | :a | :b | :c | :ID |    :d |
+;;    |---:|---:|---:|-----|-------|
+;;    |  1 |  7 | 13 |   b | hello |
+;;    |  2 |  8 | 14 |   b | hello |
+;;    |  3 |  9 | 15 |   b | hello |
+;;    |  4 | 10 | 16 |   a | water |
+;;    |  5 | 11 | 17 |   a | water |
+;;    |  6 | 12 | 18 |   c | world |
+
+(-> joinrds
+    (tc/group-by [:ID :d])
+    (tc/ungroup {:add-group-id-as-column :blah}))
+
+;; => _unnamed [6 6]:
+;;    | :blah | :a | :b | :c | :ID |    :d |
+;;    |------:|---:|---:|---:|-----|-------|
+;;    |     0 |  1 |  7 | 13 |   b | hello |
+;;    |     0 |  2 |  8 | 14 |   b | hello |
+;;    |     0 |  3 |  9 | 15 |   b | hello |
+;;    |     1 |  4 | 10 | 16 |   a | water |
+;;    |     1 |  5 | 11 | 17 |   a | water |
+;;    |     2 |  6 | 12 | 18 |   c | world |
+
+(-> joinrds
+    (tc/group-by [:ID :d])
+    (tc/unmark-group))
+
+;; => _unnamed [3 3]:
+;;    |                :name | :group-id |                              :data |
+;;    |----------------------|----------:|------------------------------------|
+;;    | {:ID \b, :d "hello"} |         0 | Group: {:ID \b, :d "hello"} [3 5]: |
+;;    | {:ID \a, :d "water"} |         1 | Group: {:ID \a, :d "water"} [2 5]: |
+;;    | {:ID \c, :d "world"} |         2 | Group: {:ID \c, :d "world"} [1 5]: |
+
+(-> joinrds
+    (tc/group-by [:ID :d])
+    (tc/ungroup {:add-group-as-column :blah
+                 :separate? false}))
+
+;; => _unnamed [6 6]:
+;;    |                :blah | :a | :b | :c | :ID |    :d |
+;;    |----------------------|---:|---:|---:|-----|-------|
+;;    | {:ID \b, :d "hello"} |  1 |  7 | 13 |   b | hello |
+;;    | {:ID \b, :d "hello"} |  2 |  8 | 14 |   b | hello |
+;;    | {:ID \b, :d "hello"} |  3 |  9 | 15 |   b | hello |
+;;    | {:ID \a, :d "water"} |  4 | 10 | 16 |   a | water |
+;;    | {:ID \a, :d "water"} |  5 | 11 | 17 |   a | water |
+;;    | {:ID \c, :d "world"} |  6 | 12 | 18 |   c | world |
+
+
+(-> joinrds
+    (tc/group-by :ID)
+    (tc/ungroup {:add-group-as-column :blah}))
+
+;; => _unnamed [6 6]:
+;;    | :blah | :a | :b | :c | :ID |    :d |
+;;    |-------|---:|---:|---:|-----|-------|
+;;    |     b |  1 |  7 | 13 |   b | hello |
+;;    |     b |  2 |  8 | 14 |   b | hello |
+;;    |     b |  3 |  9 | 15 |   b | hello |
+;;    |     a |  4 | 10 | 16 |   a | water |
+;;    |     a |  5 | 11 | 17 |   a | water |
+;;    |     c |  6 | 12 | 18 |   c | world |
+
+
+(-> joinrds
+    (tc/group-by (juxt :ID :d))
+    (tc/unmark-group))
+
+;; => _unnamed [3 3]:
+;;    |        :name | :group-id |                      :data |
+;;    |--------------|----------:|----------------------------|
+;;    | [\b "hello"] |         0 | Group: [\b "hello"] [3 5]: |
+;;    | [\a "water"] |         1 | Group: [\a "water"] [2 5]: |
+;;    | [\c "world"] |         2 | Group: [\c "world"] [1 5]: |
+
+(-> joinrds
+    (tc/group-by (juxt :ID :d))
+    (tc/ungroup {:add-group-as-column :blah}))
+
+;; => _unnamed [6 7]:
+;;    | :blah-0 | :blah-1 | :a | :b | :c | :ID |    :d |
+;;    |---------|---------|---:|---:|---:|-----|-------|
+;;    |       b |   hello |  1 |  7 | 13 |   b | hello |
+;;    |       b |   hello |  2 |  8 | 14 |   b | hello |
+;;    |       b |   hello |  3 |  9 | 15 |   b | hello |
+;;    |       a |   water |  4 | 10 | 16 |   a | water |
+;;    |       a |   water |  5 | 11 | 17 |   a | water |
+;;    |       c |   world |  6 | 12 | 18 |   c | world |
+
+(-> joinrds
+    (tc/group-by (juxt :ID :d))
+    (tc/ungroup {:add-group-as-column :blah
+                 :separate? false}))
+
+;; => _unnamed [6 6]:
+;;    |        :blah | :a | :b | :c | :ID |    :d |
+;;    |--------------|---:|---:|---:|-----|-------|
+;;    | [\b "hello"] |  1 |  7 | 13 |   b | hello |
+;;    | [\b "hello"] |  2 |  8 | 14 |   b | hello |
+;;    | [\b "hello"] |  3 |  9 | 15 |   b | hello |
+;;    | [\a "water"] |  4 | 10 | 16 |   a | water |
+;;    | [\a "water"] |  5 | 11 | 17 |   a | water |
+;;    | [\c "world"] |  6 | 12 | 18 |   c | world |
+
+
+(-> joinrds
+    (tc/group-by [:ID :d])
+    (tc/aggregate-columns [:a :b :c] dfn/mean))
+
+;; => _unnamed [3 5]:
+;;    | :ID |    :d |  :a |   :b |   :c |
+;;    |-----|-------|----:|-----:|-----:|
+;;    |   b | hello | 2.0 |  8.0 | 14.0 |
+;;    |   a | water | 4.5 | 10.5 | 16.5 |
+;;    |   c | world | 6.0 | 12.0 | 18.0 |
+
+(-> joinrds
+    (tc/group-by [:ID :d])
+    (tc/aggregate-columns [:a :b :c] dfn/mean {:separate? false}))
+
+;; => _unnamed [3 4]:
+;;    |         :$group-name |  :a |   :b |   :c |
+;;    |----------------------|----:|-----:|-----:|
+;;    | {:ID \b, :d "hello"} | 2.0 |  8.0 | 14.0 |
+;;    | {:ID \a, :d "water"} | 4.5 | 10.5 | 16.5 |
+;;    | {:ID \c, :d "world"} | 6.0 | 12.0 | 18.0 |
+
+
+;; #108
+
+(let [qids ["AGYSUB" "LOC" "AGELVL" "EDLVL"]
+      per-val (-> (tc/dataset "per-val.csv.gz")
+                  (tc/set-dataset-name "per-val"))
+      per-qid (-> (tc/dataset "per-qid.csv.gz")
+                  (tc/set-dataset-name "per-qid"))]
+  (-> (tc/left-join per-val per-qid qids)
+      (tc/select-rows (fn [row]
+                        (or (not= (get row "per-qid.AGYSUB") (get row "AGYSUB"))
+                            (not= (get row "per-qid.LOC") (get row "LOC"))
+                            (not= (get row "per-qid.AGELVL") (get row "AGELVL"))
+                            (not= (get row "per-qid.EDLVL") (get row "EDLVL")))))))
+
+(ds/select-rows (ds/->dataset []) [0])
+;; => _unnamed [0 0]
+
+
+;;
+
+(get-in (read-string (slurp "deps.edn")) [:deps 'techascent/tech.ml.dataset :mvn/version])
+;; => "7.000-beta-50"
+
+(nth (read-string (slurp "project.clj")) 2)
+
+(def ds1 (tc/dataset {:a [1 2 1 2 3 4 nil nil 4]
+                    :b (range 101 110)
+                    :c (map str "abs tract")}))
+(def ds2 (tc/dataset {:a [nil 1 2 5 4 3 2 1 nil]
+                    :b (range 110 101 -1)
+                    :c (map str "datatable")
+                    :d (symbol "X")
+                    :e [3 4 5 6 7 nil 8 1 1]}))
+
+(tc/left-join ds1 ds2 :b {:hashing (fn [[v]] (mod v 5))})
+
+(defn last-char
+  [ds]
+  (->> (ds/value-reader ds)
+       (map (comp last str first))))
+
+(last-char ds1)
+;; => (\1 \2 \3 \4 \5 \6 \7 \8 \9)
+
+(last-char ds2)
+;; => (\0 \9 \8 \7 \6 \5 \4 \3 \2)
+
+(def new-ds1 (ds/add-or-update-column ds1 :z (last-char ds1)))
+(def new-ds2 (ds/add-or-update-column ds2 :z (last-char ds2)))
+
+(j/left-join :z new-ds1 new-ds2)
+
+
+(def ds1 (ds/->dataset {:a '(\1 \2 \3 \4 \5 \6 \7 \8 \9)}))
+(def ds2 (ds/->dataset {:a '(\0 \9 \8 \7 \6 \5 \4 \3 \2)}))
+
+(ds1 :a)
+;; => #tech.v3.dataset.column[9]
+;;    :a
+;;    [1, 2, 3, 4, 5, 6, 7, 8, 9]
+
+(ds2 :a)
+;; => #tech.v3.dataset.column[9]
+;;    :a
+;;    [0, 9, 8, 7, 6, 5, 4, 3, 2]
+
+(j/left-join :a ds1 ds2)
+
+(j/left-join :a ds1 ds1)
+;; => left-outer-join [9 2]:
+;;    | :a | :right.a |
+;;    |----|----------|
+;;    |  1 |        1 |
+;;    |  2 |        2 |
+;;    |  3 |        3 |
+;;    |  4 |        4 |
+;;    |  5 |        5 |
+;;    |  6 |        6 |
+;;    |  7 |        7 |
+;;    |  8 |        8 |
+;;    |  9 |        9 |
+
+
+(j/left-join :a ds2 ds2)
+;; => left-outer-join [9 2]:
+;;    | :a | :right.a |
+;;    |----|----------|
+;;    |  0 |        0 |
+;;    |  9 |        9 |
+;;    |  8 |        8 |
+;;    |  7 |        7 |
+;;    |  6 |        6 |
+;;    |  5 |        5 |
+;;    |  4 |        4 |
+;;    |  3 |        3 |
+;;    |  2 |        2 |
+
+
+(tc/dataset "data/data/billboard/billboard.csv.gz")
+
+(with-open [io (-> (tio/input-stream "data.zip")
+                   (java.util.zip.ZipInputStream.))]
+  (ds-io/str->file-info (.getName (.getNextEntry io))))
+;; => {:gzipped? false, :file-type :unknown}
+
+(zip/zipfile->dataset-seq "data/data.zip")
+
+;;
+
+(defn get-rand [n col] (repeatedly n #(rand-nth col)))
+
+(def actions (tc/dataset {:campaign (get-rand 1000 [1000 1001 1002 1000 1000])
+                        :click (get-rand 1000 [true false false false])
+                        :skip (get-rand 1000 [true false])
+                        :abandon (get-rand 1000 [true true true false])}))
+
+(-> actions
+    (tc/convert-types :type/boolean :int16) ;; convert true/false to 1/0
+    (tc/group-by [:campaign])
+    (tc/aggregate {:impressions tc/row-count
+                   :clicks #(dfn/sum (:click %))
+                   :skips #(dfn/sum (:skip %))
+                   :abandons #(dfn/sum (:abandon %))})
+    (tc/map-rows (fn [{:keys [clicks abandons impressions]}]
+                   {:ctr% (* 100 (/ clicks impressions))
+                    :atr% (* 100 (/ abandons impressions))})))
+
+;; => _unnamed [3 7]:
+;;    | :campaign | :impressions | :clicks | :skips | :abandons |       :ctr% |       :atr% |
+;;    |----------:|-------------:|--------:|-------:|----------:|------------:|------------:|
+;;    |      1001 |          182 |    52.0 |   82.0 |     127.0 | 28.57142857 | 69.78021978 |
+;;    |      1000 |          609 |   157.0 |  314.0 |     450.0 | 25.77996716 | 73.89162562 |
+;;    |      1002 |          209 |    47.0 |  113.0 |     160.0 | 22.48803828 | 76.55502392 |
+
+
+(-> actions
+    (tc/convert-types :type/boolean :int16) ;; convert true/false to 1/0
+    (tc/add-column :impressions 1) ;; add artificial column filled with '1'
+    (tc/group-by [:campaign])
+    (tc/aggregate-columns [:impressions :click :skip :abandon] dfn/sum) ;; just sum selected columns
+    (tc/map-rows (fn [{:keys [click abandon impressions]}] ;; calculate
+                   {:ctr% (* 100 (/ click impressions))
+                    :atr% (* 100 (/ abandon impressions))}))
+    (tc/convert-types [:impressions :click :skip :abandon] :int32)
+    (tc/rename-columns {:click :clicks :skip :skips :abandon :abandons}))
+
+;; => _unnamed [3 7]:
+;;    | :campaign | :impressions | :clicks | :skips | :abandons |       :ctr% |       :atr% |
+;;    |----------:|-------------:|--------:|-------:|----------:|------------:|------------:|
+;;    |      1001 |          182 |      52 |     82 |       127 | 28.57142857 | 69.78021978 |
+;;    |      1000 |          609 |     157 |    314 |       450 | 25.77996716 | 73.89162562 |
+;;    |      1002 |          209 |      47 |    113 |       160 | 22.48803828 | 76.55502392 |
+
+
+(def ds1 (tc/dataset [{:a 1 :b "test"} {:a 2 :b "hi"}]))
+(def ds2 (tc/dataset [{:a 2 :b "hi"}]))
+
+(tc/difference ds1 ds2)
+;; => difference [1 2]:
+;;    | :a |   :b |
+;;    |---:|------|
+;;    |  1 | test |
+
+
+(def ds (tc/dataset {:a ["a" "" " " "b"]}))
+
+ds
+;; => _unnamed [4 1]:
+;;    | :a |
+;;    |----|
+;;    |  a |
+;;    |    |
+;;    |    |
+;;    |  b |
+
+(tc/info ds)
+;; => _unnamed: descriptive-stats [1 7]:
+;;    | :col-name | :datatype | :n-valid | :n-missing | :mode | :first | :last |
+;;    |-----------|-----------|---------:|-----------:|-------|--------|-------|
+;;    |        :a |   :string |        3 |          1 |     a |      a |     b |
+
+(tc/replace-missing ds :a :value "it was a missing value")
+;; => _unnamed [4 1]:
+;;    |                     :a |
+;;    |------------------------|
+;;    |                      a |
+;;    | it was a missing value |
+;;    |                        |
+;;    |                      b |
+
+
+(def ds (tc/dataset {:a [1 2 3 4]}))
+(def c (ds :a))
+
+c
+;; => #tech.v3.dataset.column[4]
+;;    :a
+;;    [1, 2, 3, 4]
+
+(associative? c) ;; => true
+(assoc c 2 11) ;; => [1 2 11 4]
+
+(sequential? c) ;; => true
+(seqable? c) ;; => true
+(seq c) ;; => (1 2 3 4)
+
+(reversible? c) ;; => true
+(reverse c) ;; => (4 3 2 1)
+
+(indexed? c) ;; => true
+(c 2) ;; => 3
+
+;; however
+
+(vector? c) ;; => false
+(seq? c) ;; => false
+
+
+(-> {:a [1 nil 2]
+     :b [3 4 nil]}
+    (tc/dataset)
+    (tc/rows :as-maps {:nil-missing? false}))
diff --git a/project.clj b/project.clj
index 7147585..e420ef5 100644
--- a/project.clj
+++ b/project.clj
@@ -1,4 +1,4 @@
-(defproject scicloj/tablecloth "7.000-beta-27"
+(defproject scicloj/tablecloth "7.007"
   :description "Dataset manipulation library built on the top of tech.ml.dataset."
   :url "https://github.com/scicloj/tablecloth"
   :license {:name "The MIT Licence"
@@ -7,6 +7,6 @@
   :middleware [lein-tools-deps.plugin/resolve-dependencies-with-deps-edn]
   :lein-tools-deps/config {:config-files [:install :user :project]}
   :profiles {:dev {:cloverage    {:runner :midje}
-                   :dependencies [[midje "1.9.9"]]
+                   :dependencies [[midje "1.10.9"]]
                    :plugins      [[lein-midje "3.2.1"]
-                                  [lein-cloverage "1.1.2"]]}})
+                                  [lein-cloverage "1.2.4"]]}})
diff --git a/src/tablecloth/api.clj b/src/tablecloth/api.clj
index f5f770e..71b71ea 100644
--- a/src/tablecloth/api.clj
+++ b/src/tablecloth/api.clj
@@ -295,7 +295,7 @@ column-names function returns names according to columns-selector
 
 
 (defn dataset
-  "Create `dataset`.
+  "Create a `dataset`.
   
   Dataset can be created from:
 
@@ -306,7 +306,111 @@ column-names function returns names according to columns-selector
   * array of arrays
   * single value
 
-  Single value is set only when it's not possible to find a path for given data. If tech.ml.dataset throws an exception, it's won;t be printed. To print a stack trace, set `stack-trace?` option to `true`."
+  Single value is set only when it's not possible to find a path for given data. If tech.ml.dataset throws an exception, it's won;t be printed. To print a stack trace, set `stack-trace?` option to `true`.
+
+  ds/->dataset documentation:
+
+  Create a dataset from either csv/tsv or a sequence of maps.
+
+   * A `String` be interpreted as a file (or gzipped file if it
+     ends with .gz) of tsv or csv data.  The system will attempt to autodetect if this
+     is csv or tsv and then engineering around detecting datatypes all of which can
+     be overridden.
+
+  * InputStreams have no file type and thus a `file-type` must be provided in the
+    options.
+
+  * A sequence of maps may be passed in in which case the first N maps are scanned in
+    order to derive the column datatypes before the actual columns are created.
+
+  Parquet, xlsx, and xls formats require that you require the appropriate libraries
+  which are `tech.v3.libs.parquet` for parquet, `tech.v3.libs.fastexcel` for xlsx,
+  and `tech.v3.libs.poi` for xls.
+
+
+  Arrow support is provided via the tech.v3.libs.Arrow namespace not via a file-type
+  overload as the Arrow project current has 3 different file types and it is not clear
+  what their final suffix will be or which of the three file types it will indicate.
+  Please see documentation in the `tech.v3.libs.arrow` namespace for further information
+  on Arrow file types.
+
+  Options:
+
+  - `:dataset-name` - set the name of the dataset.
+  - `:file-type` - Override filetype discovery mechanism for strings or force a particular
+      parser for an input stream.  Note that parquet must have paths on disk
+      and cannot currently load from input stream.  Acceptible file types are:
+      #{:csv :tsv :xlsx :xls :parquet}.
+  - `:gzipped?` - for file formats that support it, override autodetection and force
+     creation of a gzipped input stream as opposed to a normal input stream.
+  - `:column-whitelist` - either sequence of string column names or sequence of column
+     indices of columns to whitelist.
+  - `:column-blacklist` - either sequence of string column names or sequence of column
+     indices of columns to blacklist.
+  - `:num-rows` - Number of rows to read
+  - `:header-row?` - Defaults to true, indicates the first row is a header.
+  - `:key-fn` - function to be applied to column names.  Typical use is:
+     `:key-fn keyword`.
+  - `:separator` - Add a character separator to the list of separators to auto-detect.
+  - `:csv-parser` - Implementation of univocity's AbstractParser to use.  If not
+     provided a default permissive parser is used.  This way you parse anything that
+     univocity supports (so flat files and such).
+  - `:bad-row-policy` - One of three options: :skip, :error, :carry-on.  Defaults to
+     :carry-on.  Some csv data has ragged rows and in this case we have several
+     options. If the option is :carry-on then we either create a new column or add
+     missing values for columns that had no data for that row.
+  - `:skip-bad-rows?` - Legacy option.  Use :bad-row-policy.
+  - `:disable-comment-skipping?` - As default, the `#` character is recognised as a
+     line comment when found in the beginning of a line of text in a CSV file,
+     and the row will be ignored. Set `true` to disable this behavior.
+  - `:max-chars-per-column` - Defaults to 4096.  Columns with more characters that this
+     will result in an exception.
+  - `:max-num-columns` - Defaults to 8192.  CSV,TSV files with more columns than this
+     will fail to parse.  For more information on this option, please visit:
+     https://github.com/uniVocity/univocity-parsers/issues/301
+  - `:text-temp-dir` - The temporary directory to use for file-backed text.  Setting
+    this value to boolean 'false' turns off file backed text which is the default.  If a
+    tech.v3.resource stack context is opened the file will be deleted when the context
+    closes else it will be deleted when the gc cleans up the dataset.  A shutdown hook is
+    added as a last resort to ensure the file is cleaned up.
+  - `:n-initial-skip-rows` - Skip N rows initially.  This currently may include the
+     header row.  Works across both csv and spreadsheet datasets.
+  - `:parser-type` - Default parser to use if no parser-fn is specified for that column.
+     For csv files, the default parser type is `:string` which indicates a promotional
+     string parser.  For sequences of maps, the default parser type is :object.  It can
+     be useful in some contexts to use the `:string` parser with sequences of maps or
+     maps of columns.
+  - `:parser-fn` -
+      - `keyword?` - all columns parsed to this datatype. For example:
+        `{:parser-fn :string}`
+      - `map?` - `{column-name parse-method}` parse each column with specified
+        `parse-method`.
+        The `parse-method` can be:
+          - `keyword?` - parse the specified column to this datatype. For example:
+            `{:parser-fn {:answer :boolean :id :int32}}`
+          - tuple - pair of `[datatype parse-data]` in which case container of type
+            `[datatype]` will be created. `parse-data` can be one of:
+              - `:relaxed?` - data will be parsed such that parse failures of the standard
+                 parse functions do not stop the parsing process.  :unparsed-values and
+                 :unparsed-indexes are available in the metadata of the column that tell
+                 you the values that failed to parse and their respective indexes.
+              - `fn?` - function from str-> one of `:tech.v3.dataset/missing`,
+                 `:tech.v3.dataset/parse-failure`, or the parsed value.
+                 Exceptions here always kill the parse process.  :missing will get marked
+                 in the missing indexes, and :parse-failure will result in the index being
+                 added to missing, the unparsed the column's :unparsed-values and
+                 :unparsed-indexes will be updated.
+              - `string?` - for datetime types, this will turned into a DateTimeFormatter via
+                 DateTimeFormatter/ofPattern.  For `:text` you can specify the backing file
+                 to use.
+              - `DateTimeFormatter` - use with the appropriate temporal parse static function
+                 to parse the value.
+
+   - `map?` - the header-name-or-idx is used to lookup value.  If not nil, then
+           value can be any of the above options.  Else the default column parser
+           is used.
+
+  Returns a new dataset"
   ([]
   (tablecloth.api.dataset/dataset ))
   ([data]
@@ -508,8 +612,7 @@ column-names function returns names according to columns-selector
 
 (defn info
   "Returns a statistcial information about the columns of a dataset.
-  `result-type ` can be :descriptive or :columns
-  "
+  `result-type ` can be :descriptive or :columns"
   ([ds]
   (tablecloth.api.dataset/info ds))
   ([ds result-type]
@@ -532,9 +635,9 @@ column-names function returns names according to columns-selector
 
 (defn join-columns
   "Join clumns of dataset. Accepts:
-dataset
-column selector (as in select-columns)
-options
+  dataset
+  column selector (as in select-columns)
+  options
   `:separator` (default -)
   `:drop-columns?` - whether to drop source columns or not (default true)
   `:result-type`
@@ -649,7 +752,7 @@ options
 (defn print-dataset
   "Prints dataset into console. For options see
   tech.v3.dataset.print/dataset-data->str
-"
+  "
   ([ds]
   (tablecloth.api.dataset/print-dataset ds))
   ([ds options]
@@ -747,14 +850,19 @@ options
 
 (defn rows
   "Returns rows of dataset. Result type can be any of:
-  * `:as-maps`
-  * `:as-double-arrays`
-  * `:as-seqs`
-  "
+  * `:as-maps` - maps
+  * `:as-double-arrays` - double arrays
+  * `:as-seqs` - reader (sequence, default)
+  * `:as-vecs` - vectors
+
+  If you want to elide nils in maps set `:nil-missing?` option to false (default: `true`).
+  Another option - `:copying?` - when true row values are copied on read (default: `false`)."
   ([ds]
   (tablecloth.api.dataset/rows ds))
   ([ds result-type]
-  (tablecloth.api.dataset/rows ds result-type)))
+  (tablecloth.api.dataset/rows ds result-type))
+  ([ds result-type options]
+  (tablecloth.api.dataset/rows ds result-type options)))
 
 
 (defn select
diff --git a/src/tablecloth/api/dataset.clj b/src/tablecloth/api/dataset.clj
index 7d1d123..3eabfa0 100644
--- a/src/tablecloth/api/dataset.clj
+++ b/src/tablecloth/api/dataset.clj
@@ -47,7 +47,7 @@
 (defn- array-of-arrays? [in] (and in (= "[[" (subs (.getName (class in)) 0 2))))
 
 (defn dataset
-  "Create `dataset`.
+  "Create a `dataset`.
   
   Dataset can be created from:
 
@@ -58,7 +58,11 @@
   * array of arrays
   * single value
 
-  Single value is set only when it's not possible to find a path for given data. If tech.ml.dataset throws an exception, it's won;t be printed. To print a stack trace, set `stack-trace?` option to `true`."
+  Single value is set only when it's not possible to find a path for given data. If tech.ml.dataset throws an exception, it's won;t be printed. To print a stack trace, set `stack-trace?` option to `true`.
+
+  ds/->dataset documentation:
+
+  "
   ([] (ds/new-dataset nil))
   ([data]
    (dataset data nil))
@@ -89,9 +93,12 @@
                   (do
                     (when stack-trace? (.printStackTrace e))
                     (let [row {single-value-column-name data}]
-                      (ds/->dataset [(if error-column?
-                                       (assoc row :$error (.getMessage e))
-                                       row)] options))))))))
+                      (ds/->dataset (if error-column?
+                                      (assoc row :$error (.getMessage e))
+                                      row) options))))))))
+
+;; https://github.com/scicloj/tablecloth/issues/112
+(alter-meta! #'dataset update :doc str (:doc (meta #'ds/->dataset)))
 
 (defn shape
   "Returns shape of the dataset [rows, cols]"
@@ -107,8 +114,7 @@
 
 (defn info
   "Returns a statistcial information about the columns of a dataset.
-  `result-type ` can be :descriptive or :columns
-  "
+  `result-type ` can be :descriptive or :columns"
   ([ds] (info ds :descriptive))
   ([ds result-type]
    (condp = result-type
@@ -144,23 +150,29 @@
 
 (defn rows
   "Returns rows of dataset. Result type can be any of:
-  * `:as-maps`
-  * `:as-double-arrays`
-  * `:as-seqs`
-  "
+  * `:as-maps` - maps
+  * `:as-double-arrays` - double arrays
+  * `:as-seqs` - reader (sequence, default)
+  * `:as-vecs` - vectors
+
+  If you want to elide nils in maps set `:nil-missing?` option to false (default: `true`).
+  Another option - `:copying?` - when true row values are copied on read (default: `false`)."
   ([ds] (rows ds :as-seqs))
-  ([ds result-type]
-   (case result-type
-     :as-maps (ds/mapseq-reader ds)
-     :as-double-arrays (into-array (map double-array (ds/value-reader ds)))
-     :as-seqs (ds/value-reader ds)
-     :as-vecs (ds/rowvecs ds)
-     (ds/value-reader ds))))
+  ([ds result-type] (rows ds result-type nil))
+  ([ds result-type {:keys [nil-missing?]
+                    :or {nil-missing? true}
+                    :as options}]
+   (let [options (assoc options :nil-missing? nil-missing?)]
+     (case result-type
+       :as-maps (ds/mapseq-reader ds options)
+       :as-double-arrays (into-array (map double-array (ds/value-reader ds)))
+       :as-seqs (ds/value-reader ds options)
+       :as-vecs (ds/rowvecs ds options)
+       (ds/value-reader ds options)))))
 
 (defn print-dataset
   "Prints dataset into console. For options see
-  tech.v3.dataset.print/dataset-data->str
-"
+  tech.v3.dataset.print/dataset-data->str"
   ([ds] (println (p/dataset->str ds)))
   ([ds options] (println (p/dataset->str ds options))))
 
diff --git a/src/tablecloth/api/join_concat_ds.clj b/src/tablecloth/api/join_concat_ds.clj
index 2126bb7..e263281 100644
--- a/src/tablecloth/api/join_concat_ds.clj
+++ b/src/tablecloth/api/join_concat_ds.clj
@@ -16,12 +16,15 @@
 ;; joins
 
 (defn- multi-join
-  [ds-left ds-right join-fn cols-left cols-right options]
+  [ds-left ds-right join-fn cols-left cols-right {:keys [hashing]
+                                                  :or {hashing identity} :as options}]
   (let [join-column-name (gensym "^___join_column_hash")
-        dsl (join-columns ds-left join-column-name cols-left {:result-type hash
-                                                              :drop-columns? false})
-        dsr (join-columns ds-right join-column-name cols-right {:result-type hash
-                                                                :drop-columns? false})
+        dsl (join-columns ds-left join-column-name cols-left (assoc options
+                                                                    :result-type hashing
+                                                                    :drop-columns? false))
+        dsr (join-columns ds-right join-column-name cols-right (assoc options
+                                                                      :result-type hashing
+                                                                      :drop-columns? false))
         joined-ds (join-fn join-column-name dsl dsr options)]
     (-> joined-ds
         (ds/drop-columns [join-column-name (-> joined-ds
@@ -49,8 +52,9 @@
              (let [cols# (resolve-join-column-names ~'ds-left ~'ds-right ~'columns-selector)
                    cols-left# (:left cols#)
                    cols-right# (:right cols#)
-                   opts# (or ~'options {})]
-               (if (= 1 (count cols-left#))
+                   opts# (or ~'options {})
+                   hashing# (:hashing opts#)]
+               (if (and (= 1 (count cols-left#)) (not hashing#))
                  (~impl [(first cols-left#) (first cols-right#)] ~'ds-left ~'ds-right opts#)
                  (multi-join ~'ds-left ~'ds-right ~impl cols-left# cols-right# opts#))))))))
 
diff --git a/src/tablecloth/api/join_separate.clj b/src/tablecloth/api/join_separate.clj
index b77f578..9fba74d 100644
--- a/src/tablecloth/api/join_separate.clj
+++ b/src/tablecloth/api/join_separate.clj
@@ -14,14 +14,14 @@
   [ds target-column join-function col-names drop-columns?]
   (let [cols (select-columns ds col-names)
         result (add-column ds target-column (when (seq cols) (->> (ds/value-reader cols)
-                                                                             (map join-function))))]
+                                                                  (map join-function))))]
     (if drop-columns? (drop-columns result col-names) result)))
 
 (defn join-columns
   "Join clumns of dataset. Accepts:
-dataset
-column selector (as in select-columns)
-options
+  dataset
+  column selector (as in select-columns)
+  options
   `:separator` (default -)
   `:drop-columns?` - whether to drop source columns or not (default true)
   `:result-type`
@@ -36,7 +36,7 @@ options
                                        :or {separator "-" drop-columns? true result-type :string}
                                        :as _conf}]
    
-   (let [missing-subst-fn #(map (fn [v] (or v missing-subst)) %)
+   (let [missing-subst-fn #(mapv (fn [v] (or v missing-subst)) %)
          col-names (column-names ds columns-selector)
          join-function (comp (cond
                                (= :map result-type) #(zipmap col-names %)
diff --git a/src/tablecloth/api/lift_operators.clj b/src/tablecloth/api/lift_operators.clj
index 5257387..a22c170 100644
--- a/src/tablecloth/api/lift_operators.clj
+++ b/src/tablecloth/api/lift_operators.clj
@@ -1,29 +1,201 @@
 (ns tablecloth.api.lift-operators
-  (:require [tablecloth.api :refer [select-columns]]))
+  (:require [tablecloth.api :refer [select-columns add-or-replace-column]]
+            [tablecloth.utils.codegen :refer [do-lift]]))
 
-(require '[tablecloth.column.api.operators])
+(defn get-meta [fn-sym]
+  (-> fn-sym resolve meta))
 
-(def ops-mappings (ns-publics 'tablecloth.column.api.operators))
+(defn get-arglists [fn-sym]
+  (-> fn-sym get-meta :arglists))
 
-(defn lift-op [fn-sym]
-  (let [defn (symbol "defn")
-        let  (symbol "let")]
-    `(~defn ~(symbol (name fn-sym))
-      ~'[ds & columns-selector]
-      (~let [just-selected-ds# (select-columns ~'ds ~'columns-selector)]
-       #_cols#
-       (apply ~fn-sym (tablecloth.api.dataset/columns just-selected-ds#))))))
+(defn get-docstring [fn-sym]
+  (-> fn-sym get-meta :docstring))
+
+(defn max-cols-allowed [arglists]
+  (let [col-symbol-set #{'x 'y 'z}
+        longest-arglist (reduce
+                         #(if (> (count %1) (count %2)) %1 %2) arglists)]
+     (if (= longest-arglist '[x y & args])
+      Double/POSITIVE_INFINITY
+      (count
+       (clojure.set/intersection
+        col-symbol-set
+        (set longest-arglist))))))
 
-(lift-op 'tablecloth.column.api.operators/+)
 
-(eval (lift-op 'tablecloth.column.api.operators/+))
+(defn convert-arglists [arglists target-column?]
+  (let [convert-arglist
+        (fn [arglist]
+          (apply conj
+                 (if target-column?
+                   '[ds target-col columns-selector]
+                   '[ds columns-selector])
+                 (apply vector (clojure.set/difference (set arglist) #{'x 'y 'z '& 'args}))))]
+    (->> arglists (map convert-arglist) set (apply list))))
 
-(def ds (tablecloth.api/dataset {:a [1 2 3 4 5]
-                                 :b [6 7 8 9 10]
-                                 :c [11 12 13 14 16]}))
+(defn build-docstring [fn-sym]
+  (let [original-docstring (get-docstring fn-sym)
+        max-allowed (max-cols-allowed (get-arglists fn-sym))]
 
+    (format 
+     "Applies the operation %s to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. %s
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+     fn-sym
+     (when (< max-allowed Double/POSITIVE_INFINITY)
+       (format
+        "This operation takes a maximum of %s columns, so
+         `columns-selector` can yield no more than that many columns."
+        max-allowed)))))
 
-(+ ds :a :c)
+(defn lift-op
+  "Takes a function symbol `fn-sym` and generates a function that
+    applies that function to one or more columns of a dataset, placing
+    the result in the target column.
 
+    Resulting signature:
+    (lift-op [fn-sym]) => (fn [ds columns-selector target-col] ...)"
+  [fn-sym {:keys [return-ds?]
+           :or {return-ds? false}}]
+  (let [defn (symbol "defn")
+        let (symbol "let")
+        arglists (get-arglists fn-sym)
+        max-cols (max-cols-allowed arglists)
+        lifted-arglists (convert-arglists arglists return-ds?)
+        new-fn-sym (symbol (name fn-sym))
+        new-docstring (build-docstring fn-sym)]
+    `(~defn ~new-fn-sym
+      ~new-docstring
+      ~@(for [args lifted-arglists]
+          `(~args
+            (~let [selected-cols# (apply vector (tablecloth.api.dataset/columns
+                                                 (select-columns ~'ds ~'columns-selector)))
+            
+       args-to-pass# (concat selected-cols# [~@(drop 3 args)])]
+             (if (>= ~max-cols (count selected-cols#))
+               (->> args-to-pass#
+                 (apply ~fn-sym)
+                 ~(if return-ds? `(add-or-replace-column ~'ds ~'target-col) `(identity)))
+               (throw (Exception. (str "Exceeded maximum number of columns allowed for operation."))))))))))
 
+(def serialized-lift-fn-lookup
+  {'[distance
+     distance-squared
+     dot-product
+     kurtosis
+     magnitude
+     magnitude-squared
+     mean
+     mean-fast
+     median
+     quartile-1
+     quartile-3
+     #_quartiles ;; this returns a vector of quartiles not sure it fits here
+     reduce-*
+     reduce-+
+     reduce-max
+     reduce-min
+     skew
+     sum
+     sum-fast
+     variance]
+    {:lift-fn lift-op :optional-args {:return-ds? false}}
+   '[*
+     +
+     -
+     /
+     <
+     <=
+     >
+     >=
+     abs
+     acos
+     and
+     asin
+     atan
+     atan2
+     bit-and
+     bit-and-not
+     bit-clear
+     bit-flip
+     bit-not
+     bit-or
+     bit-set
+     bit-shift-left
+     bit-shift-right
+     bit-xor
+     cbrt
+     ceil
+     cos
+     cosh
+     cummax
+     cummin
+     cumprod
+     cumsum
+     eq
+     ;; equals ;; leaving this one out. not clear its signature is right.
+     even?
+     exp
+     expm1
+     ;; fill-range ;; this one has an odd return value, not a column
+     finite?
+     floor
+     get-significand
+     hypot
+     identity
+     ieee-remainder
+     infinite?
+     log
+     log10
+     log1p
+     logistic
+     mathematical-integer?
+     max
+     min
+     nan?
+     neg?
+     next-down
+     next-up
+     normalize
+     not
+     not-eq
+     odd?
+     or
+     percentiles
+     pos?
+     pow
+     quot
+     rem
+     rint
+     round
+     shift
+     signum
+     sin
+     sinh
+     sq
+     sqrt
+     tan
+     tanh
+     to-degrees
+     to-radians
+     ulp
+     unsigned-bit-shift-right
+     zero?] {:lift-fn lift-op :optional-args {:return-ds? true}}})
 
+(comment
+  (do-lift {:target-ns 'tablecloth.api.operators
+            :source-ns 'tablecloth.column.api.operators
+            :lift-fn-lookup serialized-lift-fn-lookup
+            :deps ['tablecloth.api.lift_operators]
+            :exclusions
+            '[* + - / < <= > >= abs and bit-and bit-and-not bit-clear bit-flip
+             bit-not bit-or bit-set bit-shift-left bit-shift-right bit-test bit-xor
+             even? identity infinite? max min neg? not odd? odd? or pos? quot rem
+             unsigned-bit-shift-right zero?]})
+  ,)
diff --git a/src/tablecloth/api/operators.clj b/src/tablecloth/api/operators.clj
new file mode 100644
index 0000000..d58bd85
--- /dev/null
+++ b/src/tablecloth/api/operators.clj
@@ -0,0 +1,3661 @@
+(ns
+ tablecloth.api.operators
+ (:require
+  [tablecloth.column.api.operators]
+  [tablecloth.api.lift_operators])
+ (:refer-clojure
+  :exclude
+  [*
+   +
+   -
+   /
+   <
+   <=
+   >
+   >=
+   abs
+   and
+   bit-and
+   bit-and-not
+   bit-clear
+   bit-flip
+   bit-not
+   bit-or
+   bit-set
+   bit-shift-left
+   bit-shift-right
+   bit-test
+   bit-xor
+   even?
+   identity
+   infinite?
+   max
+   min
+   neg?
+   not
+   odd?
+   odd?
+   or
+   pos?
+   quot
+   rem
+   unsigned-bit-shift-right
+   zero?]))
+
+(defn
+ kurtosis
+ "Applies the operation tablecloth.column.api.operators/kurtosis to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/kurtosis)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/kurtosis)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ bit-set
+ "Applies the operation tablecloth.column.api.operators/bit-set to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/bit-set)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ finite?
+ "Applies the operation tablecloth.column.api.operators/finite? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/finite?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/finite?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ distance
+ "Applies the operation tablecloth.column.api.operators/distance to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     2
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/distance)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ reduce-min
+ "Applies the operation tablecloth.column.api.operators/reduce-min to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/reduce-min)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ to-radians
+ "Applies the operation tablecloth.column.api.operators/to-radians to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/to-radians)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/to-radians)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ bit-shift-right
+ "Applies the operation tablecloth.column.api.operators/bit-shift-right to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply
+      tablecloth.column.api.operators/bit-shift-right)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ ieee-remainder
+ "Applies the operation tablecloth.column.api.operators/ieee-remainder to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply
+      tablecloth.column.api.operators/ieee-remainder)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ log
+ "Applies the operation tablecloth.column.api.operators/log to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/log)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/log)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ bit-shift-left
+ "Applies the operation tablecloth.column.api.operators/bit-shift-left to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply
+      tablecloth.column.api.operators/bit-shift-left)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ acos
+ "Applies the operation tablecloth.column.api.operators/acos to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/acos)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/acos)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ to-degrees
+ "Applies the operation tablecloth.column.api.operators/to-degrees to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/to-degrees)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/to-degrees)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ <
+ "Applies the operation tablecloth.column.api.operators/< to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     3
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/<)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ floor
+ "Applies the operation tablecloth.column.api.operators/floor to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/floor)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/floor)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ atan2
+ "Applies the operation tablecloth.column.api.operators/atan2 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/atan2)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ normalize
+ "Applies the operation tablecloth.column.api.operators/normalize to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/normalize)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ hypot
+ "Applies the operation tablecloth.column.api.operators/hypot to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/hypot)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ tanh
+ "Applies the operation tablecloth.column.api.operators/tanh to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/tanh)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/tanh)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ sq
+ "Applies the operation tablecloth.column.api.operators/sq to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/sq)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/sq)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ sum
+ "Applies the operation tablecloth.column.api.operators/sum to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/sum)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/sum)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ pos?
+ "Applies the operation tablecloth.column.api.operators/pos? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/pos?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/pos?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ shift
+ "Applies the operation tablecloth.column.api.operators/shift to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector n]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [n])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/shift)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ ceil
+ "Applies the operation tablecloth.column.api.operators/ceil to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/ceil)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/ceil)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ bit-xor
+ "Applies the operation tablecloth.column.api.operators/bit-xor to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/bit-xor)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ unsigned-bit-shift-right
+ "Applies the operation tablecloth.column.api.operators/unsigned-bit-shift-right to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply
+      tablecloth.column.api.operators/unsigned-bit-shift-right)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ neg?
+ "Applies the operation tablecloth.column.api.operators/neg? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/neg?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/neg?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ <=
+ "Applies the operation tablecloth.column.api.operators/<= to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     3
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/<=)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ *
+ "Applies the operation tablecloth.column.api.operators/* to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/*)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ min
+ "Applies the operation tablecloth.column.api.operators/min to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/min)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ atan
+ "Applies the operation tablecloth.column.api.operators/atan to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/atan)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/atan)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ mathematical-integer?
+ "Applies the operation tablecloth.column.api.operators/mathematical-integer? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply
+      tablecloth.column.api.operators/mathematical-integer?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply
+      tablecloth.column.api.operators/mathematical-integer?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ cumprod
+ "Applies the operation tablecloth.column.api.operators/cumprod to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cumprod)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cumprod)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ expm1
+ "Applies the operation tablecloth.column.api.operators/expm1 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/expm1)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/expm1)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ identity
+ "Applies the operation tablecloth.column.api.operators/identity to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/identity)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/identity)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ reduce-max
+ "Applies the operation tablecloth.column.api.operators/reduce-max to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/reduce-max)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ cumsum
+ "Applies the operation tablecloth.column.api.operators/cumsum to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cumsum)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cumsum)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ nan?
+ "Applies the operation tablecloth.column.api.operators/nan? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/nan?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/nan?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ bit-and-not
+ "Applies the operation tablecloth.column.api.operators/bit-and-not to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/bit-and-not)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ logistic
+ "Applies the operation tablecloth.column.api.operators/logistic to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/logistic)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/logistic)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ cos
+ "Applies the operation tablecloth.column.api.operators/cos to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cos)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cos)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ log10
+ "Applies the operation tablecloth.column.api.operators/log10 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/log10)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/log10)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ quot
+ "Applies the operation tablecloth.column.api.operators/quot to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/quot)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ dot-product
+ "Applies the operation tablecloth.column.api.operators/dot-product to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     2
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/dot-product)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ tan
+ "Applies the operation tablecloth.column.api.operators/tan to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/tan)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/tan)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ cbrt
+ "Applies the operation tablecloth.column.api.operators/cbrt to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cbrt)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cbrt)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ eq
+ "Applies the operation tablecloth.column.api.operators/eq to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     2
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/eq)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ mean
+ "Applies the operation tablecloth.column.api.operators/mean to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/mean)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/mean)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ >
+ "Applies the operation tablecloth.column.api.operators/> to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     3
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/>)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ not-eq
+ "Applies the operation tablecloth.column.api.operators/not-eq to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     2
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/not-eq)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ even?
+ "Applies the operation tablecloth.column.api.operators/even? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/even?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/even?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ sqrt
+ "Applies the operation tablecloth.column.api.operators/sqrt to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/sqrt)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/sqrt)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ reduce-*
+ "Applies the operation tablecloth.column.api.operators/reduce-* to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/reduce-*)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ next-down
+ "Applies the operation tablecloth.column.api.operators/next-down to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/next-down)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/next-down)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ -
+ "Applies the operation tablecloth.column.api.operators/- to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/-)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ or
+ "Applies the operation tablecloth.column.api.operators/or to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     2
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/or)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ distance-squared
+ "Applies the operation tablecloth.column.api.operators/distance-squared to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     2
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply
+      tablecloth.column.api.operators/distance-squared)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ pow
+ "Applies the operation tablecloth.column.api.operators/pow to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/pow)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ next-up
+ "Applies the operation tablecloth.column.api.operators/next-up to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/next-up)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/next-up)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ skew
+ "Applies the operation tablecloth.column.api.operators/skew to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/skew)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/skew)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ exp
+ "Applies the operation tablecloth.column.api.operators/exp to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/exp)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/exp)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ mean-fast
+ "Applies the operation tablecloth.column.api.operators/mean-fast to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/mean-fast)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ zero?
+ "Applies the operation tablecloth.column.api.operators/zero? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/zero?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/zero?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ rem
+ "Applies the operation tablecloth.column.api.operators/rem to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/rem)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ cosh
+ "Applies the operation tablecloth.column.api.operators/cosh to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cosh)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cosh)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ variance
+ "Applies the operation tablecloth.column.api.operators/variance to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/variance)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/variance)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ reduce-+
+ "Applies the operation tablecloth.column.api.operators/reduce-+ to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/reduce-+)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ get-significand
+ "Applies the operation tablecloth.column.api.operators/get-significand to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply
+      tablecloth.column.api.operators/get-significand)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply
+      tablecloth.column.api.operators/get-significand)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ bit-and
+ "Applies the operation tablecloth.column.api.operators/bit-and to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/bit-and)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ not
+ "Applies the operation tablecloth.column.api.operators/not to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/not)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/not)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ cummin
+ "Applies the operation tablecloth.column.api.operators/cummin to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cummin)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cummin)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ magnitude
+ "Applies the operation tablecloth.column.api.operators/magnitude to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/magnitude)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ cummax
+ "Applies the operation tablecloth.column.api.operators/cummax to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cummax)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/cummax)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ /
+ "Applies the operation tablecloth.column.api.operators// to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators//)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ bit-or
+ "Applies the operation tablecloth.column.api.operators/bit-or to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/bit-or)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ >=
+ "Applies the operation tablecloth.column.api.operators/>= to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     3
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/>=)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ bit-flip
+ "Applies the operation tablecloth.column.api.operators/bit-flip to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/bit-flip)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ log1p
+ "Applies the operation tablecloth.column.api.operators/log1p to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/log1p)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/log1p)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ asin
+ "Applies the operation tablecloth.column.api.operators/asin to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/asin)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/asin)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ quartile-3
+ "Applies the operation tablecloth.column.api.operators/quartile-3 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/quartile-3)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/quartile-3)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ infinite?
+ "Applies the operation tablecloth.column.api.operators/infinite? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/infinite?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/infinite?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ round
+ "Applies the operation tablecloth.column.api.operators/round to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/round)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/round)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ quartile-1
+ "Applies the operation tablecloth.column.api.operators/quartile-1 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/quartile-1)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/quartile-1)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ odd?
+ "Applies the operation tablecloth.column.api.operators/odd? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/odd?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/odd?)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ bit-clear
+ "Applies the operation tablecloth.column.api.operators/bit-clear to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/bit-clear)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ +
+ "Applies the operation tablecloth.column.api.operators/+ to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/+)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ abs
+ "Applies the operation tablecloth.column.api.operators/abs to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/abs)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/abs)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ median
+ "Applies the operation tablecloth.column.api.operators/median to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/median)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/median)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ sinh
+ "Applies the operation tablecloth.column.api.operators/sinh to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/sinh)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/sinh)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ rint
+ "Applies the operation tablecloth.column.api.operators/rint to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/rint)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/rint)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ bit-not
+ "Applies the operation tablecloth.column.api.operators/bit-not to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/bit-not)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/bit-not)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ max
+ "Applies the operation tablecloth.column.api.operators/max to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     ##Inf
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/max)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ ulp
+ "Applies the operation tablecloth.column.api.operators/ulp to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/ulp)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/ulp)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ percentiles
+ "Applies the operation tablecloth.column.api.operators/percentiles to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector percentages options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat
+     selected-cols__42927__auto__
+     [percentages options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/percentiles)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector percentages]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [percentages])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/percentiles)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ sin
+ "Applies the operation tablecloth.column.api.operators/sin to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/sin)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/sin)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ sum-fast
+ "Applies the operation tablecloth.column.api.operators/sum-fast to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/sum-fast)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ signum
+ "Applies the operation tablecloth.column.api.operators/signum to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector options]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [options])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/signum)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation."))))))
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/signum)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ magnitude-squared
+ "Applies the operation tablecloth.column.api.operators/magnitude-squared to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     1
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply
+      tablecloth.column.api.operators/magnitude-squared)
+     (clojure.core/identity))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
+(defn
+ and
+ "Applies the operation tablecloth.column.api.operators/and to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
+ ([ds target-col columns-selector]
+  (let
+   [selected-cols__42927__auto__
+    (clojure.core/apply
+     clojure.core/vector
+     (tablecloth.api.dataset/columns
+      (tablecloth.api/select-columns ds columns-selector)))
+    args-to-pass__42928__auto__
+    (clojure.core/concat selected-cols__42927__auto__ [])]
+   (if
+    (clojure.core/>=
+     2
+     (clojure.core/count selected-cols__42927__auto__))
+    (clojure.core/->>
+     args-to-pass__42928__auto__
+     (clojure.core/apply tablecloth.column.api.operators/and)
+     (tablecloth.api/add-or-replace-column ds target-col))
+    (throw
+     (java.lang.Exception.
+      (clojure.core/str
+       "Exceeded maximum number of columns allowed for operation.")))))))
+
diff --git a/src/tablecloth/api/reshape.clj b/src/tablecloth/api/reshape.clj
index fdc4352..abcde6d 100644
--- a/src/tablecloth/api/reshape.clj
+++ b/src/tablecloth/api/reshape.clj
@@ -234,10 +234,11 @@
                                             join-name starting-ds-count fold-fn
                                             concat-columns-with concat-value-with)
                         starting-ds
-                        (ds/mapseq-reader grouped-ds))] ;; perform join on groups and create new columns
+                        (ds/mapseq-reader grouped-ds {:nil-missing? true}))] ;; perform join on groups and create new columns
      (cond-> (-> (if join-on-single? ;; finalize, recreate original columns from join column, and reorder stuff
                    result
                    (-> (separate-column result join-name rest-cols identity {:drop-column? true})
                        (reorder-columns rest-cols)))
                  (ds/set-dataset-name (ds/dataset-name ds)))
        drop-missing? (drop-missing)))))
+
diff --git a/src/tablecloth/column/api/lift_operators.clj b/src/tablecloth/column/api/lift_operators.clj
index 305d9d4..2c398c6 100644
--- a/src/tablecloth/column/api/lift_operators.clj
+++ b/src/tablecloth/column/api/lift_operators.clj
@@ -1,13 +1,72 @@
 (ns tablecloth.column.api.lift-operators
-  (:require [tablecloth.column.api.utils :refer [do-lift lift-op]]))
+  (:require [tablecloth.utils.codegen :refer [do-lift]]
+            [tablecloth.column.api :refer [column]]
+            [tech.v3.datatype.argtypes :refer [arg-type]]))
+
+(defn get-meta [fn-sym]
+  (-> fn-sym resolve meta))
+
+(defn get-arglists [fn-sym]
+  (-> fn-sym get-meta :arglists))
+
+(defn get-docstring [fn-sym]
+  (-> fn-sym get-meta :doc))
+
+(defn return-scalar-or-column [item]
+  (let [item-type (arg-type item)]
+    (if (= item-type :reader)
+      (column item)
+      item)))
+
+(defn lift-op
+  ([fn-sym]
+   (lift-op fn-sym nil))
+  ([fn-sym {:keys [new-args]}]
+   (let [defn (symbol "defn")
+         let  (symbol "let")
+         docstring (get-docstring fn-sym)
+         original-args (get-arglists fn-sym)
+         sort-by-arg-count (fn [argslist]
+                             (sort #(< (count %1) (count %2)) argslist))]
+     (if new-args
+      `(~defn ~(symbol (name fn-sym))
+        ~(or docstring "")
+        ~@(for [[new-arg new-arg-lookup original-arg]
+                (map vector (sort-by-arg-count (keys new-args))
+                            (sort-by-arg-count (vals new-args))
+                            (sort-by-arg-count original-args))
+                :let [filtered-original-arg (filter (partial not= '&) original-arg)]]
+            (list
+             (if new-arg new-arg original-arg)
+            `(~let [original-result# (~fn-sym
+                                      ~@(for [oldarg filtered-original-arg]
+                                          (if (nil? (get new-arg-lookup oldarg))
+                                            oldarg
+                                            (get new-arg-lookup oldarg))))]
+              (return-scalar-or-column original-result#)))))
+      `(~defn ~(symbol (name fn-sym)) 
+        ~(or docstring "") 
+        ~@(for [arg original-args
+                :let [[explicit-args rest-arg-expr] (split-with (partial not= '&) arg)]]
+            (list
+            arg
+            `(~let [original-result# ~(if (empty? rest-arg-expr)
+                                        `(~fn-sym ~@explicit-args)
+                                        `(apply ~fn-sym ~@explicit-args ~(second rest-arg-expr)))]
+              (return-scalar-or-column original-result#)))))))))
 
 (def serialized-lift-fn-lookup
-  {['*
+  {['<
+    '<=
+    '>
+    '>=
+    '*
     '+
     '-
     '/
     'abs
     'acos
+    'and
     'asin
     'atan
     'atan2
@@ -26,198 +85,94 @@
     'ceil
     'cos
     'cosh
+    'cumprod
+    'cumsum
+    'cummax
+    'cummin
+    'descriptive-statistics
+    'distance
+    'distance-squared
+    'dot-product
+    'even?
+    'equals
     'exp
     'expm1
+    'eq
+    'fill-range
+    'finite?
     'floor
     'get-significand
     'hypot
     'identity
     'ieee-remainder
+    'infinite?
+    'kendalls-correlation
+    'kurtosis
     'log
     'log10
     'log1p
     'logistic
+    'mathematical-integer?
     'magnitude
+    'magnitude-squared
     'max
+    'mean
+    'mean-fast
+    'median
     'min
+    'nan?
+    'neg?
     'next-down
     'next-up
-
+    'normalize
+    'not
+    'not-eq
+    'odd?
+    'or
+    'pearsons-correlation
+    'percentiles
+    'pos?
     'pow
+    'quartiles
+    'quartile-1
+    'quartile-3
     'quot
+    'reduce-min
+    'reduce-max
+    'reduce-*
+    'reduce-+
     'rem
     'rint
+    'round
+    'skew
+    'shift
     'signum
     'sin
     'sinh
+    'spearmans-correlation
     'sq
     'sqrt
+    'standard-deviation
+    'sum
+    'sum-fast
     'tan
     'tanh
     'to-degrees
     'to-radians
     'ulp
-    'unsigned-bit-shift-right] lift-op
-   ['kurtosis
-    'sum
-    'mean
-    'skew
+    'unsigned-bit-shift-right
     'variance
-    'standard-deviation
-    'quartile-3
-    'quartile-1
-    'median] (fn [fn-sym fn-meta]
-              (lift-op
-               fn-sym fn-meta
-               {:new-args {'[x] {'data 'x}
-                           '[x options] {'data 'x}}}))
-   ['even?
-    'finite?
-    'infinite?
-    'mathematical-integer?
-    'nan?
-    'neg?
-    'not
-    'odd?
-    'pos?
-    'round
-    'zero?]
-   (fn [fn-sym fn-meta]
-             (lift-op
-              fn-sym fn-meta
-              {:new-args {'[x] {'arg 'x}
-                          '[x options] {'arg 'x}}}))
-   ['percentiles] (fn [fn-sym fn-meta]
-                    (lift-op
-                     fn-sym fn-meta
-                     {:new-args {'[x percentiles] {'data 'x
-                                                   'percentages 'percentiles}
-                                 '[x percentiles options] {'data 'x
-                                                           'percentages 'percentiles}}}))
-   ['shift] (fn [fn-sym fn-meta]
-              (lift-op
-               fn-sym fn-meta
-               {:new-args {'[x n] {'rdr 'x}}}))
-   ['descriptive-statistics] (fn [fn-sym fn-meta]
-                              (lift-op
-                               fn-sym fn-meta
-                               {:new-args {'[x] {'rdr 'x}
-                                           '[x stats-names] {'rdr 'x}
-                                           '[x stats-names options] {'rdr 'x}
-                                           '[x stats-names stats-data options] {'src-rdr 'x}}}))
-   ['quartiles] (fn [fn-sym fn-meta]
-                  (lift-op
-                   fn-sym fn-meta
-                   {:new-args {'[x] {'item 'x}
-                               '[x options] {'item 'x}}}))
-   ['fill-range] (fn [fn-sym fn-meta]
-                  (lift-op
-                   fn-sym fn-meta
-                   {:new-args {'[x max-span] {'numeric-data 'x}}}))
-   ['reduce-min
-    'reduce-max
-    'reduce-*
-    'reduce-+] (fn [fn-sym fn-meta]
-                 (lift-op
+    'zero?] {:lift-fn lift-op}})
 
-                  fn-sym fn-meta
-                  {:new-args {'[x] {'rdr 'x}}}))
-  ['mean-fast
-   'sum-fast
-   'magnitude-squared] (fn [fn-sym fn-meta]
-                         (lift-op
-                          fn-sym fn-meta
-                          {:new-args {'[x] {'data 'x}}}))
-   ['kendalls-correlation
-    'pearsons-correlation
-    'spearmans-correlation] (fn [fn-sym fn-meta]
-                              (lift-op
-                               fn-sym fn-meta
-                               {:new-args {'[x y] {'lhs 'x
-                                                   'rhs 'y}
-                                           '[x y options] {'lhs 'x
-                                                           'rhs 'y}}}))
-   ['cumprod
-    'cumsum
-    'cummax
-    'cummin] (fn [fn-sym fn-meta]
-                (lift-op
-                 fn-sym fn-meta
-                 {:new-args {'[x] {'data 'x}}}))
-   ['normalize] (fn [fn-sym fn-meta]
-                  (lift-op
-                   fn-sym fn-meta
-                   {:new-args {'[x] {'item 'x}}}))
-   ['<
-    '<=
-    '>
-    '>=] (fn [fn-sym fn-meta]
-           (lift-op
-            fn-sym fn-meta
-            {:new-args {'[x y] {'lhs 'x
-                                'rhs 'y}
-                        '[x y z] {'lhs 'x
-                                  'mid 'y
-                                  'rhs 'z}}}))
-   ['equals] (fn [fn-sym fn-meta]
-               (lift-op
-                fn-sym fn-meta
-                {:new-args {'[x y & args] {'lhs 'x
-                                           'rhs 'y}}}))
-   ['distance
-    'dot-product
-    'eq
-    'not-eq
-    'or
-    'distance-squared
-    'and] (fn [fn-sym fn-meta]
-            (lift-op
-             fn-sym fn-meta
-             {:new-args {'[x y] {'lhs 'x
-                                 'rhs 'y}}}))})
-
-
-(defn deserialize-lift-fn-lookup []
-  (reduce (fn [m [symlist liftfn]]
-            (loop [syms symlist
-                   result m]
-              (if (empty? syms)
-                result
-                (recur (rest syms) (assoc result (first syms) liftfn)))))
-          {}
-          serialized-lift-fn-lookup))
 
 (comment
-  (do-lift (deserialize-lift-fn-lookup)
-           'tablecloth.column.api.operators
-           'tech.v3.datatype.functional
-           '[* + - / < <= > >= abs and bit-and bit-and-not bit-clear bit-flip
+  (do-lift {:target-ns 'tablecloth.column.api.operators
+            :source-ns 'tech.v3.datatype.functional
+            :lift-fn-lookup serialized-lift-fn-lookup
+            :deps ['tablecloth.column.api.lift_operators]
+            :exclusions
+            '[* + - / < <= > >= abs and bit-and bit-and-not bit-clear bit-flip
              bit-not bit-or bit-set bit-shift-left bit-shift-right bit-test bit-xor
              even? identity infinite? max min neg? not odd? odd? or pos? quot rem
-             unsigned-bit-shift-right zero?]
-           "src/tablecloth/column/api/operators.clj")
+             unsigned-bit-shift-right zero?]})
   ,)
-
-
-(comment
-
-  (def mylift (fn [fn-sym fn-meta]
-           (lift-op
-            fn-sym fn-meta
-            {:new-args {'[x y] {'lhs 'x
-                                'rhs 'y}
-                        '[x y z] {'lhs 'x
-                                  'mid 'y
-                                  'rhs 'z}}}
-            #_{:new-args '([x y z])
-             :new-args-lookup {'lhs 'x
-                               'mid 'y
-                               'rhs 'z}})))
-
-  (def mappings (ns-publics 'tech.v3.datatype.functional))
-
-  (mylift 'tech.v3.datatype.functional/> (meta (get mappings '>)))
-
-  tech.v3.datatype.functional/>
-
-  )
diff --git a/src/tablecloth/column/api/operators.clj b/src/tablecloth/column/api/operators.clj
index 51b8934..de724d5 100644
--- a/src/tablecloth/column/api/operators.clj
+++ b/src/tablecloth/column/api/operators.clj
@@ -1,6 +1,8 @@
 (ns
  tablecloth.column.api.operators
- (:require [tech.v3.datatype.functional] [tablecloth.column.api.utils])
+ (:require
+  [tech.v3.datatype.functional]
+  [tablecloth.column.api.lift_operators])
  (:refer-clojure
   :exclude
   [*
@@ -43,1616 +45,1634 @@
 (defn
  kurtosis
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/kurtosis x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/kurtosis x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/kurtosis x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  bit-set
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/bit-set x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/bit-set x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  finite?
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/finite? x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/finite? x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/finite? x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  distance
  ""
  ([x y]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/distance x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  reduce-min
  ""
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/reduce-min x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  to-radians
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/to-radians x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/to-radians x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  bit-shift-right
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/bit-shift-right x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/bit-shift-right
      x
      y
      args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  ieee-remainder
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/ieee-remainder x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/ieee-remainder
      x
      y
      args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  log
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/log x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/log x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/log x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  bit-shift-left
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/bit-shift-left x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/bit-shift-left
      x
      y
      args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  acos
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/acos x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/acos x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  to-degrees
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/to-degrees x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/to-degrees x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  <
  ""
- ([x y]
-  (let
-   [original-result__34672__auto__ (tech.v3.datatype.functional/< x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x y z]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/< x y z)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x y]
+  (let
+   [original-result__30648__auto__ (tech.v3.datatype.functional/< x y)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  floor
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/floor x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/floor x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  atan2
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/atan2 x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/atan2 x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  normalize
  ""
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/normalize x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  hypot
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/hypot x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/hypot x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  tanh
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/tanh x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/tanh x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  sq
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/sq x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/sq x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/sq x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  fill-range
  "Given a reader of numeric data and a max span amount, produce\n  a new reader where the difference between any two consecutive elements\n  is less than or equal to the max span amount.  Also return a bitmap of the added\n  indexes.  Uses linear interpolation to fill in areas, operates in double space.\n  Returns\n  {:result :missing}"
  ([x max-span]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/fill-range x max-span)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  sum
  "Double sum of data using\n  [Kahan compensated summation](https://en.wikipedia.org/wiki/Kahan_summation_algorithm)."
- ([x]
-  (let
-   [original-result__34672__auto__ (tech.v3.datatype.functional/sum x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/sum x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__ (tech.v3.datatype.functional/sum x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  pos?
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/pos? x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/pos? x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/pos? x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  shift
  "Shift by n and fill in with the first element for n>0 or last element for n<0.\n\n  Examples:\n\n```clojure\nuser> (dfn/shift (range 10) 2)\n[0 0 0 1 2 3 4 5 6 7]\nuser> (dfn/shift (range 10) -2)\n[2 3 4 5 6 7 8 9 9 9]\n```"
  ([x n]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/shift x n)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  ceil
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/ceil x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/ceil x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  bit-xor
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/bit-xor x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/bit-xor x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  unsigned-bit-shift-right
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/unsigned-bit-shift-right x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/unsigned-bit-shift-right
      x
      y
      args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  neg?
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/neg? x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/neg? x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/neg? x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  <=
  ""
- ([x y]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/<= x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x y z]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/<= x y z)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x y]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/<= x y)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  *
  ""
  ([x y]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/* x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/* x y)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/* x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  min
  ""
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/min x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/min x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/min x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/min x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  atan
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/atan x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/atan x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  mathematical-integer?
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/mathematical-integer? x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/mathematical-integer? x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/mathematical-integer? x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  cumprod
  "Cumulative running product; returns result in double space.\n\n  Options:\n\n  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
+ ([x options]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/cumprod x options)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/cumprod x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  expm1
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/expm1 x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/expm1 x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  identity
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/identity x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/identity x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  reduce-max
  ""
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/reduce-max x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  cumsum
  "Cumulative running summation; returns result in double space.\n\n  Options:\n\n  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
+ ([x options]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/cumsum x options)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/cumsum x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  descriptive-statistics
  "Calculate a set of descriptive statistics on a single reader.\n\n  Available stats:\n  #{:min :quartile-1 :sum :mean :mode :median :quartile-3 :max\n    :variance :standard-deviation :skew :n-elems :kurtosis}\n\n  options\n    - `:nan-strategy` - defaults to :remove, one of\n    [:keep :remove :exception]. The fastest option is :keep but this\n    may result in your results having NaN's in them.  You can also pass\n  in a double predicate to filter custom double values."
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/descriptive-statistics x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
- ([x stats-names]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/descriptive-statistics stats-names x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
- ([x stats-names options]
+ ([x stats-names stats-data options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/descriptive-statistics
+     x
      stats-names
-     options
-     x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
- ([x stats-names stats-data options]
+     stats-data
+     options)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x stats-names options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/descriptive-statistics
+     x
      stats-names
-     stats-data
-     options
-     x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+     options)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x stats-names]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/descriptive-statistics x stats-names)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/descriptive-statistics x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  nan?
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/nan? x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/nan? x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/nan? x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  bit-and-not
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/bit-and-not x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/bit-and-not
      x
      y
      args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  logistic
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/logistic x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/logistic x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  cos
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/cos x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/cos x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/cos x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  log10
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/log10 x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/log10 x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  quot
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/quot x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/quot x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  dot-product
  ""
  ([x y]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/dot-product x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  tan
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/tan x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/tan x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/tan x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  cbrt
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/cbrt x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/cbrt x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  eq
  ""
  ([x y]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/eq x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  mean
- "double mean of data"
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/mean x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
+ "double mean of x"
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/mean x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/mean x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  >
  ""
- ([x y]
-  (let
-   [original-result__34672__auto__ (tech.v3.datatype.functional/> x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x y z]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/> x y z)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x y]
+  (let
+   [original-result__30648__auto__ (tech.v3.datatype.functional/> x y)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  not-eq
  ""
  ([x y]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/not-eq x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  even?
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/even? x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/even? x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/even? x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  spearmans-correlation
  ""
+ ([x y options]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/spearmans-correlation x y options)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/spearmans-correlation x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
- ([x y options]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/spearmans-correlation options x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  sqrt
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/sqrt x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/sqrt x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  reduce-*
  ""
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/reduce-* x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  next-down
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/next-down x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/next-down x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  -
  ""
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/- x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/- x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/- x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/- x y)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/- x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  or
  ""
  ([x y]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/or x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  distance-squared
  ""
  ([x y]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/distance-squared x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  pow
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/pow x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/pow x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  next-up
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/next-up x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/next-up x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  skew
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/skew x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/skew x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/skew x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  exp
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/exp x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/exp x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/exp x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  mean-fast
- "Take the mean of the data.  This operation doesn't know anything about nan hence it is\n  a bit faster than the base [[mean]] fn."
+ "Take the mean of the x.  This operation doesn't know anything about nan hence it is\n  a bit faster than the base [[mean]] fn."
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/mean-fast x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  zero?
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/zero? x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/zero? x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/zero? x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  rem
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/rem x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/rem x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  cosh
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/cosh x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/cosh x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  variance
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/variance x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/variance x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/variance x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  reduce-+
  ""
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/reduce-+ x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  get-significand
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/get-significand x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/get-significand x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  bit-and
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/bit-and x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/bit-and x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  kendalls-correlation
  ""
+ ([x y options]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/kendalls-correlation x y options)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/kendalls-correlation x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
- ([x y options]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/kendalls-correlation options x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  not
  ""
- ([x]
-  (let
-   [original-result__34672__auto__ (tech.v3.datatype.functional/not x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/not x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__ (tech.v3.datatype.functional/not x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  standard-deviation
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/standard-deviation x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/standard-deviation x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/standard-deviation x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  cummin
  "Cumulative running min; returns result in double space.\n\n  Options:\n\n  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
+ ([x options]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/cummin x options)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/cummin x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  magnitude
  ""
- ([item _options]
-  (let
-   [original-result__34673__auto__
-    (tech.v3.datatype.functional/magnitude item _options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
- ([item]
+ ([x]
   (let
-   [original-result__34673__auto__
-    (tech.v3.datatype.functional/magnitude item)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/magnitude x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  cummax
  "Cumulative running max; returns result in double space.\n\n  Options:\n\n  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
+ ([x options]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/cummax x options)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/cummax x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  /
  ""
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional// x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   [original-result__30648__auto__ (tech.v3.datatype.functional// x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional// x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   [original-result__30648__auto__ (tech.v3.datatype.functional// x y)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional// x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  bit-or
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/bit-or x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/bit-or x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  equals
  ""
  ([x y & args]
   (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/equals x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   [original-result__30648__auto__
+    (clojure.core/apply tech.v3.datatype.functional/equals x y args)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  >=
  ""
- ([x y]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/>= x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x y z]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/>= x y z)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x y]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/>= x y)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  bit-flip
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/bit-flip x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/bit-flip x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  log1p
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/log1p x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/log1p x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  asin
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/asin x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/asin x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  quartiles
  "return [min, 25 50 75 max] of item"
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/quartiles x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/quartiles options x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/quartiles x options)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  quartile-3
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/quartile-3 x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/quartile-3 x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/quartile-3 x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  infinite?
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/infinite? x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/infinite? x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/infinite? x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  round
  "Vectorized implementation of Math/round.  Operates in double space\n  but returns a long or long reader."
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/round x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/round x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/round x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  quartile-1
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/quartile-1 x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/quartile-1 x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/quartile-1 x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  odd?
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/odd? x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/odd? x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/odd? x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  bit-clear
  ""
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/bit-clear x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply
      tech.v3.datatype.functional/bit-clear
      x
      y
      args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  +
  ""
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/+ x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/+ x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/+ x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/+ x y)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/+ x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  abs
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/abs x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/abs x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/abs x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  median
  ""
- ([x]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/median x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
  ([x options]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/median x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/median x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  pearsons-correlation
  ""
+ ([x y options]
+  (let
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/pearsons-correlation x y options)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/pearsons-correlation x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
- ([x y options]
-  (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/pearsons-correlation options x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  sinh
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/sinh x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/sinh x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  rint
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/rint x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/rint x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  bit-not
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/bit-not x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/bit-not x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  max
  ""
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/max x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/max x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/max x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x y & args]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (clojure.core/apply tech.v3.datatype.functional/max x y args)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  ulp
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/ulp x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/ulp x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/ulp x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  percentiles
  "Create a reader of percentile values, one for each percentage passed in.\n  Estimation types are in the set of #{:r1,r2...legacy} and are described\n  here: https://commons.apache.org/proper/commons-math/javadocs/api-3.3/index.html.\n\n  nan-strategy can be one of [:keep :remove :exception] and defaults to :exception."
- ([x percentiles]
+ ([x percentages options]
   (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/percentiles percentiles x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__)))
- ([x percentiles options]
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/percentiles x percentages options)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
+ ([x percentages]
   (let
-   [original-result__34672__auto__
-    (tech.v3.datatype.functional/percentiles percentiles options x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   [original-result__30648__auto__
+    (tech.v3.datatype.functional/percentiles x percentages)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  sin
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/sin x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__ (tech.v3.datatype.functional/sin x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   [original-result__30648__auto__ (tech.v3.datatype.functional/sin x)]
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  sum-fast
  "Find the sum of the data.  This operation is neither nan-aware nor does it implement\n  kahans compensation although via parallelization it implements pairwise summation\n  compensation.  For a more but slightly slower but far more correct sum operator,\n  use [[sum]]."
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/sum-fast x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  signum
  ""
  ([x options]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/signum x options)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__)))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__)))
  ([x]
   (let
-   [original-result__34673__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/signum x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34673__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  magnitude-squared
  ""
  ([x]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/magnitude-squared x)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
 (defn
  and
  ""
  ([x y]
   (let
-   [original-result__34672__auto__
+   [original-result__30648__auto__
     (tech.v3.datatype.functional/and x y)]
-   (tablecloth.column.api.utils/return-scalar-or-column
-    original-result__34672__auto__))))
+   (tablecloth.column.api.lift-operators/return-scalar-or-column
+    original-result__30648__auto__))))
 
diff --git a/src/tablecloth/column/api/utils.clj b/src/tablecloth/column/api/utils.clj
index 9aa0203..f7811e0 100644
--- a/src/tablecloth/column/api/utils.clj
+++ b/src/tablecloth/column/api/utils.clj
@@ -6,86 +6,5 @@
             [tech.v3.datatype.functional :as fun]
             [clojure.java.io :as io]))
 
-(defn return-scalar-or-column [item]
-  (let [item-type (arg-type item)]
-    (if (= item-type :reader)
-      (column item)
-      item)))
 
-(defn lift-op
-  ([fn-sym fn-meta]
-   (lift-op fn-sym fn-meta nil))
-  ([fn-sym fn-meta {:keys [new-args]}]
-   (let [defn (symbol "defn")
-         let  (symbol "let")
-         docstring (:doc fn-meta)
-         original-args (:arglists fn-meta)
-         sort-by-arg-count (fn [argslist]
-                             (sort #(< (count %1) (count %2)) argslist))]
-     (if new-args
-      `(~defn ~(symbol (name fn-sym))
-        ~(or docstring "")
-        ~@(for [[new-arg new-arg-lookup original-arg]
-                (map vector (sort-by-arg-count (keys new-args))
-                            (sort-by-arg-count (vals new-args))
-                            (sort-by-arg-count original-args))
-                :let [filtered-original-arg (filter (partial not= '&) original-arg)]]
-            (list
-             (if new-arg new-arg original-arg)
-            `(~let [original-result# (~fn-sym
-                                      ~@(for [oldarg filtered-original-arg]
-                                          (if (nil? (get new-arg-lookup oldarg))
-                                            oldarg
-                                            (get new-arg-lookup oldarg))))]
-              (return-scalar-or-column original-result#)))))
-      `(~defn ~(symbol (name fn-sym)) 
-        ~(or docstring "") 
-        ~@(for [arg original-args
-                :let [[explicit-args rest-arg-expr] (split-with (partial not= '&) arg)]]
-            (list
-            arg
-            `(~let [original-result# ~(if (empty? rest-arg-expr)
-                                        `(~fn-sym ~@explicit-args)
-                                        `(apply ~fn-sym ~@explicit-args ~(second rest-arg-expr)))]
-              (return-scalar-or-column original-result#)))))))))
 
-
-(defn- writeln!
-  ^Writer [^Writer writer strdata & strdatas]
-  (.append writer (str strdata))
-  (doseq [data strdatas]
-    (when data
-      (.append writer (str data))))
-  (.append writer "\n")
-  writer)
-
-(defn- write-empty-ln! ^Writer [^Writer writer]
-  (writeln! writer "")
-  writer)
-
-(defn- write-pp ^Writer [^Writer writer item]
-  (clojure.pprint/pprint item writer)
-  writer)
-
-(defn get-lifted [lift-fn-lookup source-ns]
-  (let [fun-mappings (ns-publics source-ns)]
-    (map (fn [[fnsym lift-fn]]
-           (lift-fn (symbol (name source-ns) (name fnsym))
-                    (meta (get fun-mappings fnsym))))
-        lift-fn-lookup)))
-
-(defn get-ns-header [target-ns source-ns ns-exclusions]
-  (let [ns (symbol "ns")]
-    `(~ns ~target-ns
-      (:require [~source-ns]
-                [tablecloth.column.api.utils])
-      (:refer-clojure :exclude ~ns-exclusions))))
-
-(defn do-lift [lift-plan target-ns source-ns ns-exclusions filename]
-  (with-open [writer (io/writer filename :append false)]
-    (write-pp writer (get-ns-header target-ns source-ns ns-exclusions))
-    (write-empty-ln! writer)
-    (doseq [f (get-lifted lift-plan source-ns)]
-      (-> writer
-           (write-pp f)
-           (write-empty-ln!)))))
diff --git a/src/tablecloth/utils/codegen.clj b/src/tablecloth/utils/codegen.clj
new file mode 100644
index 0000000..6411ce7
--- /dev/null
+++ b/src/tablecloth/utils/codegen.clj
@@ -0,0 +1,81 @@
+(ns tablecloth.utils.codegen
+  (:import [java.io Writer])
+  (:require [tech.v3.datatype.export-symbols :as exporter]
+            [clojure.java.io :as io]))
+
+(defn- writeln!
+  ^Writer [^Writer writer strdata & strdatas]
+  (.append writer (str strdata))
+  (doseq [data strdatas]
+    (when data
+      (.append writer (str data))))
+  (.append writer "\n")
+  writer)
+
+(defn- write-empty-ln! ^Writer [^Writer writer]
+  (writeln! writer "")
+  writer)
+
+(defn- write-pp ^Writer [^Writer writer item]
+  (clojure.pprint/pprint item writer)
+  writer)
+
+(defn deserialize-lift-fn-lookup [serialized-lift-fn-lookup]
+  (reduce (fn [m [symlist liftfn]]
+            (loop [syms symlist
+                   result m]
+              (if (empty? syms)
+                result
+                (recur (rest syms) (assoc result (first syms) liftfn)))))
+          {}
+          serialized-lift-fn-lookup))
+
+(defn get-lifted [lift-fn-lookup source-ns]
+  (let [fun-mappings (ns-publics source-ns)]
+    (map (fn [[fnsym {:keys [lift-fn optional-args]}]]
+           (lift-fn (symbol (name source-ns) (name fnsym)) optional-args))
+         (deserialize-lift-fn-lookup lift-fn-lookup))))
+
+(defn namespace-to-path [ns-str]
+  (-> ns-str
+       (name)
+       (clojure.string/replace "." "/")
+       (clojure.string/replace "-" "_")
+       (->> (str "./src/"))
+       (str ".clj")))
+
+(defn build-ns-header
+  "Generates a namespace header with the specified target-ns and
+  source-ns, along with optional additional dependencies and
+  exclusions. If exclusions are provided, they will be used to exclude
+  the specified symbol(s) from the :refer-clojure directive."
+  ([target-ns source-ns]
+   (build-ns-header target-ns source-ns nil nil))
+  ([target-ns source-ns additional-deps]
+   (build-ns-header target-ns source-ns additional-deps nil))
+  ([target-ns source-ns additional-deps exclusions]
+   (let [ns (symbol "ns")]
+     `(~ns ~target-ns
+       (:require [~source-ns]
+                 ~@(for [dep additional-deps]
+                     [dep]))
+       ~@(when exclusions `((:refer-clojure :exclude ~exclusions)))))))
+
+(defn do-lift
+  "Writes the lifted functions to target namespace.
+
+   Example:
+     {:target-ns 'tablecloth.api.operators
+     :source-ns 'tablecloth.column.api.operators
+     :lift-fn-lookup {['+ '- '*] lift-fn}
+     :deps ['tablecloth.api.lift_operators]
+     :exclusions
+     '[* + -]}"
+[{:keys [target-ns source-ns lift-fn-lookup deps exclusions]}]
+  (with-open [writer (io/writer (namespace-to-path target-ns) :append false)]
+    (write-pp writer (build-ns-header target-ns source-ns deps exclusions))
+    (write-empty-ln! writer)
+    (doseq [f (get-lifted lift-fn-lookup source-ns)]
+      (-> writer
+           (write-pp f)
+           (write-empty-ln!)))))
diff --git a/test/tablecloth/api/dataset_test.clj b/test/tablecloth/api/dataset_test.clj
index 283f91c..d931101 100644
--- a/test/tablecloth/api/dataset_test.clj
+++ b/test/tablecloth/api/dataset_test.clj
@@ -86,25 +86,32 @@
 
 (fact "dataset-info"
       (fact
-       (-> (api/info DS)
-           (select-keys [:col-name :datatype]))
-       => {:col-name [:V1 :V2 :V3 :V4]
-           :datatype [:int64 :int64 :float64 :string]})
+        (-> (api/info DS)
+            (select-keys [:col-name :datatype]))
+        => {:col-name [:V1 :V2 :V3 :V4]
+            :datatype [:int64 :int64 :float64 :string]})
       (fact
-       (-> (api/info DS)
-           (api/column-names))
-       => '(:col-name :datatype :n-valid :n-missing :min :mean :mode :max :standard-deviation :skew :first :last))
+        (-> (api/info DS)
+            (api/column-names))
+        => '(:col-name :datatype :n-valid :n-missing :min :mean :mode :max :standard-deviation :skew :first :last))
       (fact
-       (-> (api/info DS :basic)
-           (api/rows :as-maps))
-       => [{:name "DS", :columns 4, :rows 9, :grouped? false}])
+        (-> (api/info DS :basic)
+            (api/rows :as-maps))
+        => [{:name "DS", :columns 4, :rows 9, :grouped? false}])
       (fact
-       (-> (api/info DS :columns)
-           (api/rows :as-maps))
-       => [{:name :V1, :n-elems 9, :categorical? nil, :datatype :int64}
-           {:name :V2, :n-elems 9, :categorical? nil, :datatype :int64}
-           {:name :V3, :n-elems 9, :categorical? nil, :datatype :float64}
-           {:name :V4, :n-elems 9, :categorical? true, :datatype :string}]))
+        (-> (api/info DS :columns)
+            (api/rows :as-maps))
+        => [{:name :V1, :n-elems 9, :categorical? nil, :datatype :int64}
+            {:name :V2, :n-elems 9, :categorical? nil, :datatype :int64}
+            {:name :V3, :n-elems 9, :categorical? nil, :datatype :float64}
+            {:name :V4, :n-elems 9, :categorical? true, :datatype :string}])
+      (fact
+        (-> (api/info DS :columns)
+            (api/rows :as-maps {:nil-missing? false}))
+        => [{:name :V1, :n-elems 9, :datatype :int64}
+            {:name :V2, :n-elems 9, :datatype :int64}
+            {:name :V3, :n-elems 9, :datatype :float64}
+            {:name :V4, :n-elems 9, :categorical? true, :datatype :string}]))
 
 (fact "as-double-arrays"
       (tabular (fact (-> (api/dataset {:a [1 2 3]
diff --git a/test/tablecloth/api/operators_test.clj b/test/tablecloth/api/operators_test.clj
new file mode 100644
index 0000000..23fa381
--- /dev/null
+++ b/test/tablecloth/api/operators_test.clj
@@ -0,0 +1,180 @@
+(ns tablecloth.api.operators-test
+  (:refer-clojure :exclude [* + - / < <= > >= abs and bit-and bit-and-not bit-clear bit-flip
+                              bit-not bit-or bit-set bit-shift-left bit-shift-right bit-test bit-xor
+                              even? identity infinite? max min neg? not odd? odd? or pos? quot rem
+                              unsigned-bit-shift-right zero?])
+  (:require [tablecloth.api :refer [dataset]]
+            [tech.v3.datatype :refer [elemwise-datatype]]
+            [midje.sweet :refer [fact facts =>]])
+  (:use [tablecloth.api.operators]))
+
+
+(defn scalar? [item]
+  (= (tech.v3.datatype.argtypes/arg-type item)
+     :scalar))
+
+(facts
+ "about ops that return the op result"
+
+ (facts
+  "about ops that take a maximum of one column and return a scalar"
+  (let [ds (dataset {:a [1 2 3]})]
+    (let [ops [kurtosis
+               magnitude
+               magnitude-squared
+               mean
+               mean-fast
+               median
+               quartile-1
+               quartile-3
+               reduce-*
+               reduce-+
+               reduce-max
+               reduce-min
+               skew
+               sum
+               sum-fast
+               variance]]
+      (doseq [op ops]
+        (let [result (op ds [:a])]
+          result => scalar?)))))
+
+ (facts
+  "about ops that take a maximum of two columns and return a scalar"
+  (let [ds (dataset {:a [1 2 3]
+                     :b [4 5 6]})]
+    (let [ops [distance
+               distance-squared
+               dot-product]]
+      (doseq [op ops]
+        (let [result (op ds [:a :b])]
+          result => scalar?))))))
+
+(facts
+ "about ops that return a dataset with a new column"
+
+ (facts
+  "about ops that take a maximum of one column"
+  (let [ds (dataset {:a [1 2 3]})]
+    (let [result (shift ds :b [:a] 1)]
+      (:b result) => [1 1 2])
+
+    (let [ops [cummax
+               cummin
+               cumprod
+               cumsum
+               abs
+               acos
+               asin
+               atan
+               bit-not
+               cbrt
+               ceil
+               cos
+               cosh
+               even?
+               exp
+               expm1
+               finite?
+               floor
+               get-significand
+               identity
+               infinite?
+               log
+               log10
+               log1p
+               logistic
+               mathematical-integer?
+               nan?
+               neg?
+               next-down
+               next-up
+               normalize
+               not
+               odd?
+               pos?
+               rint
+               round
+               signum
+               sin
+               sinh
+               sq
+               sqrt
+               tan
+               tanh
+               to-degrees
+               to-radians
+               ulp
+               zero?]]
+        (doseq [op ops]
+          (let [result (op ds :b [:a])]
+            (contains? result :b) => true)))))
+
+ (facts
+  "about ops that take a maximum of two columns"
+  (let [ops [and eq not-eq or]
+        ds (dataset {:a [1 2 3]
+                     :b [4 5 6]})]
+      (doseq [op ops]
+        (let [result (op ds :c [:a :b :c])]
+          (contains? result :c) => true))))
+
+ (facts
+  "about ops that take a maximum of three columns"
+  (let [ops [< > <= >=]
+        ds (dataset {:a [1 2 3]
+                     :b [4 5 6]
+                     :c [7 8 9]})]
+    (doseq [op ops]
+      (let [result (op ds :d [:a :b :c])]
+        (contains? result :d) => true))))
+
+ (facts
+  "about ops that can take an unlimited number of columns"
+  (let [ops [/
+             -
+             +
+             *
+             atan2
+             ;; equals  // this function doesn't seem to handle more than two cols
+             hypot
+             bit-and
+             bit-and-not
+             bit-clear
+             bit-flip
+             bit-or
+             bit-set
+             bit-shift-right
+             bit-shift-left
+             bit-xor
+             ieee-remainder
+             max
+             min
+             pow
+             quot
+             rem
+             unsigned-bit-shift-right]
+        ds (dataset {:a [1 2 3]
+                     :b [4 5 6]
+                     :c [7 8 9]
+                     :d [10 11 12]})]
+    (doseq [op ops]
+      (let [result (op ds :e [:a :b :c :d])]
+        (contains? result :e) => true)))))
+
+
+(comment 
+  ;; some analysis I'll keep around for now b/c it may be useful later
+  (defn longest-vector [lst]
+    (reduce #(max-key count %1 %2) lst))
+
+  (->> (ns-publics 'tablecloth.column.api.operators)
+      (map (fn [[sym var]] [sym (-> var meta :arglists)]))
+      (map (fn [[sym arglist]] [sym (longest-vector arglist)]))
+      (reduce (fn [memo [sym longest-arglist]]
+                (if (contains? memo longest-arglist)
+                  (update memo longest-arglist conj sym)
+                  (assoc memo longest-arglist [sym])))
+              {})
+      (reduce (fn [m [k v]] (update m k sort v)) {})
+      ))
diff --git a/test/tablecloth/column/api/operators_test.clj b/test/tablecloth/column/api/operators_test.clj
index 6c4d2ac..1e8cfce 100644
--- a/test/tablecloth/column/api/operators_test.clj
+++ b/test/tablecloth/column/api/operators_test.clj
@@ -8,8 +8,6 @@
             [tablecloth.column.api :refer [column column? typeof]])
   (:use [tablecloth.column.api.operators]))
 
-(tech.v3.datatype.functional/spearmans-correlation [1 2] [2 1])
-
 (defn sample-column [n]
   (column (repeatedly n #(rand-int 100))))
 
@@ -78,7 +76,8 @@
            tanh
            to-degrees
            to-radians
-           ulp]
+           ulp
+          ]
       a (sample-column 5)]
   (doseq [op ops]
     (op a) => column?)))

From eee60d39dfc0138eb06bfa1c4812a33d401cba07 Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Fri, 3 Nov 2023 15:25:26 -0400
Subject: [PATCH 31/42] Ethan/lift scalar ops to ds as aggregators (#118)

* Fix indentation

* Save rough working example

Not fully tested

* Fix tests for new aggregator form of ops that return scalar
---
 src/tablecloth/api/lift_operators.clj  |   47 +-
 src/tablecloth/api/operators.clj       | 2504 +++++++++++++-----------
 test/tablecloth/api/operators_test.clj |   53 +-
 3 files changed, 1418 insertions(+), 1186 deletions(-)

diff --git a/src/tablecloth/api/lift_operators.clj b/src/tablecloth/api/lift_operators.clj
index a22c170..b2b758a 100644
--- a/src/tablecloth/api/lift_operators.clj
+++ b/src/tablecloth/api/lift_operators.clj
@@ -61,8 +61,9 @@
 
     Resulting signature:
     (lift-op [fn-sym]) => (fn [ds columns-selector target-col] ...)"
-  [fn-sym {:keys [return-ds?]
-           :or {return-ds? false}}]
+  [fn-sym {:keys [return-ds? make-aggregator?]
+           :or {return-ds? false
+                make-aggregator? false}}]
   (let [defn (symbol "defn")
         let (symbol "let")
         arglists (get-arglists fn-sym)
@@ -73,16 +74,36 @@
     `(~defn ~new-fn-sym
       ~new-docstring
       ~@(for [args lifted-arglists]
-          `(~args
-            (~let [selected-cols# (apply vector (tablecloth.api.dataset/columns
-                                                 (select-columns ~'ds ~'columns-selector)))
-            
-       args-to-pass# (concat selected-cols# [~@(drop 3 args)])]
-             (if (>= ~max-cols (count selected-cols#))
-               (->> args-to-pass#
-                 (apply ~fn-sym)
-                 ~(if return-ds? `(add-or-replace-column ~'ds ~'target-col) `(identity)))
-               (throw (Exception. (str "Exceeded maximum number of columns allowed for operation."))))))))))
+          (if make-aggregator?
+            ;; build an aggregator fn
+            `(~args
+              (~let [aggregator#
+                     (fn [ds#]
+                       (~let [ds-with-selected-cols#
+                              (select-columns ds# ~'columns-selector)
+                              cols-count#
+                              (-> ds-with-selected-cols#
+                                  tablecloth.api/column-names
+                                  count)
+                              selected-cols# (tablecloth.api/columns ds-with-selected-cols#)]
+                        (if (>= ~max-cols cols-count#)
+                          (apply ~fn-sym (apply vector selected-cols#))
+                          (throw (Exception. (str "Exceeded maximum number of columns allowed for operation."))))))]
+               (tablecloth.api/aggregate ~'ds aggregator#)))
+            ;; build either a fn that returns a dataset or the result of the operation
+            `(~args
+              (~let [selected-cols# (apply vector (tablecloth.api.dataset/columns
+                                                   (select-columns ~'ds ~'columns-selector)))
+                     args-to-pass# (concat selected-cols# [~@(drop 3 args)])]
+               (if (>= ~max-cols (count selected-cols#))
+                 (->> args-to-pass#
+                      (apply ~fn-sym)
+                      ~(if return-ds? `(add-or-replace-column ~'ds ~'target-col) `(identity)))
+                 (throw (Exception. (str "Exceeded maximum number of columns allowed for operation.")))))))))))
+
+(lift-op 'tablecloth.column.api.operators/bit-set {})
+
+(lift-op 'tablecloth.column.api.operators/mean {:make-aggregator? true})
 
 (def serialized-lift-fn-lookup
   {'[distance
@@ -105,7 +126,7 @@
      sum
      sum-fast
      variance]
-    {:lift-fn lift-op :optional-args {:return-ds? false}}
+    {:lift-fn lift-op :optional-args {:make-aggregator? true}}
    '[*
      +
      -
diff --git a/src/tablecloth/api/operators.clj b/src/tablecloth/api/operators.clj
index d58bd85..3649b90 100644
--- a/src/tablecloth/api/operators.clj
+++ b/src/tablecloth/api/operators.clj
@@ -47,65 +47,81 @@
  "Applies the operation tablecloth.column.api.operators/kurtosis to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/kurtosis)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation."))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/kurtosis
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/kurtosis)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/kurtosis
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  bit-set
  "Applies the operation tablecloth.column.api.operators/bit-set to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-set)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -118,19 +134,19 @@
  "Applies the operation tablecloth.column.api.operators/finite? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/finite?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -139,19 +155,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/finite?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -164,69 +180,85 @@
  "Applies the operation tablecloth.column.api.operators/distance to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     2
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/distance)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 2 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/distance
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  reduce-min
  "Applies the operation tablecloth.column.api.operators/reduce-min to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/reduce-min)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/reduce-min
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  to-radians
  "Applies the operation tablecloth.column.api.operators/to-radians to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/to-radians)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -235,19 +267,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/to-radians)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -260,19 +292,19 @@
  "Applies the operation tablecloth.column.api.operators/bit-shift-right to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/bit-shift-right)
      (tablecloth.api/add-or-replace-column ds target-col))
@@ -286,19 +318,19 @@
  "Applies the operation tablecloth.column.api.operators/ieee-remainder to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/ieee-remainder)
      (tablecloth.api/add-or-replace-column ds target-col))
@@ -312,19 +344,19 @@
  "Applies the operation tablecloth.column.api.operators/log to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/log)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -333,19 +365,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/log)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -358,19 +390,19 @@
  "Applies the operation tablecloth.column.api.operators/bit-shift-left to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/bit-shift-left)
      (tablecloth.api/add-or-replace-column ds target-col))
@@ -384,19 +416,19 @@
  "Applies the operation tablecloth.column.api.operators/acos to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/acos)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -405,19 +437,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/acos)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -430,19 +462,19 @@
  "Applies the operation tablecloth.column.api.operators/to-degrees to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/to-degrees)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -451,19 +483,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/to-degrees)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -476,19 +508,19 @@
  "Applies the operation tablecloth.column.api.operators/< to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      3
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/<)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -501,19 +533,19 @@
  "Applies the operation tablecloth.column.api.operators/floor to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/floor)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -522,19 +554,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/floor)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -547,19 +579,19 @@
  "Applies the operation tablecloth.column.api.operators/atan2 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/atan2)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -572,19 +604,19 @@
  "Applies the operation tablecloth.column.api.operators/normalize to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/normalize)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -597,19 +629,19 @@
  "Applies the operation tablecloth.column.api.operators/hypot to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/hypot)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -622,19 +654,19 @@
  "Applies the operation tablecloth.column.api.operators/tanh to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/tanh)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -643,19 +675,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/tanh)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -668,19 +700,19 @@
  "Applies the operation tablecloth.column.api.operators/sq to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/sq)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -689,19 +721,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/sq)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -714,65 +746,81 @@
  "Applies the operation tablecloth.column.api.operators/sum to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/sum)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation."))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/sum
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/sum)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/sum
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  pos?
  "Applies the operation tablecloth.column.api.operators/pos? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/pos?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -781,19 +829,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/pos?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -806,19 +854,19 @@
  "Applies the operation tablecloth.column.api.operators/shift to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector n]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [n])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [n])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/shift)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -831,19 +879,19 @@
  "Applies the operation tablecloth.column.api.operators/ceil to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/ceil)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -852,19 +900,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/ceil)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -877,19 +925,19 @@
  "Applies the operation tablecloth.column.api.operators/bit-xor to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-xor)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -902,19 +950,19 @@
  "Applies the operation tablecloth.column.api.operators/unsigned-bit-shift-right to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/unsigned-bit-shift-right)
      (tablecloth.api/add-or-replace-column ds target-col))
@@ -928,19 +976,19 @@
  "Applies the operation tablecloth.column.api.operators/neg? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/neg?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -949,19 +997,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/neg?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -974,19 +1022,19 @@
  "Applies the operation tablecloth.column.api.operators/<= to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      3
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/<=)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -999,19 +1047,19 @@
  "Applies the operation tablecloth.column.api.operators/* to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/*)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1024,19 +1072,19 @@
  "Applies the operation tablecloth.column.api.operators/min to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/min)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1049,19 +1097,19 @@
  "Applies the operation tablecloth.column.api.operators/atan to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/atan)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1070,19 +1118,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/atan)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1095,19 +1143,19 @@
  "Applies the operation tablecloth.column.api.operators/mathematical-integer? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/mathematical-integer?)
      (tablecloth.api/add-or-replace-column ds target-col))
@@ -1117,19 +1165,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/mathematical-integer?)
      (tablecloth.api/add-or-replace-column ds target-col))
@@ -1143,19 +1191,19 @@
  "Applies the operation tablecloth.column.api.operators/cumprod to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cumprod)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1164,19 +1212,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cumprod)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1189,19 +1237,19 @@
  "Applies the operation tablecloth.column.api.operators/expm1 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/expm1)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1210,19 +1258,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/expm1)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1235,19 +1283,19 @@
  "Applies the operation tablecloth.column.api.operators/identity to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/identity)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1256,19 +1304,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/identity)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1281,44 +1329,52 @@
  "Applies the operation tablecloth.column.api.operators/reduce-max to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/reduce-max)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/reduce-max
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  cumsum
  "Applies the operation tablecloth.column.api.operators/cumsum to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cumsum)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1327,19 +1383,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cumsum)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1352,19 +1408,19 @@
  "Applies the operation tablecloth.column.api.operators/nan? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/nan?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1373,19 +1429,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/nan?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1398,19 +1454,19 @@
  "Applies the operation tablecloth.column.api.operators/bit-and-not to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-and-not)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1423,19 +1479,19 @@
  "Applies the operation tablecloth.column.api.operators/logistic to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/logistic)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1444,19 +1500,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/logistic)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1469,19 +1525,19 @@
  "Applies the operation tablecloth.column.api.operators/cos to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cos)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1490,19 +1546,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cos)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1515,19 +1571,19 @@
  "Applies the operation tablecloth.column.api.operators/log10 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/log10)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1536,19 +1592,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/log10)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1561,19 +1617,19 @@
  "Applies the operation tablecloth.column.api.operators/quot to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/quot)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1586,44 +1642,52 @@
  "Applies the operation tablecloth.column.api.operators/dot-product to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     2
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/dot-product)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 2 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/dot-product
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  tan
  "Applies the operation tablecloth.column.api.operators/tan to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/tan)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1632,19 +1696,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/tan)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1657,19 +1721,19 @@
  "Applies the operation tablecloth.column.api.operators/cbrt to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cbrt)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1678,19 +1742,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cbrt)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1703,19 +1767,19 @@
  "Applies the operation tablecloth.column.api.operators/eq to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      2
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/eq)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1728,65 +1792,81 @@
  "Applies the operation tablecloth.column.api.operators/mean to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/mean)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation."))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/mean
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/mean)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/mean
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  >
  "Applies the operation tablecloth.column.api.operators/> to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      3
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/>)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1799,19 +1879,19 @@
  "Applies the operation tablecloth.column.api.operators/not-eq to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      2
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/not-eq)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1824,19 +1904,19 @@
  "Applies the operation tablecloth.column.api.operators/even? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/even?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1845,19 +1925,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/even?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1870,19 +1950,19 @@
  "Applies the operation tablecloth.column.api.operators/sqrt to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/sqrt)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1891,19 +1971,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/sqrt)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1916,44 +1996,52 @@
  "Applies the operation tablecloth.column.api.operators/reduce-* to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/reduce-*)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/reduce-*
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  next-down
  "Applies the operation tablecloth.column.api.operators/next-down to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/next-down)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1962,19 +2050,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/next-down)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -1987,19 +2075,19 @@
  "Applies the operation tablecloth.column.api.operators/- to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/-)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2012,19 +2100,19 @@
  "Applies the operation tablecloth.column.api.operators/or to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      2
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/or)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2037,45 +2125,52 @@
  "Applies the operation tablecloth.column.api.operators/distance-squared to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     2
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply
-      tablecloth.column.api.operators/distance-squared)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 2 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/distance-squared
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  pow
  "Applies the operation tablecloth.column.api.operators/pow to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/pow)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2088,19 +2183,19 @@
  "Applies the operation tablecloth.column.api.operators/next-up to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/next-up)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2109,19 +2204,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/next-up)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2134,65 +2229,81 @@
  "Applies the operation tablecloth.column.api.operators/skew to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/skew)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation."))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/skew
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/skew)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/skew
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  exp
  "Applies the operation tablecloth.column.api.operators/exp to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/exp)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2201,19 +2312,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/exp)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2226,44 +2337,52 @@
  "Applies the operation tablecloth.column.api.operators/mean-fast to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/mean-fast)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/mean-fast
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  zero?
  "Applies the operation tablecloth.column.api.operators/zero? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/zero?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2272,19 +2391,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/zero?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2297,19 +2416,19 @@
  "Applies the operation tablecloth.column.api.operators/rem to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/rem)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2322,19 +2441,19 @@
  "Applies the operation tablecloth.column.api.operators/cosh to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cosh)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2343,19 +2462,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cosh)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2368,90 +2487,114 @@
  "Applies the operation tablecloth.column.api.operators/variance to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/variance)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation."))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/variance
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/variance)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/variance
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  reduce-+
  "Applies the operation tablecloth.column.api.operators/reduce-+ to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/reduce-+)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/reduce-+
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  get-significand
  "Applies the operation tablecloth.column.api.operators/get-significand to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/get-significand)
      (tablecloth.api/add-or-replace-column ds target-col))
@@ -2461,19 +2604,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/get-significand)
      (tablecloth.api/add-or-replace-column ds target-col))
@@ -2487,19 +2630,19 @@
  "Applies the operation tablecloth.column.api.operators/bit-and to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-and)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2512,19 +2655,19 @@
  "Applies the operation tablecloth.column.api.operators/not to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/not)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2533,19 +2676,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/not)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2558,19 +2701,19 @@
  "Applies the operation tablecloth.column.api.operators/cummin to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cummin)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2579,19 +2722,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cummin)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2604,44 +2747,52 @@
  "Applies the operation tablecloth.column.api.operators/magnitude to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/magnitude)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/magnitude
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  cummax
  "Applies the operation tablecloth.column.api.operators/cummax to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cummax)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2650,19 +2801,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/cummax)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2675,19 +2826,19 @@
  "Applies the operation tablecloth.column.api.operators// to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators//)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2700,19 +2851,19 @@
  "Applies the operation tablecloth.column.api.operators/bit-or to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-or)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2725,19 +2876,19 @@
  "Applies the operation tablecloth.column.api.operators/>= to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      3
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/>=)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2750,19 +2901,19 @@
  "Applies the operation tablecloth.column.api.operators/bit-flip to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-flip)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2775,19 +2926,19 @@
  "Applies the operation tablecloth.column.api.operators/log1p to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/log1p)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2796,19 +2947,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/log1p)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2821,19 +2972,19 @@
  "Applies the operation tablecloth.column.api.operators/asin to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/asin)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2842,19 +2993,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/asin)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2867,65 +3018,81 @@
  "Applies the operation tablecloth.column.api.operators/quartile-3 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/quartile-3)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation."))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/quartile-3
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/quartile-3)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/quartile-3
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  infinite?
  "Applies the operation tablecloth.column.api.operators/infinite? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/infinite?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2934,19 +3101,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/infinite?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2959,19 +3126,19 @@
  "Applies the operation tablecloth.column.api.operators/round to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/round)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -2980,19 +3147,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/round)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3005,65 +3172,81 @@
  "Applies the operation tablecloth.column.api.operators/quartile-1 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/quartile-1)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation."))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/quartile-1
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/quartile-1)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/quartile-1
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  odd?
  "Applies the operation tablecloth.column.api.operators/odd? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/odd?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3072,19 +3255,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/odd?)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3097,19 +3280,19 @@
  "Applies the operation tablecloth.column.api.operators/bit-clear to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-clear)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3122,19 +3305,19 @@
  "Applies the operation tablecloth.column.api.operators/+ to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/+)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3147,19 +3330,19 @@
  "Applies the operation tablecloth.column.api.operators/abs to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/abs)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3168,19 +3351,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/abs)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3193,65 +3376,81 @@
  "Applies the operation tablecloth.column.api.operators/median to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/median)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation."))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/median
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/median)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/median
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  sinh
  "Applies the operation tablecloth.column.api.operators/sinh to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/sinh)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3260,19 +3459,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/sinh)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3285,19 +3484,19 @@
  "Applies the operation tablecloth.column.api.operators/rint to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/rint)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3306,19 +3505,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/rint)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3331,19 +3530,19 @@
  "Applies the operation tablecloth.column.api.operators/bit-not to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-not)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3352,19 +3551,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-not)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3377,19 +3576,19 @@
  "Applies the operation tablecloth.column.api.operators/max to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/max)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3402,19 +3601,19 @@
  "Applies the operation tablecloth.column.api.operators/ulp to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/ulp)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3423,19 +3622,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/ulp)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3448,21 +3647,21 @@
  "Applies the operation tablecloth.column.api.operators/percentiles to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector percentages options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
+    args-to-pass__47431__auto__
     (clojure.core/concat
-     selected-cols__42927__auto__
+     selected-cols__47430__auto__
      [percentages options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/percentiles)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3471,19 +3670,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector percentages]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [percentages])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [percentages])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/percentiles)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3496,19 +3695,19 @@
  "Applies the operation tablecloth.column.api.operators/sin to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/sin)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3517,19 +3716,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/sin)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3542,44 +3741,52 @@
  "Applies the operation tablecloth.column.api.operators/sum-fast to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply tablecloth.column.api.operators/sum-fast)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/sum-fast
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  signum
  "Applies the operation tablecloth.column.api.operators/signum to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [options])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/signum)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3588,19 +3795,19 @@
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/signum)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
@@ -3613,45 +3820,52 @@
  "Applies the operation tablecloth.column.api.operators/magnitude-squared to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [selected-cols__42927__auto__
-    (clojure.core/apply
-     clojure.core/vector
-     (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
-   (if
-    (clojure.core/>=
-     1
-     (clojure.core/count selected-cols__42927__auto__))
-    (clojure.core/->>
-     args-to-pass__42928__auto__
-     (clojure.core/apply
-      tablecloth.column.api.operators/magnitude-squared)
-     (clojure.core/identity))
-    (throw
-     (java.lang.Exception.
-      (clojure.core/str
-       "Exceeded maximum number of columns allowed for operation.")))))))
+   [aggregator__47425__auto__
+    (clojure.core/fn
+     [ds__47426__auto__]
+     (let
+      [ds-with-selected-cols__47427__auto__
+       (tablecloth.api/select-columns
+        ds__47426__auto__
+        columns-selector)
+       cols-count__47428__auto__
+       (clojure.core/->
+        ds-with-selected-cols__47427__auto__
+        tablecloth.api/column-names
+        clojure.core/count)
+       selected-cols__47429__auto__
+       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+      (if
+       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/apply
+        tablecloth.column.api.operators/magnitude-squared
+        (clojure.core/apply
+         clojure.core/vector
+         selected-cols__47429__auto__))
+       (throw
+        (java.lang.Exception.
+         (clojure.core/str
+          "Exceeded maximum number of columns allowed for operation."))))))]
+   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
 
 (defn
  and
  "Applies the operation tablecloth.column.api.operators/and to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__42927__auto__
+   [selected-cols__47430__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
       (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__42928__auto__
-    (clojure.core/concat selected-cols__42927__auto__ [])]
+    args-to-pass__47431__auto__
+    (clojure.core/concat selected-cols__47430__auto__ [])]
    (if
     (clojure.core/>=
      2
-     (clojure.core/count selected-cols__42927__auto__))
+     (clojure.core/count selected-cols__47430__auto__))
     (clojure.core/->>
-     args-to-pass__42928__auto__
+     args-to-pass__47431__auto__
      (clojure.core/apply tablecloth.column.api.operators/and)
      (tablecloth.api/add-or-replace-column ds target-col))
     (throw
diff --git a/test/tablecloth/api/operators_test.clj b/test/tablecloth/api/operators_test.clj
index 23fa381..ffd3bb7 100644
--- a/test/tablecloth/api/operators_test.clj
+++ b/test/tablecloth/api/operators_test.clj
@@ -9,16 +9,13 @@
   (:use [tablecloth.api.operators]))
 
 
-(defn scalar? [item]
-  (= (tech.v3.datatype.argtypes/arg-type item)
-     :scalar))
-
 (facts
  "about ops that return the op result"
 
  (facts
   "about ops that take a maximum of one column and return a scalar"
-  (let [ds (dataset {:a [1 2 3]})]
+  (let [ds (dataset {:label [:a :b :a :b]
+                     :value [1 2 3 4]})]
     (let [ops [kurtosis
                magnitude
                magnitude-squared
@@ -36,19 +33,36 @@
                sum-fast
                variance]]
       (doseq [op ops]
-        (let [result (op ds [:a])]
-          result => scalar?)))))
+        (fact "ops can aggregate a regular dataset"
+              (let [result (op ds [:value])]
+                result => tablecloth.api/dataset?
+                (contains? result "summary") => true))
+        (fact "ops can aggregate a grouped ds"
+              (let [result (-> ds
+                         (tablecloth.api/group-by :label)
+                         (op [:value]))]
+                result => tablecloth.api/dataset?
+                (contains? result "summary") => true))))))
 
  (facts
   "about ops that take a maximum of two columns and return a scalar"
-  (let [ds (dataset {:a [1 2 3]
-                     :b [4 5 6]})]
+  (let [ds (dataset {:label [:a :b :a :b]
+                     :values1 [1 2 3 4]
+                     :values2 [5 6 7 8]})]
     (let [ops [distance
                distance-squared
                dot-product]]
       (doseq [op ops]
-        (let [result (op ds [:a :b])]
-          result => scalar?))))))
+        (fact "ops can aggregate a regular dataset"
+              (let [result (op ds [:values1 :values2])]
+                result => tablecloth.api/dataset?
+                (contains? result "summary")))
+        (fact "ops can aggregate a grouped dataset"
+              (let [result (-> ds
+                               (tablecloth.api/group-by :label)
+                               (op [:values1 :values2]))]
+                result => tablecloth.api/dataset?
+                (contains? result "summary"))))))))
 
 (facts
  "about ops that return a dataset with a new column"
@@ -161,20 +175,3 @@
     (doseq [op ops]
       (let [result (op ds :e [:a :b :c :d])]
         (contains? result :e) => true)))))
-
-
-(comment 
-  ;; some analysis I'll keep around for now b/c it may be useful later
-  (defn longest-vector [lst]
-    (reduce #(max-key count %1 %2) lst))
-
-  (->> (ns-publics 'tablecloth.column.api.operators)
-      (map (fn [[sym var]] [sym (-> var meta :arglists)]))
-      (map (fn [[sym arglist]] [sym (longest-vector arglist)]))
-      (reduce (fn [memo [sym longest-arglist]]
-                (if (contains? memo longest-arglist)
-                  (update memo longest-arglist conj sym)
-                  (assoc memo longest-arglist [sym])))
-              {})
-      (reduce (fn [m [k v]] (update m k sort v)) {})
-      ))

From ea430d4d36559bbb82de5a525b0db84cc1648ed6 Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Sun, 4 Feb 2024 17:36:50 -0500
Subject: [PATCH 32/42] Add `column` API documentation (#120)

* Add a sample notebook file

* Save draft work on column api doc

* Add doc entry for tcc/select boolean select

This appears to be broken now, but ti shouldn't be.

* Export column api operators in column api ns

* Add in some documentation of operations

* Hide namespace expression from generated doc

* Fix circular dependency

* Update generated docs

* Update text in colum operations section

* More updates to the docs

* Remove "Functionality" header in TOC

This way Dataset is an entry, and I can add Column after that.

* Add Column API documentation

* Add an indication of column op signature to docs

* Export lifted column operators in dataset api template

* Add documentation for column operations on datasets

* Some minor changes

* Rename the two headers for Dataset and Column, adding API onto the
end.
* A few small fixes.

* Remove the `Functions` section

This is essentially replaced by the Column API that lifts these
functions into Tablecloth

* Try to remove cyclical dependency

* Revert "Try to remove cyclical dependency"

This reverts commit fcb16c48400fe2bddae4fdf66bfff34bcef1d592.

* Fix circular dependency

* Actually fix cyclical dependency

* Undo added line
---
 docs/.clay.html                               | 1375 +++++
 docs/.clay_files/bootstrap0.css               |    7 +
 docs/.clay_files/html-default1.js             |    2 +
 docs/.clay_files/html-default2.js             |    6 +
 docs/.clay_files/html-default3.js             |    7 +
 docs/column_api.html                          |  716 +++
 docs/column_api.qmd                           |  740 +++
 docs/column_api_files/bootstrap0.css          |    7 +
 docs/column_api_files/bootstrap2.css          |    7 +
 docs/column_api_files/html-default1.js        |    2 +
 docs/column_api_files/html-default2.js        |    6 +
 docs/column_api_files/html-default3.js        |    7 +
 .../libs/bootstrap/bootstrap-icons.css        | 2018 +++++++
 .../libs/bootstrap/bootstrap-icons.woff       |  Bin 0 -> 164168 bytes
 .../libs/bootstrap/bootstrap.min.css          |   10 +
 .../libs/bootstrap/bootstrap.min.js           |    7 +
 .../libs/clipboard/clipboard.min.js           |    7 +
 .../libs/quarto-html/anchor.min.js            |    9 +
 .../libs/quarto-html/popper.min.js            |    6 +
 .../quarto-syntax-highlighting.css            |  189 +
 .../libs/quarto-html/quarto.js                |  902 ++++
 .../libs/quarto-html/tippy.css                |    1 +
 .../libs/quarto-html/tippy.umd.min.js         |    2 +
 docs/column_api_files/md-default0.js          |    2 +
 docs/column_api_files/md-default1.js          |    6 +
 docs/index.html                               | 4641 ++++++++++-------
 .../libs/bootstrap/bootstrap.min.css          |    6 +-
 .../quarto-syntax-highlighting.css            |    5 +
 docs/notebooks/custom.scss                    |   11 +
 notebooks/column_api.clj                      |  168 +
 notebooks/index.clj                           |  264 +-
 src/tablecloth/api.clj                        | 1559 ++++++
 src/tablecloth/api/api_template.clj           |    4 +
 src/tablecloth/api/lift_operators.clj         |   18 +-
 src/tablecloth/api/operators.clj              | 2493 ++++-----
 src/tablecloth/column/api.clj                 |  783 +++
 src/tablecloth/column/api/api_template.clj    |    3 +
 src/tablecloth/column/api/lift_operators.clj  |    2 +-
 38 files changed, 12739 insertions(+), 3259 deletions(-)
 create mode 100644 docs/.clay.html
 create mode 100644 docs/.clay_files/bootstrap0.css
 create mode 100644 docs/.clay_files/html-default1.js
 create mode 100644 docs/.clay_files/html-default2.js
 create mode 100644 docs/.clay_files/html-default3.js
 create mode 100644 docs/column_api.html
 create mode 100644 docs/column_api.qmd
 create mode 100644 docs/column_api_files/bootstrap0.css
 create mode 100644 docs/column_api_files/bootstrap2.css
 create mode 100644 docs/column_api_files/html-default1.js
 create mode 100644 docs/column_api_files/html-default2.js
 create mode 100644 docs/column_api_files/html-default3.js
 create mode 100644 docs/column_api_files/libs/bootstrap/bootstrap-icons.css
 create mode 100644 docs/column_api_files/libs/bootstrap/bootstrap-icons.woff
 create mode 100644 docs/column_api_files/libs/bootstrap/bootstrap.min.css
 create mode 100644 docs/column_api_files/libs/bootstrap/bootstrap.min.js
 create mode 100644 docs/column_api_files/libs/clipboard/clipboard.min.js
 create mode 100644 docs/column_api_files/libs/quarto-html/anchor.min.js
 create mode 100644 docs/column_api_files/libs/quarto-html/popper.min.js
 create mode 100644 docs/column_api_files/libs/quarto-html/quarto-syntax-highlighting.css
 create mode 100644 docs/column_api_files/libs/quarto-html/quarto.js
 create mode 100644 docs/column_api_files/libs/quarto-html/tippy.css
 create mode 100644 docs/column_api_files/libs/quarto-html/tippy.umd.min.js
 create mode 100644 docs/column_api_files/md-default0.js
 create mode 100644 docs/column_api_files/md-default1.js
 create mode 100644 docs/notebooks/custom.scss
 create mode 100644 notebooks/column_api.clj

diff --git a/docs/.clay.html b/docs/.clay.html
new file mode 100644
index 0000000..2486ea1
--- /dev/null
+++ b/docs/.clay.html
@@ -0,0 +1,1375 @@
+
+ 
+    
+    
+Clay
    
\ No newline at end of file
diff --git a/docs/.clay_files/bootstrap0.css b/docs/.clay_files/bootstrap0.css
new file mode 100644
index 0000000..6ee5956
--- /dev/null
+++ b/docs/.clay_files/bootstrap0.css
@@ -0,0 +1,7 @@
+/*!
+ * Bootstrap v4.6.1 (https://getbootstrap.com/)
+ * Copyright 2011-2021 The Bootstrap Authors
+ * Copyright 2011-2021 Twitter, Inc.
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i;this.blur(t,t&&"focus"===t.type),this._scrollIntoView(e),this.active=e.first(),i=this.active.children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",i.attr("id")),i=this.active.parent().closest(".ui-menu-item").children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),t&&"keydown"===t.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),(i=e.children(".ui-menu")).length&&t&&/^mouse/.test(t.type)&&this._startOpening(i),this.activeMenu=e.parent(),this._trigger("focus",t,{item:e})},_scrollIntoView:function(t){var e,i,s;this._hasScroll()&&(i=parseFloat(V.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(V.css(this.activeMenu[0],"paddingTop"))||0,e=t.offset().top-this.activeMenu.offset().top-i-s,i=this.activeMenu.scrollTop(),s=this.activeMenu.height(),t=t.outerHeight(),e<0?this.activeMenu.scrollTop(i+e):s",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,liveRegionTimer:null,_create:function(){var i,s,n,t=this.element[0].nodeName.toLowerCase(),e="textarea"===t,t="input"===t;this.isMultiLine=e||!t&&this._isContentEditable(this.element),this.valueMethod=this.element[e||t?"val":"text"],this.isNewMenu=!0,this._addClass("ui-autocomplete-input"),this.element.attr("autocomplete","off"),this._on(this.element,{keydown:function(t){if(this.element.prop("readOnly"))s=n=i=!0;else{s=n=i=!1;var 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ui-widget-content ui-state-default"),void(a=a.concat(e.get()))):void(V.fn[s]&&(n=o["_"+s+"Options"]?o["_"+s+"Options"]("middle"):{classes:{}},o.element.find(t).each(function(){var t=V(this),e=t[s]("instance"),i=V.widget.extend({},n);"button"===s&&t.parent(".ui-spinner").length||((e=e||t[s]()[s]("instance"))&&(i.classes=o._resolveClassesValues(i.classes,e)),t[s](i),i=t[s]("widget"),V.data(i[0],"ui-controlgroup-data",e||t[s]("instance")),a.push(i[0]))})))}),this.childWidgets=V(V.uniqueSort(a)),this._addClass(this.childWidgets,"ui-controlgroup-item")},_callChildMethod:function(e){this.childWidgets.each(function(){var t=V(this).data("ui-controlgroup-data");t&&t[e]&&t[e]()})},_updateCornerClass:function(t,e){e=this._buildSimpleOptions(e,"label").classes.label;this._removeClass(t,null,"ui-corner-top ui-corner-bottom ui-corner-left ui-corner-right ui-corner-all"),this._addClass(t,null,e)},_buildSimpleOptions:function(t,e){var i="vertical"===this.options.direction,s={classes:{}};return s.classes[e]={middle:"",first:"ui-corner-"+(i?"top":"left"),last:"ui-corner-"+(i?"bottom":"right"),only:"ui-corner-all"}[t],s},_spinnerOptions:function(t){t=this._buildSimpleOptions(t,"ui-spinner");return t.classes["ui-spinner-up"]="",t.classes["ui-spinner-down"]="",t},_buttonOptions:function(t){return this._buildSimpleOptions(t,"ui-button")},_checkboxradioOptions:function(t){return this._buildSimpleOptions(t,"ui-checkboxradio-label")},_selectmenuOptions:function(t){var e="vertical"===this.options.direction;return{width:e&&"auto",classes:{middle:{"ui-selectmenu-button-open":"","ui-selectmenu-button-closed":""},first:{"ui-selectmenu-button-open":"ui-corner-"+(e?"top":"tl"),"ui-selectmenu-button-closed":"ui-corner-"+(e?"top":"left")},last:{"ui-selectmenu-button-open":e?"":"ui-corner-tr","ui-selectmenu-button-closed":"ui-corner-"+(e?"bottom":"right")},only:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"}}[t]}},_resolveClassesValues:function(i,s){var n={};return V.each(i,function(t){var e=s.options.classes[t]||"",e=String.prototype.trim.call(e.replace(tt,""));n[t]=(e+" "+i[t]).replace(/\s+/g," ")}),n},_setOption:function(t,e){"direction"===t&&this._removeClass("ui-controlgroup-"+this.options.direction),this._super(t,e),"disabled"!==t?this.refresh():this._callChildMethod(e?"disable":"enable")},refresh:function(){var n,o=this;this._addClass("ui-controlgroup ui-controlgroup-"+this.options.direction),"horizontal"===this.options.direction&&this._addClass(null,"ui-helper-clearfix"),this._initWidgets(),n=this.childWidgets,(n=this.options.onlyVisible?n.filter(":visible"):n).length&&(V.each(["first","last"],function(t,e){var i,s=n[e]().data("ui-controlgroup-data");s&&o["_"+s.widgetName+"Options"]?((i=o["_"+s.widgetName+"Options"](1===n.length?"only":e)).classes=o._resolveClassesValues(i.classes,s),s.element[s.widgetName](i)):o._updateCornerClass(n[e](),e)}),this._callChildMethod("refresh"))}});V.widget("ui.checkboxradio",[V.ui.formResetMixin,{version:"1.13.1",options:{disabled:null,label:null,icon:!0,classes:{"ui-checkboxradio-label":"ui-corner-all","ui-checkboxradio-icon":"ui-corner-all"}},_getCreateOptions:function(){var t,e=this,i=this._super()||{};return this._readType(),t=this.element.labels(),this.label=V(t[t.length-1]),this.label.length||V.error("No label found for checkboxradio 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t?(this.form.length?V(this.form[0].elements).filter(e):V(e).filter(function(){return 0===V(this)._form().length})).not(this.element):V([])},_toggleClasses:function(){var t=this.element[0].checked;this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),this.options.icon&&"checkbox"===this.type&&this._toggleClass(this.icon,null,"ui-icon-check ui-state-checked",t)._toggleClass(this.icon,null,"ui-icon-blank",!t),"radio"===this.type&&this._getRadioGroup().each(function(){var t=V(this).checkboxradio("instance");t&&t._removeClass(t.label,"ui-checkboxradio-checked","ui-state-active")})},_destroy:function(){this._unbindFormResetHandler(),this.icon&&(this.icon.remove(),this.iconSpace.remove())},_setOption:function(t,e){if("label"!==t||e){if(this._super(t,e),"disabled"===t)return this._toggleClass(this.label,null,"ui-state-disabled",e),void(this.element[0].disabled=e);this.refresh()}},_updateIcon:function(t){var e="ui-icon ui-icon-background 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      "),this._addClass(this.helper,"ui-selectable-helper")},_destroy:function(){this.selectees.removeData("selectable-item"),this._mouseDestroy()},_mouseStart:function(i){var s=this,t=this.options;this.opos=[i.pageX,i.pageY],this.elementPos=V(this.element[0]).offset(),this.options.disabled||(this.selectees=V(t.filter,this.element[0]),this._trigger("start",i),V(t.appendTo).append(this.helper),this.helper.css({left:i.pageX,top:i.pageY,width:0,height:0}),t.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var t=V.data(this,"selectable-item");t.startselected=!0,i.metaKey||i.ctrlKey||(s._removeClass(t.$element,"ui-selected"),t.selected=!1,s._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,s._trigger("unselecting",i,{unselecting:t.element}))}),V(i.target).parents().addBack().each(function(){var t,e=V.data(this,"selectable-item");if(e)return t=!i.metaKey&&!i.ctrlKey||!e.$element.hasClass("ui-selected"),s._removeClass(e.$element,t?"ui-unselecting":"ui-selected")._addClass(e.$element,t?"ui-selecting":"ui-unselecting"),e.unselecting=!t,e.selecting=t,(e.selected=t)?s._trigger("selecting",i,{selecting:e.element}):s._trigger("unselecting",i,{unselecting:e.element}),!1}))},_mouseDrag:function(s){if(this.dragged=!0,!this.options.disabled){var t,n=this,o=this.options,a=this.opos[0],r=this.opos[1],l=s.pageX,h=s.pageY;return ll||i.righth||i.bottoma&&i.rightr&&i.bottom",options:{appendTo:null,classes:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"},disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:!1,change:null,close:null,focus:null,open:null,select:null},_create:function(){var t=this.element.uniqueId().attr("id");this.ids={element:t,button:t+"-button",menu:t+"-menu"},this._drawButton(),this._drawMenu(),this._bindFormResetHandler(),this._rendered=!1,this.menuItems=V()},_drawButton:function(){var t,e=this,i=this._parseOption(this.element.find("option:selected"),this.element[0].selectedIndex);this.labels=this.element.labels().attr("for",this.ids.button),this._on(this.labels,{click:function(t){this.button.trigger("focus"),t.preventDefault()}}),this.element.hide(),this.button=V("",{tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true",title:this.element.attr("title")}).insertAfter(this.element),this._addClass(this.button,"ui-selectmenu-button ui-selectmenu-button-closed","ui-button ui-widget"),t=V("").appendTo(this.button),this._addClass(t,"ui-selectmenu-icon","ui-icon "+this.options.icons.button),this.buttonItem=this._renderButtonItem(i).appendTo(this.button),!1!==this.options.width&&this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){e._rendered||e._refreshMenu()})},_drawMenu:function(){var i=this;this.menu=V("
        ",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=V("
        ").append(this.menu),this._addClass(this.menuWrap,"ui-selectmenu-menu","ui-front"),this.menuWrap.appendTo(this._appendTo()),this.menuInstance=this.menu.menu({classes:{"ui-menu":"ui-corner-bottom"},role:"listbox",select:function(t,e){t.preventDefault(),i._setSelection(),i._select(e.item.data("ui-selectmenu-item"),t)},focus:function(t,e){e=e.item.data("ui-selectmenu-item");null!=i.focusIndex&&e.index!==i.focusIndex&&(i._trigger("focus",t,{item:e}),i.isOpen||i._select(e,t)),i.focusIndex=e.index,i.button.attr("aria-activedescendant",i.menuItems.eq(e.index).attr("id"))}}).menu("instance"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(this._getSelectedItem().data("ui-selectmenu-item")||{})),null===this.options.width&&this._resizeButton()},_refreshMenu:function(){var t=this.element.find("option");this.menu.empty(),this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup").find(".ui-menu-item-wrapper"),this._rendered=!0,t.length&&(t=this._getSelectedItem(),this.menuInstance.focus(null,t),this._setAria(t.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(t){this.options.disabled||(this._rendered?(this._removeClass(this.menu.find(".ui-state-active"),null,"ui-state-active"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.menuItems.length&&(this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",t)))},_position:function(){this.menuWrap.position(V.extend({of:this.button},this.options.position))},close:function(t){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",t))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderButtonItem:function(t){var e=V("");return this._setText(e,t.label),this._addClass(e,"ui-selectmenu-text"),e},_renderMenu:function(s,t){var n=this,o="";V.each(t,function(t,e){var i;e.optgroup!==o&&(i=V("
      • ",{text:e.optgroup}),n._addClass(i,"ui-selectmenu-optgroup","ui-menu-divider"+(e.element.parent("optgroup").prop("disabled")?" ui-state-disabled":"")),i.appendTo(s),o=e.optgroup),n._renderItemData(s,e)})},_renderItemData:function(t,e){return this._renderItem(t,e).data("ui-selectmenu-item",e)},_renderItem:function(t,e){var i=V("
      • "),s=V("
        ",{title:e.element.attr("title")});return e.disabled&&this._addClass(i,null,"ui-state-disabled"),this._setText(s,e.label),i.append(s).appendTo(t)},_setText:function(t,e){e?t.text(e):t.html(" ")},_move:function(t,e){var i,s=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex).parent("li"):(i=this.menuItems.eq(this.element[0].selectedIndex).parent("li"),s+=":not(.ui-state-disabled)"),(s="first"===t||"last"===t?i["first"===t?"prevAll":"nextAll"](s).eq(-1):i[t+"All"](s).eq(0)).length&&this.menuInstance.focus(e,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex).parent("li")},_toggle:function(t){this[this.isOpen?"close":"open"](t)},_setSelection:function(){var t;this.range&&(window.getSelection?((t=window.getSelection()).removeAllRanges(),t.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(V(t.target).closest(".ui-selectmenu-menu, #"+V.escapeSelector(this.ids.button)).length||this.close(t))}},_buttonEvents:{mousedown:function(){var t;window.getSelection?(t=window.getSelection()).rangeCount&&(this.range=t.getRangeAt(0)):this.range=document.selection.createRange()},click:function(t){this._setSelection(),this._toggle(t)},keydown:function(t){var e=!0;switch(t.keyCode){case V.ui.keyCode.TAB:case V.ui.keyCode.ESCAPE:this.close(t),e=!1;break;case V.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case V.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case V.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case V.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case V.ui.keyCode.LEFT:this._move("prev",t);break;case V.ui.keyCode.RIGHT:this._move("next",t);break;case V.ui.keyCode.HOME:case V.ui.keyCode.PAGE_UP:this._move("first",t);break;case V.ui.keyCode.END:case V.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),e=!1}e&&t.preventDefault()}},_selectFocusedItem:function(t){var e=this.menuItems.eq(this.focusIndex).parent("li");e.hasClass("ui-state-disabled")||this._select(e.data("ui-selectmenu-item"),t)},_select:function(t,e){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=t.index,this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(t)),this._setAria(t),this._trigger("select",e,{item:t}),t.index!==i&&this._trigger("change",e,{item:t}),this.close(e)},_setAria:function(t){t=this.menuItems.eq(t.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(t,e){var i;"icons"===t&&(i=this.button.find("span.ui-icon"),this._removeClass(i,null,this.options.icons.button)._addClass(i,null,e.button)),this._super(t,e),"appendTo"===t&&this.menuWrap.appendTo(this._appendTo()),"width"===t&&this._resizeButton()},_setOptionDisabled:function(t){this._super(t),this.menuInstance.option("disabled",t),this.button.attr("aria-disabled",t),this._toggleClass(this.button,null,"ui-state-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_toggleAttr:function(){this.button.attr("aria-expanded",this.isOpen),this._removeClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"closed":"open"))._addClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"open":"closed"))._toggleClass(this.menuWrap,"ui-selectmenu-open",null,this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var t=this.options.width;!1!==t?(null===t&&(t=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(t)):this.button.css("width","")},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){var t=this._super();return t.disabled=this.element.prop("disabled"),t},_parseOptions:function(t){var i=this,s=[];t.each(function(t,e){e.hidden||s.push(i._parseOption(V(e),t))}),this.items=s},_parseOption:function(t,e){var i=t.parent("optgroup");return{element:t,index:e,value:t.val(),label:t.text(),optgroup:i.attr("label")||"",disabled:i.prop("disabled")||t.prop("disabled")}},_destroy:function(){this._unbindFormResetHandler(),this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.labels.attr("for",this.ids.element)}}]),V.widget("ui.slider",V.ui.mouse,{version:"1.13.1",widgetEventPrefix:"slide",options:{animate:!1,classes:{"ui-slider":"ui-corner-all","ui-slider-handle":"ui-corner-all","ui-slider-range":"ui-corner-all ui-widget-header"},distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this._addClass("ui-slider ui-slider-"+this.orientation,"ui-widget ui-widget-content"),this._refresh(),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,e=this.options,i=this.element.find(".ui-slider-handle"),s=[],n=e.values&&e.values.length||1;for(i.length>n&&(i.slice(n).remove(),i=i.slice(0,n)),t=i.length;t");this.handles=i.add(V(s.join("")).appendTo(this.element)),this._addClass(this.handles,"ui-slider-handle","ui-state-default"),this.handle=this.handles.eq(0),this.handles.each(function(t){V(this).data("ui-slider-handle-index",t).attr("tabIndex",0)})},_createRange:function(){var t=this.options;t.range?(!0===t.range&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:Array.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?(this._removeClass(this.range,"ui-slider-range-min ui-slider-range-max"),this.range.css({left:"",bottom:""})):(this.range=V("
        ").appendTo(this.element),this._addClass(this.range,"ui-slider-range")),"min"!==t.range&&"max"!==t.range||this._addClass(this.range,"ui-slider-range-"+t.range)):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,o,e,a,r=this,l=this.options;return!l.disabled&&(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),a={x:t.pageX,y:t.pageY},i=this._normValueFromMouse(a),s=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var e=Math.abs(i-r.values(t));(e=this._valueMax())return this._valueMax();var e=0=e&&(t+=0this.options.max&&(t-=i),this.max=parseFloat(t.toFixed(this._precision()))},_precision:function(){var t=this._precisionOf(this.options.step);return t=null!==this.options.min?Math.max(t,this._precisionOf(this.options.min)):t},_precisionOf:function(t){var e=t.toString(),t=e.indexOf(".");return-1===t?0:e.length-t-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshRange:function(t){"vertical"===t&&this.range.css({width:"",left:""}),"horizontal"===t&&this.range.css({height:"",bottom:""})},_refreshValue:function(){var e,i,t,s,n,o=this.options.range,a=this.options,r=this,l=!this._animateOff&&a.animate,h={};this._hasMultipleValues()?this.handles.each(function(t){i=(r.values(t)-r._valueMin())/(r._valueMax()-r._valueMin())*100,h["horizontal"===r.orientation?"left":"bottom"]=i+"%",V(this).stop(1,1)[l?"animate":"css"](h,a.animate),!0===r.options.range&&("horizontal"===r.orientation?(0===t&&r.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({width:i-e+"%"},{queue:!1,duration:a.animate})):(0===t&&r.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({height:i-e+"%"},{queue:!1,duration:a.animate}))),e=i}):(t=this.value(),s=this._valueMin(),n=this._valueMax(),i=n!==s?(t-s)/(n-s)*100:0,h["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](h,a.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},a.animate),"max"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:100-i+"%"},a.animate),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},a.animate),"max"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:100-i+"%"},a.animate))},_handleEvents:{keydown:function(t){var e,i,s,n=V(t.target).data("ui-slider-handle-index");switch(t.keyCode){case V.ui.keyCode.HOME:case V.ui.keyCode.END:case V.ui.keyCode.PAGE_UP:case V.ui.keyCode.PAGE_DOWN:case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,this._addClass(V(t.target),null,"ui-state-active"),!1===this._start(t,n)))return}switch(s=this.options.step,e=i=this._hasMultipleValues()?this.values(n):this.value(),t.keyCode){case V.ui.keyCode.HOME:i=this._valueMin();break;case V.ui.keyCode.END:i=this._valueMax();break;case V.ui.keyCode.PAGE_UP:i=this._trimAlignValue(e+(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.PAGE_DOWN:i=this._trimAlignValue(e-(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:if(e===this._valueMax())return;i=this._trimAlignValue(e+s);break;case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(e===this._valueMin())return;i=this._trimAlignValue(e-s)}this._slide(t,n,i)},keyup:function(t){var e=V(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,e),this._change(t,e),this._removeClass(V(t.target),null,"ui-state-active"))}}}),V.widget("ui.sortable",V.ui.mouse,{version:"1.13.1",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(t,e,i){return e<=t&&t*{ cursor: "+o.cursor+" !important; }").appendTo(n)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!i)for(s=this.containers.length-1;0<=s;s--)this.containers[s]._trigger("activate",t,this._uiHash(this));return V.ui.ddmanager&&(V.ui.ddmanager.current=this),V.ui.ddmanager&&!o.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this._addClass(this.helper,"ui-sortable-helper"),this.helper.parent().is(this.appendTo)||(this.helper.detach().appendTo(this.appendTo),this.offset.parent=this._getParentOffset()),this.position=this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,this.lastPositionAbs=this.positionAbs=this._convertPositionTo("absolute"),this._mouseDrag(t),!0},_scroll:function(t){var e=this.options,i=!1;return this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageYt[this.floating?"width":"height"]?h&&c:o",i.document[0]);return i._addClass(t,"ui-sortable-placeholder",s||i.currentItem[0].className)._removeClass(t,"ui-sortable-helper"),"tbody"===n?i._createTrPlaceholder(i.currentItem.find("tr").eq(0),V("",i.document[0]).appendTo(t)):"tr"===n?i._createTrPlaceholder(i.currentItem,t):"img"===n&&t.attr("src",i.currentItem.attr("src")),s||t.css("visibility","hidden"),t},update:function(t,e){s&&!o.forcePlaceholderSize||(e.height()&&(!o.forcePlaceholderSize||"tbody"!==n&&"tr"!==n)||e.height(i.currentItem.innerHeight()-parseInt(i.currentItem.css("paddingTop")||0,10)-parseInt(i.currentItem.css("paddingBottom")||0,10)),e.width()||e.width(i.currentItem.innerWidth()-parseInt(i.currentItem.css("paddingLeft")||0,10)-parseInt(i.currentItem.css("paddingRight")||0,10)))}}),i.placeholder=V(o.placeholder.element.call(i.element,i.currentItem)),i.currentItem.after(i.placeholder),o.placeholder.update(i,i.placeholder)},_createTrPlaceholder:function(t,e){var 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i,e=this.element.parent();"fill"===t?(i=e.height(),i-=this.element.outerHeight()-this.element.height(),this.element.siblings(":visible").each(function(){var t=V(this),e=t.css("position");"absolute"!==e&&"fixed"!==e&&(i-=t.outerHeight(!0))}),this.element.children().not(this.panels).each(function(){i-=V(this).outerHeight(!0)}),this.panels.each(function(){V(this).height(Math.max(0,i-V(this).innerHeight()+V(this).height()))}).css("overflow","auto")):"auto"===t&&(i=0,this.panels.each(function(){i=Math.max(i,V(this).height("").height())}).height(i))},_eventHandler:function(t){var 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diff --git a/docs/.clay_files/html-default3.js b/docs/.clay_files/html-default3.js
new file mode 100644
index 0000000..cc0a255
--- /dev/null
+++ b/docs/.clay_files/html-default3.js
@@ -0,0 +1,7 @@
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0===i&&(i={x:0,y:0}),{top:t.top-e.height-i.y,right:t.right-e.width+i.x,bottom:t.bottom-e.height+i.y,left:t.left-e.width-i.x}}function Se(t){return[mt,_t,gt,bt].some((function(e){return t[e]>=0}))}const Ne={name:"hide",enabled:!0,phase:"main",requiresIfExists:["preventOverflow"],fn:function(t){var e=t.state,i=t.name,n=e.rects.reference,s=e.rects.popper,o=e.modifiersData.preventOverflow,r=ke(e,{elementContext:"reference"}),a=ke(e,{altBoundary:!0}),l=De(r,n),c=De(a,s,o),h=Se(l),d=Se(c);e.modifiersData[i]={referenceClippingOffsets:l,popperEscapeOffsets:c,isReferenceHidden:h,hasPopperEscaped:d},e.attributes.popper=Object.assign({},e.attributes.popper,{"data-popper-reference-hidden":h,"data-popper-escaped":d})}},Ie={name:"offset",enabled:!0,phase:"main",requires:["popperOffsets"],fn:function(t){var e=t.state,i=t.options,n=t.name,s=i.offset,o=void 0===s?[0,0]:s,r=Lt.reduce((function(t,i){return t[i]=function(t,e,i){var n=Ut(t),s=[bt,mt].indexOf(n)>=0?-1:1,o="function"==typeof 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0===p?0:p,g=ke(e,{boundary:l,rootBoundary:c,padding:d,altBoundary:h}),_=Ut(e.placement),b=ce(e.placement),v=!b,y=ee(_),w="x"===y?"y":"x",E=e.modifiersData.popperOffsets,A=e.rects.reference,T=e.rects.popper,O="function"==typeof m?m(Object.assign({},e.rects,{placement:e.placement})):m,C={x:0,y:0};if(E){if(o||a){var k="y"===y?mt:bt,L="y"===y?gt:_t,x="y"===y?"height":"width",D=E[y],S=E[y]+g[k],N=E[y]-g[L],I=f?-T[x]/2:0,P=b===wt?A[x]:T[x],j=b===wt?-T[x]:-A[x],M=e.elements.arrow,H=f&&M?Kt(M):{width:0,height:0},B=e.modifiersData["arrow#persistent"]?e.modifiersData["arrow#persistent"].padding:{top:0,right:0,bottom:0,left:0},R=B[k],W=B[L],$=oe(0,A[x],H[x]),z=v?A[x]/2-I-$-R-O:P-$-R-O,q=v?-A[x]/2+I+$+W+O:j+$+W+O,F=e.elements.arrow&&te(e.elements.arrow),U=F?"y"===y?F.clientTop||0:F.clientLeft||0:0,V=e.modifiersData.offset?e.modifiersData.offset[e.placement][y]:0,K=E[y]+z-V-U,X=E[y]+q-V;if(o){var Y=oe(f?ne(S,K):S,D,f?ie(N,X):N);E[y]=Y,C[y]=Y-D}if(a){var Q="x"===y?mt:bt,G="x"===y?gt:_t,Z=E[w],J=Z+g[Q],tt=Z-g[G],et=oe(f?ne(J,K):J,Z,f?ie(tt,X):tt);E[w]=et,C[w]=et-Z}}e.modifiersData[n]=C}},requiresIfExists:["offset"]};function Me(t,e,i){void 0===i&&(i=!1);var n=zt(e);zt(e)&&function(t){var e=t.getBoundingClientRect();e.width,t.offsetWidth,e.height,t.offsetHeight}(e);var s,o,r=Gt(e),a=Vt(t),l={scrollLeft:0,scrollTop:0},c={x:0,y:0};return(n||!n&&!i)&&(("body"!==Rt(e)||we(r))&&(l=(s=e)!==Wt(s)&&zt(s)?{scrollLeft:(o=s).scrollLeft,scrollTop:o.scrollTop}:ve(s)),zt(e)?((c=Vt(e)).x+=e.clientLeft,c.y+=e.clientTop):r&&(c.x=ye(r))),{x:a.left+l.scrollLeft-c.x,y:a.top+l.scrollTop-c.y,width:a.width,height:a.height}}function He(t){var e=new Map,i=new Set,n=[];function s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var Be={placement:"bottom",modifiers:[],strategy:"absolute"};function Re(){for(var t=arguments.length,e=new Array(t),i=0;ij.on(t,"mouseover",d))),this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Je),this._element.classList.add(Je),j.trigger(this._element,"shown.bs.dropdown",t)}hide(){if(c(this._element)||!this._isShown(this._menu))return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){j.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented||("ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._popper&&this._popper.destroy(),this._menu.classList.remove(Je),this._element.classList.remove(Je),this._element.setAttribute("aria-expanded","false"),U.removeDataAttribute(this._menu,"popper"),j.trigger(this._element,"hidden.bs.dropdown",t))}_getConfig(t){if(t={...this.constructor.Default,...U.getDataAttributes(this._element),...t},a(Ue,t,this.constructor.DefaultType),"object"==typeof t.reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ue.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(t){if(void 0===Fe)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let e=this._element;"parent"===this._config.reference?e=t:o(this._config.reference)?e=r(this._config.reference):"object"==typeof this._config.reference&&(e=this._config.reference);const i=this._getPopperConfig(),n=i.modifiers.find((t=>"applyStyles"===t.name&&!1===t.enabled));this._popper=qe(e,this._menu,i),n&&U.setDataAttribute(this._menu,"popper","static")}_isShown(t=this._element){return t.classList.contains(Je)}_getMenuElement(){return V.next(this._element,ei)[0]}_getPlacement(){const t=this._element.parentNode;if(t.classList.contains("dropend"))return ri;if(t.classList.contains("dropstart"))return ai;const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ni:ii:e?oi:si}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return"static"===this._config.display&&(t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=V.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter(l);i.length&&v(i,e,t===Ye,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(t&&(2===t.button||"keyup"===t.type&&"Tab"!==t.key))return;const e=V.find(ti);for(let i=0,n=e.length;ie+t)),this._setElementAttributes(di,"paddingRight",(e=>e+t)),this._setElementAttributes(ui,"marginRight",(e=>e-t))}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t)[e];t.style[e]=`${i(Number.parseFloat(s))}px`}))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,"paddingRight"),this._resetElementAttributes(di,"paddingRight"),this._resetElementAttributes(ui,"marginRight")}_saveInitialAttribute(t,e){const i=t.style[e];i&&U.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=U.getDataAttribute(t,e);void 0===i?t.style.removeProperty(e):(U.removeDataAttribute(t,e),t.style[e]=i)}))}_applyManipulationCallback(t,e){o(t)?e(t):V.find(t,this._element).forEach(e)}isOverflowing(){return this.getWidth()>0}}const pi={className:"modal-backdrop",isVisible:!0,isAnimated:!1,rootElement:"body",clickCallback:null},mi={className:"string",isVisible:"boolean",isAnimated:"boolean",rootElement:"(element|string)",clickCallback:"(function|null)"},gi="show",_i="mousedown.bs.backdrop";class bi{constructor(t){this._config=this._getConfig(t),this._isAppended=!1,this._element=null}show(t){this._config.isVisible?(this._append(),this._config.isAnimated&&u(this._getElement()),this._getElement().classList.add(gi),this._emulateAnimation((()=>{_(t)}))):_(t)}hide(t){this._config.isVisible?(this._getElement().classList.remove(gi),this._emulateAnimation((()=>{this.dispose(),_(t)}))):_(t)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_getConfig(t){return(t={...pi,..."object"==typeof t?t:{}}).rootElement=r(t.rootElement),a("backdrop",t,mi),t}_append(){this._isAppended||(this._config.rootElement.append(this._getElement()),j.on(this._getElement(),_i,(()=>{_(this._config.clickCallback)})),this._isAppended=!0)}dispose(){this._isAppended&&(j.off(this._element,_i),this._element.remove(),this._isAppended=!1)}_emulateAnimation(t){b(t,this._getElement(),this._config.isAnimated)}}const vi={trapElement:null,autofocus:!0},yi={trapElement:"element",autofocus:"boolean"},wi=".bs.focustrap",Ei="backward";class Ai{constructor(t){this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}activate(){const{trapElement:t,autofocus:e}=this._config;this._isActive||(e&&t.focus(),j.off(document,wi),j.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),j.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,j.off(document,wi))}_handleFocusin(t){const{target:e}=t,{trapElement:i}=this._config;if(e===document||e===i||i.contains(e))return;const n=V.focusableChildren(i);0===n.length?i.focus():this._lastTabNavDirection===Ei?n[n.length-1].focus():n[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Ei:"forward")}_getConfig(t){return t={...vi,..."object"==typeof t?t:{}},a("focustrap",t,yi),t}}const Ti="modal",Oi="Escape",Ci={backdrop:!0,keyboard:!0,focus:!0},ki={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean"},Li="hidden.bs.modal",xi="show.bs.modal",Di="resize.bs.modal",Si="click.dismiss.bs.modal",Ni="keydown.dismiss.bs.modal",Ii="mousedown.dismiss.bs.modal",Pi="modal-open",ji="show",Mi="modal-static";class Hi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._dialog=V.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._ignoreBackdropClick=!1,this._isTransitioning=!1,this._scrollBar=new fi}static get Default(){return Ci}static get NAME(){return Ti}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||j.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isAnimated()&&(this._isTransitioning=!0),this._scrollBar.hide(),document.body.classList.add(Pi),this._adjustDialog(),this._setEscapeEvent(),this._setResizeEvent(),j.on(this._dialog,Ii,(()=>{j.one(this._element,"mouseup.dismiss.bs.modal",(t=>{t.target===this._element&&(this._ignoreBackdropClick=!0)}))})),this._showBackdrop((()=>this._showElement(t))))}hide(){if(!this._isShown||this._isTransitioning)return;if(j.trigger(this._element,"hide.bs.modal").defaultPrevented)return;this._isShown=!1;const t=this._isAnimated();t&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),this._focustrap.deactivate(),this._element.classList.remove(ji),j.off(this._element,Si),j.off(this._dialog,Ii),this._queueCallback((()=>this._hideModal()),this._element,t)}dispose(){[window,this._dialog].forEach((t=>j.off(t,".bs.modal"))),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new bi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_getConfig(t){return t={...Ci,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Ti,t,ki),t}_showElement(t){const e=this._isAnimated(),i=V.findOne(".modal-body",this._dialog);this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0,i&&(i.scrollTop=0),e&&u(this._element),this._element.classList.add(ji),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,j.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,e)}_setEscapeEvent(){this._isShown?j.on(this._element,Ni,(t=>{this._config.keyboard&&t.key===Oi?(t.preventDefault(),this.hide()):this._config.keyboard||t.key!==Oi||this._triggerBackdropTransition()})):j.off(this._element,Ni)}_setResizeEvent(){this._isShown?j.on(window,Di,(()=>this._adjustDialog())):j.off(window,Di)}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Pi),this._resetAdjustments(),this._scrollBar.reset(),j.trigger(this._element,Li)}))}_showBackdrop(t){j.on(this._element,Si,(t=>{this._ignoreBackdropClick?this._ignoreBackdropClick=!1:t.target===t.currentTarget&&(!0===this._config.backdrop?this.hide():"static"===this._config.backdrop&&this._triggerBackdropTransition())})),this._backdrop.show(t)}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(j.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const{classList:t,scrollHeight:e,style:i}=this._element,n=e>document.documentElement.clientHeight;!n&&"hidden"===i.overflowY||t.contains(Mi)||(n||(i.overflowY="hidden"),t.add(Mi),this._queueCallback((()=>{t.remove(Mi),n||this._queueCallback((()=>{i.overflowY=""}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;(!i&&t&&!m()||i&&!t&&m())&&(this._element.style.paddingLeft=`${e}px`),(i&&!t&&!m()||!i&&t&&m())&&(this._element.style.paddingRight=`${e}px`)}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}j.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=n(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),j.one(e,xi,(t=>{t.defaultPrevented||j.one(e,Li,(()=>{l(this)&&this.focus()}))}));const i=V.findOne(".modal.show");i&&Hi.getInstance(i).hide(),Hi.getOrCreateInstance(e).toggle(this)})),R(Hi),g(Hi);const Bi="offcanvas",Ri={backdrop:!0,keyboard:!0,scroll:!1},Wi={backdrop:"boolean",keyboard:"boolean",scroll:"boolean"},$i="show",zi=".offcanvas.show",qi="hidden.bs.offcanvas";class Fi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get NAME(){return Bi}static get Default(){return Ri}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||j.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._element.style.visibility="visible",this._backdrop.show(),this._config.scroll||(new fi).hide(),this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($i),this._queueCallback((()=>{this._config.scroll||this._focustrap.activate(),j.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(j.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.remove($i),this._backdrop.hide(),this._queueCallback((()=>{this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._element.style.visibility="hidden",this._config.scroll||(new fi).reset(),j.trigger(this._element,qi)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_getConfig(t){return t={...Ri,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Bi,t,Wi),t}_initializeBackDrop(){return new bi({className:"offcanvas-backdrop",isVisible:this._config.backdrop,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:()=>this.hide()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_addEventListeners(){j.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{this._config.keyboard&&"Escape"===t.key&&this.hide()}))}static jQueryInterface(t){return this.each((function(){const e=Fi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}j.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=n(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),c(this))return;j.one(e,qi,(()=>{l(this)&&this.focus()}));const i=V.findOne(zi);i&&i!==e&&Fi.getInstance(i).hide(),Fi.getOrCreateInstance(e).toggle(this)})),j.on(window,"load.bs.offcanvas.data-api",(()=>V.find(zi).forEach((t=>Fi.getOrCreateInstance(t).show())))),R(Fi),g(Fi);const Ui=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Vi=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Ki=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Xi=(t,e)=>{const i=t.nodeName.toLowerCase();if(e.includes(i))return!Ui.has(i)||Boolean(Vi.test(t.nodeValue)||Ki.test(t.nodeValue));const n=e.filter((t=>t instanceof RegExp));for(let t=0,e=n.length;t{Xi(t,r)||i.removeAttribute(t.nodeName)}))}return n.body.innerHTML}const Qi="tooltip",Gi=new Set(["sanitize","allowList","sanitizeFn"]),Zi={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"(array|string|function)",container:"(string|element|boolean)",fallbackPlacements:"array",boundary:"(string|element)",customClass:"(string|function)",sanitize:"boolean",sanitizeFn:"(null|function)",allowList:"object",popperConfig:"(null|object|function)"},Ji={AUTO:"auto",TOP:"top",RIGHT:m()?"left":"right",BOTTOM:"bottom",LEFT:m()?"right":"left"},tn={animation:!0,template:'',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:[0,0],container:!1,fallbackPlacements:["top","right","bottom","left"],boundary:"clippingParents",customClass:"",sanitize:!0,sanitizeFn:null,allowList:{"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},popperConfig:null},en={HIDE:"hide.bs.tooltip",HIDDEN:"hidden.bs.tooltip",SHOW:"show.bs.tooltip",SHOWN:"shown.bs.tooltip",INSERTED:"inserted.bs.tooltip",CLICK:"click.bs.tooltip",FOCUSIN:"focusin.bs.tooltip",FOCUSOUT:"focusout.bs.tooltip",MOUSEENTER:"mouseenter.bs.tooltip",MOUSELEAVE:"mouseleave.bs.tooltip"},nn="fade",sn="show",on="show",rn="out",an=".tooltip-inner",ln=".modal",cn="hide.bs.modal",hn="hover",dn="focus";class un extends B{constructor(t,e){if(void 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this._leave(null,this);this._enter(null,this)}}dispose(){clearTimeout(this._timeout),j.off(this._element.closest(ln),cn,this._hideModalHandler),this.tip&&this.tip.remove(),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this.isWithContent()||!this._isEnabled)return;const t=j.trigger(this._element,this.constructor.Event.SHOW),e=h(this._element),i=null===e?this._element.ownerDocument.documentElement.contains(this._element):e.contains(this._element);if(t.defaultPrevented||!i)return;"tooltip"===this.constructor.NAME&&this.tip&&this.getTitle()!==this.tip.querySelector(an).innerHTML&&(this._disposePopper(),this.tip.remove(),this.tip=null);const n=this.getTipElement(),s=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME);n.setAttribute("id",s),this._element.setAttribute("aria-describedby",s),this._config.animation&&n.classList.add(nn);const o="function"==typeof this._config.placement?this._config.placement.call(this,n,this._element):this._config.placement,r=this._getAttachment(o);this._addAttachmentClass(r);const{container:a}=this._config;H.set(n,this.constructor.DATA_KEY,this),this._element.ownerDocument.documentElement.contains(this.tip)||(a.append(n),j.trigger(this._element,this.constructor.Event.INSERTED)),this._popper?this._popper.update():this._popper=qe(this._element,n,this._getPopperConfig(r)),n.classList.add(sn);const l=this._resolvePossibleFunction(this._config.customClass);l&&n.classList.add(...l.split(" ")),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>{j.on(t,"mouseover",d)}));const c=this.tip.classList.contains(nn);this._queueCallback((()=>{const t=this._hoverState;this._hoverState=null,j.trigger(this._element,this.constructor.Event.SHOWN),t===rn&&this._leave(null,this)}),this.tip,c)}hide(){if(!this._popper)return;const t=this.getTipElement();if(j.trigger(this._element,this.constructor.Event.HIDE).defaultPrevented)return;t.classList.remove(sn),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1;const e=this.tip.classList.contains(nn);this._queueCallback((()=>{this._isWithActiveTrigger()||(this._hoverState!==on&&t.remove(),this._cleanTipClass(),this._element.removeAttribute("aria-describedby"),j.trigger(this._element,this.constructor.Event.HIDDEN),this._disposePopper())}),this.tip,e),this._hoverState=""}update(){null!==this._popper&&this._popper.update()}isWithContent(){return Boolean(this.getTitle())}getTipElement(){if(this.tip)return this.tip;const t=document.createElement("div");t.innerHTML=this._config.template;const e=t.children[0];return this.setContent(e),e.classList.remove(nn,sn),this.tip=e,this.tip}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),an)}_sanitizeAndSetContent(t,e,i){const n=V.findOne(i,t);e||!n?this.setElementContent(n,e):n.remove()}setElementContent(t,e){if(null!==t)return o(e)?(e=r(e),void(this._config.html?e.parentNode!==t&&(t.innerHTML="",t.append(e)):t.textContent=e.textContent)):void(this._config.html?(this._config.sanitize&&(e=Yi(e,this._config.allowList,this._config.sanitizeFn)),t.innerHTML=e):t.textContent=e)}getTitle(){const t=this._element.getAttribute("data-bs-original-title")||this._config.title;return this._resolvePossibleFunction(t)}updateAttachment(t){return"right"===t?"end":"left"===t?"start":t}_initializeOnDelegatedTarget(t,e){return e||this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"onChange",enabled:!0,phase:"afterWrite",fn:t=>this._handlePopperPlacementChange(t)}],onFirstUpdate:t=>{t.options.placement!==t.placement&&this._handlePopperPlacementChange(t)}};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_addAttachmentClass(t){this.getTipElement().classList.add(`${this._getBasicClassPrefix()}-${this.updateAttachment(t)}`)}_getAttachment(t){return Ji[t.toUpperCase()]}_setListeners(){this._config.trigger.split(" 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t in this._activeTrigger)if(this._activeTrigger[t])return!0;return!1}_getConfig(t){const e=U.getDataAttributes(this._element);return Object.keys(e).forEach((t=>{Gi.has(t)&&delete e[t]})),(t={...this.constructor.Default,...e,..."object"==typeof t&&t?t:{}}).container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),a(Qi,t,this.constructor.DefaultType),t.sanitize&&(t.template=Yi(t.template,t.allowList,t.sanitizeFn)),t}_getDelegateConfig(){const t={};for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t}_cleanTipClass(){const t=this.getTipElement(),e=new RegExp(`(^|\\s)${this._getBasicClassPrefix()}\\S+`,"g"),i=t.getAttribute("class").match(e);null!==i&&i.length>0&&i.map((t=>t.trim())).forEach((e=>t.classList.remove(e)))}_getBasicClassPrefix(){return"bs-tooltip"}_handlePopperPlacementChange(t){const{state:e}=t;e&&(this.tip=e.elements.popper,this._cleanTipClass(),this._addAttachmentClass(this._getAttachment(e.placement)))}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null)}static jQueryInterface(t){return this.each((function(){const e=un.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(un);const fn={...un.Default,placement:"right",offset:[0,8],trigger:"click",content:"",template:''},pn={...un.DefaultType,content:"(string|element|function)"},mn={HIDE:"hide.bs.popover",HIDDEN:"hidden.bs.popover",SHOW:"show.bs.popover",SHOWN:"shown.bs.popover",INSERTED:"inserted.bs.popover",CLICK:"click.bs.popover",FOCUSIN:"focusin.bs.popover",FOCUSOUT:"focusout.bs.popover",MOUSEENTER:"mouseenter.bs.popover",MOUSELEAVE:"mouseleave.bs.popover"};class gn extends un{static get Default(){return fn}static get NAME(){return"popover"}static get Event(){return mn}static get DefaultType(){return pn}isWithContent(){return this.getTitle()||this._getContent()}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),".popover-header"),this._sanitizeAndSetContent(t,this._getContent(),".popover-body")}_getContent(){return this._resolvePossibleFunction(this._config.content)}_getBasicClassPrefix(){return"bs-popover"}static jQueryInterface(t){return this.each((function(){const 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t=this._scrollElement===this._scrollElement.window?"offset":En,e="auto"===this._config.method?t:this._config.method,n=e===En?this._getScrollTop():0;this._offsets=[],this._targets=[],this._scrollHeight=this._getScrollHeight(),V.find(wn,this._config.target).map((t=>{const s=i(t),o=s?V.findOne(s):null;if(o){const t=o.getBoundingClientRect();if(t.width||t.height)return[U[e](o).top+n,s]}return null})).filter((t=>t)).sort(((t,e)=>t[0]-e[0])).forEach((t=>{this._offsets.push(t[0]),this._targets.push(t[1])}))}dispose(){j.off(this._scrollElement,".bs.scrollspy"),super.dispose()}_getConfig(t){return(t={...bn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}}).target=r(t.target)||document.documentElement,a(_n,t,vn),t}_getScrollTop(){return this._scrollElement===window?this._scrollElement.pageYOffset:this._scrollElement.scrollTop}_getScrollHeight(){return this._scrollElement.scrollHeight||Math.max(document.body.scrollHeight,document.documentElement.scrollHeight)}_getOffsetHeight(){return this._scrollElement===window?window.innerHeight:this._scrollElement.getBoundingClientRect().height}_process(){const t=this._getScrollTop()+this._config.offset,e=this._getScrollHeight(),i=this._config.offset+e-this._getOffsetHeight();if(this._scrollHeight!==e&&this.refresh(),t>=i){const t=this._targets[this._targets.length-1];this._activeTarget!==t&&this._activate(t)}else{if(this._activeTarget&&t0)return this._activeTarget=null,void this._clear();for(let e=this._offsets.length;e--;)this._activeTarget!==this._targets[e]&&t>=this._offsets[e]&&(void 0===this._offsets[e+1]||t`${e}[data-bs-target="${t}"],${e}[href="${t}"]`)),i=V.findOne(e.join(","),this._config.target);i.classList.add(yn),i.classList.contains("dropdown-item")?V.findOne(".dropdown-toggle",i.closest(".dropdown")).classList.add(yn):V.parents(i,".nav, .list-group").forEach((t=>{V.prev(t,".nav-link, .list-group-item").forEach((t=>t.classList.add(yn))),V.prev(t,".nav-item").forEach((t=>{V.children(t,".nav-link").forEach((t=>t.classList.add(yn)))}))})),j.trigger(this._scrollElement,"activate.bs.scrollspy",{relatedTarget:t})}_clear(){V.find(wn,this._config.target).filter((t=>t.classList.contains(yn))).forEach((t=>t.classList.remove(yn)))}static jQueryInterface(t){return this.each((function(){const e=An.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}j.on(window,"load.bs.scrollspy.data-api",(()=>{V.find('[data-bs-spy="scroll"]').forEach((t=>new An(t)))})),g(An);const Tn="active",On="fade",Cn="show",kn=".active",Ln=":scope > li > .active";class xn extends B{static get NAME(){return"tab"}show(){if(this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE&&this._element.classList.contains(Tn))return;let t;const e=n(this._element),i=this._element.closest(".nav, .list-group");if(i){const e="UL"===i.nodeName||"OL"===i.nodeName?Ln:kn;t=V.find(e,i),t=t[t.length-1]}const s=t?j.trigger(t,"hide.bs.tab",{relatedTarget:this._element}):null;if(j.trigger(this._element,"show.bs.tab",{relatedTarget:t}).defaultPrevented||null!==s&&s.defaultPrevented)return;this._activate(this._element,i);const o=()=>{j.trigger(t,"hidden.bs.tab",{relatedTarget:this._element}),j.trigger(this._element,"shown.bs.tab",{relatedTarget:t})};e?this._activate(e,e.parentNode,o):o()}_activate(t,e,i){const n=(!e||"UL"!==e.nodeName&&"OL"!==e.nodeName?V.children(e,kn):V.find(Ln,e))[0],s=i&&n&&n.classList.contains(On),o=()=>this._transitionComplete(t,n,i);n&&s?(n.classList.remove(Cn),this._queueCallback(o,t,!0)):o()}_transitionComplete(t,e,i){if(e){e.classList.remove(Tn);const t=V.findOne(":scope > .dropdown-menu 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Dn="toast",Sn="hide",Nn="show",In="showing",Pn={animation:"boolean",autohide:"boolean",delay:"number"},jn={animation:!0,autohide:!0,delay:5e3};class Mn extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get DefaultType(){return Pn}static get Default(){return jn}static get NAME(){return Dn}show(){j.trigger(this._element,"show.bs.toast").defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(Sn),u(this._element),this._element.classList.add(Nn),this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.remove(In),j.trigger(this._element,"shown.bs.toast"),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this._element.classList.contains(Nn)&&(j.trigger(this._element,"hide.bs.toast").defaultPrevented||(this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.add(Sn),this._element.classList.remove(In),this._element.classList.remove(Nn),j.trigger(this._element,"hidden.bs.toast")}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this._element.classList.contains(Nn)&&this._element.classList.remove(Nn),super.dispose()}_getConfig(t){return t={...jn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}},a(Dn,t,this.constructor.DefaultType),t}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){j.on(this._element,"mouseover.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"mouseout.bs.toast",(t=>this._onInteraction(t,!1))),j.on(this._element,"focusin.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"focusout.bs.toast",(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=Mn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}return R(Mn),g(Mn),{Alert:W,Button:z,Carousel:st,Collapse:pt,Dropdown:hi,Modal:Hi,Offcanvas:Fi,Popover:gn,ScrollSpy:An,Tab:xn,Toast:Mn,Tooltip:un}}));
+//# sourceMappingURL=bootstrap.bundle.min.js.map
\ No newline at end of file
diff --git a/docs/column_api.html b/docs/column_api.html
new file mode 100644
index 0000000..2578fff
--- /dev/null
+++ b/docs/column_api.html
@@ -0,0 +1,716 @@
+
+
+
+
+
+
+
+
+
+column_api
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
        
+
+
        
+
+
+
+
+
+
+
+
+
        
+
        Column API
        
+
        A column in tablecloth is a named sequence of typed data. This special type is defined in the tech.ml.dataset. It is roughly comparable to a R vector.
        
+
        
+
        Column Creation
        
+
        Empty column
        
+
        
+
        (tcc/column)
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;boolean&gt;[0]
+null
+[]
        
+
        
+
        Column from a vector or a sequence
        
+
        
+
        (tcc/column [1 2 3 4 5])
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;int64&gt;[5]
+null
+[1, 2, 3, 4, 5]
        
+
        
+
        
+
        (tcc/column `(1 2 3 4 5))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;int64&gt;[5]
+null
+[1, 2, 3, 4, 5]
        
+
        
+
        
+
        Ones & Zeros
        
+
        You can also quickly create columns of ones or zeros:
        
+
        
+
        (tcc/ones 10)
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;int64&gt;[10]
+null
+[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
        
+
        
+
        
+
        (tcc/zeros 10)
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;int64&gt;[10]
+null
+[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
        
+
        
+
        
+
        
+
        Column?
        
+
        Finally, you can use the column? function to check if an item is a column:
        
+
        
+
        (tcc/column? [1 2 3 4 5])
        
+
        
+
        
+
        false
        
+
        
+
        
+
        (tcc/column? (tcc/column))
        
+
        
+
        
+
        true
        
+
        
+
        Tablecloth’s datasets of course consists of columns:
        
+
        
+
        (tcc/column? (-> (tc/dataset {:a [1 2 3 4 5]})
+                 :a))
        
+
        
+
        
+
        true
        
+
        
+
        
+
        
+
        
+
        Types and Type detection
        
+
        The default set of types for a column are defined in the underlying “tech ml” system. We can see the set here:
        
+
        
+
        (tech.v3.datatype.casting/all-datatypes)
        
+
        
+
        
+
        (:int32
+ :int16
+ :float32
+ :float64
+ :int64
+ :uint64
+ :string
+ :uint16
+ :int8
+ :uint32
+ :keyword
+ :decimal
+ :uuid
+ :boolean
+ :object
+ :char
+ :uint8)
        
+
        
+
        
+
        Typeof & Typeof?
        
+
        When you create a column, the underlying system will try to autodetect its type. We can see that here using the tcc/typeof function to check the type of a column:
        
+
        
+
        (-> (tcc/column [1 2 3 4 5])
+    (tcc/typeof))
        
+
        
+
        
+
        :int64
        
+
        
+
        
+
        (-> (tcc/column [:a :b :c :d :e])
+    (tcc/typeof))
        
+
        
+
        
+
        :keyword
        
+
        
+
        Columns containing heterogenous data will receive type :object:
        
+
        
+
        (-> (tcc/column [1 :b 3 :c 5])
+    (tcc/typeof))
        
+
        
+
        
+
        :object
        
+
        
+
        You can also use the tcc/typeof? function to check the value of a function as an asssertion:
        
+
        
+
        (-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :boolean))
        
+
        
+
        
+
        false
        
+
        
+
        
+
        (-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :int64))
        
+
        
+
        
+
        true
        
+
        
+
        Tablecloth has a concept of “concrete” and “general” types. A general type is the broad category of type and the concrete type is the actual type in memory. For example, a concrete type is a 64-bit integer :int64, which is also of the general type :integer. The typeof? function supports checking both.
        
+
        
+
        (-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :int64))
        
+
        
+
        
+
        true
        
+
        
+
        
+
        (-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :integer))
        
+
        
+
        
+
        true
        
+
        
+
        
+
        
+
        
+
        Column Access & Manipulation
        
+
        
+
        Column Access
        
+
        The method for accessing a particular index position in a column is the same as for Clojure vectors:
        
+
        
+
        (-> (tcc/column [1 2 3 4 5])
+    (get 3))
        
+
        
+
        
+
        4
        
+
        
+
        
+
        (-> (tcc/column [1 2 3 4 5])
+    (nth 3))
        
+
        
+
        
+
        4
        
+
        
+
        
+
        
+
        Slice
        
+
        You can also slice a column
        
+
        
+
        (-> (tcc/column (range 10))
+    (tcc/slice 5))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;int64&gt;[5]
+null
+[5, 6, 7, 8, 9]
        
+
        
+
        
+
        (-> (tcc/column (range 10))
+    (tcc/slice 1 4))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;int64&gt;[4]
+null
+[1, 2, 3, 4]
        
+
        
+
        
+
        (-> (tcc/column (range 10))
+    (tcc/slice 0 9 2))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;int64&gt;[5]
+null
+[0, 2, 4, 6, 8]
        
+
        
+
        For clarity, the slice method supports the :end and :start keywords:
        
+
        
+
        (-> (tcc/column (range 10))
+    (tcc/slice :start :end 2))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;int64&gt;[5]
+null
+[0, 2, 4, 6, 8]
        
+
        
+
        If you need to create a discontinuous subset of the column, you can use the select function. This method accepts an array of index positions or an array of booleans. When using boolean select, a true value will select the value at the index positions containing true values:
        
+
        
+
        
+
        Select
        
+
        Select the values at index positions 1 and 9:
        
+
        
+
        (-> (tcc/column (range 10))
+    (tcc/select [1 9]))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;int64&gt;[2]
+null
+[1, 9]
        
+
        
+
        Select the values at index positions 0 and 2 using booelan select:
        
+
        
+
        (-> (tcc/column (range 10))
+    (tcc/select (tcc/column [true false true])))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;int64&gt;[2]
+null
+[0, 2]
        
+
        
+
        
+
        
+
        Sort
        
+
        Use sort-column to sort a column: Default sort is in ascending order:
        
+
        
+
        (-> (tcc/column [:c :z :a :f])
+    (tcc/sort-column))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;keyword&gt;[4]
+null
+[:a, :c, :f, :z]
        
+
        
+
        You can provide the :desc and :asc keywords to change the default behavior:
        
+
        
+
        (-> (tcc/column [:c :z :a :f])
+    (tcc/sort-column :desc))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;keyword&gt;[4]
+null
+[:z, :f, :c, :a]
        
+
        
+
        You can also provide a comparator fn:
        
+
        
+
        (-> (tcc/column [{:position 2
+                  :text "and then stopped"}
+                 {:position 1
+                  :text "I ran fast"}])
+    (tcc/sort-column (fn [a b] (< (:position a) (:position b)))))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;persistent-map&gt;[2]
+null
+[{:position 1, :text "I ran fast"}, {:position 2, :text "and then stopped"}]
        
+
        
+
        
+
        
+
        
+
        Column Operations
        
+
        The Column API contains a large number of operations. These operations all take one or more columns as an argument, and they return either a scalar value or a new column, depending on the operations. These operations all take a column as the first argument so they are easy to use with the pipe -> macro, as with all functions in Tablecloth.
        
+
        
+
        (def a (tcc/column [20 30 40 50]))
        
+
        
+
        
+
        (def b (tcc/column (range 4)))
        
+
        
+
        
+
        (tcc/- a b)
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;int64&gt;[4]
+null
+[20, 29, 38, 47]
        
+
        
+
        
+
        (tcc/pow a 2)
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;float64&gt;[4]
+null
+[400.0, 900.0, 1600, 2500]
        
+
        
+
        
+
        (tcc/* 10 (tcc/sin a))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;float64&gt;[4]
+null
+[9.129, -9.880, 7.451, -2.624]
        
+
        
+
        
+
        (tcc/< a 35)
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;boolean&gt;[4]
+null
+[true, true, false, false]
        
+
        
+
        All these operations take a column as their first argument and return a column, so they can be chained easily.
        
+
        
+
        (-> a
+    (tcc/* b)
+    (tcc/< 70))
        
+
        
+
        
+
        #tech.v3.dataset.column&lt;boolean&gt;[4]
+null
+[true, true, false, false]
        
+
        
+
        
+
+
        
+
+
        
+
        
+
+
        
+
+
+
         
+
+
+
+
\ No newline at end of file
diff --git a/docs/column_api.qmd b/docs/column_api.qmd
new file mode 100644
index 0000000..c6976b8
--- /dev/null
+++ b/docs/column_api.qmd
@@ -0,0 +1,740 @@
+
+---
+format:
+  html: {toc: true, toc-depth: 4, theme: spacelab, output-file: column_api.html}
+highlight-style: solarized
+code-block-background: true
+include-in-header: {text: ''}
+
+---
+
+
+
+## Column API
+A `column` in tablecloth is a named sequence of typed data. This special type is defined in the `tech.ml.dataset`. It is roughly comparable to a R vector.
+
+### Column Creation
+Empty column
+
+
+
        
+```clojure
+(tcc/column)
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<boolean>[0]
+null
+[]
+
+```
+
        
+
+
+Column from a vector or a sequence
+
+
+
        
+```clojure
+(tcc/column [1 2 3 4 5])
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<int64>[5]
+null
+[1, 2, 3, 4, 5]
+
+```
+
        
+
+
+
+
        
+```clojure
+(tcc/column `(1 2 3 4 5))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<int64>[5]
+null
+[1, 2, 3, 4, 5]
+
+```
+
        
+
+
+
+#### Ones & Zeros
+You can also quickly create columns of ones or zeros:
+
+
+
        
+```clojure
+(tcc/ones 10)
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<int64>[10]
+null
+[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
+
+```
+
        
+
+
+
+
        
+```clojure
+(tcc/zeros 10)
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<int64>[10]
+null
+[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
+
+```
+
        
+
+
+
+#### Column?
+Finally, you can use the `column?` function to check if an item is a column:
+
+
+
        
+```clojure
+(tcc/column? [1 2 3 4 5])
+```
+
        
+
+
+
+
        
+```clojure
+false
+
+```
+
        
+
+
+
+
        
+```clojure
+(tcc/column? (tcc/column))
+```
+
        
+
+
+
+
        
+```clojure
+true
+
+```
+
        
+
+
+Tablecloth's datasets of course consists of columns:
+
+
+
        
+```clojure
+(tcc/column? (-> (tc/dataset {:a [1 2 3 4 5]})
+                 :a))
+```
+
        
+
+
+
+
        
+```clojure
+true
+
+```
+
        
+
+
+
+### Types and Type detection
+The default set of types for a column are defined in the underlying "tech ml" system. We can see the set here:
+
+
+
        
+```clojure
+(tech.v3.datatype.casting/all-datatypes)
+```
+
        
+
+
+
+
        
+```clojure
+(:int32
+ :int16
+ :float32
+ :float64
+ :int64
+ :uint64
+ :string
+ :uint16
+ :int8
+ :uint32
+ :keyword
+ :decimal
+ :uuid
+ :boolean
+ :object
+ :char
+ :uint8)
+
+```
+
        
+
+
+
+#### Typeof & Typeof?
+When you create a column, the underlying system will try to autodetect its type. We can see that here using the `tcc/typeof` function to check the type of a column:
+
+
+
        
+```clojure
+(-> (tcc/column [1 2 3 4 5])
+    (tcc/typeof))
+```
+
        
+
+
+
+
        
+```clojure
+:int64
+
+```
+
        
+
+
+
+
        
+```clojure
+(-> (tcc/column [:a :b :c :d :e])
+    (tcc/typeof))
+```
+
        
+
+
+
+
        
+```clojure
+:keyword
+
+```
+
        
+
+
+Columns containing heterogenous data will receive type `:object`:
+
+
+
        
+```clojure
+(-> (tcc/column [1 :b 3 :c 5])
+    (tcc/typeof))
+```
+
        
+
+
+
+
        
+```clojure
+:object
+
+```
+
        
+
+
+You can also use the `tcc/typeof?` function to check the value of a function as an asssertion:
+
+
+
        
+```clojure
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :boolean))
+```
+
        
+
+
+
+
        
+```clojure
+false
+
+```
+
        
+
+
+
+
        
+```clojure
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :int64))
+```
+
        
+
+
+
+
        
+```clojure
+true
+
+```
+
        
+
+
+Tablecloth has a concept of "concrete" and "general" types. A general type is the broad category of type and the concrete type is the actual type in memory. For example, a concrete type is a 64-bit integer `:int64`, which is also of the general type `:integer`. The `typeof?` function supports checking both.
+
+
+
        
+```clojure
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :int64))
+```
+
        
+
+
+
+
        
+```clojure
+true
+
+```
+
        
+
+
+
+
        
+```clojure
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :integer))
+```
+
        
+
+
+
+
        
+```clojure
+true
+
+```
+
        
+
+
+
+### Column Access & Manipulation
+
+#### Column Access
+The method for accessing a particular index position in a column is the same as for Clojure vectors:
+
+
+
        
+```clojure
+(-> (tcc/column [1 2 3 4 5])
+    (get 3))
+```
+
        
+
+
+
+
        
+```clojure
+4
+
+```
+
        
+
+
+
+
        
+```clojure
+(-> (tcc/column [1 2 3 4 5])
+    (nth 3))
+```
+
        
+
+
+
+
        
+```clojure
+4
+
+```
+
        
+
+
+
+#### Slice
+You can also slice a column
+
+
+
        
+```clojure
+(-> (tcc/column (range 10))
+    (tcc/slice 5))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<int64>[5]
+null
+[5, 6, 7, 8, 9]
+
+```
+
        
+
+
+
+
        
+```clojure
+(-> (tcc/column (range 10))
+    (tcc/slice 1 4))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<int64>[4]
+null
+[1, 2, 3, 4]
+
+```
+
        
+
+
+
+
        
+```clojure
+(-> (tcc/column (range 10))
+    (tcc/slice 0 9 2))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<int64>[5]
+null
+[0, 2, 4, 6, 8]
+
+```
+
        
+
+
+For clarity, the `slice` method supports the `:end` and `:start` keywords:
+
+
+
        
+```clojure
+(-> (tcc/column (range 10))
+    (tcc/slice :start :end 2))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<int64>[5]
+null
+[0, 2, 4, 6, 8]
+
+```
+
        
+
+
+If you need to create a discontinuous subset of the column, you can use the `select` function. This method accepts an array of index positions or an array of booleans. When using boolean select, a true value will select the value at the index positions containing true values:
+
+#### Select
+Select the values at index positions 1 and 9:
+
+
+
        
+```clojure
+(-> (tcc/column (range 10))
+    (tcc/select [1 9]))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<int64>[2]
+null
+[1, 9]
+
+```
+
        
+
+
+Select the values at index positions 0 and 2 using booelan select:
+
+
+
        
+```clojure
+(-> (tcc/column (range 10))
+    (tcc/select (tcc/column [true false true])))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<int64>[2]
+null
+[0, 2]
+
+```
+
        
+
+
+
+#### Sort  
+Use `sort-column` to sort a column:
+Default sort is in ascending order:
+
+
+
        
+```clojure
+(-> (tcc/column [:c :z :a :f])
+    (tcc/sort-column))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<keyword>[4]
+null
+[:a, :c, :f, :z]
+
+```
+
        
+
+
+You can provide the `:desc` and `:asc` keywords to change the default behavior:
+
+
+
        
+```clojure
+(-> (tcc/column [:c :z :a :f])
+    (tcc/sort-column :desc))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<keyword>[4]
+null
+[:z, :f, :c, :a]
+
+```
+
        
+
+
+You can also provide a comparator fn:
+
+
+
        
+```clojure
+(-> (tcc/column [{:position 2
+                  :text "and then stopped"}
+                 {:position 1
+                  :text "I ran fast"}])
+    (tcc/sort-column (fn [a b] (< (:position a) (:position b)))))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<persistent-map>[2]
+null
+[{:position 1, :text "I ran fast"}, {:position 2, :text "and then stopped"}]
+
+```
+
        
+
+
+
+### Column Operations
+The Column API contains a large number of operations. These operations all take one or more columns as an argument, and they return either a scalar value or a new column, depending on the operations.  These operations all take a column as the first argument so they are easy to use with the pipe `->` macro, as with all functions in Tablecloth.
+
+
+
        
+```clojure
+(def a (tcc/column [20 30 40 50]))
+```
+
        
+
+
+
+
        
+```clojure
+(def b (tcc/column (range 4)))
+```
+
        
+
+
+
+
        
+```clojure
+(tcc/- a b)
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<int64>[4]
+null
+[20, 29, 38, 47]
+
+```
+
        
+
+
+
+
        
+```clojure
+(tcc/pow a 2)
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<float64>[4]
+null
+[400.0, 900.0, 1600, 2500]
+
+```
+
        
+
+
+
+
        
+```clojure
+(tcc/* 10 (tcc/sin a))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<float64>[4]
+null
+[9.129, -9.880, 7.451, -2.624]
+
+```
+
        
+
+
+
+
        
+```clojure
+(tcc/< a 35)
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<boolean>[4]
+null
+[true, true, false, false]
+
+```
+
        
+
+
+All these operations take a column as their first argument and
+return a column, so they can be chained easily.
+
+
+
        
+```clojure
+(-> a
+    (tcc/* b)
+    (tcc/< 70))
+```
+
        
+
+
+
+
        
+```clojure
+#tech.v3.dataset.column<boolean>[4]
+null
+[true, true, false, false]
+
+```
+
        
+
+
+
        
+
+
\ No newline at end of file
diff --git a/docs/column_api_files/bootstrap0.css b/docs/column_api_files/bootstrap0.css
new file mode 100644
index 0000000..6ee5956
--- /dev/null
+++ b/docs/column_api_files/bootstrap0.css
@@ -0,0 +1,7 @@
+/*!
+ * Bootstrap v4.6.1 (https://getbootstrap.com/)
+ * Copyright 2011-2021 The Bootstrap Authors
+ * Copyright 2011-2021 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
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i;this.blur(t,t&&"focus"===t.type),this._scrollIntoView(e),this.active=e.first(),i=this.active.children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",i.attr("id")),i=this.active.parent().closest(".ui-menu-item").children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),t&&"keydown"===t.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),(i=e.children(".ui-menu")).length&&t&&/^mouse/.test(t.type)&&this._startOpening(i),this.activeMenu=e.parent(),this._trigger("focus",t,{item:e})},_scrollIntoView:function(t){var e,i,s;this._hasScroll()&&(i=parseFloat(V.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(V.css(this.activeMenu[0],"paddingTop"))||0,e=t.offset().top-this.activeMenu.offset().top-i-s,i=this.activeMenu.scrollTop(),s=this.activeMenu.height(),t=t.outerHeight(),e<0?this.activeMenu.scrollTop(i+e):s",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,liveRegionTimer:null,_create:function(){var i,s,n,t=this.element[0].nodeName.toLowerCase(),e="textarea"===t,t="input"===t;this.isMultiLine=e||!t&&this._isContentEditable(this.element),this.valueMethod=this.element[e||t?"val":"text"],this.isNewMenu=!0,this._addClass("ui-autocomplete-input"),this.element.attr("autocomplete","off"),this._on(this.element,{keydown:function(t){if(this.element.prop("readOnly"))s=n=i=!0;else{s=n=i=!1;var 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t=V(this);t.children(".ui-controlgroup-label-contents").length||t.contents().wrapAll("")}),o._addClass(e,null,"ui-widget ui-widget-content ui-state-default"),void(a=a.concat(e.get()))):void(V.fn[s]&&(n=o["_"+s+"Options"]?o["_"+s+"Options"]("middle"):{classes:{}},o.element.find(t).each(function(){var t=V(this),e=t[s]("instance"),i=V.widget.extend({},n);"button"===s&&t.parent(".ui-spinner").length||((e=e||t[s]()[s]("instance"))&&(i.classes=o._resolveClassesValues(i.classes,e)),t[s](i),i=t[s]("widget"),V.data(i[0],"ui-controlgroup-data",e||t[s]("instance")),a.push(i[0]))})))}),this.childWidgets=V(V.uniqueSort(a)),this._addClass(this.childWidgets,"ui-controlgroup-item")},_callChildMethod:function(e){this.childWidgets.each(function(){var t=V(this).data("ui-controlgroup-data");t&&t[e]&&t[e]()})},_updateCornerClass:function(t,e){e=this._buildSimpleOptions(e,"label").classes.label;this._removeClass(t,null,"ui-corner-top ui-corner-bottom ui-corner-left ui-corner-right ui-corner-all"),this._addClass(t,null,e)},_buildSimpleOptions:function(t,e){var i="vertical"===this.options.direction,s={classes:{}};return s.classes[e]={middle:"",first:"ui-corner-"+(i?"top":"left"),last:"ui-corner-"+(i?"bottom":"right"),only:"ui-corner-all"}[t],s},_spinnerOptions:function(t){t=this._buildSimpleOptions(t,"ui-spinner");return t.classes["ui-spinner-up"]="",t.classes["ui-spinner-down"]="",t},_buttonOptions:function(t){return this._buildSimpleOptions(t,"ui-button")},_checkboxradioOptions:function(t){return this._buildSimpleOptions(t,"ui-checkboxradio-label")},_selectmenuOptions:function(t){var e="vertical"===this.options.direction;return{width:e&&"auto",classes:{middle:{"ui-selectmenu-button-open":"","ui-selectmenu-button-closed":""},first:{"ui-selectmenu-button-open":"ui-corner-"+(e?"top":"tl"),"ui-selectmenu-button-closed":"ui-corner-"+(e?"top":"left")},last:{"ui-selectmenu-button-open":e?"":"ui-corner-tr","ui-selectmenu-button-closed":"ui-corner-"+(e?"bottom":"right")},only:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"}}[t]}},_resolveClassesValues:function(i,s){var n={};return V.each(i,function(t){var e=s.options.classes[t]||"",e=String.prototype.trim.call(e.replace(tt,""));n[t]=(e+" "+i[t]).replace(/\s+/g," ")}),n},_setOption:function(t,e){"direction"===t&&this._removeClass("ui-controlgroup-"+this.options.direction),this._super(t,e),"disabled"!==t?this.refresh():this._callChildMethod(e?"disable":"enable")},refresh:function(){var n,o=this;this._addClass("ui-controlgroup ui-controlgroup-"+this.options.direction),"horizontal"===this.options.direction&&this._addClass(null,"ui-helper-clearfix"),this._initWidgets(),n=this.childWidgets,(n=this.options.onlyVisible?n.filter(":visible"):n).length&&(V.each(["first","last"],function(t,e){var i,s=n[e]().data("ui-controlgroup-data");s&&o["_"+s.widgetName+"Options"]?((i=o["_"+s.widgetName+"Options"](1===n.length?"only":e)).classes=o._resolveClassesValues(i.classes,s),s.element[s.widgetName](i)):o._updateCornerClass(n[e](),e)}),this._callChildMethod("refresh"))}});V.widget("ui.checkboxradio",[V.ui.formResetMixin,{version:"1.13.1",options:{disabled:null,label:null,icon:!0,classes:{"ui-checkboxradio-label":"ui-corner-all","ui-checkboxradio-icon":"ui-corner-all"}},_getCreateOptions:function(){var t,e=this,i=this._super()||{};return this._readType(),t=this.element.labels(),this.label=V(t[t.length-1]),this.label.length||V.error("No label found for checkboxradio 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t?(this.form.length?V(this.form[0].elements).filter(e):V(e).filter(function(){return 0===V(this)._form().length})).not(this.element):V([])},_toggleClasses:function(){var t=this.element[0].checked;this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),this.options.icon&&"checkbox"===this.type&&this._toggleClass(this.icon,null,"ui-icon-check ui-state-checked",t)._toggleClass(this.icon,null,"ui-icon-blank",!t),"radio"===this.type&&this._getRadioGroup().each(function(){var t=V(this).checkboxradio("instance");t&&t._removeClass(t.label,"ui-checkboxradio-checked","ui-state-active")})},_destroy:function(){this._unbindFormResetHandler(),this.icon&&(this.icon.remove(),this.iconSpace.remove())},_setOption:function(t,e){if("label"!==t||e){if(this._super(t,e),"disabled"===t)return this._toggleClass(this.label,null,"ui-state-disabled",e),void(this.element[0].disabled=e);this.refresh()}},_updateIcon:function(t){var e="ui-icon ui-icon-background 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t=this.element[0].checked,e=this.element[0].disabled;this._updateIcon(t),this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),null!==this.options.label&&this._updateLabel(),e!==this.options.disabled&&this._setOptions({disabled:e})}}]);var et;V.ui.checkboxradio;V.widget("ui.button",{version:"1.13.1",defaultElement:"
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          "),this._addClass(this.helper,"ui-selectable-helper")},_destroy:function(){this.selectees.removeData("selectable-item"),this._mouseDestroy()},_mouseStart:function(i){var s=this,t=this.options;this.opos=[i.pageX,i.pageY],this.elementPos=V(this.element[0]).offset(),this.options.disabled||(this.selectees=V(t.filter,this.element[0]),this._trigger("start",i),V(t.appendTo).append(this.helper),this.helper.css({left:i.pageX,top:i.pageY,width:0,height:0}),t.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var t=V.data(this,"selectable-item");t.startselected=!0,i.metaKey||i.ctrlKey||(s._removeClass(t.$element,"ui-selected"),t.selected=!1,s._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,s._trigger("unselecting",i,{unselecting:t.element}))}),V(i.target).parents().addBack().each(function(){var t,e=V.data(this,"selectable-item");if(e)return t=!i.metaKey&&!i.ctrlKey||!e.$element.hasClass("ui-selected"),s._removeClass(e.$element,t?"ui-unselecting":"ui-selected")._addClass(e.$element,t?"ui-selecting":"ui-unselecting"),e.unselecting=!t,e.selecting=t,(e.selected=t)?s._trigger("selecting",i,{selecting:e.element}):s._trigger("unselecting",i,{unselecting:e.element}),!1}))},_mouseDrag:function(s){if(this.dragged=!0,!this.options.disabled){var t,n=this,o=this.options,a=this.opos[0],r=this.opos[1],l=s.pageX,h=s.pageY;return ll||i.righth||i.bottoma&&i.rightr&&i.bottom",options:{appendTo:null,classes:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"},disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:!1,change:null,close:null,focus:null,open:null,select:null},_create:function(){var t=this.element.uniqueId().attr("id");this.ids={element:t,button:t+"-button",menu:t+"-menu"},this._drawButton(),this._drawMenu(),this._bindFormResetHandler(),this._rendered=!1,this.menuItems=V()},_drawButton:function(){var t,e=this,i=this._parseOption(this.element.find("option:selected"),this.element[0].selectedIndex);this.labels=this.element.labels().attr("for",this.ids.button),this._on(this.labels,{click:function(t){this.button.trigger("focus"),t.preventDefault()}}),this.element.hide(),this.button=V("",{tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true",title:this.element.attr("title")}).insertAfter(this.element),this._addClass(this.button,"ui-selectmenu-button ui-selectmenu-button-closed","ui-button ui-widget"),t=V("").appendTo(this.button),this._addClass(t,"ui-selectmenu-icon","ui-icon "+this.options.icons.button),this.buttonItem=this._renderButtonItem(i).appendTo(this.button),!1!==this.options.width&&this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){e._rendered||e._refreshMenu()})},_drawMenu:function(){var i=this;this.menu=V("
            ",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=V("
            ").append(this.menu),this._addClass(this.menuWrap,"ui-selectmenu-menu","ui-front"),this.menuWrap.appendTo(this._appendTo()),this.menuInstance=this.menu.menu({classes:{"ui-menu":"ui-corner-bottom"},role:"listbox",select:function(t,e){t.preventDefault(),i._setSelection(),i._select(e.item.data("ui-selectmenu-item"),t)},focus:function(t,e){e=e.item.data("ui-selectmenu-item");null!=i.focusIndex&&e.index!==i.focusIndex&&(i._trigger("focus",t,{item:e}),i.isOpen||i._select(e,t)),i.focusIndex=e.index,i.button.attr("aria-activedescendant",i.menuItems.eq(e.index).attr("id"))}}).menu("instance"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(this._getSelectedItem().data("ui-selectmenu-item")||{})),null===this.options.width&&this._resizeButton()},_refreshMenu:function(){var t=this.element.find("option");this.menu.empty(),this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup").find(".ui-menu-item-wrapper"),this._rendered=!0,t.length&&(t=this._getSelectedItem(),this.menuInstance.focus(null,t),this._setAria(t.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(t){this.options.disabled||(this._rendered?(this._removeClass(this.menu.find(".ui-state-active"),null,"ui-state-active"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.menuItems.length&&(this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",t)))},_position:function(){this.menuWrap.position(V.extend({of:this.button},this.options.position))},close:function(t){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",t))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderButtonItem:function(t){var e=V("");return this._setText(e,t.label),this._addClass(e,"ui-selectmenu-text"),e},_renderMenu:function(s,t){var n=this,o="";V.each(t,function(t,e){var i;e.optgroup!==o&&(i=V("
          • ",{text:e.optgroup}),n._addClass(i,"ui-selectmenu-optgroup","ui-menu-divider"+(e.element.parent("optgroup").prop("disabled")?" ui-state-disabled":"")),i.appendTo(s),o=e.optgroup),n._renderItemData(s,e)})},_renderItemData:function(t,e){return this._renderItem(t,e).data("ui-selectmenu-item",e)},_renderItem:function(t,e){var i=V("
          • "),s=V("
            ",{title:e.element.attr("title")});return e.disabled&&this._addClass(i,null,"ui-state-disabled"),this._setText(s,e.label),i.append(s).appendTo(t)},_setText:function(t,e){e?t.text(e):t.html(" ")},_move:function(t,e){var i,s=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex).parent("li"):(i=this.menuItems.eq(this.element[0].selectedIndex).parent("li"),s+=":not(.ui-state-disabled)"),(s="first"===t||"last"===t?i["first"===t?"prevAll":"nextAll"](s).eq(-1):i[t+"All"](s).eq(0)).length&&this.menuInstance.focus(e,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex).parent("li")},_toggle:function(t){this[this.isOpen?"close":"open"](t)},_setSelection:function(){var t;this.range&&(window.getSelection?((t=window.getSelection()).removeAllRanges(),t.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(V(t.target).closest(".ui-selectmenu-menu, #"+V.escapeSelector(this.ids.button)).length||this.close(t))}},_buttonEvents:{mousedown:function(){var t;window.getSelection?(t=window.getSelection()).rangeCount&&(this.range=t.getRangeAt(0)):this.range=document.selection.createRange()},click:function(t){this._setSelection(),this._toggle(t)},keydown:function(t){var e=!0;switch(t.keyCode){case V.ui.keyCode.TAB:case V.ui.keyCode.ESCAPE:this.close(t),e=!1;break;case V.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case V.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case V.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case V.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case V.ui.keyCode.LEFT:this._move("prev",t);break;case V.ui.keyCode.RIGHT:this._move("next",t);break;case V.ui.keyCode.HOME:case V.ui.keyCode.PAGE_UP:this._move("first",t);break;case V.ui.keyCode.END:case V.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),e=!1}e&&t.preventDefault()}},_selectFocusedItem:function(t){var e=this.menuItems.eq(this.focusIndex).parent("li");e.hasClass("ui-state-disabled")||this._select(e.data("ui-selectmenu-item"),t)},_select:function(t,e){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=t.index,this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(t)),this._setAria(t),this._trigger("select",e,{item:t}),t.index!==i&&this._trigger("change",e,{item:t}),this.close(e)},_setAria:function(t){t=this.menuItems.eq(t.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(t,e){var i;"icons"===t&&(i=this.button.find("span.ui-icon"),this._removeClass(i,null,this.options.icons.button)._addClass(i,null,e.button)),this._super(t,e),"appendTo"===t&&this.menuWrap.appendTo(this._appendTo()),"width"===t&&this._resizeButton()},_setOptionDisabled:function(t){this._super(t),this.menuInstance.option("disabled",t),this.button.attr("aria-disabled",t),this._toggleClass(this.button,null,"ui-state-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_toggleAttr:function(){this.button.attr("aria-expanded",this.isOpen),this._removeClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"closed":"open"))._addClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"open":"closed"))._toggleClass(this.menuWrap,"ui-selectmenu-open",null,this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var t=this.options.width;!1!==t?(null===t&&(t=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(t)):this.button.css("width","")},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){var t=this._super();return t.disabled=this.element.prop("disabled"),t},_parseOptions:function(t){var i=this,s=[];t.each(function(t,e){e.hidden||s.push(i._parseOption(V(e),t))}),this.items=s},_parseOption:function(t,e){var i=t.parent("optgroup");return{element:t,index:e,value:t.val(),label:t.text(),optgroup:i.attr("label")||"",disabled:i.prop("disabled")||t.prop("disabled")}},_destroy:function(){this._unbindFormResetHandler(),this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.labels.attr("for",this.ids.element)}}]),V.widget("ui.slider",V.ui.mouse,{version:"1.13.1",widgetEventPrefix:"slide",options:{animate:!1,classes:{"ui-slider":"ui-corner-all","ui-slider-handle":"ui-corner-all","ui-slider-range":"ui-corner-all ui-widget-header"},distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this._addClass("ui-slider ui-slider-"+this.orientation,"ui-widget ui-widget-content"),this._refresh(),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,e=this.options,i=this.element.find(".ui-slider-handle"),s=[],n=e.values&&e.values.length||1;for(i.length>n&&(i.slice(n).remove(),i=i.slice(0,n)),t=i.length;t");this.handles=i.add(V(s.join("")).appendTo(this.element)),this._addClass(this.handles,"ui-slider-handle","ui-state-default"),this.handle=this.handles.eq(0),this.handles.each(function(t){V(this).data("ui-slider-handle-index",t).attr("tabIndex",0)})},_createRange:function(){var t=this.options;t.range?(!0===t.range&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:Array.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?(this._removeClass(this.range,"ui-slider-range-min ui-slider-range-max"),this.range.css({left:"",bottom:""})):(this.range=V("
            ").appendTo(this.element),this._addClass(this.range,"ui-slider-range")),"min"!==t.range&&"max"!==t.range||this._addClass(this.range,"ui-slider-range-"+t.range)):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,o,e,a,r=this,l=this.options;return!l.disabled&&(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),a={x:t.pageX,y:t.pageY},i=this._normValueFromMouse(a),s=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var e=Math.abs(i-r.values(t));(e=this._valueMax())return this._valueMax();var e=0=e&&(t+=0this.options.max&&(t-=i),this.max=parseFloat(t.toFixed(this._precision()))},_precision:function(){var t=this._precisionOf(this.options.step);return t=null!==this.options.min?Math.max(t,this._precisionOf(this.options.min)):t},_precisionOf:function(t){var e=t.toString(),t=e.indexOf(".");return-1===t?0:e.length-t-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshRange:function(t){"vertical"===t&&this.range.css({width:"",left:""}),"horizontal"===t&&this.range.css({height:"",bottom:""})},_refreshValue:function(){var e,i,t,s,n,o=this.options.range,a=this.options,r=this,l=!this._animateOff&&a.animate,h={};this._hasMultipleValues()?this.handles.each(function(t){i=(r.values(t)-r._valueMin())/(r._valueMax()-r._valueMin())*100,h["horizontal"===r.orientation?"left":"bottom"]=i+"%",V(this).stop(1,1)[l?"animate":"css"](h,a.animate),!0===r.options.range&&("horizontal"===r.orientation?(0===t&&r.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({width:i-e+"%"},{queue:!1,duration:a.animate})):(0===t&&r.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({height:i-e+"%"},{queue:!1,duration:a.animate}))),e=i}):(t=this.value(),s=this._valueMin(),n=this._valueMax(),i=n!==s?(t-s)/(n-s)*100:0,h["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](h,a.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},a.animate),"max"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:100-i+"%"},a.animate),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},a.animate),"max"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:100-i+"%"},a.animate))},_handleEvents:{keydown:function(t){var e,i,s,n=V(t.target).data("ui-slider-handle-index");switch(t.keyCode){case V.ui.keyCode.HOME:case V.ui.keyCode.END:case V.ui.keyCode.PAGE_UP:case V.ui.keyCode.PAGE_DOWN:case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,this._addClass(V(t.target),null,"ui-state-active"),!1===this._start(t,n)))return}switch(s=this.options.step,e=i=this._hasMultipleValues()?this.values(n):this.value(),t.keyCode){case V.ui.keyCode.HOME:i=this._valueMin();break;case V.ui.keyCode.END:i=this._valueMax();break;case V.ui.keyCode.PAGE_UP:i=this._trimAlignValue(e+(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.PAGE_DOWN:i=this._trimAlignValue(e-(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:if(e===this._valueMax())return;i=this._trimAlignValue(e+s);break;case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(e===this._valueMin())return;i=this._trimAlignValue(e-s)}this._slide(t,n,i)},keyup:function(t){var e=V(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,e),this._change(t,e),this._removeClass(V(t.target),null,"ui-state-active"))}}}),V.widget("ui.sortable",V.ui.mouse,{version:"1.13.1",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(t,e,i){return e<=t&&t*{ cursor: "+o.cursor+" !important; }").appendTo(n)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!i)for(s=this.containers.length-1;0<=s;s--)this.containers[s]._trigger("activate",t,this._uiHash(this));return V.ui.ddmanager&&(V.ui.ddmanager.current=this),V.ui.ddmanager&&!o.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this._addClass(this.helper,"ui-sortable-helper"),this.helper.parent().is(this.appendTo)||(this.helper.detach().appendTo(this.appendTo),this.offset.parent=this._getParentOffset()),this.position=this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,this.lastPositionAbs=this.positionAbs=this._convertPositionTo("absolute"),this._mouseDrag(t),!0},_scroll:function(t){var e=this.options,i=!1;return this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageYt[this.floating?"width":"height"]?h&&c:o",i.document[0]);return i._addClass(t,"ui-sortable-placeholder",s||i.currentItem[0].className)._removeClass(t,"ui-sortable-helper"),"tbody"===n?i._createTrPlaceholder(i.currentItem.find("tr").eq(0),V("",i.document[0]).appendTo(t)):"tr"===n?i._createTrPlaceholder(i.currentItem,t):"img"===n&&t.attr("src",i.currentItem.attr("src")),s||t.css("visibility","hidden"),t},update:function(t,e){s&&!o.forcePlaceholderSize||(e.height()&&(!o.forcePlaceholderSize||"tbody"!==n&&"tr"!==n)||e.height(i.currentItem.innerHeight()-parseInt(i.currentItem.css("paddingTop")||0,10)-parseInt(i.currentItem.css("paddingBottom")||0,10)),e.width()||e.width(i.currentItem.innerWidth()-parseInt(i.currentItem.css("paddingLeft")||0,10)-parseInt(i.currentItem.css("paddingRight")||0,10)))}}),i.placeholder=V(o.placeholder.element.call(i.element,i.currentItem)),i.currentItem.after(i.placeholder),o.placeholder.update(i,i.placeholder)},_createTrPlaceholder:function(t,e){var 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i,e=this.element.parent();"fill"===t?(i=e.height(),i-=this.element.outerHeight()-this.element.height(),this.element.siblings(":visible").each(function(){var t=V(this),e=t.css("position");"absolute"!==e&&"fixed"!==e&&(i-=t.outerHeight(!0))}),this.element.children().not(this.panels).each(function(){i-=V(this).outerHeight(!0)}),this.panels.each(function(){V(this).height(Math.max(0,i-V(this).innerHeight()+V(this).height()))}).css("overflow","auto")):"auto"===t&&(i=0,this.panels.each(function(){i=Math.max(i,V(this).height("").height())}).height(i))},_eventHandler:function(t){var 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diff --git a/docs/column_api_files/html-default3.js b/docs/column_api_files/html-default3.js
new file mode 100644
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0===i&&(i={x:0,y:0}),{top:t.top-e.height-i.y,right:t.right-e.width+i.x,bottom:t.bottom-e.height+i.y,left:t.left-e.width-i.x}}function Se(t){return[mt,_t,gt,bt].some((function(e){return t[e]>=0}))}const Ne={name:"hide",enabled:!0,phase:"main",requiresIfExists:["preventOverflow"],fn:function(t){var e=t.state,i=t.name,n=e.rects.reference,s=e.rects.popper,o=e.modifiersData.preventOverflow,r=ke(e,{elementContext:"reference"}),a=ke(e,{altBoundary:!0}),l=De(r,n),c=De(a,s,o),h=Se(l),d=Se(c);e.modifiersData[i]={referenceClippingOffsets:l,popperEscapeOffsets:c,isReferenceHidden:h,hasPopperEscaped:d},e.attributes.popper=Object.assign({},e.attributes.popper,{"data-popper-reference-hidden":h,"data-popper-escaped":d})}},Ie={name:"offset",enabled:!0,phase:"main",requires:["popperOffsets"],fn:function(t){var e=t.state,i=t.options,n=t.name,s=i.offset,o=void 0===s?[0,0]:s,r=Lt.reduce((function(t,i){return t[i]=function(t,e,i){var n=Ut(t),s=[bt,mt].indexOf(n)>=0?-1:1,o="function"==typeof 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0===p?0:p,g=ke(e,{boundary:l,rootBoundary:c,padding:d,altBoundary:h}),_=Ut(e.placement),b=ce(e.placement),v=!b,y=ee(_),w="x"===y?"y":"x",E=e.modifiersData.popperOffsets,A=e.rects.reference,T=e.rects.popper,O="function"==typeof m?m(Object.assign({},e.rects,{placement:e.placement})):m,C={x:0,y:0};if(E){if(o||a){var k="y"===y?mt:bt,L="y"===y?gt:_t,x="y"===y?"height":"width",D=E[y],S=E[y]+g[k],N=E[y]-g[L],I=f?-T[x]/2:0,P=b===wt?A[x]:T[x],j=b===wt?-T[x]:-A[x],M=e.elements.arrow,H=f&&M?Kt(M):{width:0,height:0},B=e.modifiersData["arrow#persistent"]?e.modifiersData["arrow#persistent"].padding:{top:0,right:0,bottom:0,left:0},R=B[k],W=B[L],$=oe(0,A[x],H[x]),z=v?A[x]/2-I-$-R-O:P-$-R-O,q=v?-A[x]/2+I+$+W+O:j+$+W+O,F=e.elements.arrow&&te(e.elements.arrow),U=F?"y"===y?F.clientTop||0:F.clientLeft||0:0,V=e.modifiersData.offset?e.modifiersData.offset[e.placement][y]:0,K=E[y]+z-V-U,X=E[y]+q-V;if(o){var Y=oe(f?ne(S,K):S,D,f?ie(N,X):N);E[y]=Y,C[y]=Y-D}if(a){var Q="x"===y?mt:bt,G="x"===y?gt:_t,Z=E[w],J=Z+g[Q],tt=Z-g[G],et=oe(f?ne(J,K):J,Z,f?ie(tt,X):tt);E[w]=et,C[w]=et-Z}}e.modifiersData[n]=C}},requiresIfExists:["offset"]};function Me(t,e,i){void 0===i&&(i=!1);var n=zt(e);zt(e)&&function(t){var e=t.getBoundingClientRect();e.width,t.offsetWidth,e.height,t.offsetHeight}(e);var s,o,r=Gt(e),a=Vt(t),l={scrollLeft:0,scrollTop:0},c={x:0,y:0};return(n||!n&&!i)&&(("body"!==Rt(e)||we(r))&&(l=(s=e)!==Wt(s)&&zt(s)?{scrollLeft:(o=s).scrollLeft,scrollTop:o.scrollTop}:ve(s)),zt(e)?((c=Vt(e)).x+=e.clientLeft,c.y+=e.clientTop):r&&(c.x=ye(r))),{x:a.left+l.scrollLeft-c.x,y:a.top+l.scrollTop-c.y,width:a.width,height:a.height}}function He(t){var e=new Map,i=new Set,n=[];function s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var Be={placement:"bottom",modifiers:[],strategy:"absolute"};function Re(){for(var t=arguments.length,e=new Array(t),i=0;ij.on(t,"mouseover",d))),this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Je),this._element.classList.add(Je),j.trigger(this._element,"shown.bs.dropdown",t)}hide(){if(c(this._element)||!this._isShown(this._menu))return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){j.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented||("ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._popper&&this._popper.destroy(),this._menu.classList.remove(Je),this._element.classList.remove(Je),this._element.setAttribute("aria-expanded","false"),U.removeDataAttribute(this._menu,"popper"),j.trigger(this._element,"hidden.bs.dropdown",t))}_getConfig(t){if(t={...this.constructor.Default,...U.getDataAttributes(this._element),...t},a(Ue,t,this.constructor.DefaultType),"object"==typeof t.reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ue.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(t){if(void 0===Fe)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let e=this._element;"parent"===this._config.reference?e=t:o(this._config.reference)?e=r(this._config.reference):"object"==typeof this._config.reference&&(e=this._config.reference);const i=this._getPopperConfig(),n=i.modifiers.find((t=>"applyStyles"===t.name&&!1===t.enabled));this._popper=qe(e,this._menu,i),n&&U.setDataAttribute(this._menu,"popper","static")}_isShown(t=this._element){return t.classList.contains(Je)}_getMenuElement(){return V.next(this._element,ei)[0]}_getPlacement(){const t=this._element.parentNode;if(t.classList.contains("dropend"))return ri;if(t.classList.contains("dropstart"))return ai;const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ni:ii:e?oi:si}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return"static"===this._config.display&&(t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=V.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter(l);i.length&&v(i,e,t===Ye,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(t&&(2===t.button||"keyup"===t.type&&"Tab"!==t.key))return;const e=V.find(ti);for(let i=0,n=e.length;ie+t)),this._setElementAttributes(di,"paddingRight",(e=>e+t)),this._setElementAttributes(ui,"marginRight",(e=>e-t))}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t)[e];t.style[e]=`${i(Number.parseFloat(s))}px`}))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,"paddingRight"),this._resetElementAttributes(di,"paddingRight"),this._resetElementAttributes(ui,"marginRight")}_saveInitialAttribute(t,e){const i=t.style[e];i&&U.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=U.getDataAttribute(t,e);void 0===i?t.style.removeProperty(e):(U.removeDataAttribute(t,e),t.style[e]=i)}))}_applyManipulationCallback(t,e){o(t)?e(t):V.find(t,this._element).forEach(e)}isOverflowing(){return this.getWidth()>0}}const pi={className:"modal-backdrop",isVisible:!0,isAnimated:!1,rootElement:"body",clickCallback:null},mi={className:"string",isVisible:"boolean",isAnimated:"boolean",rootElement:"(element|string)",clickCallback:"(function|null)"},gi="show",_i="mousedown.bs.backdrop";class bi{constructor(t){this._config=this._getConfig(t),this._isAppended=!1,this._element=null}show(t){this._config.isVisible?(this._append(),this._config.isAnimated&&u(this._getElement()),this._getElement().classList.add(gi),this._emulateAnimation((()=>{_(t)}))):_(t)}hide(t){this._config.isVisible?(this._getElement().classList.remove(gi),this._emulateAnimation((()=>{this.dispose(),_(t)}))):_(t)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_getConfig(t){return(t={...pi,..."object"==typeof t?t:{}}).rootElement=r(t.rootElement),a("backdrop",t,mi),t}_append(){this._isAppended||(this._config.rootElement.append(this._getElement()),j.on(this._getElement(),_i,(()=>{_(this._config.clickCallback)})),this._isAppended=!0)}dispose(){this._isAppended&&(j.off(this._element,_i),this._element.remove(),this._isAppended=!1)}_emulateAnimation(t){b(t,this._getElement(),this._config.isAnimated)}}const vi={trapElement:null,autofocus:!0},yi={trapElement:"element",autofocus:"boolean"},wi=".bs.focustrap",Ei="backward";class Ai{constructor(t){this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}activate(){const{trapElement:t,autofocus:e}=this._config;this._isActive||(e&&t.focus(),j.off(document,wi),j.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),j.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,j.off(document,wi))}_handleFocusin(t){const{target:e}=t,{trapElement:i}=this._config;if(e===document||e===i||i.contains(e))return;const n=V.focusableChildren(i);0===n.length?i.focus():this._lastTabNavDirection===Ei?n[n.length-1].focus():n[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Ei:"forward")}_getConfig(t){return t={...vi,..."object"==typeof t?t:{}},a("focustrap",t,yi),t}}const Ti="modal",Oi="Escape",Ci={backdrop:!0,keyboard:!0,focus:!0},ki={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean"},Li="hidden.bs.modal",xi="show.bs.modal",Di="resize.bs.modal",Si="click.dismiss.bs.modal",Ni="keydown.dismiss.bs.modal",Ii="mousedown.dismiss.bs.modal",Pi="modal-open",ji="show",Mi="modal-static";class Hi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._dialog=V.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._ignoreBackdropClick=!1,this._isTransitioning=!1,this._scrollBar=new fi}static get Default(){return Ci}static get NAME(){return Ti}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||j.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isAnimated()&&(this._isTransitioning=!0),this._scrollBar.hide(),document.body.classList.add(Pi),this._adjustDialog(),this._setEscapeEvent(),this._setResizeEvent(),j.on(this._dialog,Ii,(()=>{j.one(this._element,"mouseup.dismiss.bs.modal",(t=>{t.target===this._element&&(this._ignoreBackdropClick=!0)}))})),this._showBackdrop((()=>this._showElement(t))))}hide(){if(!this._isShown||this._isTransitioning)return;if(j.trigger(this._element,"hide.bs.modal").defaultPrevented)return;this._isShown=!1;const t=this._isAnimated();t&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),this._focustrap.deactivate(),this._element.classList.remove(ji),j.off(this._element,Si),j.off(this._dialog,Ii),this._queueCallback((()=>this._hideModal()),this._element,t)}dispose(){[window,this._dialog].forEach((t=>j.off(t,".bs.modal"))),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new bi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_getConfig(t){return t={...Ci,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Ti,t,ki),t}_showElement(t){const e=this._isAnimated(),i=V.findOne(".modal-body",this._dialog);this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0,i&&(i.scrollTop=0),e&&u(this._element),this._element.classList.add(ji),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,j.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,e)}_setEscapeEvent(){this._isShown?j.on(this._element,Ni,(t=>{this._config.keyboard&&t.key===Oi?(t.preventDefault(),this.hide()):this._config.keyboard||t.key!==Oi||this._triggerBackdropTransition()})):j.off(this._element,Ni)}_setResizeEvent(){this._isShown?j.on(window,Di,(()=>this._adjustDialog())):j.off(window,Di)}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Pi),this._resetAdjustments(),this._scrollBar.reset(),j.trigger(this._element,Li)}))}_showBackdrop(t){j.on(this._element,Si,(t=>{this._ignoreBackdropClick?this._ignoreBackdropClick=!1:t.target===t.currentTarget&&(!0===this._config.backdrop?this.hide():"static"===this._config.backdrop&&this._triggerBackdropTransition())})),this._backdrop.show(t)}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(j.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const{classList:t,scrollHeight:e,style:i}=this._element,n=e>document.documentElement.clientHeight;!n&&"hidden"===i.overflowY||t.contains(Mi)||(n||(i.overflowY="hidden"),t.add(Mi),this._queueCallback((()=>{t.remove(Mi),n||this._queueCallback((()=>{i.overflowY=""}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;(!i&&t&&!m()||i&&!t&&m())&&(this._element.style.paddingLeft=`${e}px`),(i&&!t&&!m()||!i&&t&&m())&&(this._element.style.paddingRight=`${e}px`)}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}j.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=n(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),j.one(e,xi,(t=>{t.defaultPrevented||j.one(e,Li,(()=>{l(this)&&this.focus()}))}));const i=V.findOne(".modal.show");i&&Hi.getInstance(i).hide(),Hi.getOrCreateInstance(e).toggle(this)})),R(Hi),g(Hi);const Bi="offcanvas",Ri={backdrop:!0,keyboard:!0,scroll:!1},Wi={backdrop:"boolean",keyboard:"boolean",scroll:"boolean"},$i="show",zi=".offcanvas.show",qi="hidden.bs.offcanvas";class Fi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get NAME(){return Bi}static get Default(){return Ri}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||j.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._element.style.visibility="visible",this._backdrop.show(),this._config.scroll||(new fi).hide(),this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($i),this._queueCallback((()=>{this._config.scroll||this._focustrap.activate(),j.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(j.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.remove($i),this._backdrop.hide(),this._queueCallback((()=>{this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._element.style.visibility="hidden",this._config.scroll||(new fi).reset(),j.trigger(this._element,qi)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_getConfig(t){return t={...Ri,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Bi,t,Wi),t}_initializeBackDrop(){return new bi({className:"offcanvas-backdrop",isVisible:this._config.backdrop,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:()=>this.hide()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_addEventListeners(){j.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{this._config.keyboard&&"Escape"===t.key&&this.hide()}))}static jQueryInterface(t){return this.each((function(){const e=Fi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}j.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=n(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),c(this))return;j.one(e,qi,(()=>{l(this)&&this.focus()}));const i=V.findOne(zi);i&&i!==e&&Fi.getInstance(i).hide(),Fi.getOrCreateInstance(e).toggle(this)})),j.on(window,"load.bs.offcanvas.data-api",(()=>V.find(zi).forEach((t=>Fi.getOrCreateInstance(t).show())))),R(Fi),g(Fi);const Ui=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Vi=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Ki=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Xi=(t,e)=>{const i=t.nodeName.toLowerCase();if(e.includes(i))return!Ui.has(i)||Boolean(Vi.test(t.nodeValue)||Ki.test(t.nodeValue));const n=e.filter((t=>t instanceof RegExp));for(let t=0,e=n.length;t{Xi(t,r)||i.removeAttribute(t.nodeName)}))}return n.body.innerHTML}const Qi="tooltip",Gi=new Set(["sanitize","allowList","sanitizeFn"]),Zi={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"(array|string|function)",container:"(string|element|boolean)",fallbackPlacements:"array",boundary:"(string|element)",customClass:"(string|function)",sanitize:"boolean",sanitizeFn:"(null|function)",allowList:"object",popperConfig:"(null|object|function)"},Ji={AUTO:"auto",TOP:"top",RIGHT:m()?"left":"right",BOTTOM:"bottom",LEFT:m()?"right":"left"},tn={animation:!0,template:'',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:[0,0],container:!1,fallbackPlacements:["top","right","bottom","left"],boundary:"clippingParents",customClass:"",sanitize:!0,sanitizeFn:null,allowList:{"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},popperConfig:null},en={HIDE:"hide.bs.tooltip",HIDDEN:"hidden.bs.tooltip",SHOW:"show.bs.tooltip",SHOWN:"shown.bs.tooltip",INSERTED:"inserted.bs.tooltip",CLICK:"click.bs.tooltip",FOCUSIN:"focusin.bs.tooltip",FOCUSOUT:"focusout.bs.tooltip",MOUSEENTER:"mouseenter.bs.tooltip",MOUSELEAVE:"mouseleave.bs.tooltip"},nn="fade",sn="show",on="show",rn="out",an=".tooltip-inner",ln=".modal",cn="hide.bs.modal",hn="hover",dn="focus";class un extends B{constructor(t,e){if(void 0===Fe)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t),this._isEnabled=!0,this._timeout=0,this._hoverState="",this._activeTrigger={},this._popper=null,this._config=this._getConfig(e),this.tip=null,this._setListeners()}static get Default(){return tn}static get NAME(){return Qi}static get Event(){return en}static get DefaultType(){return Zi}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(t){if(this._isEnabled)if(t){const e=this._initializeOnDelegatedTarget(t);e._activeTrigger.click=!e._activeTrigger.click,e._isWithActiveTrigger()?e._enter(null,e):e._leave(null,e)}else{if(this.getTipElement().classList.contains(sn))return void this._leave(null,this);this._enter(null,this)}}dispose(){clearTimeout(this._timeout),j.off(this._element.closest(ln),cn,this._hideModalHandler),this.tip&&this.tip.remove(),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this.isWithContent()||!this._isEnabled)return;const t=j.trigger(this._element,this.constructor.Event.SHOW),e=h(this._element),i=null===e?this._element.ownerDocument.documentElement.contains(this._element):e.contains(this._element);if(t.defaultPrevented||!i)return;"tooltip"===this.constructor.NAME&&this.tip&&this.getTitle()!==this.tip.querySelector(an).innerHTML&&(this._disposePopper(),this.tip.remove(),this.tip=null);const n=this.getTipElement(),s=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME);n.setAttribute("id",s),this._element.setAttribute("aria-describedby",s),this._config.animation&&n.classList.add(nn);const o="function"==typeof this._config.placement?this._config.placement.call(this,n,this._element):this._config.placement,r=this._getAttachment(o);this._addAttachmentClass(r);const{container:a}=this._config;H.set(n,this.constructor.DATA_KEY,this),this._element.ownerDocument.documentElement.contains(this.tip)||(a.append(n),j.trigger(this._element,this.constructor.Event.INSERTED)),this._popper?this._popper.update():this._popper=qe(this._element,n,this._getPopperConfig(r)),n.classList.add(sn);const l=this._resolvePossibleFunction(this._config.customClass);l&&n.classList.add(...l.split(" ")),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>{j.on(t,"mouseover",d)}));const c=this.tip.classList.contains(nn);this._queueCallback((()=>{const t=this._hoverState;this._hoverState=null,j.trigger(this._element,this.constructor.Event.SHOWN),t===rn&&this._leave(null,this)}),this.tip,c)}hide(){if(!this._popper)return;const t=this.getTipElement();if(j.trigger(this._element,this.constructor.Event.HIDE).defaultPrevented)return;t.classList.remove(sn),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1;const e=this.tip.classList.contains(nn);this._queueCallback((()=>{this._isWithActiveTrigger()||(this._hoverState!==on&&t.remove(),this._cleanTipClass(),this._element.removeAttribute("aria-describedby"),j.trigger(this._element,this.constructor.Event.HIDDEN),this._disposePopper())}),this.tip,e),this._hoverState=""}update(){null!==this._popper&&this._popper.update()}isWithContent(){return Boolean(this.getTitle())}getTipElement(){if(this.tip)return this.tip;const t=document.createElement("div");t.innerHTML=this._config.template;const e=t.children[0];return this.setContent(e),e.classList.remove(nn,sn),this.tip=e,this.tip}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),an)}_sanitizeAndSetContent(t,e,i){const n=V.findOne(i,t);e||!n?this.setElementContent(n,e):n.remove()}setElementContent(t,e){if(null!==t)return o(e)?(e=r(e),void(this._config.html?e.parentNode!==t&&(t.innerHTML="",t.append(e)):t.textContent=e.textContent)):void(this._config.html?(this._config.sanitize&&(e=Yi(e,this._config.allowList,this._config.sanitizeFn)),t.innerHTML=e):t.textContent=e)}getTitle(){const t=this._element.getAttribute("data-bs-original-title")||this._config.title;return this._resolvePossibleFunction(t)}updateAttachment(t){return"right"===t?"end":"left"===t?"start":t}_initializeOnDelegatedTarget(t,e){return e||this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"onChange",enabled:!0,phase:"afterWrite",fn:t=>this._handlePopperPlacementChange(t)}],onFirstUpdate:t=>{t.options.placement!==t.placement&&this._handlePopperPlacementChange(t)}};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_addAttachmentClass(t){this.getTipElement().classList.add(`${this._getBasicClassPrefix()}-${this.updateAttachment(t)}`)}_getAttachment(t){return Ji[t.toUpperCase()]}_setListeners(){this._config.trigger.split(" 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this._element.getAttribute("data-bs-original-title");(t||"string"!==e)&&(this._element.setAttribute("data-bs-original-title",t||""),!t||this._element.getAttribute("aria-label")||this._element.textContent||this._element.setAttribute("aria-label",t),this._element.setAttribute("title",""))}_enter(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusin"===t.type?dn:hn]=!0),e.getTipElement().classList.contains(sn)||e._hoverState===on?e._hoverState=on:(clearTimeout(e._timeout),e._hoverState=on,e._config.delay&&e._config.delay.show?e._timeout=setTimeout((()=>{e._hoverState===on&&e.show()}),e._config.delay.show):e.show())}_leave(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusout"===t.type?dn:hn]=e._element.contains(t.relatedTarget)),e._isWithActiveTrigger()||(clearTimeout(e._timeout),e._hoverState=rn,e._config.delay&&e._config.delay.hide?e._timeout=setTimeout((()=>{e._hoverState===rn&&e.hide()}),e._config.delay.hide):e.hide())}_isWithActiveTrigger(){for(const t in this._activeTrigger)if(this._activeTrigger[t])return!0;return!1}_getConfig(t){const e=U.getDataAttributes(this._element);return Object.keys(e).forEach((t=>{Gi.has(t)&&delete e[t]})),(t={...this.constructor.Default,...e,..."object"==typeof t&&t?t:{}}).container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),a(Qi,t,this.constructor.DefaultType),t.sanitize&&(t.template=Yi(t.template,t.allowList,t.sanitizeFn)),t}_getDelegateConfig(){const t={};for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t}_cleanTipClass(){const t=this.getTipElement(),e=new RegExp(`(^|\\s)${this._getBasicClassPrefix()}\\S+`,"g"),i=t.getAttribute("class").match(e);null!==i&&i.length>0&&i.map((t=>t.trim())).forEach((e=>t.classList.remove(e)))}_getBasicClassPrefix(){return"bs-tooltip"}_handlePopperPlacementChange(t){const{state:e}=t;e&&(this.tip=e.elements.popper,this._cleanTipClass(),this._addAttachmentClass(this._getAttachment(e.placement)))}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null)}static jQueryInterface(t){return this.each((function(){const e=un.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(un);const fn={...un.Default,placement:"right",offset:[0,8],trigger:"click",content:"",template:''},pn={...un.DefaultType,content:"(string|element|function)"},mn={HIDE:"hide.bs.popover",HIDDEN:"hidden.bs.popover",SHOW:"show.bs.popover",SHOWN:"shown.bs.popover",INSERTED:"inserted.bs.popover",CLICK:"click.bs.popover",FOCUSIN:"focusin.bs.popover",FOCUSOUT:"focusout.bs.popover",MOUSEENTER:"mouseenter.bs.popover",MOUSELEAVE:"mouseleave.bs.popover"};class gn extends un{static get Default(){return fn}static get NAME(){return"popover"}static get Event(){return mn}static get DefaultType(){return pn}isWithContent(){return this.getTitle()||this._getContent()}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),".popover-header"),this._sanitizeAndSetContent(t,this._getContent(),".popover-body")}_getContent(){return this._resolvePossibleFunction(this._config.content)}_getBasicClassPrefix(){return"bs-popover"}static jQueryInterface(t){return this.each((function(){const e=gn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(gn);const _n="scrollspy",bn={offset:10,method:"auto",target:""},vn={offset:"number",method:"string",target:"(string|element)"},yn="active",wn=".nav-link, .list-group-item, .dropdown-item",En="position";class An extends B{constructor(t,e){super(t),this._scrollElement="BODY"===this._element.tagName?window:this._element,this._config=this._getConfig(e),this._offsets=[],this._targets=[],this._activeTarget=null,this._scrollHeight=0,j.on(this._scrollElement,"scroll.bs.scrollspy",(()=>this._process())),this.refresh(),this._process()}static get Default(){return bn}static get NAME(){return _n}refresh(){const t=this._scrollElement===this._scrollElement.window?"offset":En,e="auto"===this._config.method?t:this._config.method,n=e===En?this._getScrollTop():0;this._offsets=[],this._targets=[],this._scrollHeight=this._getScrollHeight(),V.find(wn,this._config.target).map((t=>{const s=i(t),o=s?V.findOne(s):null;if(o){const t=o.getBoundingClientRect();if(t.width||t.height)return[U[e](o).top+n,s]}return null})).filter((t=>t)).sort(((t,e)=>t[0]-e[0])).forEach((t=>{this._offsets.push(t[0]),this._targets.push(t[1])}))}dispose(){j.off(this._scrollElement,".bs.scrollspy"),super.dispose()}_getConfig(t){return(t={...bn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}}).target=r(t.target)||document.documentElement,a(_n,t,vn),t}_getScrollTop(){return this._scrollElement===window?this._scrollElement.pageYOffset:this._scrollElement.scrollTop}_getScrollHeight(){return this._scrollElement.scrollHeight||Math.max(document.body.scrollHeight,document.documentElement.scrollHeight)}_getOffsetHeight(){return this._scrollElement===window?window.innerHeight:this._scrollElement.getBoundingClientRect().height}_process(){const t=this._getScrollTop()+this._config.offset,e=this._getScrollHeight(),i=this._config.offset+e-this._getOffsetHeight();if(this._scrollHeight!==e&&this.refresh(),t>=i){const t=this._targets[this._targets.length-1];this._activeTarget!==t&&this._activate(t)}else{if(this._activeTarget&&t0)return this._activeTarget=null,void this._clear();for(let e=this._offsets.length;e--;)this._activeTarget!==this._targets[e]&&t>=this._offsets[e]&&(void 0===this._offsets[e+1]||t`${e}[data-bs-target="${t}"],${e}[href="${t}"]`)),i=V.findOne(e.join(","),this._config.target);i.classList.add(yn),i.classList.contains("dropdown-item")?V.findOne(".dropdown-toggle",i.closest(".dropdown")).classList.add(yn):V.parents(i,".nav, .list-group").forEach((t=>{V.prev(t,".nav-link, .list-group-item").forEach((t=>t.classList.add(yn))),V.prev(t,".nav-item").forEach((t=>{V.children(t,".nav-link").forEach((t=>t.classList.add(yn)))}))})),j.trigger(this._scrollElement,"activate.bs.scrollspy",{relatedTarget:t})}_clear(){V.find(wn,this._config.target).filter((t=>t.classList.contains(yn))).forEach((t=>t.classList.remove(yn)))}static jQueryInterface(t){return this.each((function(){const e=An.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}j.on(window,"load.bs.scrollspy.data-api",(()=>{V.find('[data-bs-spy="scroll"]').forEach((t=>new An(t)))})),g(An);const Tn="active",On="fade",Cn="show",kn=".active",Ln=":scope > li > .active";class xn extends B{static get NAME(){return"tab"}show(){if(this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE&&this._element.classList.contains(Tn))return;let t;const e=n(this._element),i=this._element.closest(".nav, .list-group");if(i){const e="UL"===i.nodeName||"OL"===i.nodeName?Ln:kn;t=V.find(e,i),t=t[t.length-1]}const s=t?j.trigger(t,"hide.bs.tab",{relatedTarget:this._element}):null;if(j.trigger(this._element,"show.bs.tab",{relatedTarget:t}).defaultPrevented||null!==s&&s.defaultPrevented)return;this._activate(this._element,i);const o=()=>{j.trigger(t,"hidden.bs.tab",{relatedTarget:this._element}),j.trigger(this._element,"shown.bs.tab",{relatedTarget:t})};e?this._activate(e,e.parentNode,o):o()}_activate(t,e,i){const n=(!e||"UL"!==e.nodeName&&"OL"!==e.nodeName?V.children(e,kn):V.find(Ln,e))[0],s=i&&n&&n.classList.contains(On),o=()=>this._transitionComplete(t,n,i);n&&s?(n.classList.remove(Cn),this._queueCallback(o,t,!0)):o()}_transitionComplete(t,e,i){if(e){e.classList.remove(Tn);const t=V.findOne(":scope > .dropdown-menu .active",e.parentNode);t&&t.classList.remove(Tn),"tab"===e.getAttribute("role")&&e.setAttribute("aria-selected",!1)}t.classList.add(Tn),"tab"===t.getAttribute("role")&&t.setAttribute("aria-selected",!0),u(t),t.classList.contains(On)&&t.classList.add(Cn);let n=t.parentNode;if(n&&"LI"===n.nodeName&&(n=n.parentNode),n&&n.classList.contains("dropdown-menu")){const e=t.closest(".dropdown");e&&V.find(".dropdown-toggle",e).forEach((t=>t.classList.add(Tn))),t.setAttribute("aria-expanded",!0)}i&&i()}static jQueryInterface(t){return this.each((function(){const e=xn.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}j.on(document,"click.bs.tab.data-api",'[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),c(this)||xn.getOrCreateInstance(this).show()})),g(xn);const Dn="toast",Sn="hide",Nn="show",In="showing",Pn={animation:"boolean",autohide:"boolean",delay:"number"},jn={animation:!0,autohide:!0,delay:5e3};class Mn extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get DefaultType(){return Pn}static get Default(){return jn}static get NAME(){return Dn}show(){j.trigger(this._element,"show.bs.toast").defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(Sn),u(this._element),this._element.classList.add(Nn),this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.remove(In),j.trigger(this._element,"shown.bs.toast"),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this._element.classList.contains(Nn)&&(j.trigger(this._element,"hide.bs.toast").defaultPrevented||(this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.add(Sn),this._element.classList.remove(In),this._element.classList.remove(Nn),j.trigger(this._element,"hidden.bs.toast")}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this._element.classList.contains(Nn)&&this._element.classList.remove(Nn),super.dispose()}_getConfig(t){return t={...jn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}},a(Dn,t,this.constructor.DefaultType),t}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){j.on(this._element,"mouseover.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"mouseout.bs.toast",(t=>this._onInteraction(t,!1))),j.on(this._element,"focusin.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"focusout.bs.toast",(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=Mn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}return R(Mn),g(Mn),{Alert:W,Button:z,Carousel:st,Collapse:pt,Dropdown:hi,Modal:Hi,Offcanvas:Fi,Popover:gn,ScrollSpy:An,Tab:xn,Toast:Mn,Tooltip:un}}));
+//# sourceMappingURL=bootstrap.bundle.min.js.map
\ No newline at end of file
diff --git a/docs/column_api_files/libs/bootstrap/bootstrap-icons.css b/docs/column_api_files/libs/bootstrap/bootstrap-icons.css
new file mode 100644
index 0000000..94f1940
--- /dev/null
+++ b/docs/column_api_files/libs/bootstrap/bootstrap-icons.css
@@ -0,0 +1,2018 @@
+@font-face {
+  font-display: block;
+  font-family: "bootstrap-icons";
+  src: 
+url("./bootstrap-icons.woff?2ab2cbbe07fcebb53bdaa7313bb290f2") format("woff");
+}
+
+.bi::before,
+[class^="bi-"]::before,
+[class*=" bi-"]::before {
+  display: inline-block;
+  font-family: bootstrap-icons !important;
+  font-style: normal;
+  font-weight: normal !important;
+  font-variant: normal;
+  text-transform: none;
+  line-height: 1;
+  vertical-align: -.125em;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+}
+
+.bi-123::before { content: "\f67f"; }
+.bi-alarm-fill::before { content: "\f101"; }
+.bi-alarm::before { content: "\f102"; }
+.bi-align-bottom::before { content: "\f103"; }
+.bi-align-center::before { content: "\f104"; }
+.bi-align-end::before { content: "\f105"; }
+.bi-align-middle::before { content: "\f106"; }
+.bi-align-start::before { content: "\f107"; }
+.bi-align-top::before { content: "\f108"; }
+.bi-alt::before { content: "\f109"; }
+.bi-app-indicator::before { content: "\f10a"; }
+.bi-app::before { content: "\f10b"; }
+.bi-archive-fill::before { content: "\f10c"; }
+.bi-archive::before { content: "\f10d"; }
+.bi-arrow-90deg-down::before { content: "\f10e"; }
+.bi-arrow-90deg-left::before { content: "\f10f"; }
+.bi-arrow-90deg-right::before { content: "\f110"; }
+.bi-arrow-90deg-up::before { content: "\f111"; }
+.bi-arrow-bar-down::before { content: "\f112"; }
+.bi-arrow-bar-left::before { content: "\f113"; }
+.bi-arrow-bar-right::before { content: "\f114"; }
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diff --git a/docs/column_api_files/libs/bootstrap/bootstrap.min.css b/docs/column_api_files/libs/bootstrap/bootstrap.min.css
new file mode 100644
index 0000000..e941a7f
--- /dev/null
+++ b/docs/column_api_files/libs/bootstrap/bootstrap.min.css
@@ -0,0 +1,10 @@
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+ * Copyright 2011-2021 The Bootstrap Authors
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document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._popper&&this._popper.destroy(),this._menu.classList.remove(Je),this._element.classList.remove(Je),this._element.setAttribute("aria-expanded","false"),U.removeDataAttribute(this._menu,"popper"),j.trigger(this._element,"hidden.bs.dropdown",t))}_getConfig(t){if(t={...this.constructor.Default,...U.getDataAttributes(this._element),...t},a(Ue,t,this.constructor.DefaultType),"object"==typeof t.reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ue.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(t){if(void 0===Fe)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let e=this._element;"parent"===this._config.reference?e=t:o(this._config.reference)?e=r(this._config.reference):"object"==typeof this._config.reference&&(e=this._config.reference);const i=this._getPopperConfig(),n=i.modifiers.find((t=>"applyStyles"===t.name&&!1===t.enabled));this._popper=qe(e,this._menu,i),n&&U.setDataAttribute(this._menu,"popper","static")}_isShown(t=this._element){return t.classList.contains(Je)}_getMenuElement(){return V.next(this._element,ei)[0]}_getPlacement(){const t=this._element.parentNode;if(t.classList.contains("dropend"))return ri;if(t.classList.contains("dropstart"))return ai;const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ni:ii:e?oi:si}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return"static"===this._config.display&&(t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=V.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter(l);i.length&&v(i,e,t===Ye,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(t&&(2===t.button||"keyup"===t.type&&"Tab"!==t.key))return;const e=V.find(ti);for(let i=0,n=e.length;ie+t)),this._setElementAttributes(di,"paddingRight",(e=>e+t)),this._setElementAttributes(ui,"marginRight",(e=>e-t))}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t)[e];t.style[e]=`${i(Number.parseFloat(s))}px`}))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,"paddingRight"),this._resetElementAttributes(di,"paddingRight"),this._resetElementAttributes(ui,"marginRight")}_saveInitialAttribute(t,e){const i=t.style[e];i&&U.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=U.getDataAttribute(t,e);void 0===i?t.style.removeProperty(e):(U.removeDataAttribute(t,e),t.style[e]=i)}))}_applyManipulationCallback(t,e){o(t)?e(t):V.find(t,this._element).forEach(e)}isOverflowing(){return this.getWidth()>0}}const pi={className:"modal-backdrop",isVisible:!0,isAnimated:!1,rootElement:"body",clickCallback:null},mi={className:"string",isVisible:"boolean",isAnimated:"boolean",rootElement:"(element|string)",clickCallback:"(function|null)"},gi="show",_i="mousedown.bs.backdrop";class bi{constructor(t){this._config=this._getConfig(t),this._isAppended=!1,this._element=null}show(t){this._config.isVisible?(this._append(),this._config.isAnimated&&u(this._getElement()),this._getElement().classList.add(gi),this._emulateAnimation((()=>{_(t)}))):_(t)}hide(t){this._config.isVisible?(this._getElement().classList.remove(gi),this._emulateAnimation((()=>{this.dispose(),_(t)}))):_(t)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_getConfig(t){return(t={...pi,..."object"==typeof t?t:{}}).rootElement=r(t.rootElement),a("backdrop",t,mi),t}_append(){this._isAppended||(this._config.rootElement.append(this._getElement()),j.on(this._getElement(),_i,(()=>{_(this._config.clickCallback)})),this._isAppended=!0)}dispose(){this._isAppended&&(j.off(this._element,_i),this._element.remove(),this._isAppended=!1)}_emulateAnimation(t){b(t,this._getElement(),this._config.isAnimated)}}const vi={trapElement:null,autofocus:!0},yi={trapElement:"element",autofocus:"boolean"},wi=".bs.focustrap",Ei="backward";class Ai{constructor(t){this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}activate(){const{trapElement:t,autofocus:e}=this._config;this._isActive||(e&&t.focus(),j.off(document,wi),j.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),j.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,j.off(document,wi))}_handleFocusin(t){const{target:e}=t,{trapElement:i}=this._config;if(e===document||e===i||i.contains(e))return;const n=V.focusableChildren(i);0===n.length?i.focus():this._lastTabNavDirection===Ei?n[n.length-1].focus():n[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Ei:"forward")}_getConfig(t){return t={...vi,..."object"==typeof t?t:{}},a("focustrap",t,yi),t}}const Ti="modal",Oi="Escape",Ci={backdrop:!0,keyboard:!0,focus:!0},ki={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean"},Li="hidden.bs.modal",xi="show.bs.modal",Di="resize.bs.modal",Si="click.dismiss.bs.modal",Ni="keydown.dismiss.bs.modal",Ii="mousedown.dismiss.bs.modal",Pi="modal-open",ji="show",Mi="modal-static";class Hi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._dialog=V.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._ignoreBackdropClick=!1,this._isTransitioning=!1,this._scrollBar=new fi}static get Default(){return Ci}static get NAME(){return Ti}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||j.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isAnimated()&&(this._isTransitioning=!0),this._scrollBar.hide(),document.body.classList.add(Pi),this._adjustDialog(),this._setEscapeEvent(),this._setResizeEvent(),j.on(this._dialog,Ii,(()=>{j.one(this._element,"mouseup.dismiss.bs.modal",(t=>{t.target===this._element&&(this._ignoreBackdropClick=!0)}))})),this._showBackdrop((()=>this._showElement(t))))}hide(){if(!this._isShown||this._isTransitioning)return;if(j.trigger(this._element,"hide.bs.modal").defaultPrevented)return;this._isShown=!1;const t=this._isAnimated();t&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),this._focustrap.deactivate(),this._element.classList.remove(ji),j.off(this._element,Si),j.off(this._dialog,Ii),this._queueCallback((()=>this._hideModal()),this._element,t)}dispose(){[window,this._dialog].forEach((t=>j.off(t,".bs.modal"))),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new bi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_getConfig(t){return t={...Ci,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Ti,t,ki),t}_showElement(t){const e=this._isAnimated(),i=V.findOne(".modal-body",this._dialog);this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0,i&&(i.scrollTop=0),e&&u(this._element),this._element.classList.add(ji),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,j.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,e)}_setEscapeEvent(){this._isShown?j.on(this._element,Ni,(t=>{this._config.keyboard&&t.key===Oi?(t.preventDefault(),this.hide()):this._config.keyboard||t.key!==Oi||this._triggerBackdropTransition()})):j.off(this._element,Ni)}_setResizeEvent(){this._isShown?j.on(window,Di,(()=>this._adjustDialog())):j.off(window,Di)}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Pi),this._resetAdjustments(),this._scrollBar.reset(),j.trigger(this._element,Li)}))}_showBackdrop(t){j.on(this._element,Si,(t=>{this._ignoreBackdropClick?this._ignoreBackdropClick=!1:t.target===t.currentTarget&&(!0===this._config.backdrop?this.hide():"static"===this._config.backdrop&&this._triggerBackdropTransition())})),this._backdrop.show(t)}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(j.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const{classList:t,scrollHeight:e,style:i}=this._element,n=e>document.documentElement.clientHeight;!n&&"hidden"===i.overflowY||t.contains(Mi)||(n||(i.overflowY="hidden"),t.add(Mi),this._queueCallback((()=>{t.remove(Mi),n||this._queueCallback((()=>{i.overflowY=""}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;(!i&&t&&!m()||i&&!t&&m())&&(this._element.style.paddingLeft=`${e}px`),(i&&!t&&!m()||!i&&t&&m())&&(this._element.style.paddingRight=`${e}px`)}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}j.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=n(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),j.one(e,xi,(t=>{t.defaultPrevented||j.one(e,Li,(()=>{l(this)&&this.focus()}))}));const i=V.findOne(".modal.show");i&&Hi.getInstance(i).hide(),Hi.getOrCreateInstance(e).toggle(this)})),R(Hi),g(Hi);const Bi="offcanvas",Ri={backdrop:!0,keyboard:!0,scroll:!1},Wi={backdrop:"boolean",keyboard:"boolean",scroll:"boolean"},$i="show",zi=".offcanvas.show",qi="hidden.bs.offcanvas";class Fi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get NAME(){return Bi}static get Default(){return Ri}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||j.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._element.style.visibility="visible",this._backdrop.show(),this._config.scroll||(new fi).hide(),this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($i),this._queueCallback((()=>{this._config.scroll||this._focustrap.activate(),j.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(j.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.remove($i),this._backdrop.hide(),this._queueCallback((()=>{this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._element.style.visibility="hidden",this._config.scroll||(new fi).reset(),j.trigger(this._element,qi)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_getConfig(t){return t={...Ri,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Bi,t,Wi),t}_initializeBackDrop(){return new bi({className:"offcanvas-backdrop",isVisible:this._config.backdrop,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:()=>this.hide()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_addEventListeners(){j.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{this._config.keyboard&&"Escape"===t.key&&this.hide()}))}static jQueryInterface(t){return this.each((function(){const e=Fi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}j.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=n(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),c(this))return;j.one(e,qi,(()=>{l(this)&&this.focus()}));const i=V.findOne(zi);i&&i!==e&&Fi.getInstance(i).hide(),Fi.getOrCreateInstance(e).toggle(this)})),j.on(window,"load.bs.offcanvas.data-api",(()=>V.find(zi).forEach((t=>Fi.getOrCreateInstance(t).show())))),R(Fi),g(Fi);const Ui=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Vi=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Ki=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Xi=(t,e)=>{const i=t.nodeName.toLowerCase();if(e.includes(i))return!Ui.has(i)||Boolean(Vi.test(t.nodeValue)||Ki.test(t.nodeValue));const n=e.filter((t=>t instanceof RegExp));for(let t=0,e=n.length;t{Xi(t,r)||i.removeAttribute(t.nodeName)}))}return n.body.innerHTML}const Qi="tooltip",Gi=new Set(["sanitize","allowList","sanitizeFn"]),Zi={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"(array|string|function)",container:"(string|element|boolean)",fallbackPlacements:"array",boundary:"(string|element)",customClass:"(string|function)",sanitize:"boolean",sanitizeFn:"(null|function)",allowList:"object",popperConfig:"(null|object|function)"},Ji={AUTO:"auto",TOP:"top",RIGHT:m()?"left":"right",BOTTOM:"bottom",LEFT:m()?"right":"left"},tn={animation:!0,template:'
              ',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:[0,0],container:!1,fallbackPlacements:["top","right","bottom","left"],boundary:"clippingParents",customClass:"",sanitize:!0,sanitizeFn:null,allowList:{"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},popperConfig:null},en={HIDE:"hide.bs.tooltip",HIDDEN:"hidden.bs.tooltip",SHOW:"show.bs.tooltip",SHOWN:"shown.bs.tooltip",INSERTED:"inserted.bs.tooltip",CLICK:"click.bs.tooltip",FOCUSIN:"focusin.bs.tooltip",FOCUSOUT:"focusout.bs.tooltip",MOUSEENTER:"mouseenter.bs.tooltip",MOUSELEAVE:"mouseleave.bs.tooltip"},nn="fade",sn="show",on="show",rn="out",an=".tooltip-inner",ln=".modal",cn="hide.bs.modal",hn="hover",dn="focus";class un extends B{constructor(t,e){if(void 0===Fe)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t),this._isEnabled=!0,this._timeout=0,this._hoverState="",this._activeTrigger={},this._popper=null,this._config=this._getConfig(e),this.tip=null,this._setListeners()}static get Default(){return tn}static get NAME(){return Qi}static get Event(){return en}static get DefaultType(){return Zi}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(t){if(this._isEnabled)if(t){const e=this._initializeOnDelegatedTarget(t);e._activeTrigger.click=!e._activeTrigger.click,e._isWithActiveTrigger()?e._enter(null,e):e._leave(null,e)}else{if(this.getTipElement().classList.contains(sn))return void this._leave(null,this);this._enter(null,this)}}dispose(){clearTimeout(this._timeout),j.off(this._element.closest(ln),cn,this._hideModalHandler),this.tip&&this.tip.remove(),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this.isWithContent()||!this._isEnabled)return;const t=j.trigger(this._element,this.constructor.Event.SHOW),e=h(this._element),i=null===e?this._element.ownerDocument.documentElement.contains(this._element):e.contains(this._element);if(t.defaultPrevented||!i)return;"tooltip"===this.constructor.NAME&&this.tip&&this.getTitle()!==this.tip.querySelector(an).innerHTML&&(this._disposePopper(),this.tip.remove(),this.tip=null);const n=this.getTipElement(),s=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME);n.setAttribute("id",s),this._element.setAttribute("aria-describedby",s),this._config.animation&&n.classList.add(nn);const o="function"==typeof this._config.placement?this._config.placement.call(this,n,this._element):this._config.placement,r=this._getAttachment(o);this._addAttachmentClass(r);const{container:a}=this._config;H.set(n,this.constructor.DATA_KEY,this),this._element.ownerDocument.documentElement.contains(this.tip)||(a.append(n),j.trigger(this._element,this.constructor.Event.INSERTED)),this._popper?this._popper.update():this._popper=qe(this._element,n,this._getPopperConfig(r)),n.classList.add(sn);const l=this._resolvePossibleFunction(this._config.customClass);l&&n.classList.add(...l.split(" ")),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>{j.on(t,"mouseover",d)}));const c=this.tip.classList.contains(nn);this._queueCallback((()=>{const t=this._hoverState;this._hoverState=null,j.trigger(this._element,this.constructor.Event.SHOWN),t===rn&&this._leave(null,this)}),this.tip,c)}hide(){if(!this._popper)return;const t=this.getTipElement();if(j.trigger(this._element,this.constructor.Event.HIDE).defaultPrevented)return;t.classList.remove(sn),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1;const e=this.tip.classList.contains(nn);this._queueCallback((()=>{this._isWithActiveTrigger()||(this._hoverState!==on&&t.remove(),this._cleanTipClass(),this._element.removeAttribute("aria-describedby"),j.trigger(this._element,this.constructor.Event.HIDDEN),this._disposePopper())}),this.tip,e),this._hoverState=""}update(){null!==this._popper&&this._popper.update()}isWithContent(){return Boolean(this.getTitle())}getTipElement(){if(this.tip)return this.tip;const t=document.createElement("div");t.innerHTML=this._config.template;const e=t.children[0];return this.setContent(e),e.classList.remove(nn,sn),this.tip=e,this.tip}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),an)}_sanitizeAndSetContent(t,e,i){const n=V.findOne(i,t);e||!n?this.setElementContent(n,e):n.remove()}setElementContent(t,e){if(null!==t)return o(e)?(e=r(e),void(this._config.html?e.parentNode!==t&&(t.innerHTML="",t.append(e)):t.textContent=e.textContent)):void(this._config.html?(this._config.sanitize&&(e=Yi(e,this._config.allowList,this._config.sanitizeFn)),t.innerHTML=e):t.textContent=e)}getTitle(){const t=this._element.getAttribute("data-bs-original-title")||this._config.title;return this._resolvePossibleFunction(t)}updateAttachment(t){return"right"===t?"end":"left"===t?"start":t}_initializeOnDelegatedTarget(t,e){return e||this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"onChange",enabled:!0,phase:"afterWrite",fn:t=>this._handlePopperPlacementChange(t)}],onFirstUpdate:t=>{t.options.placement!==t.placement&&this._handlePopperPlacementChange(t)}};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_addAttachmentClass(t){this.getTipElement().classList.add(`${this._getBasicClassPrefix()}-${this.updateAttachment(t)}`)}_getAttachment(t){return Ji[t.toUpperCase()]}_setListeners(){this._config.trigger.split(" ").forEach((t=>{if("click"===t)j.on(this._element,this.constructor.Event.CLICK,this._config.selector,(t=>this.toggle(t)));else if("manual"!==t){const e=t===hn?this.constructor.Event.MOUSEENTER:this.constructor.Event.FOCUSIN,i=t===hn?this.constructor.Event.MOUSELEAVE:this.constructor.Event.FOCUSOUT;j.on(this._element,e,this._config.selector,(t=>this._enter(t))),j.on(this._element,i,this._config.selector,(t=>this._leave(t)))}})),this._hideModalHandler=()=>{this._element&&this.hide()},j.on(this._element.closest(ln),cn,this._hideModalHandler),this._config.selector?this._config={...this._config,trigger:"manual",selector:""}:this._fixTitle()}_fixTitle(){const t=this._element.getAttribute("title"),e=typeof this._element.getAttribute("data-bs-original-title");(t||"string"!==e)&&(this._element.setAttribute("data-bs-original-title",t||""),!t||this._element.getAttribute("aria-label")||this._element.textContent||this._element.setAttribute("aria-label",t),this._element.setAttribute("title",""))}_enter(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusin"===t.type?dn:hn]=!0),e.getTipElement().classList.contains(sn)||e._hoverState===on?e._hoverState=on:(clearTimeout(e._timeout),e._hoverState=on,e._config.delay&&e._config.delay.show?e._timeout=setTimeout((()=>{e._hoverState===on&&e.show()}),e._config.delay.show):e.show())}_leave(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusout"===t.type?dn:hn]=e._element.contains(t.relatedTarget)),e._isWithActiveTrigger()||(clearTimeout(e._timeout),e._hoverState=rn,e._config.delay&&e._config.delay.hide?e._timeout=setTimeout((()=>{e._hoverState===rn&&e.hide()}),e._config.delay.hide):e.hide())}_isWithActiveTrigger(){for(const 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Dn="toast",Sn="hide",Nn="show",In="showing",Pn={animation:"boolean",autohide:"boolean",delay:"number"},jn={animation:!0,autohide:!0,delay:5e3};class Mn extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get DefaultType(){return Pn}static get Default(){return jn}static get NAME(){return 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t&&t?t:{}},a(Dn,t,this.constructor.DefaultType),t}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){j.on(this._element,"mouseover.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"mouseout.bs.toast",(t=>this._onInteraction(t,!1))),j.on(this._element,"focusin.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"focusout.bs.toast",(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=Mn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}return R(Mn),g(Mn),{Alert:W,Button:z,Carousel:st,Collapse:pt,Dropdown:hi,Modal:Hi,Offcanvas:Fi,Popover:gn,ScrollSpy:An,Tab:xn,Toast:Mn,Tooltip:un}}));
+//# sourceMappingURL=bootstrap.bundle.min.js.map
\ No newline at end of file
diff --git a/docs/column_api_files/libs/clipboard/clipboard.min.js b/docs/column_api_files/libs/clipboard/clipboard.min.js
new file mode 100644
index 0000000..1103f81
--- /dev/null
+++ b/docs/column_api_files/libs/clipboard/clipboard.min.js
@@ -0,0 +1,7 @@
+/*!
+ * clipboard.js v2.0.11
+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
+ */
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return b}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),r=n.n(e);function c(t){try{return document.execCommand(t)}catch(t){return}}var a=function(t){t=r()(t);return c("cut"),t};function o(t,e){var n,o,t=(n=t,o="rtl"===document.documentElement.getAttribute("dir"),(t=document.createElement("textarea")).style.fontSize="12pt",t.style.border="0",t.style.padding="0",t.style.margin="0",t.style.position="absolute",t.style[o?"right":"left"]="-9999px",o=window.pageYOffset||document.documentElement.scrollTop,t.style.top="".concat(o,"px"),t.setAttribute("readonly",""),t.value=n,t);return e.container.appendChild(t),e=r()(t),c("copy"),t.remove(),e}var f=function(t){var e=1.anchorjs-link,.anchorjs-link:focus{opacity:1}",u.sheet.cssRules.length),u.sheet.insertRule("[data-anchorjs-icon]::after{content:attr(data-anchorjs-icon)}",u.sheet.cssRules.length),u.sheet.insertRule('@font-face{font-family:anchorjs-icons;src:url(data:n/a;base64,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) format("truetype")}',u.sheet.cssRules.length)),u=document.querySelectorAll("[id]"),t=[].map.call(u,function(A){return A.id}),i=0;i\]./()*\\\n\t\b\v\u00A0]/g,"-").replace(/-{2,}/g,"-").substring(0,this.options.truncate).replace(/^-+|-+$/gm,"").toLowerCase()},this.hasAnchorJSLink=function(A){var e=A.firstChild&&-1<(" "+A.firstChild.className+" ").indexOf(" anchorjs-link "),A=A.lastChild&&-1<(" "+A.lastChild.className+" ").indexOf(" anchorjs-link ");return e||A||!1}}});
+// @license-end
\ No newline at end of file
diff --git a/docs/column_api_files/libs/quarto-html/popper.min.js b/docs/column_api_files/libs/quarto-html/popper.min.js
new file mode 100644
index 0000000..2269d66
--- /dev/null
+++ b/docs/column_api_files/libs/quarto-html/popper.min.js
@@ -0,0 +1,6 @@
+/**
+ * @popperjs/core v2.11.4 - MIT License
+ */
+
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).Popper={})}(this,(function(e){"use strict";function t(e){if(null==e)return window;if("[object Window]"!==e.toString()){var t=e.ownerDocument;return t&&t.defaultView||window}return e}function n(e){return e instanceof t(e).Element||e instanceof Element}function r(e){return e instanceof t(e).HTMLElement||e instanceof HTMLElement}function o(e){return"undefined"!=typeof ShadowRoot&&(e instanceof t(e).ShadowRoot||e instanceof ShadowRoot)}var i=Math.max,a=Math.min,s=Math.round;function f(e,t){void 0===t&&(t=!1);var n=e.getBoundingClientRect(),o=1,i=1;if(r(e)&&t){var a=e.offsetHeight,f=e.offsetWidth;f>0&&(o=s(n.width)/f||1),a>0&&(i=s(n.height)/a||1)}return{width:n.width/o,height:n.height/i,top:n.top/i,right:n.right/o,bottom:n.bottom/i,left:n.left/o,x:n.left/o,y:n.top/i}}function c(e){var 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+
diff --git a/docs/column_api_files/libs/quarto-html/quarto-syntax-highlighting.css b/docs/column_api_files/libs/quarto-html/quarto-syntax-highlighting.css
new file mode 100644
index 0000000..446b4e0
--- /dev/null
+++ b/docs/column_api_files/libs/quarto-html/quarto-syntax-highlighting.css
@@ -0,0 +1,189 @@
+/* quarto syntax highlight colors */
+:root {
+  --quarto-hl-kw-color: #859900;
+  --quarto-hl-fu-color: #268bd2;
+  --quarto-hl-va-color: #268bd2;
+  --quarto-hl-cf-color: #859900;
+  --quarto-hl-op-color: #859900;
+  --quarto-hl-bu-color: #cb4b16;
+  --quarto-hl-ex-color: #268bd2;
+  --quarto-hl-pp-color: #cb4b16;
+  --quarto-hl-at-color: #268bd2;
+  --quarto-hl-ch-color: #2aa198;
+  --quarto-hl-sc-color: #dc322f;
+  --quarto-hl-st-color: #2aa198;
+  --quarto-hl-vs-color: #2aa198;
+  --quarto-hl-ss-color: #dc322f;
+  --quarto-hl-im-color: #2aa198;
+  --quarto-hl-dt-color: #b58900;
+  --quarto-hl-dv-color: #2aa198;
+  --quarto-hl-bn-color: #2aa198;
+  --quarto-hl-fl-color: #2aa198;
+  --quarto-hl-cn-color: #2aa198;
+  --quarto-hl-co-color: #93a1a1;
+  --quarto-hl-do-color: #dc322f;
+  --quarto-hl-an-color: #268bd2;
+  --quarto-hl-cv-color: #2aa198;
+  --quarto-hl-re-color: #268bd2;
+  --quarto-hl-in-color: #b58900;
+  --quarto-hl-wa-color: #cb4b16;
+  --quarto-hl-al-color: #d33682;
+  --quarto-hl-er-color: #dc322f;
+}
+
+/* other quarto variables */
+:root {
+  --quarto-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
+}
+
+pre > code.sourceCode > span {
+  color: #657b83;
+  font-style: inherit;
+}
+
+code span {
+  color: #657b83;
+  font-style: inherit;
+}
+
+code.sourceCode > span {
+  color: #657b83;
+  font-style: inherit;
+}
+
+div.sourceCode,
+div.sourceCode pre.sourceCode {
+  color: #657b83;
+  font-style: inherit;
+}
+
+code span.kw {
+  color: #859900;
+  font-weight: bold;
+}
+
+code span.fu {
+  color: #268bd2;
+}
+
+code span.va {
+  color: #268bd2;
+}
+
+code span.cf {
+  color: #859900;
+  font-weight: bold;
+}
+
+code span.op {
+  color: #859900;
+}
+
+code span.bu {
+  color: #cb4b16;
+}
+
+code span.ex {
+  color: #268bd2;
+  font-weight: bold;
+}
+
+code span.pp {
+  color: #cb4b16;
+}
+
+code span.at {
+  color: #268bd2;
+}
+
+code span.ch {
+  color: #2aa198;
+}
+
+code span.sc {
+  color: #dc322f;
+}
+
+code span.st {
+  color: #2aa198;
+}
+
+code span.vs {
+  color: #2aa198;
+}
+
+code span.ss {
+  color: #dc322f;
+}
+
+code span.im {
+  color: #2aa198;
+}
+
+code span.dt {
+  color: #b58900;
+  font-weight: bold;
+}
+
+code span.dv {
+  color: #2aa198;
+}
+
+code span.bn {
+  color: #2aa198;
+}
+
+code span.fl {
+  color: #2aa198;
+}
+
+code span.cn {
+  color: #2aa198;
+  font-weight: bold;
+}
+
+code span.co {
+  color: #93a1a1;
+  font-style: italic;
+}
+
+code span.do {
+  color: #dc322f;
+}
+
+code span.an {
+  color: #268bd2;
+}
+
+code span.cv {
+  color: #2aa198;
+}
+
+code span.re {
+  color: #268bd2;
+  background-color: #eee8d5;
+}
+
+code span.in {
+  color: #b58900;
+}
+
+code span.wa {
+  color: #cb4b16;
+}
+
+code span.al {
+  color: #d33682;
+  font-weight: bold;
+}
+
+code span.er {
+  color: #dc322f;
+  text-decoration: underline;
+}
+
+.prevent-inlining {
+  content: " {
+  // Find any conflicting margin elements and add margins to the
+  // top to prevent overlap
+  const marginChildren = window.document.querySelectorAll(
+    ".column-margin.column-container > * "
+  );
+
+  let lastBottom = 0;
+  for (const marginChild of marginChildren) {
+    if (marginChild.offsetParent !== null) {
+      // clear the top margin so we recompute it
+      marginChild.style.marginTop = null;
+      const top = marginChild.getBoundingClientRect().top + window.scrollY;
+      console.log({
+        childtop: marginChild.getBoundingClientRect().top,
+        scroll: window.scrollY,
+        top,
+        lastBottom,
+      });
+      if (top < lastBottom) {
+        const margin = lastBottom - top;
+        marginChild.style.marginTop = `${margin}px`;
+      }
+      const styles = window.getComputedStyle(marginChild);
+      const marginTop = parseFloat(styles["marginTop"]);
+
+      console.log({
+        top,
+        height: marginChild.getBoundingClientRect().height,
+        marginTop,
+        total: top + marginChild.getBoundingClientRect().height + marginTop,
+      });
+      lastBottom = top + marginChild.getBoundingClientRect().height + marginTop;
+    }
+  }
+};
+
+window.document.addEventListener("DOMContentLoaded", function (_event) {
+  // Recompute the position of margin elements anytime the body size changes
+  if (window.ResizeObserver) {
+    const resizeObserver = new window.ResizeObserver(
+      throttle(layoutMarginEls, 50)
+    );
+    resizeObserver.observe(window.document.body);
+  }
+
+  const tocEl = window.document.querySelector('nav.toc-active[role="doc-toc"]');
+  const sidebarEl = window.document.getElementById("quarto-sidebar");
+  const leftTocEl = window.document.getElementById("quarto-sidebar-toc-left");
+  const marginSidebarEl = window.document.getElementById(
+    "quarto-margin-sidebar"
+  );
+  // function to determine whether the element has a previous sibling that is active
+  const prevSiblingIsActiveLink = (el) => {
+    const sibling = el.previousElementSibling;
+    if (sibling && sibling.tagName === "A") {
+      return sibling.classList.contains("active");
+    } else {
+      return false;
+    }
+  };
+
+  // fire slideEnter for bootstrap tab activations (for htmlwidget resize behavior)
+  function fireSlideEnter(e) {
+    const event = window.document.createEvent("Event");
+    event.initEvent("slideenter", true, true);
+    window.document.dispatchEvent(event);
+  }
+  const tabs = window.document.querySelectorAll('a[data-bs-toggle="tab"]');
+  tabs.forEach((tab) => {
+    tab.addEventListener("shown.bs.tab", fireSlideEnter);
+  });
+
+  // fire slideEnter for tabby tab activations (for htmlwidget resize behavior)
+  document.addEventListener("tabby", fireSlideEnter, false);
+
+  // Track scrolling and mark TOC links as active
+  // get table of contents and sidebar (bail if we don't have at least one)
+  const tocLinks = tocEl
+    ? [...tocEl.querySelectorAll("a[data-scroll-target]")]
+    : [];
+  const makeActive = (link) => tocLinks[link].classList.add("active");
+  const removeActive = (link) => tocLinks[link].classList.remove("active");
+  const removeAllActive = () =>
+    [...Array(tocLinks.length).keys()].forEach((link) => removeActive(link));
+
+  // activate the anchor for a section associated with this TOC entry
+  tocLinks.forEach((link) => {
+    link.addEventListener("click", () => {
+      if (link.href.indexOf("#") !== -1) {
+        const anchor = link.href.split("#")[1];
+        const heading = window.document.querySelector(
+          `[data-anchor-id=${anchor}]`
+        );
+        if (heading) {
+          // Add the class
+          heading.classList.add("reveal-anchorjs-link");
+
+          // function to show the anchor
+          const handleMouseout = () => {
+            heading.classList.remove("reveal-anchorjs-link");
+            heading.removeEventListener("mouseout", handleMouseout);
+          };
+
+          // add a function to clear the anchor when the user mouses out of it
+          heading.addEventListener("mouseout", handleMouseout);
+        }
+      }
+    });
+  });
+
+  const sections = tocLinks.map((link) => {
+    const target = link.getAttribute("data-scroll-target");
+    if (target.startsWith("#")) {
+      return window.document.getElementById(decodeURI(`${target.slice(1)}`));
+    } else {
+      return window.document.querySelector(decodeURI(`${target}`));
+    }
+  });
+
+  const sectionMargin = 200;
+  let currentActive = 0;
+  // track whether we've initialized state the first time
+  let init = false;
+
+  const updateActiveLink = () => {
+    // The index from bottom to top (e.g. reversed list)
+    let sectionIndex = -1;
+    if (
+      window.innerHeight + window.pageYOffset >=
+      window.document.body.offsetHeight
+    ) {
+      sectionIndex = 0;
+    } else {
+      sectionIndex = [...sections].reverse().findIndex((section) => {
+        if (section) {
+          return window.pageYOffset >= section.offsetTop - sectionMargin;
+        } else {
+          return false;
+        }
+      });
+    }
+    if (sectionIndex > -1) {
+      const current = sections.length - sectionIndex - 1;
+      if (current !== currentActive) {
+        removeAllActive();
+        currentActive = current;
+        makeActive(current);
+        if (init) {
+          window.dispatchEvent(sectionChanged);
+        }
+        init = true;
+      }
+    }
+  };
+
+  const inHiddenRegion = (top, bottom, hiddenRegions) => {
+    for (const region of hiddenRegions) {
+      if (top <= region.bottom && bottom >= region.top) {
+        return true;
+      }
+    }
+    return false;
+  };
+
+  const categorySelector = "header.quarto-title-block .quarto-category";
+  const activateCategories = (href) => {
+    // Find any categories
+    // Surround them with a link pointing back to:
+    // #category=Authoring
+    try {
+      const categoryEls = window.document.querySelectorAll(categorySelector);
+      for (const categoryEl of categoryEls) {
+        const categoryText = categoryEl.textContent;
+        if (categoryText) {
+          const link = `${href}#category=${encodeURIComponent(categoryText)}`;
+          const linkEl = window.document.createElement("a");
+          linkEl.setAttribute("href", link);
+          for (const child of categoryEl.childNodes) {
+            linkEl.append(child);
+          }
+          categoryEl.appendChild(linkEl);
+        }
+      }
+    } catch {
+      // Ignore errors
+    }
+  };
+  function hasTitleCategories() {
+    return window.document.querySelector(categorySelector) !== null;
+  }
+
+  function offsetRelativeUrl(url) {
+    const offset = getMeta("quarto:offset");
+    return offset ? offset + url : url;
+  }
+
+  function offsetAbsoluteUrl(url) {
+    const offset = getMeta("quarto:offset");
+    const baseUrl = new URL(offset, window.location);
+
+    const projRelativeUrl = url.replace(baseUrl, "");
+    if (projRelativeUrl.startsWith("/")) {
+      return projRelativeUrl;
+    } else {
+      return "/" + projRelativeUrl;
+    }
+  }
+
+  // read a meta tag value
+  function getMeta(metaName) {
+    const metas = window.document.getElementsByTagName("meta");
+    for (let i = 0; i < metas.length; i++) {
+      if (metas[i].getAttribute("name") === metaName) {
+        return metas[i].getAttribute("content");
+      }
+    }
+    return "";
+  }
+
+  async function findAndActivateCategories() {
+    const currentPagePath = offsetAbsoluteUrl(window.location.href);
+    const response = await fetch(offsetRelativeUrl("listings.json"));
+    if (response.status == 200) {
+      return response.json().then(function (listingPaths) {
+        const listingHrefs = [];
+        for (const listingPath of listingPaths) {
+          const pathWithoutLeadingSlash = listingPath.listing.substring(1);
+          for (const item of listingPath.items) {
+            if (
+              item === currentPagePath ||
+              item === currentPagePath + "index.html"
+            ) {
+              // Resolve this path against the offset to be sure
+              // we already are using the correct path to the listing
+              // (this adjusts the listing urls to be rooted against
+              // whatever root the page is actually running against)
+              const relative = offsetRelativeUrl(pathWithoutLeadingSlash);
+              const baseUrl = window.location;
+              const resolvedPath = new URL(relative, baseUrl);
+              listingHrefs.push(resolvedPath.pathname);
+              break;
+            }
+          }
+        }
+
+        // Look up the tree for a nearby linting and use that if we find one
+        const nearestListing = findNearestParentListing(
+          offsetAbsoluteUrl(window.location.pathname),
+          listingHrefs
+        );
+        if (nearestListing) {
+          activateCategories(nearestListing);
+        } else {
+          // See if the referrer is a listing page for this item
+          const referredRelativePath = offsetAbsoluteUrl(document.referrer);
+          const referrerListing = listingHrefs.find((listingHref) => {
+            const isListingReferrer =
+              listingHref === referredRelativePath ||
+              listingHref === referredRelativePath + "index.html";
+            return isListingReferrer;
+          });
+
+          if (referrerListing) {
+            // Try to use the referrer if possible
+            activateCategories(referrerListing);
+          } else if (listingHrefs.length > 0) {
+            // Otherwise, just fall back to the first listing
+            activateCategories(listingHrefs[0]);
+          }
+        }
+      });
+    }
+  }
+  if (hasTitleCategories()) {
+    findAndActivateCategories();
+  }
+
+  const findNearestParentListing = (href, listingHrefs) => {
+    if (!href || !listingHrefs) {
+      return undefined;
+    }
+    // Look up the tree for a nearby linting and use that if we find one
+    const relativeParts = href.substring(1).split("/");
+    while (relativeParts.length > 0) {
+      const path = relativeParts.join("/");
+      for (const listingHref of listingHrefs) {
+        if (listingHref.startsWith(path)) {
+          return listingHref;
+        }
+      }
+      relativeParts.pop();
+    }
+
+    return undefined;
+  };
+
+  const manageSidebarVisiblity = (el, placeholderDescriptor) => {
+    let isVisible = true;
+    let elRect;
+
+    return (hiddenRegions) => {
+      if (el === null) {
+        return;
+      }
+
+      // Find the last element of the TOC
+      const lastChildEl = el.lastElementChild;
+
+      if (lastChildEl) {
+        // Converts the sidebar to a menu
+        const convertToMenu = () => {
+          for (const child of el.children) {
+            child.style.opacity = 0;
+            child.style.overflow = "hidden";
+          }
+
+          nexttick(() => {
+            const toggleContainer = window.document.createElement("div");
+            toggleContainer.style.width = "100%";
+            toggleContainer.classList.add("zindex-over-content");
+            toggleContainer.classList.add("quarto-sidebar-toggle");
+            toggleContainer.classList.add("headroom-target"); // Marks this to be managed by headeroom
+            toggleContainer.id = placeholderDescriptor.id;
+            toggleContainer.style.position = "fixed";
+
+            const toggleIcon = window.document.createElement("i");
+            toggleIcon.classList.add("quarto-sidebar-toggle-icon");
+            toggleIcon.classList.add("bi");
+            toggleIcon.classList.add("bi-caret-down-fill");
+
+            const toggleTitle = window.document.createElement("div");
+            const titleEl = window.document.body.querySelector(
+              placeholderDescriptor.titleSelector
+            );
+            if (titleEl) {
+              toggleTitle.append(
+                titleEl.textContent || titleEl.innerText,
+                toggleIcon
+              );
+            }
+            toggleTitle.classList.add("zindex-over-content");
+            toggleTitle.classList.add("quarto-sidebar-toggle-title");
+            toggleContainer.append(toggleTitle);
+
+            const toggleContents = window.document.createElement("div");
+            toggleContents.classList = el.classList;
+            toggleContents.classList.add("zindex-over-content");
+            toggleContents.classList.add("quarto-sidebar-toggle-contents");
+            for (const child of el.children) {
+              if (child.id === "toc-title") {
+                continue;
+              }
+
+              const clone = child.cloneNode(true);
+              clone.style.opacity = 1;
+              clone.style.display = null;
+              toggleContents.append(clone);
+            }
+            toggleContents.style.height = "0px";
+            const positionToggle = () => {
+              // position the element (top left of parent, same width as parent)
+              if (!elRect) {
+                elRect = el.getBoundingClientRect();
+              }
+              toggleContainer.style.left = `${elRect.left}px`;
+              toggleContainer.style.top = `${elRect.top}px`;
+              toggleContainer.style.width = `${elRect.width}px`;
+            };
+            positionToggle();
+
+            toggleContainer.append(toggleContents);
+            el.parentElement.prepend(toggleContainer);
+
+            // Process clicks
+            let tocShowing = false;
+            // Allow the caller to control whether this is dismissed
+            // when it is clicked (e.g. sidebar navigation supports
+            // opening and closing the nav tree, so don't dismiss on click)
+            const clickEl = placeholderDescriptor.dismissOnClick
+              ? toggleContainer
+              : toggleTitle;
+
+            const closeToggle = () => {
+              if (tocShowing) {
+                toggleContainer.classList.remove("expanded");
+                toggleContents.style.height = "0px";
+                tocShowing = false;
+              }
+            };
+
+            // Get rid of any expanded toggle if the user scrolls
+            window.document.addEventListener(
+              "scroll",
+              throttle(() => {
+                closeToggle();
+              }, 50)
+            );
+
+            // Handle positioning of the toggle
+            window.addEventListener(
+              "resize",
+              throttle(() => {
+                elRect = undefined;
+                positionToggle();
+              }, 50)
+            );
+
+            window.addEventListener("quarto-hrChanged", () => {
+              elRect = undefined;
+            });
+
+            // Process the click
+            clickEl.onclick = () => {
+              if (!tocShowing) {
+                toggleContainer.classList.add("expanded");
+                toggleContents.style.height = null;
+                tocShowing = true;
+              } else {
+                closeToggle();
+              }
+            };
+          });
+        };
+
+        // Converts a sidebar from a menu back to a sidebar
+        const convertToSidebar = () => {
+          for (const child of el.children) {
+            child.style.opacity = 1;
+            child.style.overflow = null;
+          }
+
+          const placeholderEl = window.document.getElementById(
+            placeholderDescriptor.id
+          );
+          if (placeholderEl) {
+            placeholderEl.remove();
+          }
+
+          el.classList.remove("rollup");
+        };
+
+        if (isReaderMode()) {
+          convertToMenu();
+          isVisible = false;
+        } else {
+          // Find the top and bottom o the element that is being managed
+          const elTop = el.offsetTop;
+          const elBottom =
+            elTop + lastChildEl.offsetTop + lastChildEl.offsetHeight;
+
+          if (!isVisible) {
+            // If the element is current not visible reveal if there are
+            // no conflicts with overlay regions
+            if (!inHiddenRegion(elTop, elBottom, hiddenRegions)) {
+              convertToSidebar();
+              isVisible = true;
+            }
+          } else {
+            // If the element is visible, hide it if it conflicts with overlay regions
+            // and insert a placeholder toggle (or if we're in reader mode)
+            if (inHiddenRegion(elTop, elBottom, hiddenRegions)) {
+              convertToMenu();
+              isVisible = false;
+            }
+          }
+        }
+      }
+    };
+  };
+
+  const tabEls = document.querySelectorAll('a[data-bs-toggle="tab"]');
+  for (const tabEl of tabEls) {
+    const id = tabEl.getAttribute("data-bs-target");
+    if (id) {
+      const columnEl = document.querySelector(
+        `${id} .column-margin, .tabset-margin-content`
+      );
+      if (columnEl)
+        tabEl.addEventListener("shown.bs.tab", function (event) {
+          const el = event.srcElement;
+          if (el) {
+            const visibleCls = `${el.id}-margin-content`;
+            // walk up until we find a parent tabset
+            let panelTabsetEl = el.parentElement;
+            while (panelTabsetEl) {
+              if (panelTabsetEl.classList.contains("panel-tabset")) {
+                break;
+              }
+              panelTabsetEl = panelTabsetEl.parentElement;
+            }
+
+            if (panelTabsetEl) {
+              const prevSib = panelTabsetEl.previousElementSibling;
+              if (
+                prevSib &&
+                prevSib.classList.contains("tabset-margin-container")
+              ) {
+                const childNodes = prevSib.querySelectorAll(
+                  ".tabset-margin-content"
+                );
+                for (const childEl of childNodes) {
+                  if (childEl.classList.contains(visibleCls)) {
+                    childEl.classList.remove("collapse");
+                  } else {
+                    childEl.classList.add("collapse");
+                  }
+                }
+              }
+            }
+          }
+
+          layoutMarginEls();
+        });
+    }
+  }
+
+  // Manage the visibility of the toc and the sidebar
+  const marginScrollVisibility = manageSidebarVisiblity(marginSidebarEl, {
+    id: "quarto-toc-toggle",
+    titleSelector: "#toc-title",
+    dismissOnClick: true,
+  });
+  const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, {
+    id: "quarto-sidebarnav-toggle",
+    titleSelector: ".title",
+    dismissOnClick: false,
+  });
+  let tocLeftScrollVisibility;
+  if (leftTocEl) {
+    tocLeftScrollVisibility = manageSidebarVisiblity(leftTocEl, {
+      id: "quarto-lefttoc-toggle",
+      titleSelector: "#toc-title",
+      dismissOnClick: true,
+    });
+  }
+
+  // Find the first element that uses formatting in special columns
+  const conflictingEls = window.document.body.querySelectorAll(
+    '[class^="column-"], [class*=" column-"], aside, [class*="margin-caption"], [class*=" margin-caption"], [class*="margin-ref"], [class*=" margin-ref"]'
+  );
+
+  // Filter all the possibly conflicting elements into ones
+  // the do conflict on the left or ride side
+  const arrConflictingEls = Array.from(conflictingEls);
+  const leftSideConflictEls = arrConflictingEls.filter((el) => {
+    if (el.tagName === "ASIDE") {
+      return false;
+    }
+    return Array.from(el.classList).find((className) => {
+      return (
+        className !== "column-body" &&
+        className.startsWith("column-") &&
+        !className.endsWith("right") &&
+        !className.endsWith("container") &&
+        className !== "column-margin"
+      );
+    });
+  });
+  const rightSideConflictEls = arrConflictingEls.filter((el) => {
+    if (el.tagName === "ASIDE") {
+      return true;
+    }
+
+    const hasMarginCaption = Array.from(el.classList).find((className) => {
+      return className == "margin-caption";
+    });
+    if (hasMarginCaption) {
+      return true;
+    }
+
+    return Array.from(el.classList).find((className) => {
+      return (
+        className !== "column-body" &&
+        !className.endsWith("container") &&
+        className.startsWith("column-") &&
+        !className.endsWith("left")
+      );
+    });
+  });
+
+  const kOverlapPaddingSize = 10;
+  function toRegions(els) {
+    return els.map((el) => {
+      const boundRect = el.getBoundingClientRect();
+      const top =
+        boundRect.top +
+        document.documentElement.scrollTop -
+        kOverlapPaddingSize;
+      return {
+        top,
+        bottom: top + el.scrollHeight + 2 * kOverlapPaddingSize,
+      };
+    });
+  }
+
+  let hasObserved = false;
+  const visibleItemObserver = (els) => {
+    let visibleElements = [...els];
+    const intersectionObserver = new IntersectionObserver(
+      (entries, _observer) => {
+        entries.forEach((entry) => {
+          if (entry.isIntersecting) {
+            if (visibleElements.indexOf(entry.target) === -1) {
+              visibleElements.push(entry.target);
+            }
+          } else {
+            visibleElements = visibleElements.filter((visibleEntry) => {
+              return visibleEntry !== entry;
+            });
+          }
+        });
+
+        if (!hasObserved) {
+          hideOverlappedSidebars();
+        }
+        hasObserved = true;
+      },
+      {}
+    );
+    els.forEach((el) => {
+      intersectionObserver.observe(el);
+    });
+
+    return {
+      getVisibleEntries: () => {
+        return visibleElements;
+      },
+    };
+  };
+
+  const rightElementObserver = visibleItemObserver(rightSideConflictEls);
+  const leftElementObserver = visibleItemObserver(leftSideConflictEls);
+
+  const hideOverlappedSidebars = () => {
+    marginScrollVisibility(toRegions(rightElementObserver.getVisibleEntries()));
+    sidebarScrollVisiblity(toRegions(leftElementObserver.getVisibleEntries()));
+    if (tocLeftScrollVisibility) {
+      tocLeftScrollVisibility(
+        toRegions(leftElementObserver.getVisibleEntries())
+      );
+    }
+  };
+
+  window.quartoToggleReader = () => {
+    // Applies a slow class (or removes it)
+    // to update the transition speed
+    const slowTransition = (slow) => {
+      const manageTransition = (id, slow) => {
+        const el = document.getElementById(id);
+        if (el) {
+          if (slow) {
+            el.classList.add("slow");
+          } else {
+            el.classList.remove("slow");
+          }
+        }
+      };
+
+      manageTransition("TOC", slow);
+      manageTransition("quarto-sidebar", slow);
+    };
+    const readerMode = !isReaderMode();
+    setReaderModeValue(readerMode);
+
+    // If we're entering reader mode, slow the transition
+    if (readerMode) {
+      slowTransition(readerMode);
+    }
+    highlightReaderToggle(readerMode);
+    hideOverlappedSidebars();
+
+    // If we're exiting reader mode, restore the non-slow transition
+    if (!readerMode) {
+      slowTransition(!readerMode);
+    }
+  };
+
+  const highlightReaderToggle = (readerMode) => {
+    const els = document.querySelectorAll(".quarto-reader-toggle");
+    if (els) {
+      els.forEach((el) => {
+        if (readerMode) {
+          el.classList.add("reader");
+        } else {
+          el.classList.remove("reader");
+        }
+      });
+    }
+  };
+
+  const setReaderModeValue = (val) => {
+    if (window.location.protocol !== "file:") {
+      window.localStorage.setItem("quarto-reader-mode", val);
+    } else {
+      localReaderMode = val;
+    }
+  };
+
+  const isReaderMode = () => {
+    if (window.location.protocol !== "file:") {
+      return window.localStorage.getItem("quarto-reader-mode") === "true";
+    } else {
+      return localReaderMode;
+    }
+  };
+  let localReaderMode = null;
+
+  const tocOpenDepthStr = tocEl?.getAttribute("data-toc-expanded");
+  const tocOpenDepth = tocOpenDepthStr ? Number(tocOpenDepthStr) : 1;
+
+  // Walk the TOC and collapse/expand nodes
+  // Nodes are expanded if:
+  // - they are top level
+  // - they have children that are 'active' links
+  // - they are directly below an link that is 'active'
+  const walk = (el, depth) => {
+    // Tick depth when we enter a UL
+    if (el.tagName === "UL") {
+      depth = depth + 1;
+    }
+
+    // It this is active link
+    let isActiveNode = false;
+    if (el.tagName === "A" && el.classList.contains("active")) {
+      isActiveNode = true;
+    }
+
+    // See if there is an active child to this element
+    let hasActiveChild = false;
+    for (child of el.children) {
+      hasActiveChild = walk(child, depth) || hasActiveChild;
+    }
+
+    // Process the collapse state if this is an UL
+    if (el.tagName === "UL") {
+      if (tocOpenDepth === -1 && depth > 1) {
+        el.classList.add("collapse");
+      } else if (
+        depth <= tocOpenDepth ||
+        hasActiveChild ||
+        prevSiblingIsActiveLink(el)
+      ) {
+        el.classList.remove("collapse");
+      } else {
+        el.classList.add("collapse");
+      }
+
+      // untick depth when we leave a UL
+      depth = depth - 1;
+    }
+    return hasActiveChild || isActiveNode;
+  };
+
+  // walk the TOC and expand / collapse any items that should be shown
+
+  if (tocEl) {
+    walk(tocEl, 0);
+    updateActiveLink();
+  }
+
+  // Throttle the scroll event and walk peridiocally
+  window.document.addEventListener(
+    "scroll",
+    throttle(() => {
+      if (tocEl) {
+        updateActiveLink();
+        walk(tocEl, 0);
+      }
+      if (!isReaderMode()) {
+        hideOverlappedSidebars();
+      }
+    }, 5)
+  );
+  window.addEventListener(
+    "resize",
+    throttle(() => {
+      if (!isReaderMode()) {
+        hideOverlappedSidebars();
+      }
+    }, 10)
+  );
+  hideOverlappedSidebars();
+  highlightReaderToggle(isReaderMode());
+});
+
+// grouped tabsets
+window.addEventListener("pageshow", (_event) => {
+  function getTabSettings() {
+    const data = localStorage.getItem("quarto-persistent-tabsets-data");
+    if (!data) {
+      localStorage.setItem("quarto-persistent-tabsets-data", "{}");
+      return {};
+    }
+    if (data) {
+      return JSON.parse(data);
+    }
+  }
+
+  function setTabSettings(data) {
+    localStorage.setItem(
+      "quarto-persistent-tabsets-data",
+      JSON.stringify(data)
+    );
+  }
+
+  function setTabState(groupName, groupValue) {
+    const data = getTabSettings();
+    data[groupName] = groupValue;
+    setTabSettings(data);
+  }
+
+  function toggleTab(tab, active) {
+    const tabPanelId = tab.getAttribute("aria-controls");
+    const tabPanel = document.getElementById(tabPanelId);
+    if (active) {
+      tab.classList.add("active");
+      tabPanel.classList.add("active");
+    } else {
+      tab.classList.remove("active");
+      tabPanel.classList.remove("active");
+    }
+  }
+
+  function toggleAll(selectedGroup, selectorsToSync) {
+    for (const [thisGroup, tabs] of Object.entries(selectorsToSync)) {
+      const active = selectedGroup === thisGroup;
+      for (const tab of tabs) {
+        toggleTab(tab, active);
+      }
+    }
+  }
+
+  function findSelectorsToSyncByLanguage() {
+    const result = {};
+    const tabs = Array.from(
+      document.querySelectorAll(`div[data-group] a[id^='tabset-']`)
+    );
+    for (const item of tabs) {
+      const div = item.parentElement.parentElement.parentElement;
+      const group = div.getAttribute("data-group");
+      if (!result[group]) {
+        result[group] = {};
+      }
+      const selectorsToSync = result[group];
+      const value = item.innerHTML;
+      if (!selectorsToSync[value]) {
+        selectorsToSync[value] = [];
+      }
+      selectorsToSync[value].push(item);
+    }
+    return result;
+  }
+
+  function setupSelectorSync() {
+    const selectorsToSync = findSelectorsToSyncByLanguage();
+    Object.entries(selectorsToSync).forEach(([group, tabSetsByValue]) => {
+      Object.entries(tabSetsByValue).forEach(([value, items]) => {
+        items.forEach((item) => {
+          item.addEventListener("click", (_event) => {
+            setTabState(group, value);
+            toggleAll(value, selectorsToSync[group]);
+          });
+        });
+      });
+    });
+    return selectorsToSync;
+  }
+
+  const selectorsToSync = setupSelectorSync();
+  for (const [group, selectedName] of Object.entries(getTabSettings())) {
+    const selectors = selectorsToSync[group];
+    // it's possible that stale state gives us empty selections, so we explicitly check here.
+    if (selectors) {
+      toggleAll(selectedName, selectors);
+    }
+  }
+});
+
+function throttle(func, wait) {
+  let waiting = false;
+  return function () {
+    if (!waiting) {
+      func.apply(this, arguments);
+      waiting = true;
+      setTimeout(function () {
+        waiting = false;
+      }, wait);
+    }
+  };
+}
+
+function nexttick(func) {
+  return setTimeout(func, 0);
+}
diff --git a/docs/column_api_files/libs/quarto-html/tippy.css b/docs/column_api_files/libs/quarto-html/tippy.css
new file mode 100644
index 0000000..e6ae635
--- /dev/null
+++ b/docs/column_api_files/libs/quarto-html/tippy.css
@@ -0,0 +1 @@
+.tippy-box[data-animation=fade][data-state=hidden]{opacity:0}[data-tippy-root]{max-width:calc(100vw - 10px)}.tippy-box{position:relative;background-color:#333;color:#fff;border-radius:4px;font-size:14px;line-height:1.4;white-space:normal;outline:0;transition-property:transform,visibility,opacity}.tippy-box[data-placement^=top]>.tippy-arrow{bottom:0}.tippy-box[data-placement^=top]>.tippy-arrow:before{bottom:-7px;left:0;border-width:8px 8px 0;border-top-color:initial;transform-origin:center top}.tippy-box[data-placement^=bottom]>.tippy-arrow{top:0}.tippy-box[data-placement^=bottom]>.tippy-arrow:before{top:-7px;left:0;border-width:0 8px 8px;border-bottom-color:initial;transform-origin:center bottom}.tippy-box[data-placement^=left]>.tippy-arrow{right:0}.tippy-box[data-placement^=left]>.tippy-arrow:before{border-width:8px 0 8px 8px;border-left-color:initial;right:-7px;transform-origin:center left}.tippy-box[data-placement^=right]>.tippy-arrow{left:0}.tippy-box[data-placement^=right]>.tippy-arrow:before{left:-7px;border-width:8px 8px 8px 0;border-right-color:initial;transform-origin:center right}.tippy-box[data-inertia][data-state=visible]{transition-timing-function:cubic-bezier(.54,1.5,.38,1.11)}.tippy-arrow{width:16px;height:16px;color:#333}.tippy-arrow:before{content:"";position:absolute;border-color:transparent;border-style:solid}.tippy-content{position:relative;padding:5px 9px;z-index:1}
\ No newline at end of file
diff --git a/docs/column_api_files/libs/quarto-html/tippy.umd.min.js b/docs/column_api_files/libs/quarto-html/tippy.umd.min.js
new file mode 100644
index 0000000..ca292be
--- /dev/null
+++ b/docs/column_api_files/libs/quarto-html/tippy.umd.min.js
@@ -0,0 +1,2 @@
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.ui-menu-divider")).children().not(".ui-menu").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),this._addClass(e,"ui-menu-item")._addClass(i,"ui-menu-item-wrapper"),t.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!V.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(t,e){var i;"icons"===t&&(i=this.element.find(".ui-menu-icon"),this._removeClass(i,null,this.options.icons.submenu)._addClass(i,null,e.submenu)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",String(t)),this._toggleClass(null,"ui-state-disabled",!!t)},focus:function(t,e){var i;this.blur(t,t&&"focus"===t.type),this._scrollIntoView(e),this.active=e.first(),i=this.active.children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",i.attr("id")),i=this.active.parent().closest(".ui-menu-item").children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),t&&"keydown"===t.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),(i=e.children(".ui-menu")).length&&t&&/^mouse/.test(t.type)&&this._startOpening(i),this.activeMenu=e.parent(),this._trigger("focus",t,{item:e})},_scrollIntoView:function(t){var e,i,s;this._hasScroll()&&(i=parseFloat(V.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(V.css(this.activeMenu[0],"paddingTop"))||0,e=t.offset().top-this.activeMenu.offset().top-i-s,i=this.activeMenu.scrollTop(),s=this.activeMenu.height(),t=t.outerHeight(),e<0?this.activeMenu.scrollTop(i+e):s",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,liveRegionTimer:null,_create:function(){var i,s,n,t=this.element[0].nodeName.toLowerCase(),e="textarea"===t,t="input"===t;this.isMultiLine=e||!t&&this._isContentEditable(this.element),this.valueMethod=this.element[e||t?"val":"text"],this.isNewMenu=!0,this._addClass("ui-autocomplete-input"),this.element.attr("autocomplete","off"),this._on(this.element,{keydown:function(t){if(this.element.prop("readOnly"))s=n=i=!0;else{s=n=i=!1;var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:i=!0,this._move("previousPage",t);break;case e.PAGE_DOWN:i=!0,this._move("nextPage",t);break;case e.UP:i=!0,this._keyEvent("previous",t);break;case e.DOWN:i=!0,this._keyEvent("next",t);break;case e.ENTER:this.menu.active&&(i=!0,t.preventDefault(),this.menu.select(t));break;case e.TAB:this.menu.active&&this.menu.select(t);break;case e.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(t),t.preventDefault());break;default:s=!0,this._searchTimeout(t)}}},keypress:function(t){if(i)return i=!1,void(this.isMultiLine&&!this.menu.element.is(":visible")||t.preventDefault());if(!s){var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:this._move("previousPage",t);break;case e.PAGE_DOWN:this._move("nextPage",t);break;case e.UP:this._keyEvent("previous",t);break;case e.DOWN:this._keyEvent("next",t)}}},input:function(t){if(n)return n=!1,void t.preventDefault();this._searchTimeout(t)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(t){clearTimeout(this.searching),this.close(t),this._change(t)}}),this._initSource(),this.menu=V("
              ").appendTo(this._appendTo()).menu({role:null}).hide().attr({unselectable:"on"}).menu("instance"),this._addClass(this.menu.element,"ui-autocomplete","ui-front"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault()},menufocus:function(t,e){var i,s;if(this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type)))return this.menu.blur(),void this.document.one("mousemove",function(){V(t.target).trigger(t.originalEvent)});s=e.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:s})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(s.value),(i=e.item.attr("aria-label")||s.value)&&String.prototype.trim.call(i).length&&(clearTimeout(this.liveRegionTimer),this.liveRegionTimer=this._delay(function(){this.liveRegion.html(V("
              ").text(i))},100))},menuselect:function(t,e){var i=e.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==V.ui.safeActiveElement(this.document[0])&&(this.element.trigger("focus"),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",t,{item:i})&&this._value(i.value),this.term=this._value(),this.close(t),this.selectedItem=i}}),this.liveRegion=V("
              ",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).appendTo(this.document[0].body),this._addClass(this.liveRegion,null,"ui-helper-hidden-accessible"),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(t,e){this._super(t,e),"source"===t&&this._initSource(),"appendTo"===t&&this.menu.element.appendTo(this._appendTo()),"disabled"===t&&e&&this.xhr&&this.xhr.abort()},_isEventTargetInWidget:function(t){var e=this.menu.element[0];return t.target===this.element[0]||t.target===e||V.contains(e,t.target)},_closeOnClickOutside:function(t){this._isEventTargetInWidget(t)||this.close()},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_initSource:function(){var i,s,n=this;Array.isArray(this.options.source)?(i=this.options.source,this.source=function(t,e){e(V.ui.autocomplete.filter(i,t.term))}):"string"==typeof this.options.source?(s=this.options.source,this.source=function(t,e){n.xhr&&n.xhr.abort(),n.xhr=V.ajax({url:s,data:t,dataType:"json",success:function(t){e(t)},error:function(){e([])}})}):this.source=this.options.source},_searchTimeout:function(s){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),e=this.menu.element.is(":visible"),i=s.altKey||s.ctrlKey||s.metaKey||s.shiftKey;t&&(e||i)||(this.selectedItem=null,this.search(null,s))},this.options.delay)},search:function(t,e){return t=null!=t?t:this._value(),this.term=this._value(),t.length").append(V("
              ").text(e.label)).appendTo(t)},_move:function(t,e){if(this.menu.element.is(":visible"))return this.menu.isFirstItem()&&/^previous/.test(t)||this.menu.isLastItem()&&/^next/.test(t)?(this.isMultiLine||this._value(this.term),void this.menu.blur()):void this.menu[t](e);this.search(null,e)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(t,e){this.isMultiLine&&!this.menu.element.is(":visible")||(this._move(t,e),e.preventDefault())},_isContentEditable:function(t){if(!t.length)return!1;var e=t.prop("contentEditable");return"inherit"===e?this._isContentEditable(t.parent()):"true"===e}}),V.extend(V.ui.autocomplete,{escapeRegex:function(t){return t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,e){var i=new RegExp(V.ui.autocomplete.escapeRegex(e),"i");return V.grep(t,function(t){return i.test(t.label||t.value||t)})}}),V.widget("ui.autocomplete",V.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(t){return t+(1").text(e))},100))}});V.ui.autocomplete;var tt=/ui-corner-([a-z]){2,6}/g;V.widget("ui.controlgroup",{version:"1.13.1",defaultElement:"
              ",options:{direction:"horizontal",disabled:null,onlyVisible:!0,items:{button:"input[type=button], input[type=submit], input[type=reset], button, a",controlgroupLabel:".ui-controlgroup-label",checkboxradio:"input[type='checkbox'], input[type='radio']",selectmenu:"select",spinner:".ui-spinner-input"}},_create:function(){this._enhance()},_enhance:function(){this.element.attr("role","toolbar"),this.refresh()},_destroy:function(){this._callChildMethod("destroy"),this.childWidgets.removeData("ui-controlgroup-data"),this.element.removeAttr("role"),this.options.items.controlgroupLabel&&this.element.find(this.options.items.controlgroupLabel).find(".ui-controlgroup-label-contents").contents().unwrap()},_initWidgets:function(){var o=this,a=[];V.each(this.options.items,function(s,t){var e,n={};if(t)return"controlgroupLabel"===s?((e=o.element.find(t)).each(function(){var t=V(this);t.children(".ui-controlgroup-label-contents").length||t.contents().wrapAll("")}),o._addClass(e,null,"ui-widget ui-widget-content ui-state-default"),void(a=a.concat(e.get()))):void(V.fn[s]&&(n=o["_"+s+"Options"]?o["_"+s+"Options"]("middle"):{classes:{}},o.element.find(t).each(function(){var t=V(this),e=t[s]("instance"),i=V.widget.extend({},n);"button"===s&&t.parent(".ui-spinner").length||((e=e||t[s]()[s]("instance"))&&(i.classes=o._resolveClassesValues(i.classes,e)),t[s](i),i=t[s]("widget"),V.data(i[0],"ui-controlgroup-data",e||t[s]("instance")),a.push(i[0]))})))}),this.childWidgets=V(V.uniqueSort(a)),this._addClass(this.childWidgets,"ui-controlgroup-item")},_callChildMethod:function(e){this.childWidgets.each(function(){var t=V(this).data("ui-controlgroup-data");t&&t[e]&&t[e]()})},_updateCornerClass:function(t,e){e=this._buildSimpleOptions(e,"label").classes.label;this._removeClass(t,null,"ui-corner-top ui-corner-bottom ui-corner-left ui-corner-right ui-corner-all"),this._addClass(t,null,e)},_buildSimpleOptions:function(t,e){var i="vertical"===this.options.direction,s={classes:{}};return s.classes[e]={middle:"",first:"ui-corner-"+(i?"top":"left"),last:"ui-corner-"+(i?"bottom":"right"),only:"ui-corner-all"}[t],s},_spinnerOptions:function(t){t=this._buildSimpleOptions(t,"ui-spinner");return t.classes["ui-spinner-up"]="",t.classes["ui-spinner-down"]="",t},_buttonOptions:function(t){return this._buildSimpleOptions(t,"ui-button")},_checkboxradioOptions:function(t){return this._buildSimpleOptions(t,"ui-checkboxradio-label")},_selectmenuOptions:function(t){var e="vertical"===this.options.direction;return{width:e&&"auto",classes:{middle:{"ui-selectmenu-button-open":"","ui-selectmenu-button-closed":""},first:{"ui-selectmenu-button-open":"ui-corner-"+(e?"top":"tl"),"ui-selectmenu-button-closed":"ui-corner-"+(e?"top":"left")},last:{"ui-selectmenu-button-open":e?"":"ui-corner-tr","ui-selectmenu-button-closed":"ui-corner-"+(e?"bottom":"right")},only:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"}}[t]}},_resolveClassesValues:function(i,s){var n={};return V.each(i,function(t){var e=s.options.classes[t]||"",e=String.prototype.trim.call(e.replace(tt,""));n[t]=(e+" "+i[t]).replace(/\s+/g," ")}),n},_setOption:function(t,e){"direction"===t&&this._removeClass("ui-controlgroup-"+this.options.direction),this._super(t,e),"disabled"!==t?this.refresh():this._callChildMethod(e?"disable":"enable")},refresh:function(){var n,o=this;this._addClass("ui-controlgroup ui-controlgroup-"+this.options.direction),"horizontal"===this.options.direction&&this._addClass(null,"ui-helper-clearfix"),this._initWidgets(),n=this.childWidgets,(n=this.options.onlyVisible?n.filter(":visible"):n).length&&(V.each(["first","last"],function(t,e){var i,s=n[e]().data("ui-controlgroup-data");s&&o["_"+s.widgetName+"Options"]?((i=o["_"+s.widgetName+"Options"](1===n.length?"only":e)).classes=o._resolveClassesValues(i.classes,s),s.element[s.widgetName](i)):o._updateCornerClass(n[e](),e)}),this._callChildMethod("refresh"))}});V.widget("ui.checkboxradio",[V.ui.formResetMixin,{version:"1.13.1",options:{disabled:null,label:null,icon:!0,classes:{"ui-checkboxradio-label":"ui-corner-all","ui-checkboxradio-icon":"ui-corner-all"}},_getCreateOptions:function(){var t,e=this,i=this._super()||{};return this._readType(),t=this.element.labels(),this.label=V(t[t.length-1]),this.label.length||V.error("No label found for checkboxradio widget"),this.originalLabel="",this.label.contents().not(this.element[0]).each(function(){e.originalLabel+=3===this.nodeType?V(this).text():this.outerHTML}),this.originalLabel&&(i.label=this.originalLabel),null!=(t=this.element[0].disabled)&&(i.disabled=t),i},_create:function(){var t=this.element[0].checked;this._bindFormResetHandler(),null==this.options.disabled&&(this.options.disabled=this.element[0].disabled),this._setOption("disabled",this.options.disabled),this._addClass("ui-checkboxradio","ui-helper-hidden-accessible"),this._addClass(this.label,"ui-checkboxradio-label","ui-button ui-widget"),"radio"===this.type&&this._addClass(this.label,"ui-checkboxradio-radio-label"),this.options.label&&this.options.label!==this.originalLabel?this._updateLabel():this.originalLabel&&(this.options.label=this.originalLabel),this._enhance(),t&&this._addClass(this.label,"ui-checkboxradio-checked","ui-state-active"),this._on({change:"_toggleClasses",focus:function(){this._addClass(this.label,null,"ui-state-focus ui-visual-focus")},blur:function(){this._removeClass(this.label,null,"ui-state-focus ui-visual-focus")}})},_readType:function(){var t=this.element[0].nodeName.toLowerCase();this.type=this.element[0].type,"input"===t&&/radio|checkbox/.test(this.type)||V.error("Can't create checkboxradio on element.nodeName="+t+" and element.type="+this.type)},_enhance:function(){this._updateIcon(this.element[0].checked)},widget:function(){return this.label},_getRadioGroup:function(){var t=this.element[0].name,e="input[name='"+V.escapeSelector(t)+"']";return t?(this.form.length?V(this.form[0].elements).filter(e):V(e).filter(function(){return 0===V(this)._form().length})).not(this.element):V([])},_toggleClasses:function(){var t=this.element[0].checked;this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),this.options.icon&&"checkbox"===this.type&&this._toggleClass(this.icon,null,"ui-icon-check ui-state-checked",t)._toggleClass(this.icon,null,"ui-icon-blank",!t),"radio"===this.type&&this._getRadioGroup().each(function(){var t=V(this).checkboxradio("instance");t&&t._removeClass(t.label,"ui-checkboxradio-checked","ui-state-active")})},_destroy:function(){this._unbindFormResetHandler(),this.icon&&(this.icon.remove(),this.iconSpace.remove())},_setOption:function(t,e){if("label"!==t||e){if(this._super(t,e),"disabled"===t)return this._toggleClass(this.label,null,"ui-state-disabled",e),void(this.element[0].disabled=e);this.refresh()}},_updateIcon:function(t){var e="ui-icon ui-icon-background ";this.options.icon?(this.icon||(this.icon=V(""),this.iconSpace=V(" "),this._addClass(this.iconSpace,"ui-checkboxradio-icon-space")),"checkbox"===this.type?(e+=t?"ui-icon-check ui-state-checked":"ui-icon-blank",this._removeClass(this.icon,null,t?"ui-icon-blank":"ui-icon-check")):e+="ui-icon-blank",this._addClass(this.icon,"ui-checkboxradio-icon",e),t||this._removeClass(this.icon,null,"ui-icon-check ui-state-checked"),this.icon.prependTo(this.label).after(this.iconSpace)):void 0!==this.icon&&(this.icon.remove(),this.iconSpace.remove(),delete this.icon)},_updateLabel:function(){var t=this.label.contents().not(this.element[0]);this.icon&&(t=t.not(this.icon[0])),(t=this.iconSpace?t.not(this.iconSpace[0]):t).remove(),this.label.append(this.options.label)},refresh:function(){var t=this.element[0].checked,e=this.element[0].disabled;this._updateIcon(t),this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),null!==this.options.label&&this._updateLabel(),e!==this.options.disabled&&this._setOptions({disabled:e})}}]);var et;V.ui.checkboxradio;V.widget("ui.button",{version:"1.13.1",defaultElement:"
              "+(0
              ":""):"")}f+=_}return f+=F,t._keyEvent=!1,f},_generateMonthYearHeader:function(t,e,i,s,n,o,a,r){var l,h,c,u,d,p,f=this._get(t,"changeMonth"),g=this._get(t,"changeYear"),m=this._get(t,"showMonthAfterYear"),_=this._get(t,"selectMonthLabel"),v=this._get(t,"selectYearLabel"),b="
              ",y="";if(o||!f)y+=""+a[e]+"";else{for(l=s&&s.getFullYear()===i,h=n&&n.getFullYear()===i,y+=""}if(m||(b+=y+(!o&&f&&g?"":" ")),!t.yearshtml)if(t.yearshtml="",o||!g)b+=""+i+"";else{for(a=this._get(t,"yearRange").split(":"),u=(new Date).getFullYear(),d=(_=function(t){t=t.match(/c[+\-].*/)?i+parseInt(t.substring(1),10):t.match(/[+\-].*/)?u+parseInt(t,10):parseInt(t,10);return isNaN(t)?u:t})(a[0]),p=Math.max(d,_(a[1]||"")),d=s?Math.max(d,s.getFullYear()):d,p=n?Math.min(p,n.getFullYear()):p,t.yearshtml+="",b+=t.yearshtml,t.yearshtml=null}return b+=this._get(t,"yearSuffix"),m&&(b+=(!o&&f&&g?"":" ")+y),b+="
              "},_adjustInstDate:function(t,e,i){var s=t.selectedYear+("Y"===i?e:0),n=t.selectedMonth+("M"===i?e:0),e=Math.min(t.selectedDay,this._getDaysInMonth(s,n))+("D"===i?e:0),e=this._restrictMinMax(t,this._daylightSavingAdjust(new Date(s,n,e)));t.selectedDay=e.getDate(),t.drawMonth=t.selectedMonth=e.getMonth(),t.drawYear=t.selectedYear=e.getFullYear(),"M"!==i&&"Y"!==i||this._notifyChange(t)},_restrictMinMax:function(t,e){var i=this._getMinMaxDate(t,"min"),t=this._getMinMaxDate(t,"max"),e=i&&e=i.getTime())&&(!s||e.getTime()<=s.getTime())&&(!n||e.getFullYear()>=n)&&(!o||e.getFullYear()<=o)},_getFormatConfig:function(t){var e=this._get(t,"shortYearCutoff");return{shortYearCutoff:e="string"!=typeof e?e:(new Date).getFullYear()%100+parseInt(e,10),dayNamesShort:this._get(t,"dayNamesShort"),dayNames:this._get(t,"dayNames"),monthNamesShort:this._get(t,"monthNamesShort"),monthNames:this._get(t,"monthNames")}},_formatDate:function(t,e,i,s){e||(t.currentDay=t.selectedDay,t.currentMonth=t.selectedMonth,t.currentYear=t.selectedYear);e=e?"object"==typeof e?e:this._daylightSavingAdjust(new Date(s,i,e)):this._daylightSavingAdjust(new Date(t.currentYear,t.currentMonth,t.currentDay));return this.formatDate(this._get(t,"dateFormat"),e,this._getFormatConfig(t))}}),V.fn.datepicker=function(t){if(!this.length)return this;V.datepicker.initialized||(V(document).on("mousedown",V.datepicker._checkExternalClick),V.datepicker.initialized=!0),0===V("#"+V.datepicker._mainDivId).length&&V("body").append(V.datepicker.dpDiv);var e=Array.prototype.slice.call(arguments,1);return"string"==typeof t&&("isDisabled"===t||"getDate"===t||"widget"===t)||"option"===t&&2===arguments.length&&"string"==typeof arguments[1]?V.datepicker["_"+t+"Datepicker"].apply(V.datepicker,[this[0]].concat(e)):this.each(function(){"string"==typeof t?V.datepicker["_"+t+"Datepicker"].apply(V.datepicker,[this].concat(e)):V.datepicker._attachDatepicker(this,t)})},V.datepicker=new st,V.datepicker.initialized=!1,V.datepicker.uuid=(new Date).getTime(),V.datepicker.version="1.13.1";V.datepicker,V.ui.ie=!!/msie [\w.]+/.exec(navigator.userAgent.toLowerCase());var rt=!1;V(document).on("mouseup",function(){rt=!1});V.widget("ui.mouse",{version:"1.13.1",options:{cancel:"input, textarea, button, select, option",distance:1,delay:0},_mouseInit:function(){var e=this;this.element.on("mousedown."+this.widgetName,function(t){return e._mouseDown(t)}).on("click."+this.widgetName,function(t){if(!0===V.data(t.target,e.widgetName+".preventClickEvent"))return 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e=V(this).resizable("instance"),i=e.options,s=e.containerOffset,n=e.position,o=e._aspectRatio||t.shiftKey,a={top:0,left:0},r=e.containerElement,t=!0;r[0]!==document&&/static/.test(r.css("position"))&&(a=s),n.left<(e._helper?s.left:0)&&(e.size.width=e.size.width+(e._helper?e.position.left-s.left:e.position.left-a.left),o&&(e.size.height=e.size.width/e.aspectRatio,t=!1),e.position.left=i.helper?s.left:0),n.top<(e._helper?s.top:0)&&(e.size.height=e.size.height+(e._helper?e.position.top-s.top:e.position.top),o&&(e.size.width=e.size.height*e.aspectRatio,t=!1),e.position.top=e._helper?s.top:0),i=e.containerElement.get(0)===e.element.parent().get(0),n=/relative|absolute/.test(e.containerElement.css("position")),i&&n?(e.offset.left=e.parentData.left+e.position.left,e.offset.top=e.parentData.top+e.position.top):(e.offset.left=e.element.offset().left,e.offset.top=e.element.offset().top),n=Math.abs(e.sizeDiff.width+(e._helper?e.offset.left-a.left:e.offset.left-s.left)),s=Math.abs(e.sizeDiff.height+(e._helper?e.offset.top-a.top:e.offset.top-s.top)),n+e.size.width>=e.parentData.width&&(e.size.width=e.parentData.width-n,o&&(e.size.height=e.size.width/e.aspectRatio,t=!1)),s+e.size.height>=e.parentData.height&&(e.size.height=e.parentData.height-s,o&&(e.size.width=e.size.height*e.aspectRatio,t=!1)),t||(e.position.left=e.prevPosition.left,e.position.top=e.prevPosition.top,e.size.width=e.prevSize.width,e.size.height=e.prevSize.height)},stop:function(){var t=V(this).resizable("instance"),e=t.options,i=t.containerOffset,s=t.containerPosition,n=t.containerElement,o=V(t.helper),a=o.offset(),r=o.outerWidth()-t.sizeDiff.width,o=o.outerHeight()-t.sizeDiff.height;t._helper&&!e.animate&&/relative/.test(n.css("position"))&&V(this).css({left:a.left-s.left-i.left,width:r,height:o}),t._helper&&!e.animate&&/static/.test(n.css("position"))&&V(this).css({left:a.left-s.left-i.left,width:r,height:o})}}),V.ui.plugin.add("resizable","alsoResize",{start:function(){var t=V(this).resizable("instance").options;V(t.alsoResize).each(function(){var t=V(this);t.data("ui-resizable-alsoresize",{width:parseFloat(t.width()),height:parseFloat(t.height()),left:parseFloat(t.css("left")),top:parseFloat(t.css("top"))})})},resize:function(t,i){var e=V(this).resizable("instance"),s=e.options,n=e.originalSize,o=e.originalPosition,a={height:e.size.height-n.height||0,width:e.size.width-n.width||0,top:e.position.top-o.top||0,left:e.position.left-o.left||0};V(s.alsoResize).each(function(){var t=V(this),s=V(this).data("ui-resizable-alsoresize"),n={},e=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];V.each(e,function(t,e){var i=(s[e]||0)+(a[e]||0);i&&0<=i&&(n[e]=i||null)}),t.css(n)})},stop:function(){V(this).removeData("ui-resizable-alsoresize")}}),V.ui.plugin.add("resizable","ghost",{start:function(){var t=V(this).resizable("instance"),e=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:e.height,width:e.width,margin:0,left:0,top:0}),t._addClass(t.ghost,"ui-resizable-ghost"),!1!==V.uiBackCompat&&"string"==typeof t.options.ghost&&t.ghost.addClass(this.options.ghost),t.ghost.appendTo(t.helper)},resize:function(){var t=V(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=V(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),V.ui.plugin.add("resizable","grid",{resize:function(){var t,e=V(this).resizable("instance"),i=e.options,s=e.size,n=e.originalSize,o=e.originalPosition,a=e.axis,r="number"==typeof i.grid?[i.grid,i.grid]:i.grid,l=r[0]||1,h=r[1]||1,c=Math.round((s.width-n.width)/l)*l,u=Math.round((s.height-n.height)/h)*h,d=n.width+c,p=n.height+u,f=i.maxWidth&&i.maxWidthd,s=i.minHeight&&i.minHeight>p;i.grid=r,m&&(d+=l),s&&(p+=h),f&&(d-=l),g&&(p-=h),/^(se|s|e)$/.test(a)?(e.size.width=d,e.size.height=p):/^(ne)$/.test(a)?(e.size.width=d,e.size.height=p,e.position.top=o.top-u):/^(sw)$/.test(a)?(e.size.width=d,e.size.height=p,e.position.left=o.left-c):((p-h<=0||d-l<=0)&&(t=e._getPaddingPlusBorderDimensions(this)),0=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",s+1),i=!0),i&&!e&&this._trigger("focus",t),i},open:function(){var t=this;this._isOpen?this._moveToTop()&&this._focusTabbable():(this._isOpen=!0,this.opener=V(V.ui.safeActiveElement(this.document[0])),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"))},_focusTabbable:function(){var t=this._focusedElement;(t=!(t=!(t=!(t=!(t=t||this.element.find("[autofocus]")).length?this.element.find(":tabbable"):t).length?this.uiDialogButtonPane.find(":tabbable"):t).length?this.uiDialogTitlebarClose.filter(":tabbable"):t).length?this.uiDialog:t).eq(0).trigger("focus")},_restoreTabbableFocus:function(){var t=V.ui.safeActiveElement(this.document[0]);this.uiDialog[0]===t||V.contains(this.uiDialog[0],t)||this._focusTabbable()},_keepFocus:function(t){t.preventDefault(),this._restoreTabbableFocus(),this._delay(this._restoreTabbableFocus)},_createWrapper:function(){this.uiDialog=V("
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              "),this._addClass(this.uiDialogTitlebar,"ui-dialog-titlebar","ui-widget-header ui-helper-clearfix"),this._on(this.uiDialogTitlebar,{mousedown:function(t){V(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.trigger("focus")}}),this.uiDialogTitlebarClose=V("").button({label:V("").text(this.options.closeText).html(),icon:"ui-icon-closethick",showLabel:!1}).appendTo(this.uiDialogTitlebar),this._addClass(this.uiDialogTitlebarClose,"ui-dialog-titlebar-close"),this._on(this.uiDialogTitlebarClose,{click:function(t){t.preventDefault(),this.close(t)}}),t=V("").uniqueId().prependTo(this.uiDialogTitlebar),this._addClass(t,"ui-dialog-title"),this._title(t),this.uiDialogTitlebar.prependTo(this.uiDialog),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(t){this.options.title?t.text(this.options.title):t.html(" ")},_createButtonPane:function(){this.uiDialogButtonPane=V("
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              ").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return!!V(t.target).closest(".ui-dialog").length||!!V(t.target).closest(".ui-datepicker").length},_createOverlay:function(){var i,s;this.options.modal&&(i=V.fn.jquery.substring(0,4),s=!0,this._delay(function(){s=!1}),this.document.data("ui-dialog-overlays")||this.document.on("focusin.ui-dialog",function(t){var e;s||((e=this._trackingInstances()[0])._allowInteraction(t)||(t.preventDefault(),e._focusTabbable(),"3.4."!==i&&"3.5."!==i||e._delay(e._restoreTabbableFocus)))}.bind(this)),this.overlay=V("
              ").appendTo(this._appendTo()),this._addClass(this.overlay,null,"ui-widget-overlay ui-front"),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1))},_destroyOverlay:function(){var t;this.options.modal&&this.overlay&&((t=this.document.data("ui-dialog-overlays")-1)?this.document.data("ui-dialog-overlays",t):(this.document.off("focusin.ui-dialog"),this.document.removeData("ui-dialog-overlays")),this.overlay.remove(),this.overlay=null)}}),!1!==V.uiBackCompat&&V.widget("ui.dialog",V.ui.dialog,{options:{dialogClass:""},_createWrapper:function(){this._super(),this.uiDialog.addClass(this.options.dialogClass)},_setOption:function(t,e){"dialogClass"===t&&this.uiDialog.removeClass(this.options.dialogClass).addClass(e),this._superApply(arguments)}});V.ui.dialog;function lt(t,e,i){return e<=t&&t").appendTo(this.element),this._addClass(this.valueDiv,"ui-progressbar-value","ui-widget-header"),this._refreshValue()},_destroy:function(){this.element.removeAttr("role aria-valuemin aria-valuemax aria-valuenow"),this.valueDiv.remove()},value:function(t){if(void 0===t)return this.options.value;this.options.value=this._constrainedValue(t),this._refreshValue()},_constrainedValue:function(t){return void 0===t&&(t=this.options.value),this.indeterminate=!1===t,"number"!=typeof t&&(t=0),!this.indeterminate&&Math.min(this.options.max,Math.max(this.min,t))},_setOptions:function(t){var e=t.value;delete t.value,this._super(t),this.options.value=this._constrainedValue(e),this._refreshValue()},_setOption:function(t,e){"max"===t&&(e=Math.max(this.min,e)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",t),this._toggleClass(null,"ui-state-disabled",!!t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,e=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).width(e.toFixed(0)+"%"),this._toggleClass(this.valueDiv,"ui-progressbar-complete",null,t===this.options.max)._toggleClass("ui-progressbar-indeterminate",null,this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=V("
              ").appendTo(this.valueDiv),this._addClass(this.overlayDiv,"ui-progressbar-overlay"))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),V.widget("ui.selectable",V.ui.mouse,{version:"1.13.1",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var i=this;this._addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){i.elementPos=V(i.element[0]).offset(),i.selectees=V(i.options.filter,i.element[0]),i._addClass(i.selectees,"ui-selectee"),i.selectees.each(function(){var t=V(this),e=t.offset(),e={left:e.left-i.elementPos.left,top:e.top-i.elementPos.top};V.data(this,"selectable-item",{element:this,$element:t,left:e.left,top:e.top,right:e.left+t.outerWidth(),bottom:e.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this._mouseInit(),this.helper=V("
              "),this._addClass(this.helper,"ui-selectable-helper")},_destroy:function(){this.selectees.removeData("selectable-item"),this._mouseDestroy()},_mouseStart:function(i){var s=this,t=this.options;this.opos=[i.pageX,i.pageY],this.elementPos=V(this.element[0]).offset(),this.options.disabled||(this.selectees=V(t.filter,this.element[0]),this._trigger("start",i),V(t.appendTo).append(this.helper),this.helper.css({left:i.pageX,top:i.pageY,width:0,height:0}),t.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var t=V.data(this,"selectable-item");t.startselected=!0,i.metaKey||i.ctrlKey||(s._removeClass(t.$element,"ui-selected"),t.selected=!1,s._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,s._trigger("unselecting",i,{unselecting:t.element}))}),V(i.target).parents().addBack().each(function(){var t,e=V.data(this,"selectable-item");if(e)return t=!i.metaKey&&!i.ctrlKey||!e.$element.hasClass("ui-selected"),s._removeClass(e.$element,t?"ui-unselecting":"ui-selected")._addClass(e.$element,t?"ui-selecting":"ui-unselecting"),e.unselecting=!t,e.selecting=t,(e.selected=t)?s._trigger("selecting",i,{selecting:e.element}):s._trigger("unselecting",i,{unselecting:e.element}),!1}))},_mouseDrag:function(s){if(this.dragged=!0,!this.options.disabled){var t,n=this,o=this.options,a=this.opos[0],r=this.opos[1],l=s.pageX,h=s.pageY;return ll||i.righth||i.bottoma&&i.rightr&&i.bottom",options:{appendTo:null,classes:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"},disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:!1,change:null,close:null,focus:null,open:null,select:null},_create:function(){var t=this.element.uniqueId().attr("id");this.ids={element:t,button:t+"-button",menu:t+"-menu"},this._drawButton(),this._drawMenu(),this._bindFormResetHandler(),this._rendered=!1,this.menuItems=V()},_drawButton:function(){var t,e=this,i=this._parseOption(this.element.find("option:selected"),this.element[0].selectedIndex);this.labels=this.element.labels().attr("for",this.ids.button),this._on(this.labels,{click:function(t){this.button.trigger("focus"),t.preventDefault()}}),this.element.hide(),this.button=V("",{tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true",title:this.element.attr("title")}).insertAfter(this.element),this._addClass(this.button,"ui-selectmenu-button ui-selectmenu-button-closed","ui-button ui-widget"),t=V("").appendTo(this.button),this._addClass(t,"ui-selectmenu-icon","ui-icon "+this.options.icons.button),this.buttonItem=this._renderButtonItem(i).appendTo(this.button),!1!==this.options.width&&this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){e._rendered||e._refreshMenu()})},_drawMenu:function(){var i=this;this.menu=V("
                ",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=V("
                ").append(this.menu),this._addClass(this.menuWrap,"ui-selectmenu-menu","ui-front"),this.menuWrap.appendTo(this._appendTo()),this.menuInstance=this.menu.menu({classes:{"ui-menu":"ui-corner-bottom"},role:"listbox",select:function(t,e){t.preventDefault(),i._setSelection(),i._select(e.item.data("ui-selectmenu-item"),t)},focus:function(t,e){e=e.item.data("ui-selectmenu-item");null!=i.focusIndex&&e.index!==i.focusIndex&&(i._trigger("focus",t,{item:e}),i.isOpen||i._select(e,t)),i.focusIndex=e.index,i.button.attr("aria-activedescendant",i.menuItems.eq(e.index).attr("id"))}}).menu("instance"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(this._getSelectedItem().data("ui-selectmenu-item")||{})),null===this.options.width&&this._resizeButton()},_refreshMenu:function(){var t=this.element.find("option");this.menu.empty(),this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup").find(".ui-menu-item-wrapper"),this._rendered=!0,t.length&&(t=this._getSelectedItem(),this.menuInstance.focus(null,t),this._setAria(t.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(t){this.options.disabled||(this._rendered?(this._removeClass(this.menu.find(".ui-state-active"),null,"ui-state-active"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.menuItems.length&&(this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",t)))},_position:function(){this.menuWrap.position(V.extend({of:this.button},this.options.position))},close:function(t){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",t))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderButtonItem:function(t){var e=V("");return this._setText(e,t.label),this._addClass(e,"ui-selectmenu-text"),e},_renderMenu:function(s,t){var n=this,o="";V.each(t,function(t,e){var i;e.optgroup!==o&&(i=V("
              • ",{text:e.optgroup}),n._addClass(i,"ui-selectmenu-optgroup","ui-menu-divider"+(e.element.parent("optgroup").prop("disabled")?" ui-state-disabled":"")),i.appendTo(s),o=e.optgroup),n._renderItemData(s,e)})},_renderItemData:function(t,e){return this._renderItem(t,e).data("ui-selectmenu-item",e)},_renderItem:function(t,e){var i=V("
              • "),s=V("
                ",{title:e.element.attr("title")});return e.disabled&&this._addClass(i,null,"ui-state-disabled"),this._setText(s,e.label),i.append(s).appendTo(t)},_setText:function(t,e){e?t.text(e):t.html(" ")},_move:function(t,e){var i,s=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex).parent("li"):(i=this.menuItems.eq(this.element[0].selectedIndex).parent("li"),s+=":not(.ui-state-disabled)"),(s="first"===t||"last"===t?i["first"===t?"prevAll":"nextAll"](s).eq(-1):i[t+"All"](s).eq(0)).length&&this.menuInstance.focus(e,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex).parent("li")},_toggle:function(t){this[this.isOpen?"close":"open"](t)},_setSelection:function(){var t;this.range&&(window.getSelection?((t=window.getSelection()).removeAllRanges(),t.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(V(t.target).closest(".ui-selectmenu-menu, #"+V.escapeSelector(this.ids.button)).length||this.close(t))}},_buttonEvents:{mousedown:function(){var t;window.getSelection?(t=window.getSelection()).rangeCount&&(this.range=t.getRangeAt(0)):this.range=document.selection.createRange()},click:function(t){this._setSelection(),this._toggle(t)},keydown:function(t){var e=!0;switch(t.keyCode){case V.ui.keyCode.TAB:case V.ui.keyCode.ESCAPE:this.close(t),e=!1;break;case V.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case V.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case V.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case V.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case V.ui.keyCode.LEFT:this._move("prev",t);break;case V.ui.keyCode.RIGHT:this._move("next",t);break;case V.ui.keyCode.HOME:case V.ui.keyCode.PAGE_UP:this._move("first",t);break;case V.ui.keyCode.END:case V.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),e=!1}e&&t.preventDefault()}},_selectFocusedItem:function(t){var e=this.menuItems.eq(this.focusIndex).parent("li");e.hasClass("ui-state-disabled")||this._select(e.data("ui-selectmenu-item"),t)},_select:function(t,e){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=t.index,this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(t)),this._setAria(t),this._trigger("select",e,{item:t}),t.index!==i&&this._trigger("change",e,{item:t}),this.close(e)},_setAria:function(t){t=this.menuItems.eq(t.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(t,e){var i;"icons"===t&&(i=this.button.find("span.ui-icon"),this._removeClass(i,null,this.options.icons.button)._addClass(i,null,e.button)),this._super(t,e),"appendTo"===t&&this.menuWrap.appendTo(this._appendTo()),"width"===t&&this._resizeButton()},_setOptionDisabled:function(t){this._super(t),this.menuInstance.option("disabled",t),this.button.attr("aria-disabled",t),this._toggleClass(this.button,null,"ui-state-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_toggleAttr:function(){this.button.attr("aria-expanded",this.isOpen),this._removeClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"closed":"open"))._addClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"open":"closed"))._toggleClass(this.menuWrap,"ui-selectmenu-open",null,this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var t=this.options.width;!1!==t?(null===t&&(t=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(t)):this.button.css("width","")},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){var t=this._super();return t.disabled=this.element.prop("disabled"),t},_parseOptions:function(t){var i=this,s=[];t.each(function(t,e){e.hidden||s.push(i._parseOption(V(e),t))}),this.items=s},_parseOption:function(t,e){var i=t.parent("optgroup");return{element:t,index:e,value:t.val(),label:t.text(),optgroup:i.attr("label")||"",disabled:i.prop("disabled")||t.prop("disabled")}},_destroy:function(){this._unbindFormResetHandler(),this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.labels.attr("for",this.ids.element)}}]),V.widget("ui.slider",V.ui.mouse,{version:"1.13.1",widgetEventPrefix:"slide",options:{animate:!1,classes:{"ui-slider":"ui-corner-all","ui-slider-handle":"ui-corner-all","ui-slider-range":"ui-corner-all ui-widget-header"},distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this._addClass("ui-slider ui-slider-"+this.orientation,"ui-widget ui-widget-content"),this._refresh(),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,e=this.options,i=this.element.find(".ui-slider-handle"),s=[],n=e.values&&e.values.length||1;for(i.length>n&&(i.slice(n).remove(),i=i.slice(0,n)),t=i.length;t");this.handles=i.add(V(s.join("")).appendTo(this.element)),this._addClass(this.handles,"ui-slider-handle","ui-state-default"),this.handle=this.handles.eq(0),this.handles.each(function(t){V(this).data("ui-slider-handle-index",t).attr("tabIndex",0)})},_createRange:function(){var t=this.options;t.range?(!0===t.range&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:Array.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?(this._removeClass(this.range,"ui-slider-range-min ui-slider-range-max"),this.range.css({left:"",bottom:""})):(this.range=V("
                ").appendTo(this.element),this._addClass(this.range,"ui-slider-range")),"min"!==t.range&&"max"!==t.range||this._addClass(this.range,"ui-slider-range-"+t.range)):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,o,e,a,r=this,l=this.options;return!l.disabled&&(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),a={x:t.pageX,y:t.pageY},i=this._normValueFromMouse(a),s=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var e=Math.abs(i-r.values(t));(e=this._valueMax())return this._valueMax();var e=0=e&&(t+=0this.options.max&&(t-=i),this.max=parseFloat(t.toFixed(this._precision()))},_precision:function(){var t=this._precisionOf(this.options.step);return t=null!==this.options.min?Math.max(t,this._precisionOf(this.options.min)):t},_precisionOf:function(t){var e=t.toString(),t=e.indexOf(".");return-1===t?0:e.length-t-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshRange:function(t){"vertical"===t&&this.range.css({width:"",left:""}),"horizontal"===t&&this.range.css({height:"",bottom:""})},_refreshValue:function(){var e,i,t,s,n,o=this.options.range,a=this.options,r=this,l=!this._animateOff&&a.animate,h={};this._hasMultipleValues()?this.handles.each(function(t){i=(r.values(t)-r._valueMin())/(r._valueMax()-r._valueMin())*100,h["horizontal"===r.orientation?"left":"bottom"]=i+"%",V(this).stop(1,1)[l?"animate":"css"](h,a.animate),!0===r.options.range&&("horizontal"===r.orientation?(0===t&&r.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({width:i-e+"%"},{queue:!1,duration:a.animate})):(0===t&&r.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({height:i-e+"%"},{queue:!1,duration:a.animate}))),e=i}):(t=this.value(),s=this._valueMin(),n=this._valueMax(),i=n!==s?(t-s)/(n-s)*100:0,h["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](h,a.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},a.animate),"max"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:100-i+"%"},a.animate),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},a.animate),"max"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:100-i+"%"},a.animate))},_handleEvents:{keydown:function(t){var e,i,s,n=V(t.target).data("ui-slider-handle-index");switch(t.keyCode){case V.ui.keyCode.HOME:case V.ui.keyCode.END:case V.ui.keyCode.PAGE_UP:case V.ui.keyCode.PAGE_DOWN:case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,this._addClass(V(t.target),null,"ui-state-active"),!1===this._start(t,n)))return}switch(s=this.options.step,e=i=this._hasMultipleValues()?this.values(n):this.value(),t.keyCode){case V.ui.keyCode.HOME:i=this._valueMin();break;case V.ui.keyCode.END:i=this._valueMax();break;case V.ui.keyCode.PAGE_UP:i=this._trimAlignValue(e+(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.PAGE_DOWN:i=this._trimAlignValue(e-(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:if(e===this._valueMax())return;i=this._trimAlignValue(e+s);break;case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(e===this._valueMin())return;i=this._trimAlignValue(e-s)}this._slide(t,n,i)},keyup:function(t){var e=V(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,e),this._change(t,e),this._removeClass(V(t.target),null,"ui-state-active"))}}}),V.widget("ui.sortable",V.ui.mouse,{version:"1.13.1",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(t,e,i){return e<=t&&t*{ cursor: "+o.cursor+" !important; }").appendTo(n)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!i)for(s=this.containers.length-1;0<=s;s--)this.containers[s]._trigger("activate",t,this._uiHash(this));return V.ui.ddmanager&&(V.ui.ddmanager.current=this),V.ui.ddmanager&&!o.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this._addClass(this.helper,"ui-sortable-helper"),this.helper.parent().is(this.appendTo)||(this.helper.detach().appendTo(this.appendTo),this.offset.parent=this._getParentOffset()),this.position=this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,this.lastPositionAbs=this.positionAbs=this._convertPositionTo("absolute"),this._mouseDrag(t),!0},_scroll:function(t){var e=this.options,i=!1;return this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageYt[this.floating?"width":"height"]?h&&c:o",i.document[0]);return i._addClass(t,"ui-sortable-placeholder",s||i.currentItem[0].className)._removeClass(t,"ui-sortable-helper"),"tbody"===n?i._createTrPlaceholder(i.currentItem.find("tr").eq(0),V("",i.document[0]).appendTo(t)):"tr"===n?i._createTrPlaceholder(i.currentItem,t):"img"===n&&t.attr("src",i.currentItem.attr("src")),s||t.css("visibility","hidden"),t},update:function(t,e){s&&!o.forcePlaceholderSize||(e.height()&&(!o.forcePlaceholderSize||"tbody"!==n&&"tr"!==n)||e.height(i.currentItem.innerHeight()-parseInt(i.currentItem.css("paddingTop")||0,10)-parseInt(i.currentItem.css("paddingBottom")||0,10)),e.width()||e.width(i.currentItem.innerWidth()-parseInt(i.currentItem.css("paddingLeft")||0,10)-parseInt(i.currentItem.css("paddingRight")||0,10)))}}),i.placeholder=V(o.placeholder.element.call(i.element,i.currentItem)),i.currentItem.after(i.placeholder),o.placeholder.update(i,i.placeholder)},_createTrPlaceholder:function(t,e){var i=this;t.children().each(function(){V(" ",i.document[0]).attr("colspan",V(this).attr("colspan")||1).appendTo(e)})},_contactContainers:function(t){for(var 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n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(t,e){this.reverting=!1;var i,s=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(i in this._storedCSS)"auto"!==this._storedCSS[i]&&"static"!==this._storedCSS[i]||(this._storedCSS[i]="");this.currentItem.css(this._storedCSS),this._removeClass(this.currentItem,"ui-sortable-helper")}else this.currentItem.show();function n(e,i,s){return 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                ").attr("role","tooltip"),i=V("
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\ No newline at end of file
diff --git a/docs/index.html b/docs/index.html
index 4a8efcf..073527b 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -2,7 +2,7 @@
 
 
 
-
+
 
 
 
@@ -17,11 +17,12 @@
 ul.task-list{list-style: none;}
 ul.task-list li input[type="checkbox"] {
   width: 0.8em;
-  margin: 0 0.8em 0.2em -1.6em;
+  margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */ 
   vertical-align: middle;
 }
+/* CSS for syntax highlighting */
 pre > code.sourceCode { white-space: pre; position: relative; }
-pre > code.sourceCode > span { line-height: 1.25; }
+pre > code.sourceCode > span { display: inline-block; line-height: 1.25; }
 pre > code.sourceCode > span:empty { height: 1.2em; }
 .sourceCode { overflow: visible; }
 code.sourceCode > span { color: inherit; text-decoration: inherit; }
@@ -35,54 +36,24 @@
 pre > code.sourceCode > span { text-indent: -5em; padding-left: 5em; }
 }
 pre.numberSource code
-{ counter-reset: source-line 0; }
+  { counter-reset: source-line 0; }
 pre.numberSource code > span
-{ position: relative; left: -4em; counter-increment: source-line; }
+  { position: relative; left: -4em; counter-increment: source-line; }
 pre.numberSource code > span > a:first-child::before
-{ content: counter(source-line);
-position: relative; left: -1em; text-align: right; vertical-align: baseline;
-border: none; display: inline-block;
--webkit-touch-callout: none; -webkit-user-select: none;
--khtml-user-select: none; -moz-user-select: none;
--ms-user-select: none; user-select: none;
-padding: 0 4px; width: 4em;
-color: #aaaaaa;
-}
-pre.numberSource { margin-left: 3em; border-left: 1px solid #aaaaaa; padding-left: 4px; }
+  { content: counter(source-line);
+    position: relative; left: -1em; text-align: right; vertical-align: baseline;
+    border: none; display: inline-block;
+    -webkit-touch-callout: none; -webkit-user-select: none;
+    -khtml-user-select: none; -moz-user-select: none;
+    -ms-user-select: none; user-select: none;
+    padding: 0 4px; width: 4em;
+  }
+pre.numberSource { margin-left: 3em;  padding-left: 4px; }
 div.sourceCode
-{ }
+  {   }
 @media screen {
 pre > code.sourceCode > span > a:first-child::before { text-decoration: underline; }
 }
-code span.al { color: #ff0000; font-weight: bold; } /* Alert */
-code span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */
-code span.at { color: #7d9029; } /* Attribute */
-code span.bn { color: #40a070; } /* BaseN */
-code span.bu { color: #008000; } /* BuiltIn */
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-code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */
 
 
 
@@ -98,6 +69,7 @@
 
 
 
+  
   
 
 
@@ -111,17 +83,17 @@ 
                Table of contents
                
    
   
                
 
-
                
-
                Columns and rows
                
+
                
+
                Columns and rows
                
 
                Get columns and rows as sequences. column, columns and rows treat grouped dataset as regular one. See Groups to read more about grouped datasets.
                
 
                Possible result types:
                
 
                  
@@ -1557,13 +1541,13 @@ 
                  Columns and rows
                  
 
                  (take 2 (tc/rows ds))
                  
 
                
 
                
-
                ([#object[java.time.LocalDate 0x3bb2d3e4 "2012-01-01"]
+
                ([#object[java.time.LocalDate 0x53dd53f8 "2012-01-01"]
   0.0
   12.8
   5.0
   4.7
   "drizzle"]
- [#object[java.time.LocalDate 0x3041ae6f "2012-01-02"]
+ [#object[java.time.LocalDate 0x11638493 "2012-01-02"]
   10.9
   10.6
   2.8
@@ -1622,8 +1606,8 @@ 
                Columns and rows
                
 
                [{:a 1, :b 3} {:b 4} {:a 2}]
                
 
                
 
-
                
-
                Single entry
                
+
                
+
                Single entry
                
 
                Get single value from the table using get-in from Clojure API or get-entry. First argument is column name, second is row number.
                
 
                
 
                (get-in ds ["wind" 2])
                
@@ -1638,8 +1622,8 @@ 
                Single entry
                
 
                2.3
                
 
                
 
                
-
                
-
                Printing
                
+
                
+
                Printing
                
 
                Dataset is printed using dataset->str or print-dataset functions. Options are the same as in tech.ml.dataset/dataset-data->str. Most important is :print-line-policy which can be one of the: :single, :repl or :markdown.
                
 
                
 
                (tc/print-dataset (tc/group-by DS :V1) {:print-line-policy :markdown})
                
@@ -1660,7 +1644,6 @@ 
                Printing
                
 
                nil
                
 
                
 
                
-
                
 
                
 
                Group-by
                
 
                Grouping by is an operation which splits dataset into subdatasets and pack it into new special type of… dataset. I distinguish two types of dataset: regular dataset and grouped dataset. The latter is the result of grouping.
                
@@ -5754,7 +5737,7 @@ 
                Rename
                
 v1
 v2
 [1 2 3]
-java.lang.Object@680b7aaa
+java.lang.Object@112d474f
 
 
 
@@ -6003,7 +5986,7 @@ 
                Rename
                
 [1 2 3]
 
 
-java.lang.Object@649ac4d3
+java.lang.Object@695c7372
 
 
 
@@ -6115,7 +6098,7 @@ 
                Rename
                
 [1 2 3]
 
 
-java.lang.Object@649ac4d3
+java.lang.Object@695c7372
 
 
 
@@ -6306,55 +6289,55 @@ 
                Add or update
                
 
 
 
-0.55273002
+0.33427832
 1
 0.5
 A
 
 
-0.03138350
+0.83048019
 2
 1.0
 B
 
 
-0.59973884
+0.18831793
 3
 1.5
 C
 
 
-0.87143280
+0.75929043
 4
 0.5
 A
 
 
-0.45169670
+0.85041022
 5
 1.0
 B
 
 
-0.66363413
+0.46596282
 6
 1.5
 C
 
 
-0.90424062
+0.58807946
 7
 0.5
 A
 
 
-0.72083939
+0.11865375
 8
 1.0
 B
 
 
-0.68851090
+0.08569196
 9
 1.5
 C
@@ -7223,55 +7206,55 @@ 
                Update
                
 
 
 1
-5
+8
 0.5
 A
 
 
 2
-8
+6
 1.0
 B
 
 
 1
-2
+7
 1.5
 C
 
 
 2
-6
+9
 0.5
 A
 
 
 1
-9
+3
 1.0
 B
 
 
 2
-4
+1
 1.5
 C
 
 
 1
-3
+5
 0.5
 A
 
 
 2
-7
+2
 1.0
 B
 
 
 1
-1
+4
 1.5
 C
 
@@ -7987,23 +7970,21 @@ 
                Type conversion
                
 
                
 
 
-
                
-
                Rows
                
-
                Rows can be selected or dropped using various selectors:
                
+
                
+
                Column Operations
                
+
                There are a large number of column operations that can be performed on the columns in your dataset. These operations are a similar set as the Column API operations, but instead of operating directly on columns, they take a Dataset and a columns-selector.
                
+
                The behavior of the operations differ based on their return value:
                
 
                  
-
                • row id(s) - row index as number or seqence of numbers (first row has index 0, second 1 and so on)
                  • 
-
                • sequence of true/false values
                  • 
-
                • filter by predicate (argument is row as a map)
                  • 
+
                • If an operation would return a scalar value, then the function behaves like an aggregator and can be used in group-by expresesions. Such functions will have the general signature:
                  
+
                  (dataset columns-selector) => dataset
                  • 
+
                • If an operation would return another column, then the function will not behave like an aggregator. Instead, it asks you to specify a target column, which it will add to the dataset that it returns. The signature of these functions is:
                  
+
                  (ds target-col columns-selector) => dataset
                  • 
 
                
-
                When predicate is used you may want to limit columns passed to the function (select-keys option).
                
-
                Additionally you may want to precalculate some values which will be visible for predicate as additional columns. It’s done internally by calling add-columns on a dataset. :pre is used as a column definitions.
                
-
                
-
                Select
                
-
                Select fifth row
                
+
                As there are a large number of operations, we will illustrate their usage. To begin with, here are some examples of operations whose result is a new column:
                
 
                
-
                (tc/select-rows DS 4)
                
+
                DS
                
 
                
-
                _unnamed [1 4]:
                
+
                _unnamed [9 4]:
                
 
@@ -8016,18 +7997,65 @@ 
                Select
                
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                
 
 
                
 
                
 
                
 110.5A
                221.0B
                131.5C
                240.5A
                1
 5
 1.0
 B
 
                261.5C
                170.5A
                281.0B
                191.5C
                
                 
 
                
-
                
-
                Select 3 rows
                
 
                
-
                (tc/select-rows DS [1 4 5])
                
+
                (-> DS
+    (tc/+ :SUM [:V1 :V2]))
                
 
                
-
                _unnamed [3 4]:
                
+
                _unnamed [9 5]:
                
 
@@ -8035,35 +8063,80 @@ 
                Select
                
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
-
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                
 
 
                
 :V2
 :V3
 :V4:SUM
 
                
                 
 
 
                110.5A2
                
 2
 2
 1.0
 B4
                131.5C4
 
                
 
                240.5A6
                
 1
 5
 1.0
 B6
 
                
 2
 6
 1.5
 C8
                170.5A8
                281.0B10
                191.5C10
 
                
                 
 
                
-
                
-
                Select rows using sequence of true/false values
                
 
                
-
                (tc/select-rows DS [true nil nil true])
                
+
                (-> DS
+    (tc/* :MULTIPY [:V1 :V2]))
                
 
                
-
                _unnamed [2 4]:
                
+
                _unnamed [9 5]:
                
 
@@ -8071,6 +8144,7 @@ 
                Select
                
+
@@ -8079,60 +8153,133 @@ 
                Select
                
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                
 
 
                
 :V2
 :V3
 :V4:MULTIPY
 
                
                 
 
 
                1
 0.5
 A1
                221.0B4
                131.5C3
 
                
 
                
 2
 4
 0.5
 A8
                151.0B5
                261.5C12
                170.5A7
                281.0B16
                191.5C9
 
                
                 
 
                
-
                
-
                Select rows using predicate
                
+
                Now let’s look at operations that would return a scalar:
                
 
                
-
                (tc/select-rows DS (comp #(< % 1) :V3))
                
+
                (-> DS
+    (tc/mean [:V1]))
                
 
                
-
                _unnamed [3 4]:
                
+
                _unnamed [1 1]:
                
+
+
+
+
+
+
+
+
+
+
+
+
                summary
                1.44444444
                
+
                Notice that we did not supply a target column to the mean function. Since mean does not return a column, we do not provide this argument. Instead, we simply provide the dataset and a columns-selector. We then get back a dataset with the result.
                
+
                Now let’s use this function within a grouping expression:
                
+
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/mean [:V2]))
                
+
                
+
                _unnamed [3 2]:
                
 
-
-
-
+
-
-
-
+
-
-
-
-
+
+
-
-
-
-
+
+
                
 
 
                :V1:V2:V3
 :V4summary
 
                
                 
 
 
                110.5
 A4.0
 
                
 
                240.5AB5.0
 
                
 
                170.5AC6.0
 
                
                 
 
                
-
                
-
                The same works on grouped dataset, let’s select first row from every group.
                
+
                In this example, we grouped DS and then passed the resulting grouped Dataset directly to the mean operation. Since mean returns a scalar, it operates as an aggregator, summarizing the results of each group.
                
+
                
+
                
+
                Rows
                
+
                Rows can be selected or dropped using various selectors:
                
+
                  
+
                • row id(s) - row index as number or seqence of numbers (first row has index 0, second 1 and so on)
                  • 
+
                • sequence of true/false values
                  • 
+
                • filter by predicate (argument is row as a map)
                  • 
+
                
+
                When predicate is used you may want to limit columns passed to the function (select-keys option).
                
+
                Additionally you may want to precalculate some values which will be visible for predicate as additional columns. It’s done internally by calling add-columns on a dataset. :pre is used as a column definitions.
                
+
                
+
                Select
                
+
                Select fifth row
                
 
                
-
                (-> DS
-    (tc/group-by :V1)
-    (tc/select-rows 0)
-    (tc/ungroup))
                
+
                (tc/select-rows DS 4)
                
 
                
-
                _unnamed [2 4]:
                
+
                _unnamed [1 4]:
                
 
@@ -8145,28 +8292,157 @@ 
                Select
                
-
-
-
+
+
+
-
+
+
                
 
 
                
 
                
 
                
 110.5A51.0B
 
                
+
                
+
                Select 3 rows
                
+
                
+
                (tc/select-rows DS [1 4 5])
                
+
                
+
                _unnamed [3 4]:
                
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                :V1:V2:V3:V4
                
 2
 2
 1.0
 B
 
                151.0B
                261.5C
                
                 
 
                
 
                
-
                If you want to select :V2 values which are lower than or equal mean in grouped dataset you have to precalculate it using :pre.
                
+
                Select rows using sequence of true/false values
                
 
                
-
                (-> DS
-    (tc/group-by :V4)
-    (tc/select-rows (fn [row] (<= (:V2 row) (:mean row)))
-                     {:pre {:mean #(tech.v3.datatype.functional/mean (% :V2))}})
-    (tc/ungroup))
                
+
                (tc/select-rows DS [true nil nil true])
                
 
                
-
                _unnamed [6 4]:
                
+
                _unnamed [2 4]:
                
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                :V1:V2:V3:V4
                110.5A
                240.5A
                
+
                
+
                Select rows using predicate
                
+
                
+
                (tc/select-rows DS (comp #(< % 1) :V3))
                
+
                
+
                _unnamed [3 4]:
                
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                :V1:V2:V3:V4
                110.5A
                240.5A
                170.5A
                
+
                
+
                The same works on grouped dataset, let’s select first row from every group.
                
+
                
+
                (-> DS
+    (tc/group-by :V1)
+    (tc/select-rows 0)
+    (tc/ungroup))
                
+
                
+
                _unnamed [2 4]:
                
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
                :V1:V2:V3:V4
                110.5A
                221.0B
                
+
                
+
                If you want to select :V2 values which are lower than or equal mean in grouped dataset you have to precalculate it using :pre.
                
+
                
+
                (-> DS
+    (tc/group-by :V4)
+    (tc/select-rows (fn [row] (<= (:V2 row) (:mean row)))
+                     {:pre {:mean #(tech.v3.datatype.functional/mean (% :V2))}})
+    (tc/ungroup))
                
+
                
+
                _unnamed [6 4]:
                
 
@@ -8222,11 +8498,11 @@ 
                Drop
                Drop values lower than or equal :V2 column mean in grouped dataset.
                
-
                (-> DS
-    (tc/group-by :V4)
-    (tc/drop-rows (fn [row] (<= (:V2 row) (:mean row)))
-                   {:pre {:mean #(tech.v3.datatype.functional/mean (% :V2))}})
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by :V4)
+    (tc/drop-rows (fn [row] (<= (:V2 row) (:mean row)))
+                   {:pre {:mean #(tech.v3.datatype.functional/mean (% :V2))}})
+    (tc/ungroup))
                
 
                _unnamed [3 4]:
                
 
 
                
 
 
 
 
 
                
@@ -8265,8 +8541,8 @@ 
                Map rows
                Call a mapping function for every row. Mapping function should return a map, where keys are column names (new or old) and values are column values.
                Works on grouped dataset too.
                
-
                (tc/map-rows DS (fn [{:keys [V1 V2]}] {:V1 0
-                                       :V5 (/ (+ V1 V2) (double V2))}))
                
+
                (tc/map-rows DS (fn [{:keys [V1 V2]}] {:V1 0
+                                       :V5 (/ (+ V1 V2) (double V2))}))
                
 
                _unnamed [9 5]:
                
 
 
 
 
 
                
@@ -8353,7 +8629,7 @@ 
                Other
                First row
                
-
                (tc/first DS)
                
+
                (tc/first DS)
                
 
                _unnamed [1 4]:
                
 
 
 
 
 
                
@@ -8377,7 +8653,7 @@ 
                Other
                Last row
                
-
                (tc/last DS)
                
+
                (tc/last DS)
                
 
                _unnamed [1 4]:
                
 
 
 
 
 
                
@@ -8401,8 +8677,8 @@ 
                Other
                Random row (single)
                
-
                ^:note-to-test/skip
-(tc/rand-nth DS)
                
+
                ^:note-to-test/skip
+(tc/rand-nth DS)
                
 
                _unnamed [1 4]:
                
 
 
 
 
 
                
@@ -8416,17 +8692,17 @@ 
                Other
                
-
-
-
-
+
+
+
+
                
 
 
 
                240.5A151.0B
 
                
                 
 
                
 
                
 
                Random row (single) with seed
                
 
                
-
                (tc/rand-nth DS {:seed 42})
                
+
                (tc/rand-nth DS {:seed 42})
                
 
                
 
                _unnamed [1 4]:
                
 
@@ -8450,8 +8726,8 @@ 
                Other
                Random n (default: row count) rows with repetition.
                
-
                ^:note-to-test/skip
-(tc/random DS)
                
+
                ^:note-to-test/skip
+(tc/random DS)
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
                
@@ -8465,10 +8741,10 @@ 
                Other
                
-
-
-
-
+
+
+
+
@@ -8478,15 +8754,15 @@ 
                Other
                
-
-
-
+
+
+
-
-
-
+
+
+
@@ -8496,9 +8772,9 @@ 
                Other
                
-
-
-
+
+
+
@@ -8523,8 +8799,8 @@ 
                Other
                Five random rows with repetition
                
-
                ^:note-to-test/skip
-(tc/random DS 5)
                
+
                ^:note-to-test/skip
+(tc/random DS 5)
                
 
                _unnamed [5 4]:
                
 
 
 
                240.5A131.5C
 
                
 
                
 2
 
                
 
                
 151.0B31.5C
 
                
 
                
 281.0B61.5C
 
                
 
                
 1
 
                
 
                
 170.5A51.0B
 
                
 
                
 1
 
 
 
 
 
                
@@ -8539,10 +8815,22 @@ 
                Other
                
+
+
+
+
+
+
+
+
+
+
+
+
@@ -8550,30 +8838,18 @@ 
                Other
                
-
-
-
-
-
-
-
+
-
-
-
-
-
-
                
 
 
                
 281.0B
                2
 4
 0.5
 A
 
                110.5A
                
 
                
 1
 9
 C
 
                
 
                221.0B
                
 139
 1.5
 C
 
                170.5A
                
                 
 
                
 
                
 
                Five random, non-repeating rows
                
 
                
-
                ^:note-to-test/skip
-(tc/random DS 5 {:repeat? false})
                
+
                ^:note-to-test/skip
+(tc/random DS 5 {:repeat? false})
                
 
                
 
                _unnamed [5 4]:
                
 
@@ -8588,40 +8864,40 @@ 
                Other
                
-
+
-
-
-
-
-
-
-
+
-
+
+
-
+
+
+
+
+
+
                
 
 
                
 282
 1.0
 B
 
                
 
                110.5A
                
 2
 6
 1.5
 C
 
                
 2
 4
 0.5
 A
 
                1
 17
 0.5
 A
 
                151.0B
                
                 
 
                
 
                
 
                Five random, with seed
                
 
                
-
                (tc/random DS 5 {:seed 42})
                
+
                (tc/random DS 5 {:seed 42})
                
 
                
 
                _unnamed [5 4]:
                
 
@@ -8669,8 +8945,8 @@ 
                Other
                Shuffle dataset
                
-
                ^:note-to-test/skip
-(tc/shuffle DS)
                
+
                ^:note-to-test/skip
+(tc/shuffle DS)
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
                
@@ -8684,16 +8960,16 @@ 
                Other
                
-
-
+
+
-
-
-
-
+
+
+
+
@@ -8703,9 +8979,9 @@ 
                Other
                
-
-
-
+
+
+
@@ -8715,34 +8991,34 @@ 
                Other
                
-
-
-
+
+
+
-
+
-
-
-
+
+
+
-
-
-
+
+
+
                
 
 
 
                1326
 1.5
 C
 
                
 
                240.5A151.0B
 
                
 
                
 2
 
                
 
                
 110.5A91.5C
 
                
 
                
 1
 
                
 
                
 281.0B40.5A
 
                
 
                
 193
 1.5
 C
 
                
 
                
 261.5C81.0B
 
                
 
                
 151.0B10.5A
 
                
                 
 
                
 
                
 
                Shuffle with seed
                
 
                
-
                (tc/shuffle DS {:seed 42})
                
+
                (tc/shuffle DS {:seed 42})
                
 
                
 
                _unnamed [9 4]:
                
 
@@ -8814,7 +9090,7 @@ 
                Other
                First n rows (default 5)
                
-
                (tc/head DS)
                
+
                (tc/head DS)
                
 
                _unnamed [5 4]:
                
 
 
 
 
 
                
@@ -8862,7 +9138,7 @@ 
                Other
                Last n rows (default 5)
                
-
                (tc/tail DS)
                
+
                (tc/tail DS)
                
 
                _unnamed [5 4]:
                
 
 
 
 
 
                
@@ -8913,7 +9189,7 @@ 
                Other
                rank is zero based and is defined at tablecloth.api.utils namespace.
                
-
                (tc/by-rank DS :V3 zero?)
                
+
                (tc/by-rank DS :V3 zero?)
                
 
                _unnamed [3 4]:
                
 
 
 
 
 
                
@@ -8948,7 +9224,7 @@ 
                Other
                
 
                
 
                most V3 values
                
 
                
-
                (tc/by-rank DS :V3 zero? {:desc? false})
                
+
                (tc/by-rank DS :V3 zero? {:desc? false})
                
 
                
 
                _unnamed [3 4]:
                
 
@@ -8985,7 +9261,7 @@ 
                Other
                Rank also works on multiple columns
                
-
                (tc/by-rank DS [:V1 :V3] zero? {:desc? false})
                
+
                (tc/by-rank DS [:V1 :V3] zero? {:desc? false})
                
 
                _unnamed [2 4]:
                
 
 
 
 
 
                
@@ -9015,11 +9291,11 @@ 
                Other
                Select 5 random rows from each group
                
-
                ^:note-to-test/skip
-(-> DS
-    (tc/group-by :V4)
-    (tc/random 5)
-    (tc/ungroup))
                
+
                ^:note-to-test/skip
+(-> DS
+    (tc/group-by :V4)
+    (tc/random 5)
+    (tc/ungroup))
                
 
                _unnamed [15 4]:
                
 
 
 
 
 
                
@@ -9034,25 +9310,25 @@ 
                Other
                
-
+
-
+
-
-
+
+
-
-
+
+
@@ -9064,25 +9340,25 @@ 
                Other
                
-
+
-
-
+
+
-
-
+
+
-
+
@@ -9094,13 +9370,13 @@ 
                Other
                
-
+
-
-
+
+
@@ -9111,14 +9387,14 @@ 
                Other
                
-
-
+
+
-
+
@@ -9136,7 +9412,7 @@ 
                Aggregate
                Let’s calculate mean of some columns
                
-
                (tc/aggregate DS #(reduce + (% :V2)))
                
+
                (tc/aggregate DS #(reduce + (% :V2)))
                
 
                _unnamed [1 1]:
                
 
 
                
 117
 0.5
 A
 
                
 
                
 117
 0.5
 A
 
                
 
                2411
 0.5
 A
 
                
 
                1124
 0.5
 A
 
                
 
 
                
 228
 1.0
 B
 
                
 
                1528
 1.0
 B
 
                
 
                2815
 1.0
 B
 
                
 
                
 228
 1.0
 B
 
                
 
 
                
 139
 1.5
 C
 
                
 
                2619
 1.5
 C
 
                
 
                C
 
                
 
                1926
 1.5
 C
 
                
 
                
 139
 1.5
 C
 
                
 
 
 
 
 
                
@@ -9154,7 +9430,7 @@ 
                Aggregate
                Let’s give resulting column a name.
                
-
                (tc/aggregate DS {:sum-of-V2 #(reduce + (% :V2))})
                
+
                (tc/aggregate DS {:sum-of-V2 #(reduce + (% :V2))})
                
 
                _unnamed [1 1]:
                
 
 
 
 
 
                
@@ -9172,7 +9448,7 @@ 
                Aggregate
                Sequential result is spread into separate columns
                
-
                (tc/aggregate DS #(take 5(% :V2)))
                
+
                (tc/aggregate DS #(take 5(% :V2)))
                
 
                _unnamed [1 5]:
                
 
 
 
 
 
                
@@ -9198,9 +9474,9 @@ 
                Aggregate
                You can combine all variants and rename default prefix
                
-
                (tc/aggregate DS [#(take 3 (% :V2))
-                   (fn [ds] {:sum-v1 (reduce + (ds :V1))
-                            :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"})
                
+
                (tc/aggregate DS [#(take 3 (% :V2))
+                   (fn [ds] {:sum-v1 (reduce + (ds :V1))
+                            :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"})
                
 
                _unnamed [1 5]:
                
 
 
 
 
 
                
@@ -9233,11 +9509,11 @@ 
                Aggregate
                Processing grouped dataset
                
-
                (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate [#(take 3 (% :V2))
-                    (fn [ds] {:sum-v1 (reduce + (ds :V1))
-                             :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"}))
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate [#(take 3 (% :V2))
+                    (fn [ds] {:sum-v1 (reduce + (ds :V1))
+                             :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"}))
                
 
                _unnamed [3 6]:
                
 
 
 
 
 
                
@@ -9288,12 +9564,12 @@ 
                Aggregate
                
 
                
 
                Result of aggregating is automatically ungrouped, you can skip this step by stetting :ungroup option to false.
                
 
                
-
                (-> DS
-    (tc/group-by [:V3])
-    (tc/aggregate [#(take 3 (% :V2))
-                    (fn [ds] {:sum-v1 (reduce + (ds :V1))
-                             :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"
-                                                              :ungroup? false}))
                
+
                (-> DS
+    (tc/group-by [:V3])
+    (tc/aggregate [#(take 3 (% :V2))
+                    (fn [ds] {:sum-v1 (reduce + (ds :V1))
+                             :prod-v3 (reduce * (ds :V3))})] {:default-column-name-prefix "V2-value"
+                                                              :ungroup? false}))
                
 
                
 
                _unnamed [3 3]:
                
 
@@ -9326,7 +9602,7 @@ 
                Aggregate
                Column
                You can perform columnar aggreagation also. aggregate-columns selects columns and apply aggregating function (or sequence of functions) for each column separately.
                
-
                (tc/aggregate-columns DS [:V1 :V2 :V3] #(reduce + %))
                
+
                (tc/aggregate-columns DS [:V1 :V2 :V3] #(reduce + %))
                
 
                _unnamed [1 3]:
                
 
 
 
 
 
                
@@ -9347,9 +9623,9 @@ 
                Column
                
 
                
 
                
 
                
-
                (tc/aggregate-columns DS [:V1 :V2 :V3] [#(reduce + %)
-                                         #(reduce max %)
-                                         #(reduce * %)])
                
+
                (tc/aggregate-columns DS [:V1 :V2 :V3] [#(reduce + %)
+                                         #(reduce max %)
+                                         #(reduce * %)])
                
 
                
 
                _unnamed [1 3]:
                
 
@@ -9370,9 +9646,9 @@ 
                Column
                
 
                
 
                
 
                
-
                (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns [:V1 :V2 :V3] #(reduce + %)))
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns [:V1 :V2 :V3] #(reduce + %)))
                
 
                
 
                _unnamed [3 4]:
                
 
@@ -9407,9 +9683,9 @@ 
                Column
                
 
                
 
                You can also aggregate whole dataset
                
 
                
-
                (-> DS
-    (tc/drop-columns :V4)
-    (tc/aggregate-columns #(reduce + %)))
                
+
                (-> DS
+    (tc/drop-columns :V4)
+    (tc/aggregate-columns #(reduce + %)))
                
 
                
 
                _unnamed [1 3]:
                
 
@@ -9440,12 +9716,12 @@ 
                Crosstab
              • :pivot? - if false, flat aggregation result is returned (default: false)
                • 
-
                (def ctds (tc/dataset {:a [:foo :foo :bar :bar :foo :foo]
-                       :b [:one :one :two :one :two :one]
-                       :c [:dull :dull :shiny :dull :dull :shiny]}))
                
+
                (def ctds (tc/dataset {:a [:foo :foo :bar :bar :foo :foo]
+                       :b [:one :one :two :one :two :one]
+                       :c [:dull :dull :shiny :dull :dull :shiny]}))
                
 
                
-
                ctds
                
+
                ctds
                
 
                _unnamed [6 3]:
                
 
 
 
 
 
 
                
@@ -9491,7 +9767,7 @@ 
                Crosstab
                
 
                
 
                
 
                
-
                (tc/crosstab ctds :a [:b :c])
                
+
                (tc/crosstab ctds :a [:b :c])
                
 
                
 
                _unnamed [2 5]:
                
 
@@ -9531,7 +9807,7 @@ 
                Crosstab
                With marginals
                
-
                (tc/crosstab ctds :a [:b :c] {:marginal-rows true :marginal-cols true})
                
+
                (tc/crosstab ctds :a [:b :c] {:marginal-rows true :marginal-cols true})
                
 
                _unnamed [3 6]:
                
 
 
 
 
 
                
@@ -9583,7 +9859,7 @@ 
                Crosstab
                Set missing value to -1
                
-
                (tc/crosstab ctds :a [:b :c] {:missing-value -1})
                
+
                (tc/crosstab ctds :a [:b :c] {:missing-value -1})
                
 
                _unnamed [2 5]:
                
 
 
 
 
 
                
@@ -9623,7 +9899,7 @@ 
                Crosstab
                Turn off pivoting
                
-
                (tc/crosstab ctds :a [:b :c] {:pivot? false})
                
+
                (tc/crosstab ctds :a [:b :c] {:pivot? false})
                
 
                _unnamed [5 3]:
                
 
 
 
 
 
                
@@ -9676,7 +9952,7 @@ 
                Order
                Order by single column, ascending
                
-
                (tc/order-by DS :V1)
                
+
                (tc/order-by DS :V1)
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
                
@@ -9748,7 +10024,7 @@ 
                Order
                Descending order
                
-
                (tc/order-by DS :V1 :desc)
                
+
                (tc/order-by DS :V1 :desc)
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
                
@@ -9820,7 +10096,7 @@ 
                Order
                Order by two columns
                
-
                (tc/order-by DS [:V1 :V2])
                
+
                (tc/order-by DS [:V1 :V2])
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
                
@@ -9892,7 +10168,7 @@ 
                Order
                Use different orders for columns
                
-
                (tc/order-by DS [:V1 :V2] [:asc :desc])
                
+
                (tc/order-by DS [:V1 :V2] [:asc :desc])
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
                
@@ -9962,7 +10238,7 @@ 
                Order
                
 
 
                
 
                
-
                (tc/order-by DS [:V1 :V2] [:desc :desc])
                
+
                (tc/order-by DS [:V1 :V2] [:desc :desc])
                
 
                
 
                _unnamed [9 4]:
                
 
@@ -10032,7 +10308,7 @@ 
                Order
                
 
 
                
 
                
-
                (tc/order-by DS [:V1 :V3] [:desc :asc])
                
+
                (tc/order-by DS [:V1 :V3] [:desc :asc])
                
 
                
 
                _unnamed [9 4]:
                
 
@@ -10104,9 +10380,9 @@ 
                Order
                Custom function can be used to provided ordering key. Here order by :V4 descending, then by product of other columns ascending.
                
-
                (tc/order-by DS [:V4 (fn [row] (* (:V1 row)
-                                  (:V2 row)
-                                  (:V3 row)))] [:desc :asc])
                
+
                (tc/order-by DS [:V4 (fn [row] (* (:V1 row)
+                                  (:V2 row)
+                                  (:V3 row)))] [:desc :asc])
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
                
@@ -10178,20 +10454,20 @@ 
                Order
                Custom comparator also can be used in case objects are not comparable by default. Let’s define artificial one: if Euclidean distance is lower than 2, compare along z else along x and y. We use first three columns for that.
                
-
                (defn dist
-  [v1 v2]
-  (->> v2
-       (map - v1)
-       (map #(* % %))
-       (reduce +)
-       (Math/sqrt)))
                
+
                (defn dist
+  [v1 v2]
+  (->> v2
+       (map - v1)
+       (map #(* % %))
+       (reduce +)
+       (Math/sqrt)))
                
 
                
-
                (tc/order-by DS [:V1 :V2 :V3] (fn [[x1 y1 z1 :as v1] [x2 y2 z2 :as v2]]
-                                (let [d (dist v1 v2)]
-                                  (if (< d 2.0)
-                                    (compare z1 z2)
-                                    (compare [x1 y1] [x2 y2])))))
                
+
                (tc/order-by DS [:V1 :V2 :V3] (fn [[x1 y1 z1 :as v1] [x2 y2 z2 :as v2]]
+                                (let [d (dist v1 v2)]
+                                  (if (< d 2.0)
+                                    (compare z1 z2)
+                                    (compare [x1 y1] [x2 y2])))))
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
 
                
@@ -10268,7 +10544,7 @@ 
                Unique
                Remove duplicates from whole dataset
                
-
                (tc/unique-by DS)
                
+
                (tc/unique-by DS)
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
                
@@ -10340,7 +10616,7 @@ 
                Unique
                Remove duplicates from each group selected by column.
                
-
                (tc/unique-by DS :V1)
                
+
                (tc/unique-by DS :V1)
                
 
                _unnamed [2 4]:
                
 
 
 
 
 
                
@@ -10370,7 +10646,7 @@ 
                Unique
                Pair of columns
                
-
                (tc/unique-by DS [:V1 :V3])
                
+
                (tc/unique-by DS [:V1 :V3])
                
 
                _unnamed [6 4]:
                
 
 
 
 
 
                
@@ -10424,7 +10700,7 @@ 
                Unique
                Also function can be used, split dataset by modulo 3 on columns :V2
                
-
                (tc/unique-by DS (fn [m] (mod (:V2 m) 3)))
                
+
                (tc/unique-by DS (fn [m] (mod (:V2 m) 3)))
                
 
                _unnamed [3 4]:
                
 
 
 
 
 
                
@@ -10460,10 +10736,10 @@ 
                Unique
                The same can be achived with group-by
                
-
                (-> DS
-    (tc/group-by (fn [m] (mod (:V2 m) 3)))
-    (tc/first)
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by (fn [m] (mod (:V2 m) 3)))
+    (tc/first)
+    (tc/ungroup))
                
 
                _unnamed [3 4]:
                
 
 
 
 
 
                
@@ -10499,10 +10775,10 @@ 
                Unique
                Grouped dataset
                
-
                (-> DS
-    (tc/group-by :V4)
-    (tc/unique-by :V1)
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by :V4)
+    (tc/unique-by :V1)
+    (tc/ungroup))
                
 
                _unnamed [6 4]:
                
 
 
 
 
 
                
@@ -10565,7 +10841,7 @@ 
                Strategies
                Last
                
-
                (tc/unique-by DS :V1 {:strategy :last})
                
+
                (tc/unique-by DS :V1 {:strategy :last})
                
 
                _unnamed [2 4]:
                
 
 
 
 
 
                
@@ -10595,8 +10871,8 @@ 
                Strategies
                Random
                
-
                ^:note-to-test/skip
-(tc/unique-by DS :V1 {:strategy :random})
                
+
                ^:note-to-test/skip
+(tc/unique-by DS :V1 {:strategy :random})
                
 
                _unnamed [2 4]:
                
 
 
 
 
 
                
@@ -10610,23 +10886,23 @@ 
                Strategies
                
-
-
-
-
+
+
+
+
-
-
-
-
+
+
+
+
                
 
 
 
                240.5A131.5C
 
                
 
                151.0B261.5C
 
                
                 
 
                
 
                
 
                Pack columns into vector
                
 
                
-
                (tc/unique-by DS :V4 {:strategy vec})
                
+
                (tc/unique-by DS :V4 {:strategy vec})
                
 
                
 
                _unnamed [3 3]:
                
 
@@ -10658,7 +10934,7 @@ 
                Strategies
                Sum columns
                
-
                (tc/unique-by DS :V4 {:strategy (partial reduce +)})
                
+
                (tc/unique-by DS :V4 {:strategy (partial reduce +)})
                
 
                _unnamed [3 3]:
                
 
 
 
 
 
                
@@ -10690,7 +10966,7 @@ 
                Strategies
                Group by function and apply functions
                
-
                (tc/unique-by DS (fn [m] (mod (:V2 m) 3)) {:strategy vec})
                
+
                (tc/unique-by DS (fn [m] (mod (:V2 m) 3)) {:strategy vec})
                
 
                _unnamed [3 4]:
                
 
 
 
 
 
                
@@ -10726,10 +11002,10 @@ 
                Strategies
                Grouped dataset
                
-
                (-> DS
-    (tc/group-by :V1)
-    (tc/unique-by (fn [m] (mod (:V2 m) 3)) {:strategy vec})
-    (tc/ungroup {:add-group-as-column :from-V1}))
                
+
                (-> DS
+    (tc/group-by :V1)
+    (tc/unique-by (fn [m] (mod (:V2 m) 3)) {:strategy vec})
+    (tc/ungroup {:add-group-as-column :from-V1}))
                
 
                _unnamed [6 5]:
                
 
 
 
 
 
                
@@ -10795,13 +11071,13 @@ 
                Missing
                column-selector can be used to limit considered columns
                Let’s define dataset which contains missing values
                
-
                (def DSm (tc/dataset {:V1 (take 9 (cycle [1 2 nil]))
-                      :V2 (range 1 10)
-                      :V3 (take 9 (cycle [0.5 1.0 nil 1.5]))
-                      :V4 (take 9 (cycle ["A" "B" "C"]))}))
                
+
                (def DSm (tc/dataset {:V1 (take 9 (cycle [1 2 nil]))
+                      :V2 (range 1 10)
+                      :V3 (take 9 (cycle [0.5 1.0 nil 1.5]))
+                      :V4 (take 9 (cycle ["A" "B" "C"]))}))
                
 
                
-
                DSm
                
+
                DSm
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
 
                
@@ -10874,7 +11150,7 @@ 
                Missing
                Select
                Select rows with missing values
                
-
                (tc/select-missing DSm)
                
+
                (tc/select-missing DSm)
                
 
                _unnamed [4 4]:
                
 
 
 
 
 
                
@@ -10916,7 +11192,7 @@ 
                Select
                Select rows with missing values in :V1
                
-
                (tc/select-missing DSm :V1)
                
+
                (tc/select-missing DSm :V1)
                
 
                _unnamed [3 4]:
                
 
 
 
 
 
                
@@ -10952,10 +11228,10 @@ 
                Select
                The same with grouped dataset
                
-
                (-> DSm
-    (tc/group-by :V4)
-    (tc/select-missing :V3)
-    (tc/ungroup))
                
+
                (-> DSm
+    (tc/group-by :V4)
+    (tc/select-missing :V3)
+    (tc/ungroup))
                
 
                _unnamed [2 4]:
                
 
 
 
 
 
                
@@ -10987,7 +11263,7 @@ 
                Select
                Drop
                Drop rows with missing values
                
-
                (tc/drop-missing DSm)
                
+
                (tc/drop-missing DSm)
                
 
                _unnamed [5 4]:
                
 
 
 
 
 
                
@@ -11035,7 +11311,7 @@ 
                Drop
                Drop rows with missing values in :V1
                
-
                (tc/drop-missing DSm :V1)
                
+
                (tc/drop-missing DSm :V1)
                
 
                _unnamed [6 4]:
                
 
 
 
 
 
                
@@ -11089,10 +11365,10 @@ 
                Drop
                The same with grouped dataset
                
-
                (-> DSm
-    (tc/group-by :V4)
-    (tc/drop-missing :V1)
-    (tc/ungroup))
                
+
                (-> DSm
+    (tc/group-by :V4)
+    (tc/drop-missing :V1)
+    (tc/ungroup))
                
 
                _unnamed [6 4]:
                
 
 
 
 
 
                
@@ -11172,11 +11448,11 @@ 
                Replace
                Let’s define special dataset here:
                
-
                (def DSm2 (tc/dataset {:a [nil nil nil 1.0 2  nil nil nil nil  nil 4   nil  11 nil nil]
-                       :b [2   2   2 nil nil nil nil nil nil 13   nil   3  4  5 5]}))
                
+
                (def DSm2 (tc/dataset {:a [nil nil nil 1.0 2  nil nil nil nil  nil 4   nil  11 nil nil]
+                       :b [2   2   2 nil nil nil nil nil nil 13   nil   3  4  5 5]}))
                
 
                
-
                DSm2
                
+
                DSm2
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
 
                
@@ -11252,7 +11528,7 @@ 
                Replace
                Replace missing with default strategy for all columns
                
-
                (tc/replace-missing DSm2)
                
+
                (tc/replace-missing DSm2)
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -11328,7 +11604,7 @@ 
                Replace
                Replace missing with single value in whole dataset
                
-
                (tc/replace-missing DSm2 :all :value 999)
                
+
                (tc/replace-missing DSm2 :all :value 999)
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -11404,7 +11680,7 @@ 
                Replace
                Replace missing with single value in :a column
                
-
                (tc/replace-missing DSm2 :a :value 999)
                
+
                (tc/replace-missing DSm2 :a :value 999)
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -11480,7 +11756,7 @@ 
                Replace
                Replace missing with sequence in :a column
                
-
                (tc/replace-missing DSm2 :a :value [-999 -998 -997])
                
+
                (tc/replace-missing DSm2 :a :value [-999 -998 -997])
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -11556,7 +11832,7 @@ 
                Replace
                Replace missing with a function (mean)
                
-
                (tc/replace-missing DSm2 :a :value tech.v3.datatype.functional/mean)
                
+
                (tc/replace-missing DSm2 :a :value tech.v3.datatype.functional/mean)
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -11632,7 +11908,7 @@ 
                Replace
                Replace missing some missing values with a map
                
-
                (tc/replace-missing DSm2 :a :value {0 100 1 -100 14 -1000})
                
+
                (tc/replace-missing DSm2 :a :value {0 100 1 -100 14 -1000})
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -11708,7 +11984,7 @@ 
                Replace
                Using :down strategy, fills gaps with values from above. You can see that if missings are at the beginning, the are filled with first value
                
-
                (tc/replace-missing DSm2 [:a :b] :downup)
                
+
                (tc/replace-missing DSm2 [:a :b] :downup)
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -11784,7 +12060,7 @@ 
                Replace
                To fix above issue you can provide value
                
-
                (tc/replace-missing DSm2 [:a :b] :down 999)
                
+
                (tc/replace-missing DSm2 [:a :b] :down 999)
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -11860,7 +12136,7 @@ 
                Replace
                The same applies for :up strategy which is opposite direction.
                
-
                (tc/replace-missing DSm2 [:a :b] :up)
                
+
                (tc/replace-missing DSm2 [:a :b] :up)
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -11935,7 +12211,7 @@ 
                Replace
                
 
                
 
                
 
                
-
                (tc/replace-missing DSm2 [:a :b] :updown)
                
+
                (tc/replace-missing DSm2 [:a :b] :updown)
                
 
                
 
                _unnamed [15 2]:
                
 
@@ -12011,7 +12287,7 @@ 
                Replace
                The same applies for :up strategy which is opposite direction.
                
-
                (tc/replace-missing DSm2 [:a :b] :midpoint)
                
+
                (tc/replace-missing DSm2 [:a :b] :midpoint)
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -12087,7 +12363,7 @@ 
                Replace
                We can use a function which is applied after applying :up or :down
                
-
                (tc/replace-missing DSm2 [:a :b] :down tech.v3.datatype.functional/mean)
                
+
                (tc/replace-missing DSm2 [:a :b] :down tech.v3.datatype.functional/mean)
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -12163,7 +12439,7 @@ 
                Replace
                Lerp tries to apply linear interpolation of the values
                
-
                (tc/replace-missing DSm2 [:a :b] :lerp)
                
+
                (tc/replace-missing DSm2 [:a :b] :lerp)
                
 
                _unnamed [15 2]:
                
 
 
 
 
 
                
@@ -12239,10 +12515,10 @@ 
                Replace
                Lerp works also on dates
                
-
                (-> (tc/dataset {:dt [(java.time.LocalDateTime/of 2020 1 1 11 22 33)
-                      nil nil nil nil nil nil nil
-                      (java.time.LocalDateTime/of 2020 10 1 1 1 1)]})
-    (tc/replace-missing :lerp))
                
+
                (-> (tc/dataset {:dt [(java.time.LocalDateTime/of 2020 1 1 11 22 33)
+                      nil nil nil nil nil nil nil
+                      (java.time.LocalDateTime/of 2020 10 1 1 1 1)]})
+    (tc/replace-missing :lerp))
                
 
                _unnamed [9 1]:
                
 
 
 
 
 
                
@@ -12294,9 +12570,9 @@ 
                Inject
                
-
                (-> (tc/dataset {:a [1 2 9]
-                 :b [:a :b :c]})
-    (tc/fill-range-replace :a 1))
                
+
                (-> (tc/dataset {:a [1 2 9]
+                 :b [:a :b :c]})
+    (tc/fill-range-replace :a 1))
                
 
                _unnamed [9 2]:
                
 
 
 
 
 
                
@@ -12373,7 +12649,7 @@ 
                Join
                Default usage. Create :joined column out of other columns.
                
-
                (tc/join-columns DSm :joined [:V1 :V2 :V4])
                
+
                (tc/join-columns DSm :joined [:V1 :V2 :V4])
                
 
                _unnamed [9 2]:
                
 
 
 
 
 
                
@@ -12425,7 +12701,7 @@ 
                Join
                Without dropping source columns.
                
-
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:drop-columns? false})
                
+
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:drop-columns? false})
                
 
                _unnamed [9 5]:
                
 
 
 
 
 
                
@@ -12507,7 +12783,7 @@ 
                Join
                Let’s replace missing value with “NA” string.
                
-
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:missing-subst "NA"})
                
+
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:missing-subst "NA"})
                
 
                _unnamed [9 2]:
                
 
 
 
 
 
                
@@ -12559,8 +12835,8 @@ 
                Join
                We can use custom separator.
                
-
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:separator "/"
-                                            :missing-subst "."})
                
+
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:separator "/"
+                                            :missing-subst "."})
                
 
                _unnamed [9 2]:
                
 
 
 
 
 
                
@@ -12612,8 +12888,8 @@ 
                Join
                Or even sequence of separators.
                
-
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:separator ["-" "/"]
-                                            :missing-subst "."})
                
+
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:separator ["-" "/"]
+                                            :missing-subst "."})
                
 
                _unnamed [9 2]:
                
 
 
 
 
 
                
@@ -12665,7 +12941,7 @@ 
                Join
                The other types of results, map:
                
-
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type :map})
                
+
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type :map})
                
 
                _unnamed [9 2]:
                
 
 
 
 
 
                
@@ -12717,7 +12993,7 @@ 
                Join
                Sequence
                
-
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type :seq})
                
+
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type :seq})
                
 
                _unnamed [9 2]:
                
 
 
 
 
 
                
@@ -12769,7 +13045,7 @@ 
                Join
                Custom function, calculate hash
                
-
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type hash})
                
+
                (tc/join-columns DSm :joined [:V1 :V2 :V4] {:result-type hash})
                
 
                _unnamed [9 2]:
                
 
 
 
 
 
                
@@ -12821,10 +13097,10 @@ 
                Join
                Grouped dataset
                
-
                (-> DSm
-    (tc/group-by :V4)
-    (tc/join-columns :joined [:V1 :V2 :V4])
-    (tc/ungroup))
                
+
                (-> DSm
+    (tc/group-by :V4)
+    (tc/join-columns :joined [:V1 :V2 :V4])
+    (tc/ungroup))
                
 
                _unnamed [9 2]:
                
 
 
 
 
 
                
@@ -12878,11 +13154,11 @@ 
                Join
                Tidyr examples
                source
                
-
                (def df (tc/dataset {:x ["a" "a" nil nil]
-                      :y ["b" nil "b" nil]}))
                
+
                (def df (tc/dataset {:x ["a" "a" nil nil]
+                      :y ["b" nil "b" nil]}))
                
 
                
-
                df
                
+
                df
                
 
                _unnamed [4 2]:
                
 
 
 
 
 
 
                
@@ -12913,9 +13189,9 @@ 
                Tidyr examples
                
 
                
 
                
 
                
-
                (tc/join-columns df "z" [:x :y] {:drop-columns? false
-                                  :missing-subst "NA"
-                                  :separator "_"})
                
+
                (tc/join-columns df "z" [:x :y] {:drop-columns? false
+                                  :missing-subst "NA"
+                                  :separator "_"})
                
 
                
 
                _unnamed [4 3]:
                
 
@@ -12951,8 +13227,8 @@ 
                Tidyr examples
                
 
                
 
                
 
                
-
                (tc/join-columns df "z" [:x :y] {:drop-columns? false
-                                  :separator "_"})
                
+
                (tc/join-columns df "z" [:x :y] {:drop-columns? false
+                                  :separator "_"})
                
 
                
 
                _unnamed [4 3]:
                
 
@@ -13011,9 +13287,9 @@ 
                Separate
                Separate float into integer and factional values
                
-
                (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
-                                                     [(int (quot v 1.0))
-                                                      (mod v 1.0)]))
                
+
                (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
+                                                     [(int (quot v 1.0))
+                                                      (mod v 1.0)]))
                
 
                _unnamed [9 5]:
                
 
 
 
 
 
                
@@ -13095,9 +13371,9 @@ 
                Separate
                Source column can be kept
                
-
                (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
-                                                     [(int (quot v 1.0))
-                                                      (mod v 1.0)]) {:drop-column? false})
                
+
                (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
+                                                     [(int (quot v 1.0))
+                                                      (mod v 1.0)]) {:drop-column? false})
                
 
                _unnamed [9 6]:
                
 
 
 
 
 
                
@@ -13189,9 +13465,9 @@ 
                Separate
                We can treat 0 or 0.0 as missing value
                
-
                (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
-                                                     [(int (quot v 1.0))
-                                                      (mod v 1.0)]) {:missing-subst [0 0.0]})
                
+
                (tc/separate-column DS :V3 [:int-part :frac-part] (fn [^double v]
+                                                     [(int (quot v 1.0))
+                                                      (mod v 1.0)]) {:missing-subst [0 0.0]})
                
 
                _unnamed [9 5]:
                
 
 
 
 
 
                
@@ -13273,12 +13549,12 @@ 
                Separate
                Works on grouped dataset
                
-
                (-> DS
-    (tc/group-by :V4)
-    (tc/separate-column :V3 [:int-part :fract-part] (fn [^double v]
-                                                       [(int (quot v 1.0))
-                                                        (mod v 1.0)]))
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by :V4)
+    (tc/separate-column :V3 [:int-part :fract-part] (fn [^double v]
+                                                       [(int (quot v 1.0))
+                                                        (mod v 1.0)]))
+    (tc/ungroup))
                
 
                _unnamed [9 5]:
                
 
 
 
 
 
                
@@ -13360,9 +13636,9 @@ 
                Separate
                Separate using separator returning sequence of maps.
                
-
                (tc/separate-column DS :V3 (fn [^double v]
-                              {:int-part (int (quot v 1.0))
-                               :fract-part (mod v 1.0)}))
                
+
                (tc/separate-column DS :V3 (fn [^double v]
+                              {:int-part (int (quot v 1.0))
+                               :fract-part (mod v 1.0)}))
                
 
                _unnamed [9 5]:
                
 
 
 
 
 
                
@@ -13443,9 +13719,9 @@ 
                Separate
                
 
                
 
                Keeping all columns
                
 
                
-
                (tc/separate-column DS :V3 nil (fn [^double v]
-                                  {:int-part (int (quot v 1.0))
-                                   :fract-part (mod v 1.0)}) {:drop-column? false})
                
+
                (tc/separate-column DS :V3 nil (fn [^double v]
+                                  {:int-part (int (quot v 1.0))
+                                   :fract-part (mod v 1.0)}) {:drop-column? false})
                
 
                
 
                _unnamed [9 6]:
                
 
@@ -13536,9 +13812,9 @@ 
                Separate
                
 
                
 
                Droping all colums but separated
                
 
                
-
                (tc/separate-column DS :V3 nil (fn [^double v]
-                                 {:int-part (int (quot v 1.0))
-                                  :fract-part (mod v 1.0)}) {:drop-column? :all})
                
+
                (tc/separate-column DS :V3 nil (fn [^double v]
+                                 {:int-part (int (quot v 1.0))
+                                  :fract-part (mod v 1.0)}) {:drop-column? :all})
                
 
                
 
                _unnamed [9 2]:
                
 
@@ -13589,8 +13865,8 @@ 
                Separate
                
 
                
 
                Infering column names
                
 
                
-
                (tc/separate-column DS :V3 (fn [^double v]
-                             [(int (quot v 1.0)) (mod v 1.0)]))
                
+
                (tc/separate-column DS :V3 (fn [^double v]
+                             [(int (quot v 1.0)) (mod v 1.0)]))
                
 
                
 
                _unnamed [9 5]:
                
 
@@ -13672,9 +13948,9 @@ 
                Separate
                Join and separate together.
                
-
                (-> DSm
-    (tc/join-columns :joined [:V1 :V2 :V4] {:result-type :map})
-    (tc/separate-column :joined [:v1 :v2 :v4] (juxt :V1 :V2 :V4)))
                
+
                (-> DSm
+    (tc/join-columns :joined [:V1 :V2 :V4] {:result-type :map})
+    (tc/separate-column :joined [:v1 :v2 :v4] (juxt :V1 :V2 :V4)))
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
                
@@ -13744,9 +14020,9 @@ 
                Separate
                
 
 
                
 
                
-
                (-> DSm
-    (tc/join-columns :joined [:V1 :V2 :V4] {:result-type :seq})
-    (tc/separate-column :joined [:v1 :v2 :v4] identity))
                
+
                (-> DSm
+    (tc/join-columns :joined [:V1 :V2 :V4] {:result-type :seq})
+    (tc/separate-column :joined [:v1 :v2 :v4] identity))
                
 
                
 
                _unnamed [9 4]:
                
 
@@ -13819,19 +14095,19 @@ 
                Separate
                Tidyr examples
                separate source extract source
                
-
                (def df-separate (tc/dataset {:x [nil "a.b" "a.d" "b.c"]}))
                
+
                (def df-separate (tc/dataset {:x [nil "a.b" "a.d" "b.c"]}))
                
 
                
-
                (def df-separate2 (tc/dataset {:x ["a" "a b" nil "a b c"]}))
                
+
                (def df-separate2 (tc/dataset {:x ["a" "a b" nil "a b c"]}))
                
 
                
-
                (def df-separate3 (tc/dataset {:x ["a?b" nil "a.b" "b:c"]}))
                
+
                (def df-separate3 (tc/dataset {:x ["a?b" nil "a.b" "b:c"]}))
                
 
                
-
                (def df-extract (tc/dataset {:x [nil "a-b" "a-d" "b-c" "d-e"]}))
                
+
                (def df-extract (tc/dataset {:x [nil "a-b" "a-d" "b-c" "d-e"]}))
                
 
                
-
                df-separate
                
+
                df-separate
                
 
                _unnamed [4 1]:
                
 
 
 
 
 
 
 
 
 
                
@@ -13856,7 +14132,7 @@ 
                Tidyr examples
                
 
 
                
 
                
-
                df-separate2
                
+
                df-separate2
                
 
                
 
                _unnamed [4 1]:
                
 
@@ -13881,7 +14157,7 @@ 
                Tidyr examples
                
 
 
                
 
                
-
                df-separate3
                
+
                df-separate3
                
 
                
 
                _unnamed [4 1]:
                
 
@@ -13906,7 +14182,7 @@ 
                Tidyr examples
                
 
 
                
 
                
-
                df-extract
                
+
                df-extract
                
 
                
 
                _unnamed [5 1]:
                
 
@@ -13935,7 +14211,7 @@ 
                Tidyr examples
                
 
                
 
                
 
                
-
                (tc/separate-column df-separate :x [:A :B] "\\.")
                
+
                (tc/separate-column df-separate :x [:A :B] "\\.")
                
 
                
 
                _unnamed [4 2]:
                
 
@@ -13967,7 +14243,7 @@ 
                Tidyr examples
                You can drop columns after separation by setting nil as a name. We need second value here.
                
-
                (tc/separate-column df-separate :x [nil :B] "\\.")
                
+
                (tc/separate-column df-separate :x [nil :B] "\\.")
                
 
                _unnamed [4 1]:
                
 
 
 
 
 
                
@@ -13994,7 +14270,7 @@ 
                Tidyr examples
                Extra data is dropped
                
-
                (tc/separate-column df-separate2 :x ["a" "b"] " ")
                
+
                (tc/separate-column df-separate2 :x ["a" "b"] " ")
                
 
                _unnamed [4 2]:
                
 
 
 
 
 
                
@@ -14026,7 +14302,7 @@ 
                Tidyr examples
                Split with regular expression
                
-
                (tc/separate-column df-separate3 :x ["a" "b"] "[?\\.:]")
                
+
                (tc/separate-column df-separate3 :x ["a" "b"] "[?\\.:]")
                
 
                _unnamed [4 2]:
                
 
 
 
 
 
                
@@ -14058,7 +14334,7 @@ 
                Tidyr examples
                Or just regular expression to extract values
                
-
                (tc/separate-column df-separate3 :x ["a" "b"] #"(.).(.)")
                
+
                (tc/separate-column df-separate3 :x ["a" "b"] #"(.).(.)")
                
 
                _unnamed [4 2]:
                
 
 
 
 
 
                
@@ -14090,7 +14366,7 @@ 
                Tidyr examples
                Extract first value only
                
-
                (tc/separate-column df-extract :x ["A"] "-")
                
+
                (tc/separate-column df-extract :x ["A"] "-")
                
 
                _unnamed [5 1]:
                
 
 
 
 
 
                
@@ -14120,7 +14396,7 @@ 
                Tidyr examples
                Split with regex
                
-
                (tc/separate-column df-extract :x ["A" "B"] #"(\p{Alnum})-(\p{Alnum})")
                
+
                (tc/separate-column df-extract :x ["A" "B"] #"(\p{Alnum})-(\p{Alnum})")
                
 
                _unnamed [5 2]:
                
 
 
 
 
 
                
@@ -14156,7 +14432,7 @@ 
                Tidyr examples
                Only a,b,c,d strings
                
-
                (tc/separate-column df-extract :x ["A" "B"] #"([a-d]+)-([a-d]+)")
                
+
                (tc/separate-column df-extract :x ["A" "B"] #"([a-d]+)-([a-d]+)")
                
 
                _unnamed [5 2]:
                
 
 
 
 
 
                
@@ -14195,10 +14471,10 @@ 
                Tidyr examples
                Array column conversion
                A dataset can have as well columns of type java array. We can convert from normal columns to a single array column and back like this:
                
-
                (-> (tc/dataset {:x [(double-array [1 2 3])
-                     (double-array [4 5 6])]
-                 :y [:a :b]})
-    (tc/array-column->columns :x))
                
+
                (-> (tc/dataset {:x [(double-array [1 2 3])
+                     (double-array [4 5 6])]
+                 :y [:a :b]})
+    (tc/array-column->columns :x))
                
 
                _unnamed [2 4]:
                
 
 
 
 
 
                
@@ -14227,10 +14503,10 @@ 
                Array column conve
 
                
 
                and the other way around:
                
 
                
-
                (-> (tc/dataset {0 [0.0 1 2]
-                 1 [3.0 4 5]
-                 :x [:a :b :c]})
-    (tc/columns->array-column [0 1] :y))
                
+
                (-> (tc/dataset {0 [0.0 1 2]
+                 1 [3.0 4 5]
+                 :x [:a :b :c]})
+    (tc/columns->array-column [0 1] :y))
                
 
                
 
                _unnamed [3 2]:
                
 
@@ -14243,15 +14519,15 @@ 
                Array column conve
 
                
-
+
-
+
-
+
                
 
                
 :a[D@3b1f65f0[D@748f75f8
 
                
 
                
 :b[D@5175581a[D@16b3665b
 
                
 
                
 :c[D@13c60300[D@7515921b
 
                
                 
 
                
@@ -14265,7 +14541,7 @@ 
                Fold/Unroll Rows
                
 
                Fold-by
                
 
                Group-by and pack columns into vector
                
 
                
-
                (tc/fold-by DS [:V3 :V4 :V1])
                
+
                (tc/fold-by DS [:V3 :V4 :V1])
                
 
                
 
                _unnamed [6 4]:
                
 
@@ -14319,7 +14595,7 @@ 
                Fold-by
                You can pack several columns at once.
                
-
                (tc/fold-by DS [:V4])
                
+
                (tc/fold-by DS [:V4])
                
 
                _unnamed [3 4]:
                
 
 
 
 
 
                
@@ -14355,7 +14631,7 @@ 
                Fold-by
                You can use custom packing function
                
-
                (tc/fold-by DS [:V4] seq)
                
+
                (tc/fold-by DS [:V4] seq)
                
 
                _unnamed [3 4]:
                
 
 
 
 
 
                
@@ -14390,7 +14666,7 @@ 
                Fold-by
                
 
                
 
                or
                
 
                
-
                (tc/fold-by DS [:V4] set)
                
+
                (tc/fold-by DS [:V4] set)
                
 
                
 
                _unnamed [3 4]:
                
 
@@ -14426,10 +14702,10 @@ 
                Fold-by
                This works also on grouped dataset
                
-
                (-> DS
-    (tc/group-by :V1)
-    (tc/fold-by :V4)
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by :V1)
+    (tc/fold-by :V4)
+    (tc/ungroup))
                
 
                _unnamed [6 4]:
                
 
 
 
 
 
                
@@ -14492,7 +14768,7 @@ 
                Unroll
                Unroll one column
                
-
                (tc/unroll (tc/fold-by DS [:V4]) [:V1])
                
+
                (tc/unroll (tc/fold-by DS [:V4]) [:V1])
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
                
@@ -14564,7 +14840,7 @@ 
                Unroll
                Unroll all folded columns
                
-
                (tc/unroll (tc/fold-by DS [:V4]) [:V1 :V2 :V3])
                
+
                (tc/unroll (tc/fold-by DS [:V4]) [:V1 :V2 :V3])
                
 
                _unnamed [9 4]:
                
 
 
 
 
 
                
@@ -14636,10 +14912,10 @@ 
                Unroll
                Unroll one by one leads to cartesian product
                
-
                (-> DS
-    (tc/fold-by [:V4 :V1])
-    (tc/unroll [:V2])
-    (tc/unroll [:V3]))
                
+
                (-> DS
+    (tc/fold-by [:V4 :V1])
+    (tc/unroll [:V2])
+    (tc/unroll [:V3]))
                
 
                _unnamed [15 4]:
                
 
 
 
 
 
                
@@ -14747,7 +15023,7 @@ 
                Unroll
                You can add indexes
                
-
                (tc/unroll (tc/fold-by DS [:V1]) [:V4 :V2 :V3] {:indexes? true})
                
+
                (tc/unroll (tc/fold-by DS [:V1]) [:V4 :V2 :V3] {:indexes? true})
                
 
                _unnamed [9 5]:
                
 
 
 
 
 
                
@@ -14827,7 +15103,7 @@ 
                Unroll
                
 
 
                
 
                
-
                (tc/unroll (tc/fold-by DS [:V1]) [:V4 :V2 :V3] {:indexes? "vector idx"})
                
+
                (tc/unroll (tc/fold-by DS [:V1]) [:V4 :V2 :V3] {:indexes? "vector idx"})
                
 
                
 
                _unnamed [9 5]:
                
 
@@ -14909,12 +15185,12 @@ 
                Unroll
                You can also force datatypes
                
-
                (-> DS
-    (tc/fold-by [:V1])
-    (tc/unroll [:V4 :V2 :V3] {:datatypes {:V4 :string
-                                           :V2 :int16
-                                           :V3 :float32}})
-    (tc/info :columns))
                
+
                (-> DS
+    (tc/fold-by [:V1])
+    (tc/unroll [:V4 :V2 :V3] {:datatypes {:V4 :string
+                                           :V2 :int16
+                                           :V3 :float32}})
+    (tc/info :columns))
                
 
                _unnamed :column info [4 4]:
                
 
 
 
 
 
                
@@ -14956,11 +15232,11 @@ 
                Unroll
                This works also on grouped dataset
                
-
                (-> DS
-    (tc/group-by :V1)
-    (tc/fold-by [:V1 :V4])
-    (tc/unroll :V3 {:indexes? true})
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by :V1)
+    (tc/fold-by [:V1 :V4])
+    (tc/unroll :V3 {:indexes? true})
+    (tc/ungroup))
                
 
                _unnamed [9 5]:
                
 
 
 
 
 
                
@@ -15077,10 +15353,10 @@ 
                Longer
                Create rows from all columns but "religion".
                
-
                (def relig-income (tc/dataset "data/relig_income.csv"))
                
+
                (def relig-income (tc/dataset "data/relig_income.csv"))
                
 
                
-
                relig-income
                
+
                relig-income
                
 
                data/relig_income.csv [18 11]:
                
 
 
 
 
 
 
                
@@ -15350,7 +15626,7 @@ 
                Longer
                
 
 
                
 
                
-
                (tc/pivot->longer relig-income (complement #{"religion"}))
                
+
                (tc/pivot->longer relig-income (complement #{"religion"}))
                
 
                
 
                data/relig_income.csv [180 3]:
                
 
@@ -15477,15 +15753,15 @@ 
                Longer
                Convert only columns starting with "wk" and pack them into :week column, values go to :rank column
                
-
                (def bilboard (-> (tc/dataset "data/billboard.csv.gz")
-                  (tc/drop-columns :type/boolean)))
                
+
                (def bilboard (-> (tc/dataset "data/billboard.csv.gz")
+                  (tc/drop-columns :type/boolean)))
                
 
                drop some boolean columns, tidyr just skips them
                
-
                (->> bilboard
-     (tc/column-names)
-     (take 13)
-     (tc/select-columns bilboard))
                
+
                (->> bilboard
+     (tc/column-names)
+     (take 13)
+     (tc/select-columns bilboard))
                
 
                data/billboard.csv.gz [317 13]:
                
 
 
 
 
 
 
 
                
@@ -15855,8 +16131,8 @@ 
                Longer
                
 
 
                
 
                
-
                (tc/pivot->longer bilboard #(clojure.string/starts-with? % "wk") {:target-columns :week
-                                                                   :value-column-name :rank})
                
+
                (tc/pivot->longer bilboard #(clojure.string/starts-with? % "wk") {:target-columns :week
+                                                                   :value-column-name :rank})
                
 
                
 
                data/billboard.csv.gz [5307 5]:
                
 
@@ -16036,10 +16312,10 @@ 
                Longer
                We can create numerical column out of column names
                
-
                (tc/pivot->longer bilboard #(clojure.string/starts-with? % "wk") {:target-columns :week
-                                                                   :value-column-name :rank
-                                                                   :splitter #"wk(.*)"
-                                                                   :datatypes {:week :int16}})
                
+
                (tc/pivot->longer bilboard #(clojure.string/starts-with? % "wk") {:target-columns :week
+                                                                   :value-column-name :rank
+                                                                   :splitter #"wk(.*)"
+                                                                   :datatypes {:week :int16}})
                
 
                data/billboard.csv.gz [5307 5]:
                
 
 
 
 
 
                
@@ -16219,13 +16495,13 @@ 
                Longer
                When column names contain observation data, such column names can be splitted and data can be restored into separate columns.
                
-
                (def who (tc/dataset "data/who.csv.gz"))
                
+
                (def who (tc/dataset "data/who.csv.gz"))
                
 
                
-
                (->> who
-     (tc/column-names)
-     (take 10)
-     (tc/select-columns who))
                
+
                (->> who
+     (tc/column-names)
+     (take 10)
+     (tc/select-columns who))
                
 
                data/who.csv.gz [7240 10]:
                
 
 
 
 
 
 
                
@@ -16523,9 +16799,9 @@ 
                Longer
                
 
 
                
 
                
-
                (tc/pivot->longer who #(clojure.string/starts-with? % "new") {:target-columns [:diagnosis :gender :age]
-                                                               :splitter #"new_?(.*)_(.)(.*)"
-                                                               :value-column-name :count})
                
+
                (tc/pivot->longer who #(clojure.string/starts-with? % "new") {:target-columns [:diagnosis :gender :age]
+                                                               :splitter #"new_?(.*)_(.)(.*)"
+                                                               :value-column-name :count})
                
 
                
 
                data/who.csv.gz [76046 8]:
                
 
@@ -16777,10 +17053,10 @@ 
                Longer
                When data contains multiple observations per row, we can use splitter and pattern for target columns to create new columns and put values there. In following dataset we have two obseravations dob and gender for two childs. We want to put child infomation into the column and leave dob and gender for values.
                
-
                (def family (tc/dataset "data/family.csv"))
                
+
                (def family (tc/dataset "data/family.csv"))
                
 
                
-
                family
                
+
                family
                
 
                data/family.csv [5 5]:
                
 
 
 
 
 
 
                
@@ -16832,9 +17108,9 @@ 
                Longer
                
 
 
                
 
                
-
                (tc/pivot->longer family (complement #{"family"}) {:target-columns [nil :child]
-                                                    :splitter "_"
-                                                    :datatypes {"gender" :int16}})
                
+
                (tc/pivot->longer family (complement #{"family"}) {:target-columns [nil :child]
+                                                    :splitter "_"
+                                                    :datatypes {"gender" :int16}})
                
 
                
 
                data/family.csv [9 4]:
                
 
@@ -16906,10 +17182,10 @@ 
                Longer
                Similar here, we have two observations: x and y in four groups.
                
-
                (def anscombe (tc/dataset "data/anscombe.csv"))
                
+
                (def anscombe (tc/dataset "data/anscombe.csv"))
                
 
                
-
                anscombe
                
+
                anscombe
                
 
                data/anscombe.csv [11 8]:
                
 
 
 
 
 
 
                
@@ -17039,8 +17315,8 @@ 
                Longer
                
 
 
                
 
                
-
                (tc/pivot->longer anscombe :all {:splitter #"(.)(.)"
-                                  :target-columns [nil :set]})
                
+
                (tc/pivot->longer anscombe :all {:splitter #"(.)(.)"
+                                  :target-columns [nil :set]})
                
 
                
 
                data/anscombe.csv [44 3]:
                
 
@@ -17166,18 +17442,18 @@ 
                Longer
                
 
                
 
                
 
                
-
                ^:note-to-test/skip
-(def pnl (tc/dataset {:x [1 2 3 4]
-                       :a [1 1 0 0]
-                       :b [0 1 1 1]
-                       :y1 (repeatedly 4 rand)
-                       :y2 (repeatedly 4 rand)
-                       :z1 [3 3 3 3]
-                       :z2 [-2 -2 -2 -2]}))
                
+
                ^:note-to-test/skip
+(def pnl (tc/dataset {:x [1 2 3 4]
+                       :a [1 1 0 0]
+                       :b [0 1 1 1]
+                       :y1 (repeatedly 4 rand)
+                       :y2 (repeatedly 4 rand)
+                       :z1 [3 3 3 3]
+                       :z2 [-2 -2 -2 -2]}))
                
 
                
 
                
-
                ^:note-to-test/skip
-pnl
                
+
                ^:note-to-test/skip
+pnl
                
 
                
 
                _unnamed [4 7]:
                
 
@@ -17197,8 +17473,8 @@ 
                Longer
                
-
-
+
+
@@ -17206,8 +17482,8 @@ 
                Longer
                
-
-
+
+
@@ -17215,8 +17491,8 @@ 
                Longer
                
-
-
+
+
@@ -17224,17 +17500,17 @@ 
                Longer
                
-
-
+
+
                
 
                1
 1
 00.893620670.939546900.232476820.86040638
 3
 -2
 
                
 
                2
 1
 10.604512770.066245850.171123500.78233469
 3
 -2
 
                
 
                3
 0
 10.808201090.075430120.853341200.78209703
 3
 -2
 
                
 
                4
 0
 10.176487330.378556100.106464120.08332125
 3
 -2
 
                
                 
 
                
 
                
-
                ^:note-to-test/skip
-(tc/pivot->longer pnl [:y1 :y2 :z1 :z2] {:target-columns [nil :times]
-                                          :splitter #":(.)(.)"})
                
+
                ^:note-to-test/skip
+(tc/pivot->longer pnl [:y1 :y2 :z1 :z2] {:target-columns [nil :times]
+                                          :splitter #":(.)(.)"})
                
 
                
 
                _unnamed [8 6]:
                
 
@@ -17254,7 +17530,7 @@ 
                Longer
                
-
+
@@ -17262,7 +17538,7 @@ 
                Longer
                
-
+
@@ -17270,7 +17546,7 @@ 
                Longer
                
-
+
@@ -17278,7 +17554,7 @@ 
                Longer
                
-
+
@@ -17286,7 +17562,7 @@ 
                Longer
                
-
+
@@ -17294,7 +17570,7 @@ 
                Longer
                
-
+
@@ -17302,7 +17578,7 @@ 
                Longer
                
-
+
@@ -17310,7 +17586,7 @@ 
                Longer
                
-
+
@@ -17331,10 +17607,10 @@ 
                Wider
                Use station as a name source for columns and seen for values
                
-
                (def fish (tc/dataset "data/fish_encounters.csv"))
                
+
                (def fish (tc/dataset "data/fish_encounters.csv"))
                
 
                
-
                fish
                
+
                fish
                
 
                data/fish_encounters.csv [114 3]:
                
 
                1
 0
 10.893620670.23247682
 3
 
                
 
                
 1
 1
 10.604512770.17112350
 3
 
                
 
                
 0
 1
 10.808201090.85334120
 3
 
                
 
                
 0
 1
 10.176487330.10646412
 3
 
                
 
                
 1
 0
 20.939546900.86040638
 -2
 
                
 
                
 1
 1
 20.066245850.78233469
 -2
 
                
 
                
 0
 1
 20.075430120.78209703
 -2
 
                
 
                
 0
 1
 20.378556100.08332125
 -2
 
                
                 
 
 
 
 
 
 
                
@@ -17459,7 +17735,7 @@ 
                Wider
                
 
 
                
 
                
-
                (tc/pivot->wider fish "station" "seen" {:drop-missing? false})
                
+
                (tc/pivot->wider fish "station" "seen" {:drop-missing? false})
                
 
                
 
                data/fish_encounters.csv [19 12]:
                
 
@@ -17765,10 +18041,10 @@ 
                Wider
                If selected columns contain multiple values, such values should be folded.
                
-
                (def warpbreaks (tc/dataset "data/warpbreaks.csv"))
                
+
                (def warpbreaks (tc/dataset "data/warpbreaks.csv"))
                
 
                
-
                warpbreaks
                
+
                warpbreaks
                
 
                data/warpbreaks.csv [54 3]:
                
 
 
 
 
 
 
                
@@ -17894,9 +18170,9 @@ 
                Wider
                
 
                
 
                Let’s see how many values are for each type of wool and tension groups
                
 
                
-
                (-> warpbreaks
-    (tc/group-by ["wool" "tension"])
-    (tc/aggregate {:n tc/row-count}))
                
+
                (-> warpbreaks
+    (tc/group-by ["wool" "tension"])
+    (tc/aggregate {:n tc/row-count}))
                
 
                
 
                _unnamed [6 3]:
                
 
@@ -17941,9 +18217,9 @@ 
                Wider
                
 
 
                
 
                
-
                (-> warpbreaks
-    (tc/reorder-columns ["wool" "tension" "breaks"])
-    (tc/pivot->wider "wool" "breaks" {:fold-fn vec}))
                
+
                (-> warpbreaks
+    (tc/reorder-columns ["wool" "tension" "breaks"])
+    (tc/pivot->wider "wool" "breaks" {:fold-fn vec}))
                
 
                
 
                data/warpbreaks.csv [3 3]:
                
 
@@ -17979,9 +18255,9 @@ 
                Wider
                
 
                
 
                We can also calculate mean (aggreate values)
                
 
                
-
                (-> warpbreaks
-    (tc/reorder-columns ["wool" "tension" "breaks"])
-    (tc/pivot->wider "wool" "breaks" {:fold-fn tech.v3.datatype.functional/mean}))
                
+
                (-> warpbreaks
+    (tc/reorder-columns ["wool" "tension" "breaks"])
+    (tc/pivot->wider "wool" "breaks" {:fold-fn tech.v3.datatype.functional/mean}))
                
 
                
 
                data/warpbreaks.csv [3 3]:
                
 
@@ -18013,10 +18289,10 @@ 
                Wider
                Multiple source columns, joined with default separator.
                
-
                (def production (tc/dataset "data/production.csv"))
                
+
                (def production (tc/dataset "data/production.csv"))
                
 
                
-
                production
                
+
                production
                
 
                data/production.csv [45 4]:
                
 
 
 
 
 
 
                
@@ -18164,7 +18440,7 @@ 
                Wider
                
 
 
                
 
                
-
                (tc/pivot->wider production ["product" "country"] "production")
                
+
                (tc/pivot->wider production ["product" "country"] "production")
                
 
                
 
                data/production.csv [15 4]:
                
 
@@ -18271,7 +18547,7 @@ 
                Wider
                
 
                
 
                Joined with custom function
                
 
                
-
                (tc/pivot->wider production ["product" "country"] "production" {:concat-columns-with vec})
                
+
                (tc/pivot->wider production ["product" "country"] "production" {:concat-columns-with vec})
                
 
                
 
                data/production.csv [15 4]:
                
 
@@ -18379,10 +18655,10 @@ 
                Wider
                Multiple value columns
                
-
                (def income (tc/dataset "data/us_rent_income.csv"))
                
+
                (def income (tc/dataset "data/us_rent_income.csv"))
                
 
                
-
                income
                
+
                income
                
 
                data/us_rent_income.csv [104 5]:
                
 
 
 
 
 
 
                
@@ -18553,7 +18829,7 @@ 
                Wider
                
 
 
                
 
                
-
                (tc/pivot->wider income "variable" ["estimate" "moe"] {:drop-missing? false})
                
+
                (tc/pivot->wider income "variable" ["estimate" "moe"] {:drop-missing? false})
                
 
                
 
                data/us_rent_income.csv [52 6]:
                
 
@@ -18756,9 +19032,9 @@ 
                Wider
                
 
                
 
                Value concatenated by custom function
                
 
                
-
                (tc/pivot->wider income "variable" ["estimate" "moe"] {:concat-columns-with vec
-                                                        :concat-value-with vector
-                                                        :drop-missing? false})
                
+
                (tc/pivot->wider income "variable" ["estimate" "moe"] {:concat-columns-with vec
+                                                        :concat-value-with vector
+                                                        :drop-missing? false})
                
 
                
 
                data/us_rent_income.csv [52 6]:
                
 
@@ -18962,10 +19238,10 @@ 
                Wider
                Reshape contact data
                
-
                (def contacts (tc/dataset "data/contacts.csv"))
                
+
                (def contacts (tc/dataset "data/contacts.csv"))
                
 
                
-
                contacts
                
+
                contacts
                
 
                data/contacts.csv [6 3]:
                
 
 
 
 
 
 
                
@@ -19010,7 +19286,7 @@ 
                Wider
                
 
 
                
 
                
-
                (tc/pivot->wider contacts "field" "value" {:drop-missing? false})
                
+
                (tc/pivot->wider contacts "field" "value" {:drop-missing? false})
                
 
                
 
                data/contacts.csv [3 4]:
                
 
@@ -19050,13 +19326,13 @@ 
                Reshaping
                World bank
                
-
                (def world-bank-pop (tc/dataset "data/world_bank_pop.csv.gz"))
                
+
                (def world-bank-pop (tc/dataset "data/world_bank_pop.csv.gz"))
                
 
                
-
                (->> world-bank-pop
-     (tc/column-names)
-     (take 8)
-     (tc/select-columns world-bank-pop))
                
+
                (->> world-bank-pop
+     (tc/column-names)
+     (take 8)
+     (tc/select-columns world-bank-pop))
                
 
                data/world_bank_pop.csv.gz [1056 8]:
                
 
 
 
 
 
 
                
@@ -19307,12 +19583,12 @@ 
                Reshaping
                
 
                
 
                Step 1 - convert years column into values
                
 
                
-
                (def pop2 (tc/pivot->longer world-bank-pop (map str (range 2000 2018)) {:drop-missing? false
-                                                                         :target-columns ["year"]
-                                                                         :value-column-name "value"}))
                
+
                (def pop2 (tc/pivot->longer world-bank-pop (map str (range 2000 2018)) {:drop-missing? false
+                                                                         :target-columns ["year"]
+                                                                         :value-column-name "value"}))
                
 
                
 
                
-
                pop2
                
+
                pop2
                
 
                
 
                data/world_bank_pop.csv.gz [19008 4]:
                
 
@@ -19461,12 +19737,12 @@ 
                Reshaping
                
 
                
 
                Step 2 - separate "indicate" column
                
 
                
-
                (def pop3 (tc/separate-column pop2
-                               "indicator" ["area" "variable"]
-                               #(rest (clojure.string/split % #"\."))))
                
+
                (def pop3 (tc/separate-column pop2
+                               "indicator" ["area" "variable"]
+                               #(rest (clojure.string/split % #"\."))))
                
 
                
 
                
-
                pop3
                
+
                pop3
                
 
                
 
                data/world_bank_pop.csv.gz [19008 5]:
                
 
@@ -19638,7 +19914,7 @@ 
                Reshaping
                
 
                
 
                Step 3 - Make columns based on "variable" values.
                
 
                
-
                (tc/pivot->wider pop3 "variable" "value" {:drop-missing? false})
                
+
                (tc/pivot->wider pop3 "variable" "value" {:drop-missing? false})
                
 
                
 
                data/world_bank_pop.csv.gz [9504 5]:
                
 
@@ -19812,13 +20088,13 @@ 
                Reshaping
                Multi-choice
                
-
                (def multi (tc/dataset {:id [1 2 3 4]
-                         :choice1 ["A" "C" "D" "B"]
-                         :choice2 ["B" "B" nil "D"]
-                         :choice3 ["C" nil nil nil]}))
                
+
                (def multi (tc/dataset {:id [1 2 3 4]
+                         :choice1 ["A" "C" "D" "B"]
+                         :choice2 ["B" "B" nil "D"]
+                         :choice3 ["C" nil nil nil]}))
                
 
                
-
                multi
                
+
                multi
                
 
                _unnamed [4 4]:
                
 
 
 
 
 
 
                
@@ -19859,12 +20135,12 @@ 
                Reshaping
                
 
                
 
                Step 1 - convert all choices into rows and add artificial column to all values which are not missing.
                
 
                
-
                (def multi2 (-> multi
-                (tc/pivot->longer (complement #{:id}))
-                (tc/add-column :checked true)))
                
+
                (def multi2 (-> multi
+                (tc/pivot->longer (complement #{:id}))
+                (tc/add-column :checked true)))
                
 
                
 
                
-
                multi2
                
+
                multi2
                
 
                
 
                _unnamed [8 4]:
                
 
@@ -19929,11 +20205,11 @@ 
                Reshaping
                
 
                
 
                Step 2 - Convert back to wide form with actual choices as columns
                
 
                
-
                ^:note-to-test/skip
-(-> multi2
-    (tc/drop-columns :$column)
-    (tc/pivot->wider :$value :checked {:drop-missing? false})
-    (tc/order-by :id))
                
+
                ^:note-to-test/skip
+(-> multi2
+    (tc/drop-columns :$column)
+    (tc/pivot->wider :$value :checked {:drop-missing? false})
+    (tc/order-by :id))
                
 
                
 
                _unnamed [4 5]:
                
 
@@ -19981,15 +20257,15 @@ 
                Reshaping
                Construction
                
-
                (def construction (tc/dataset "data/construction.csv"))
                
+
                (def construction (tc/dataset "data/construction.csv"))
                
 
                
-
                (def construction-unit-map {"1 unit" "1"
-                            "2 to 4 units" "2-4"
-                            "5 units or more" "5+"})
                
+
                (def construction-unit-map {"1 unit" "1"
+                            "2 to 4 units" "2-4"
+                            "5 units or more" "5+"})
                
 
                
-
                construction
                
+
                construction
                
 
                data/construction.csv [9 9]:
                
 
 
 
 
 
 
 
                
@@ -20121,14 +20397,14 @@ 
                Reshaping
                
 
                
 
                Conversion 1 - Group two column types
                
 
                
-
                (-> construction
-    (tc/pivot->longer #"^[125NWS].*|Midwest" {:target-columns [:units :region]
-                                               :splitter (fn [col-name]
-                                                           (if (re-matches #"^[125].*" col-name)
-                                                             [(construction-unit-map col-name) nil]
-                                                             [nil col-name]))
-                                               :value-column-name :n
-                                               :drop-missing? false}))
                
+
                (-> construction
+    (tc/pivot->longer #"^[125NWS].*|Midwest" {:target-columns [:units :region]
+                                               :splitter (fn [col-name]
+                                                           (if (re-matches #"^[125].*" col-name)
+                                                             [(construction-unit-map col-name) nil]
+                                                             [nil col-name]))
+                                               :value-column-name :n
+                                               :drop-missing? false}))
                
 
                
 
                data/construction.csv [63 5]:
                
 
@@ -20300,17 +20576,17 @@ 
                Reshaping
                
 
                
 
                Conversion 2 - Convert to longer form and back and rename columns
                
 
                
-
                (-> construction
-    (tc/pivot->longer #"^[125NWS].*|Midwest" {:target-columns [:units :region]
-                                               :splitter (fn [col-name]
-                                                           (if (re-matches #"^[125].*" col-name)
-                                                             [(construction-unit-map col-name) nil]
-                                                             [nil col-name]))
-                                               :value-column-name :n
-                                               :drop-missing? false})
-    (tc/pivot->wider [:units :region] :n {:drop-missing? false})
-    (tc/rename-columns (zipmap (vals construction-unit-map)
-                                (keys construction-unit-map))))
                
+
                (-> construction
+    (tc/pivot->longer #"^[125NWS].*|Midwest" {:target-columns [:units :region]
+                                               :splitter (fn [col-name]
+                                                           (if (re-matches #"^[125].*" col-name)
+                                                             [(construction-unit-map col-name) nil]
+                                                             [nil col-name]))
+                                               :value-column-name :n
+                                               :drop-missing? false})
+    (tc/pivot->wider [:units :region] :n {:drop-missing? false})
+    (tc/rename-columns (zipmap (vals construction-unit-map)
+                                (keys construction-unit-map))))
                
 
                
 
                data/construction.csv [9 9]:
                
 
@@ -20443,10 +20719,10 @@ 
                Reshaping
                Various operations on stocks, examples taken from gather and spread manuals.
                
-
                (def stocks-tidyr (tc/dataset "data/stockstidyr.csv"))
                
+
                (def stocks-tidyr (tc/dataset "data/stockstidyr.csv"))
                
 
                
-
                stocks-tidyr
                
+
                stocks-tidyr
                
 
                data/stockstidyr.csv [10 4]:
                
 
 
 
 
 
 
                
@@ -20523,11 +20799,11 @@ 
                Reshaping
                
 
                
 
                Convert to longer form
                
 
                
-
                (def stocks-long (tc/pivot->longer stocks-tidyr ["X" "Y" "Z"] {:value-column-name :price
-                                                                :target-columns :stocks}))
                
+
                (def stocks-long (tc/pivot->longer stocks-tidyr ["X" "Y" "Z"] {:value-column-name :price
+                                                                :target-columns :stocks}))
                
 
                
 
                
-
                stocks-long
                
+
                stocks-long
                
 
                
 
                data/stockstidyr.csv [30 3]:
                
 
@@ -20653,7 +20929,7 @@ 
                Reshaping
                
 
                
 
                Convert back to wide form
                
 
                
-
                (tc/pivot->wider stocks-long :stocks :price)
                
+
                (tc/pivot->wider stocks-long :stocks :price)
                
 
                
 
                data/stockstidyr.csv [10 4]:
                
 
@@ -20730,10 +21006,10 @@ 
                Reshaping
                
 
                
 
                Convert to wide form on time column (let’s limit values to a couple of rows)
                
 
                
-
                ^:note-to-test/skip
-(-> stocks-long
-    (tc/select-rows (range 0 30 4))
-    (tc/pivot->wider "time" :price {:drop-missing? false}))
                
+
                ^:note-to-test/skip
+(-> stocks-long
+    (tc/select-rows (range 0 30 4))
+    (tc/pivot->wider "time" :price {:drop-missing? false}))
                
 
                
 
                data/stockstidyr.csv [3 6]:
                
 
@@ -20801,19 +21077,19 @@ 
                Join/Concat DatasetsTo add two datasets columnwise use bind. The number of rows should be equal.
                
 
                Datasets used in examples:
                
 
                
-
                (def ds1 (tc/dataset {:a [1 2 1 2 3 4 nil nil 4]
-                       :b (range 101 110)
-                       :c (map str "abs tract")}))
                
+
                (def ds1 (tc/dataset {:a [1 2 1 2 3 4 nil nil 4]
+                       :b (range 101 110)
+                       :c (map str "abs tract")}))
                
 
                
 
                
-
                (def ds2 (tc/dataset {:a [nil 1 2 5 4 3 2 1 nil]
-                      :b (range 110 101 -1)
-                      :c (map str "datatable")
-                      :d (symbol "X")
-                      :e [3 4 5 6 7 nil 8 1 1]}))
                
+
                (def ds2 (tc/dataset {:a [nil 1 2 5 4 3 2 1 nil]
+                      :b (range 110 101 -1)
+                      :c (map str "datatable")
+                      :d (symbol "X")
+                      :e [3 4 5 6 7 nil 8 1 1]}))
                
 
                
 
                
-
                ds1
                
+
                ds1
                
 
                
 
                _unnamed [9 3]:
                
 
                
@@ -20873,7 +21149,7 @@ 
                Join/Concat Datasets
 
                
 
                
-
                ds2
                
+
                ds2
                
 
                
 
                _unnamed [9 5]:
                
 
@@ -20955,7 +21231,7 @@ 
                Join/Concat Datasets
 
                Left
                
-
                (tc/left-join ds1 ds2 :b)
                
+
                (tc/left-join ds1 ds2 :b)
                
 
                left-outer-join [9 8]:
                
 
 
 
                
@@ -21066,7 +21342,7 @@ 
                Left
                
 
                
 
                
 
                
-
                (tc/left-join ds2 ds1 :b)
                
+
                (tc/left-join ds2 ds1 :b)
                
 
                
 
                left-outer-join [9 8]:
                
 
@@ -21177,7 +21453,7 @@ 
                Left
                
 
                
 
                
 
                
-
                (tc/left-join ds1 ds2 [:a :b])
                
+
                (tc/left-join ds1 ds2 [:a :b])
                
 
                
 
                left-outer-join [9 8]:
                
 
@@ -21288,7 +21564,7 @@ 
                Left
                
 
                
 
                
 
                
-
                (tc/left-join ds2 ds1 [:a :b])
                
+
                (tc/left-join ds2 ds1 [:a :b])
                
 
                
 
                left-outer-join [9 8]:
                
 
@@ -21399,7 +21675,7 @@ 
                Left
                
 
                
 
                
 
                
-
                (tc/left-join ds1 ds2 {:left :a :right :e})
                
+
                (tc/left-join ds1 ds2 {:left :a :right :e})
                
 
                
 
                left-outer-join [11 8]:
                
 
@@ -21526,31 +21802,11 @@ 
                Left
                
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
                
 
                
 
 
                107a
                108c
                
                 
 
                
 
                
 
                
-
                (tc/left-join ds2 ds1 {:left :e :right :a})
                
+
                (tc/left-join ds2 ds1 {:left :e :right :a})
                
 
                
 
                left-outer-join [13 8]:
                
 
@@ -21703,7 +21959,7 @@ 
                Left
                
 
                
@@ -21814,7 +22070,7 @@ 
                Right
                
 
                
 
                
 
                
-
                (tc/right-join ds2 ds1 :b)
                
+
                (tc/right-join ds2 ds1 :b)
                
 
                
 
                right-outer-join [9 8]:
                
 
@@ -21925,7 +22181,7 @@ 
                Right
                
 
                
 
                
 
                
-
                (tc/right-join ds1 ds2 [:a :b])
                
+
                (tc/right-join ds1 ds2 [:a :b])
                
 
                
 
                right-outer-join [9 8]:
                
 
@@ -22036,7 +22292,7 @@ 
                Right
                
 
                
 
                
 
                
-
                (tc/right-join ds2 ds1 [:a :b])
                
+
                (tc/right-join ds2 ds1 [:a :b])
                
 
                
 
                right-outer-join [9 8]:
                
 
@@ -22147,7 +22403,7 @@ 
                Right
                
 
                
 
                
 
                
-
                (tc/right-join ds1 ds2 {:left :a :right :e})
                
+
                (tc/right-join ds1 ds2 {:left :a :right :e})
                
 
                
 
                right-outer-join [13 8]:
                
 
@@ -22298,7 +22554,7 @@ 
                Right
                
 
                
 
                
 
                
-
                (tc/right-join ds2 ds1 {:left :e :right :a})
                
+
                (tc/right-join ds2 ds1 {:left :e :right :a})
                
 
                
 
                right-outer-join [11 8]:
                
 
@@ -22425,33 +22681,13 @@ 
                Right
                
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
                
 
                104
 
 
                107a
                108c
                
                 
 
                
 
                
 
                
 
                Inner
                
 
                
-
                (tc/inner-join ds1 ds2 :b)
                
+
                (tc/inner-join ds1 ds2 :b)
                
 
                
 
                inner-join [8 7]:
                
 
@@ -22543,7 +22779,7 @@ 
                Inner
                
 
                
 
                
 
                
-
                (tc/inner-join ds2 ds1 :b)
                
+
                (tc/inner-join ds2 ds1 :b)
                
 
                
 
                inner-join [8 7]:
                
 
@@ -22635,7 +22871,7 @@ 
                Inner
                
 
                
 
                
 
                
-
                (tc/inner-join ds1 ds2 [:a :b])
                
+
                (tc/inner-join ds1 ds2 [:a :b])
                
 
                
 
                inner-join [4 8]:
                
 
@@ -22696,7 +22932,7 @@ 
                Inner
                
 
                
 
                
 
                
-
                (tc/inner-join ds2 ds1 [:a :b])
                
+
                (tc/inner-join ds2 ds1 [:a :b])
                
 
                
 
                inner-join [4 8]:
                
 
@@ -22757,7 +22993,7 @@ 
                Inner
                
 
                
 
                
 
                
-
                (tc/inner-join ds1 ds2 {:left :a :right :e})
                
+
                (tc/inner-join ds1 ds2 {:left :a :right :e})
                
 
                
 
                inner-join [9 7]:
                
 
@@ -22858,7 +23094,7 @@ 
                Inner
                
 
                
 
                
 
                
-
                (tc/inner-join ds2 ds1 {:left :e :right :a})
                
+
                (tc/inner-join ds2 ds1 {:left :e :right :a})
                
 
                
 
                inner-join [9 7]:
                
 
@@ -22962,7 +23198,7 @@ 
                Inner
                Full
                Join keeping all rows
                
-
                (tc/full-join ds1 ds2 :b)
                
+
                (tc/full-join ds1 ds2 :b)
                
 
                outer-join [10 7]:
                
 
 
 
 
 
                
@@ -23072,7 +23308,7 @@ 
                Full
                
 
                
 
                
 
                
-
                (tc/full-join ds2 ds1 :b)
                
+
                (tc/full-join ds2 ds1 :b)
                
 
                
 
                outer-join [10 7]:
                
 
@@ -23182,7 +23418,7 @@ 
                Full
                
 
                
 
                
 
                
-
                (tc/full-join ds1 ds2 [:a :b])
                
+
                (tc/full-join ds1 ds2 [:a :b])
                
 
                
 
                outer-join [14 8]:
                
 
@@ -23343,7 +23579,7 @@ 
                Full
                
 
                
 
                
 
                
-
                (tc/full-join ds2 ds1 [:a :b])
                
+
                (tc/full-join ds2 ds1 [:a :b])
                
 
                
 
                outer-join [14 8]:
                
 
@@ -23504,7 +23740,7 @@ 
                Full
                
 
                
 
                
 
                
-
                (tc/full-join ds1 ds2 {:left :a :right :e})
                
+
                (tc/full-join ds1 ds2 {:left :a :right :e})
                
 
                
 
                outer-join [15 8]:
                
 
@@ -23675,7 +23911,7 @@ 
                Full
                
 
                
 
                
 
                
-
                (tc/full-join ds2 ds1 {:left :e :right :a})
                
+
                (tc/full-join ds2 ds1 {:left :e :right :a})
                
 
                
 
                outer-join [15 8]:
                
 
@@ -23849,7 +24085,7 @@ 
                Full
                Semi
                Return rows from ds1 matching ds2
                
-
                (tc/semi-join ds1 ds2 :b)
                
+
                (tc/semi-join ds1 ds2 :b)
                
 
                _unnamed [8 3]:
                
 
 
 
 
 
                
@@ -23905,7 +24141,7 @@ 
                Semi
                
 
                
 
                
 
                
-
                (tc/semi-join ds2 ds1 :b)
                
+
                (tc/semi-join ds2 ds1 :b)
                
 
                
 
                _unnamed [8 5]:
                
 
@@ -23979,7 +24215,7 @@ 
                Semi
                
 
                
 
                
 
                
-
                (tc/semi-join ds1 ds2 [:a :b])
                
+
                (tc/semi-join ds1 ds2 [:a :b])
                
 
                
 
                _unnamed [4 3]:
                
 
@@ -24015,7 +24251,7 @@ 
                Semi
                
 
                
 
                
 
                
-
                (tc/semi-join ds2 ds1 [:a :b])
                
+
                (tc/semi-join ds2 ds1 [:a :b])
                
 
                
 
                _unnamed [4 5]:
                
 
@@ -24061,7 +24297,7 @@ 
                Semi
                
 
                
 
                
 
                
-
                (tc/semi-join ds1 ds2 {:left :a :right :e})
                
+
                (tc/semi-join ds1 ds2 {:left :a :right :e})
                
 
                
 
                _unnamed [7 3]:
                
 
@@ -24108,21 +24344,11 @@ 
                Semi
                
-
-
-
-
-
-
-
-
-
-
                
 
                103
 s
 
                107a
                108c
                
                 
 
                
 
                
 
                
-
                (tc/semi-join ds2 ds1 {:left :e :right :a})
                
+
                (tc/semi-join ds2 ds1 {:left :e :right :a})
                
 
                
 
                _unnamed [5 5]:
                
 
@@ -24178,7 +24404,7 @@ 
                Semi
                Anti
                Return rows from ds1 not matching ds2
                
-
                (tc/anti-join ds1 ds2 :b)
                
+
                (tc/anti-join ds1 ds2 :b)
                
 
                _unnamed [1 3]:
                
 
 
 
 
 
                
@@ -24199,7 +24425,7 @@ 
                Anti
                
 
                
 
                
 
                
-
                (tc/anti-join ds2 ds1 :b)
                
+
                (tc/anti-join ds2 ds1 :b)
                
 
                
 
                _unnamed [1 5]:
                
 
@@ -24224,7 +24450,7 @@ 
                Anti
                
 
                
 
                
 
                
-
                (tc/anti-join ds1 ds2 [:a :b])
                
+
                (tc/anti-join ds1 ds2 [:a :b])
                
 
                
 
                _unnamed [5 3]:
                
 
@@ -24265,7 +24491,7 @@ 
                Anti
                
 
                
 
                
 
                
-
                (tc/anti-join ds1 ds2 {:left :a :right :e})
                
+
                (tc/anti-join ds1 ds2 {:left :a :right :e})
                
 
                
 
                _unnamed [2 3]:
                
 
@@ -24291,7 +24517,7 @@ 
                Anti
                
 
                
 
                
 
                
-
                (tc/anti-join ds2 ds1 {:left :e :right :a})
                
+
                (tc/anti-join ds2 ds1 {:left :e :right :a})
                
 
                
 
                _unnamed [4 5]:
                
 
@@ -24341,7 +24567,7 @@ 
                Hashing
                When :hashing option is used, data from join columns are preprocessed by applying join-columns funtion with :result-type set to the value of :hashing. This helps to create custom joining behaviour. Function used for hashing will get vector of row values from join columns.
                In the following example we will join columns on value modulo 5.
                
-
                (tc/left-join ds1 ds2 :b {:hashing (fn [[v]] (mod v 5))})
                
+
                (tc/left-join ds1 ds2 :b {:hashing (fn [[v]] (mod v 5))})
                
 
                left-outer-join [16 8]:
                
 
 
 
 
 
                
@@ -24525,7 +24751,7 @@ 
                Hashing
                Cross
                Cross product from selected columns
                
-
                (tc/cross-join ds1 ds2 [:a :b])
                
+
                (tc/cross-join ds1 ds2 [:a :b])
                
 
                cross-join [81 4]:
                
 
 
 
 
 
                
@@ -24674,7 +24900,7 @@ 
                Cross
                
 
                
 
                
 
                
-
                (tc/cross-join ds1 ds2 {:left [:a :b] :right :e})
                
+
                (tc/cross-join ds1 ds2 {:left [:a :b] :right :e})
                
 
                
 
                cross-join [81 3]:
                
 
@@ -24803,7 +25029,7 @@ 
                Cross
                Expand
                Similar to cross product but works on a single dataset.
                
-
                (tc/expand ds2 :a :c :d)
                
+
                (tc/expand ds2 :a :c :d)
                
 
                cross-join [36 3]:
                
 
 
 
 
 
                
@@ -24930,7 +25156,7 @@ 
                Expand
                Columns can be also bundled (nested) in tuples which are treated as a single entity during cross product.
                
-
                (tc/expand ds2 [:a :c] [:e :b])
                
+
                (tc/expand ds2 [:a :c] [:e :b])
                
 
                cross-join [81 4]:
                
 
 
 
 
 
                
@@ -25082,7 +25308,7 @@ 
                Expand
                Complete
                Same as expand with all other columns preserved (filled with missing values if necessary).
                
-
                (tc/complete ds2 :a :c :d)
                
+
                (tc/complete ds2 :a :c :d)
                
 
                left-outer-join [36 5]:
                
 
 
 
 
 
                
@@ -25254,7 +25480,7 @@ 
                Complete
                
 
                
 
                
 
                
-
                (tc/complete ds2 [:a :c] [:e :b])
                
+
                (tc/complete ds2 [:a :c] [:e :b])
                
 
                
 
                left-outer-join [81 5]:
                
 
@@ -25428,15 +25654,15 @@ 
                Complete
                
 
                asof
                
 
                
-
                (def left-ds (tc/dataset {:a [1 5 10]
-                          :left-val ["a" "b" "c"]}))
                
+
                (def left-ds (tc/dataset {:a [1 5 10]
+                          :left-val ["a" "b" "c"]}))
                
 
                
 
                
-
                (def right-ds (tc/dataset {:a [1 2 3 6 7]
-                           :right-val [:a :b :c :d :e]}))
                
+
                (def right-ds (tc/dataset {:a [1 2 3 6 7]
+                           :right-val [:a :b :c :d :e]}))
                
 
                
 
                
-
                left-ds
                
+
                left-ds
                
 
                
 
                _unnamed [3 2]:
                
 
                
 
                
@@ -25462,7 +25688,7 @@ 
                asof
                
 
 
                
 
                
-
                right-ds
                
+
                right-ds
                
 
                
 
                _unnamed [5 2]:
                
 
@@ -25496,7 +25722,7 @@ 
                asof
                
 
 
                
 
                
-
                (tc/asof-join left-ds right-ds :a)
                
+
                (tc/asof-join left-ds right-ds :a)
                
 
                
 
                asof-<= [3 4]:
                
 
@@ -25530,7 +25756,7 @@ 
                asof
                
 
 
                
 
                
-
                (tc/asof-join left-ds right-ds :a {:asof-op :nearest})
                
+
                (tc/asof-join left-ds right-ds :a {:asof-op :nearest})
                
 
                
 
                asof-nearest [3 4]:
                
 
@@ -25564,7 +25790,7 @@ 
                asof
                
 
 
                
 
                
-
                (tc/asof-join left-ds right-ds :a {:asof-op :>=})
                
+
                (tc/asof-join left-ds right-ds :a {:asof-op :>=})
                
 
                
 
                asof->= [3 4]:
                
 
@@ -25602,7 +25828,7 @@ 
                asof
                Concat
                contact joins rows from other datasets
                
-
                (tc/concat ds1)
                
+
                (tc/concat ds1)
                
 
                _unnamed [9 3]:
                
 
 
 
 
 
                
@@ -25664,7 +25890,7 @@ 
                Concat
                concat-copying ensures all readers are evaluated.
                
-
                (tc/concat-copying ds1)
                
+
                (tc/concat-copying ds1)
                
 
                _unnamed [9 3]:
                
 
 
 
 
 
                
@@ -25725,7 +25951,7 @@ 
                Concat
                
 
                
 
                
 
                
-
                (tc/concat ds1 (tc/drop-columns ds2 :d))
                
+
                (tc/concat ds1 (tc/drop-columns ds2 :d))
                
 
                
 
                _unnamed [18 4]:
                
 
@@ -25850,8 +26076,8 @@ 
                Concat
                
 
                
 
                
 
                
-
                ^:note-to-test/skip
-(apply tc/concat (repeatedly 3 #(tc/random DS)))
                
+
                ^:note-to-test/skip
+(apply tc/concat (repeatedly 3 #(tc/random DS)))
                
 
                
 
                _unnamed [27 4]:
                
 
@@ -25866,9 +26092,9 @@ 
                Concat
                
-
-
-
+
+
+
@@ -25877,16 +26103,16 @@ 
                Concat
                
-
-
-
-
+
+
+
+
-
-
-
-
+
+
+
+
@@ -25895,10 +26121,10 @@ 
                Concat
                
-
-
-
-
+
+
+
+
@@ -25907,22 +26133,22 @@ 
                Concat
                
-
-
-
-
+
+
+
+
-
-
-
+
+
+
-
-
-
+
+
+
@@ -25931,23 +26157,23 @@ 
                Concat
                
+
+
+
+
+
+
-
-
+
+
-
-
-
-
-
-
@@ -25956,45 +26182,45 @@ 
                Concat
                
-
-
-
+
+
+
-
-
-
+
+
+
-
-
-
-
+
+
+
+
-
+
-
-
-
+
+
+
-
-
-
+
+
+
-
-
-
+
+
+
                
 
 
                
 191.5C70.5A
 
                
 
                
 2
 C
 
                
 
                240.5A191.5C
 
                
 
                170.5A261.5C
 
                
 
                
 2
 A
 
                
 
                240.5A151.0B
 
                
 
                
 2
 C
 
                
 
                221.0B110.5A
 
                
 
                
 151.0B70.5A
 
                
 
                
 281.0B40.5A
 
                
 
                
 …
 …
 
                
 
                131.5C
                
 2
 8
 1.0
 B
 
                1
                
 17
 0.5
 A
 
                191.5C
                
 
                
 1
 7
 
                
 
                
 221.0B40.5A
 
                
 
                
 221.0B40.5A
 
                
 
                191.5C240.5A
 
                
 
                
 228
 1.0
 B
 
                
 
                
 221.0B40.5A
 
                
 
                
 261.5C81.0B
 
                
 
                
 170.5A91.5C
 
                
                 
 
                
@@ -26002,8 +26228,8 @@ 
                Concat
                
 
                Concat grouped dataset
                
 
                Concatenation of grouped datasets results also in grouped dataset.
                
 
                
-
                (tc/concat (tc/group-by DS [:V3])
-           (tc/group-by DS [:V4]))
                
+
                (tc/concat (tc/group-by DS [:V3])
+           (tc/group-by DS [:V4]))
                
 
                
 
                _unnamed [6 3]:
                
 
@@ -26053,7 +26279,7 @@ 
                Concat grouped data
 
                Union
                The same as concat but returns unique rows
                
-
                (apply tc/union (tc/drop-columns ds2 :d) (repeat 10 ds1))
                
+
                (apply tc/union (tc/drop-columns ds2 :d) (repeat 10 ds1))
                
 
                union [18 4]:
                
 
 
 
 
                
@@ -26178,8 +26404,8 @@ 
                Union
                
 
                
 
                
 
                
-
                ^:note-to-test/skip
-(apply tc/union (repeatedly 10 #(tc/random DS)))
                
+
                ^:note-to-test/skip
+(apply tc/union (repeatedly 10 #(tc/random DS)))
                
 
                
 
                union [9 4]:
                
 
@@ -26193,50 +26419,50 @@ 
                Union
                
-
-
-
-
-
-
-
+
+
+
+
+
+
+
-
-
-
+
+
+
-
-
-
-
-
-
-
-
-
-
-
-
+
+
+
+
+
+
-
+
-
+
+
+
+
+
+
+
@@ -26253,7 +26479,7 @@ 
                Union
                Bind
                bind adds empty columns during concat
                
-
                (tc/bind ds1 ds2)
                
+
                (tc/bind ds1 ds2)
                
 
                _unnamed [18 5]:
                
 
 
 
                191.5C
                
 282
 1.0
 B
 
                131.5C
                
 
                
 240.5A61.5C
 
                
 
                221.0B
                
 1
 7
 0.5
 A
 
                131.5C
                
 
                240.5A
                
 1
 1
 0.5
 A
 
                
 2681.0B
                19
 1.5
 C
 
                
 
 
 
 
 
                
@@ -26397,7 +26623,7 @@ 
                Bind
                
 
                
 
                
 
                
-
                (tc/bind ds2 ds1)
                
+
                (tc/bind ds2 ds1)
                
 
                
 
                _unnamed [18 5]:
                
 
@@ -26544,7 +26770,7 @@ 
                Bind
                Append
                append concats columns
                
-
                (tc/append ds1 ds2)
                
+
                (tc/append ds1 ds2)
                
 
                _unnamed [9 8]:
                
 
 
 
 
 
                
@@ -26657,8 +26883,8 @@ 
                Append
                
 
                Intersection
                
 
                
-
                (tc/intersect (tc/select-columns ds1 :b)
-              (tc/select-columns ds2 :b))
                
+
                (tc/intersect (tc/select-columns ds1 :b)
+              (tc/select-columns ds2 :b))
                
 
                
 
                intersection [8 1]:
                
 
                
 
                
@@ -26698,8 +26924,8 @@ 
                Intersection
                
 
                Difference
                
 
                
-
                (tc/difference (tc/select-columns ds1 :b)
-               (tc/select-columns ds2 :b))
                
+
                (tc/difference (tc/select-columns ds1 :b)
+               (tc/select-columns ds2 :b))
                
 
                
 
                difference [1 1]:
                
 
                
 
                
@@ -26716,8 +26942,8 @@ 
                Difference
                
 
                
 
                
 
                
-
                (tc/difference (tc/select-columns ds2 :b)
-               (tc/select-columns ds1 :b))
                
+
                (tc/difference (tc/select-columns ds2 :b)
+               (tc/select-columns ds1 :b))
                
 
                
 
                difference [1 1]:
                
 
@@ -26763,15 +26989,15 @@ 
                Split into train/test
 
                In case of grouped dataset each group is processed separately.
                
 
                See more
                
 
                
-
                ^:note-to-test/skip
-(def for-splitting (tc/dataset (map-indexed (fn [id v] {:id id
-                                                        :partition v
-                                                        :group (rand-nth [:g1 :g2 :g3])})
-                                            (concat (repeat 20 :a) (repeat 5 :b)))))
                
+
                ^:note-to-test/skip
+(def for-splitting (tc/dataset (map-indexed (fn [id v] {:id id
+                                                        :partition v
+                                                        :group (rand-nth [:g1 :g2 :g3])})
+                                            (concat (repeat 20 :a) (repeat 5 :b)))))
                
 
                
 
                
-
                ^:note-to-test/skip
-for-splitting
                
+
                ^:note-to-test/skip
+for-splitting
                
 
                
 
                _unnamed [25 3]:
                
 
                
@@ -26786,37 +27012,37 @@ 
                Split into train/test
 
                
-
+
-
+
-
+
-
+
-
+
-
+
-
+
@@ -26826,12 +27052,12 @@ 
                Split into train/test
 
                
-
+
-
+
@@ -26846,32 +27072,32 @@ 
                Split into train/test
 
                
-
+
-
+
-
+
-
+
-
+
-
+
@@ -26881,17 +27107,17 @@ 
                Split into train/test
 
                
-
+
-
+
-
+
                
 0
 :a:g1:g2
 
                
 
                
 1
 :a:g2:g1
 
                
 
                
 2
 :a:g2:g1
 
                
 
                
 3
 :a:g3:g2
 
                
 
                
 4
 :a:g2:g3
 
                
 
                
 5
 :a:g3:g1
 
                
 
                
 6
 :a:g2:g3
 
                
 
                
 7
                
 8
 :a:g1:g2
 
                
 
                
 9
 :a:g2:g3
 
                
 
                
 …
                
 15
 :a:g1:g2
 
                
 
                
 16
 :a:g2:g3
 
                
 
                
 17
 :a:g1:g3
 
                
 
                
 18
 :a:g1:g3
 
                
 
                
 19
 :a:g3:g1
 
                
 
                
 20
 :b:g2:g3
 
                
 
                
 21
                
 22
 :b:g1:g2
 
                
 
                
 23
 :b:g3:g1
 
                
 
                
 24
 :b:g1:g2
 
                
                 
 
                
@@ -26899,10 +27125,10 @@ 
                Split into train/test
 
                k-Fold
                
 
                Returns k=5 maps
                
 
                
-
                ^:note-to-test/skip
-(-> for-splitting
-    (tc/split)
-    (tc/head 30))
                
+
                ^:note-to-test/skip
+(-> for-splitting
+    (tc/split)
+    (tc/head 30))
                
 
                
 
                _unnamed, (splitted) [30 5]:
                
 
@@ -26917,21 +27143,21 @@ 
                k-Fold
                
-
-
+
+
-
-
-
+
+
+
-
+
@@ -26947,182 +27173,182 @@ 
                k-Fold
                
-
+
-
+
-
+
-
-
+
+
-
+
-
+
-
+
-
+
-
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+
@@ -27130,10 +27356,10 @@ 
                k-Fold
                
 
 
 
                23:b18:a
 :g3
 :train
 0
 
                
 
                8:a:g122:b:g2
 :train
 0
 
                
 
                1412
 :a
 :g2
 :train
 
                
 16
 :a:g2:g3
 :train
 0
 
                
 
                1015
 :a:g1:g2
 :train
 0
 
                
 
                24:b10:a
 :g1
 :train
 0
 
                
 
                53
 :a:g3:g2
 :train
 0
 
                
 
                04
 :a:g1:g3
 :train
 0
 
                
 
                91
 :a:g2:g1
 :train
 0
 
                
 
                48
 :a
 :g2
 :train
 0
 
                
 
                18:a:g120:b:g3
 :train
 0
 
                
 
                2:a:g223:b:g1
 :train
 0
 
                
 
                190
 :a:g3:g2
 :train
 0
 
                
 
                1213
 :a
 :g2
 :train
 0
 
                
 
                36
 :a
 :g3
 :train
 0
 
                
 
                179
 :a:g1:g3
 :train
 0
 
                
 
                135
 :a
 :g1
 :train
 0
 
                
 
                1511
 :a
 :g1
 :train
 0
 
                
 
                6:a24:b
 :g2
 :train
 0
 
                
 
                119
 :a:g2:g1
 :test
 0
 
                
 
                22:b2:a
 :g1
 :test
 0
 
                
 
                714
 :a:g3:g2
 :test
 0
 
                
 
                1117
 :a:g1:g3
 :test
 0
 
                
 
                20:b:g27:a:g3
 :test
 0
 
                
 
                119
 :a:g2:g1
 :train
 1
 
                
 
                22:b2:a
 :g1
 :train
 1
 
                
 
                714
 :a:g3:g2
 :train
 1
 
                
 
                1117
 :a:g1:g3
 :train
 1
 
                
 
                20:b:g27:a:g3
 :train
 1
 
                
 
                
 
                Partition according to :k column to reflect it’s distribution
                
 
                
-
                ^:note-to-test/skip
-(-> for-splitting
-    (tc/split :kfold {:partition-selector :partition})
-    (tc/head 30))
                
+
                ^:note-to-test/skip
+(-> for-splitting
+    (tc/split :kfold {:partition-selector :partition})
+    (tc/head 30))
                
 
                
 
                _unnamed, (splitted) [30 5]:
                
 
@@ -27148,210 +27374,210 @@ 
                k-Fold
                
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
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+
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+
-
+
@@ -27363,10 +27589,10 @@ 
                k-Fold
                
 
                Bootstrap
                
 
                
-
                ^:note-to-test/skip
-(tc/split for-splitting :bootstrap)
                
+
                ^:note-to-test/skip
+(tc/split for-splitting :bootstrap)
                
 
                
-
                _unnamed, (splitted) [32 5]:
                
+
                _unnamed, (splitted) [33 5]:
                
 
                
 
 
 
                141
 :a:g2:g1
 :train
 0
 
                
 
                1114
 :a:g1:g2
 :train
 0
 
                
 
                
 6
 :a:g2:g3
 :train
 0
 
                
 
                1715
 :a:g1:g2
 :train
 0
 
                
 
                016
 :a:g1:g3
 :train
 0
 
                
 
                133
 :a:g1:g2
 :train
 0
 
                
 
                1218
 :a:g2:g3
 :train
 0
 
                
 
                411
 :a:g2:g1
 :train
 0
 
                
 
                
 5
 :a:g3:g1
 :train
 0
 
                
 
                197
 :a
 :g3
 :train
 0
 
                
 
                32
 :a:g3:g1
 :train
 0
 
                
 
                917
 :a:g2:g3
 :train
 0
 
                
 
                710
 :a:g3:g1
 :train
 0
 
                
 
                1519
 :a
 :g1
 :train
 0
 
                
 
                20
 :a
 :g2
 :train
 0
 
                
 
                113
 :a
 :g2
 :train
 0
 
                
 
                108
 :a:g1:g2
 :test
 0
 
                
 
                84
 :a:g1:g3
 :test
 0
 
                
 
                169
 :a:g2:g3
 :test
 0
 
                
 
                1812
 :a:g1:g2
 :test
 0
 
                
 
                108
 :a:g1:g2
 :train
 1
 
                
 
                84
 :a:g1:g3
 :train
 1
 
                
 
                169
 :a:g2:g3
 :train
 1
 
                
 
                1812
 :a:g1:g2
 :train
 1
 
                
 
                016
 :a:g1:g3
 :train
 1
 
                
 
                133
 :a:g1:g2
 :train
 1
 
                
 
                1218
 :a:g2:g3
 :train
 1
 
                
 
                411
 :a:g2:g1
 :train
 1
 
                
 
                
 5
 :a:g3:g1
 :train
 1
 
                
 
                197
 :a
 :g3
 :train
 
                
@@ -27379,72 +27605,72 @@ 
                Bootstrap
                
-
-
-
+
+
+
-
+
-
+
-
-
-
+
+
+
-
+
-
+
-
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+
+
+
-
+
-
+
-
-
-
+
+
+
@@ -27456,78 +27682,78 @@ 
                Bootstrap
                
-
+
-
-
+
+
-
+
-
+
-
+
-
-
+
+
-
+
-
+
-
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+
-
+
-
+
-
+
-
+
-
+
-
-
+
+
@@ -27536,23 +27762,23 @@ 
                Bootstrap
                
 
 
                
 
                
 
 
                24:b:g14:a:g3
 :train
 0
 
                
 
                119
 :a:g1:g3
 :train
 0
 
                
 
                10:a:g122:b:g2
 :train
 0
 
                
 
                1613
 :a
 :g2
 :train
 0
 
                
 
                124
 :a:g2:g3
 :train
 0
 
                
 
                1314
 :a:g1:g2
 :train
 0
 
                
 
                23:b18:a
 :g3
 :train
 0
 
                
 
                12:a:g220:b:g3
 :train
 0
 
                
 
                46
 :a:g2:g3
 :train
 0
 
                
 
                4:a:g223:b:g1
 :train
 0
 
                
 
                …
 
                
 
                1918
 :a
 :g3
 :train
 0
 
                
 
                11:a23:b
 :g1
 :train
 0
 
                
 
                178
 :a:g1:g2
 :train
 0
 
                
 
                80
 :a:g1:train:g2:test
 0
 
                
 
                
 2
 :a:g2:g1
 :test
 0
 
                
 
                35
 :a:g3:g1
 :test
 0
 
                
 
                711
 :a:g3:g1
 :test
 0
 
                
 
                915
 :a
 :g2
 :test
 0
 
                
 
                1516
 :a:g1:g3
 :test
 0
 
                
 
                1817
 :a:g1:g3
 :test
 0
 
                
 
                22:b19:a
 :g1
 :test
 0
 
                
 
                with repeats, to get 100 splits
                
 
                
-
                ^:note-to-test/skip
-(-> for-splitting
-    (tc/split :bootstrap {:repeats 100})
-    (:$split-id)
-    (distinct)
-    (count))
                
+
                ^:note-to-test/skip
+(-> for-splitting
+    (tc/split :bootstrap {:repeats 100})
+    (:$split-id)
+    (distinct)
+    (count))
                
 
                
 
                
-
                100
                
+
                100
                
 
                
 
                
 
                
 
                Holdout
                
 
                with small ratio
                
 
                
-
                ^:note-to-test/skip
-(tc/split for-splitting :holdout {:ratio 0.2})
                
+
                ^:note-to-test/skip
+(tc/split for-splitting :holdout {:ratio 0.2})
                
 
                
 
                _unnamed, (splitted) [25 5]:
                
 
@@ -27567,70 +27793,70 @@ 
                Holdout
                
-
+
-
+
-
+
-
-
+
+
-
+
-
+
-
-
+
+
-
+
-
+
-
-
-
+
+
+
-
+
-
+
-
+
@@ -27644,71 +27870,71 @@ 
                Holdout
                
-
+
-
+
-
+
-
+
-
+
-
-
+
+
-
-
-
+
+
+
-
+
-
+
-
-
+
+
-
+
-
+
-
-
+
+
@@ -27716,7 +27942,7 @@ 
                Holdout
                
-
+
@@ -27724,8 +27950,8 @@ 
                Holdout
                
 
 
 
                417
 :a:g2:g3
 :train
 0
 
                
 
                34
 :a
 :g3
 :train
 0
 
                
 
                22:b10:a
 :g1
 :train
 0
 
                
 
                122
 :a:g2:g1
 :train
 0
 
                
 
                11:a23:b
 :g1
 :train
 0
 
                
 
                143
 :a
 :g2
 :test
 0
 
                
 
                85
 :a
 :g1
 :test
 0
 
                
 
                23:b:g30:a:g2
 :test
 0
 
                
 
                1815
 :a:g1:g2
 :test
 0
 
                
 
                214
 :a
 :g2
 :test
 …
 
                
 
                59
 :a
 :g3
 :test
 0
 
                
 
                07
 :a:g1:g3
 :test
 0
 
                
 
                1718
 :a:g1:g3
 :test
 0
 
                
 
                6:a24:b
 :g2
 :test
 0
 
                
 
                7:a:g321:b:g2
 :test
 0
 
                
 
                101
 :a
 :g1
 :test
 0
 
                
 
                112
 :a
 :g2
 :test
 0
 
                
 
                9:a22:b
 :g2
 :test
 0
 
                
 
                1611
 :a:g2:g1
 :test
 0
 
                
 
                21:b13:a
 :g2
 :test
 0
 
                
 19
 :a:g3:g1
 :test
 0
 
                
 
                
 
                you can split to more than two subdatasets with holdout
                
 
                
-
                ^:note-to-test/skip
-(tc/split for-splitting :holdout {:ratio [0.1 0.2 0.3 0.15 0.25]})
                
+
                ^:note-to-test/skip
+(tc/split for-splitting :holdout {:ratio [0.1 0.2 0.3 0.15 0.25]})
                
 
                
 
                _unnamed, (splitted) [25 5]:
                
 
@@ -27740,71 +27966,71 @@ 
                Holdout
                
-
-
+
+
-
+
-
-
-
+
+
+
-
+
-
+
-
-
+
+
-
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+
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-
-
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+
+
-
-
+
+
-
-
+
+
@@ -27817,79 +28043,79 @@ 
                Holdout
                
-
+
-
+
-
+
-
-
-
+
+
+
-
+
-
+
-
+
-
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-
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-
-
+
+
-
+
-
+
-
+
@@ -27897,9 +28123,9 @@ 
                Holdout
                
 
 
 
                22:b11:a
 :g1
 :train
 0
 
                
 
                517
 :a
 :g3
 :train
 0
 
                
 
                7:a:g323:b:g1
 :test
 0
 
                
 
                819
 :a
 :g1
 :test
 0
 
                
 
                48
 :a
 :g2
 :test
 0
 
                
 
                6:a21:b
 :g2
 :test
 0
 
                
 
                1113
 :a:g1:g2
 :test
 0
 
                
 
                9:a:g220:b:g3
 :split-2
 0
 
                
 
                20:b12:a
 :g2
 :split-2
 0
 
                
 
                14:a22:b
 :g2
 :split-2
 0
 …
 
                
 
                196
 :a
 :g3
 :split-3
 0
 
                
 
                184
 :a:g1:g3
 :split-3
 0
 
                
 
                21:b:g29:a:g3
 :split-3
 0
 
                
 
                1615
 :a
 :g2
 :split-4
 0
 
                
 
                1218
 :a:g2:g3
 :split-4
 0
 
                
 
                216
 :a:g1:g3
 :split-4
 0
 
                
 
                1510
 :a
 :g1
 :split-4
 0
 
                
 
                24:b:g10:a:g2
 :split-4
 0
 
                
 
                1:a24:b
 :g2
 :split-4
 0
 
                
 
                172
 :a
 :g1
 :split-4
 0
 
                
 
                103
 :a:g1:g2
 :split-4
 0
 
                
 
                
 
                you can use also proportions with custom names
                
 
                
-
                ^:note-to-test/skip
-(tc/split for-splitting :holdout {:ratio [5 3 11 2]
-                                  :split-names ["small" "smaller" "big" "the rest"]})
                
+
                ^:note-to-test/skip
+(tc/split for-splitting :holdout {:ratio [5 3 11 2]
+                                  :split-names ["small" "smaller" "big" "the rest"]})
                
 
                
 
                _unnamed, (splitted) [25 5]:
                
 
@@ -27914,72 +28140,72 @@ 
                Holdout
                
-
-
+
+
-
+
-
+
-
-
-
+
+
+
-
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-
+
-
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-
-
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+
+
+
@@ -27991,71 +28217,71 @@ 
                Holdout
                
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
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-
-
-
+
+
+
-
+
-
+
-
+
-
-
+
+
@@ -28063,7 +28289,7 @@ 
                Holdout
                
-
+
@@ -28074,10 +28300,10 @@ 
                Holdout
                Holdouts
                With ratios from 5% to 95% of the dataset with step 1.5 generates 15 splits with ascending rows in train dataset.
                
-
                ^:note-to-test/skip
-(-> (tc/split for-splitting :holdouts {:steps [0.05 0.95 1.5]
-                                       :shuffle? false})
-    (tc/group-by [:$split-id :$split-name]))
                
+
                ^:note-to-test/skip
+(-> (tc/split for-splitting :holdouts {:steps [0.05 0.95 1.5]
+                                       :shuffle? false})
+    (tc/group-by [:$split-id :$split-name]))
                
 
                _unnamed [30 3]:
                
 
 
 
                23:b6:a
 :g3
 small
 0
 
                
 
                1516
 :a:g1:g3
 small
 0
 
                
 
                24:b:g115:a:g2
 small
 0
 
                
 
                19
 :a:g2:g3
 small
 0
 
                
 
                22:b1:a
 :g1
 small
 0
 
                
 
                127
 :a:g2:g3
 smaller
 0
 
                
 
                614
 :a
 :g2
 smaller
 0
 
                
 
                164
 :a:g2:g3
 smaller
 0
 
                
 
                5:a:g322:b:g2
 big
 0
 
                
 
                21:b:g211:a:g1
 big
 0
 
                
 
                …
 
                
 
                95
 :a:g2:g1
 big
 0
 
                
 
                1318
 :a:g1:g3
 big
 0
 
                
 
                417
 :a:g2:g3
 big
 0
 
                
 
                1113
 :a:g1:g2
 big
 0
 
                
 
                010
 :a
 :g1
 big
 0
 
                
 
                812
 :a:g1:g2
 big
 0
 
                
 
                17:a:g121:b:g2
 big
 0
 
                
 
                143
 :a
 :g2
 the rest
 0
 
                
 
                219
 :a:g2:g1
 the rest
 0
 
                
 
                10:a23:b
 :g1
 the rest
 0
 
                
 20
 :b:g2:g3
 the rest
 0
 
                
 
 
 
 
 
                
@@ -28210,10 +28436,10 @@ 
                Holdouts
                
 
                Leave One Out
                
 
                
-
                ^:note-to-test/skip
-(-> for-splitting
-    (tc/split :loo)
-    (tc/head 30))
                
+
                ^:note-to-test/skip
+(-> for-splitting
+    (tc/split :loo)
+    (tc/head 30))
                
 
                
 
                _unnamed, (splitted) [30 5]:
                
 
                
 
                
@@ -28228,84 +28454,98 @@ 
                Leave One Out
                
+
+
+
+
+
+
+
+
+
+
+
+
+
+
-
+
-
+
-
+
-
+
-
+
-
-
+
+
-
+
-
+
-
+
-
-
-
+
+
+
-
-
+
+
-
+
-
+
-
+
-
+
@@ -28319,143 +28559,129 @@ 
                Leave One Out
                
-
-
-
+
+
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
+
+
+
-
+
-
+
-
+
-
-
+
+
-
-
+
+
-
+
-
-
-
+
+
+
-
-
-
+
+
+
-
+
-
+
                
 
 
 
                14:a:g2:train0
                1:a:g1:train0
                
 24
 :b:g1:g2
 :train
 0
 
                
 
                64
 :a:g2:g3
 :train
 0
 
                
 
                89
 :a:g1:g3
 :train
 0
 
                
 
                20:b8:a
 :g2
 :train
 0
 
                
 
                132
 :a
 :g1
 :train
 0
 
                
 
                186
 :a:g1:g3
 :train
 0
 
                
 
                23:b:g310:a:g1
 :train
 0
 
                
 
                1:a21:b
 :g2
 :train
 0
 
                
 
                415
 :a
 :g2
 :train
 0
 
                
 
                120
 :a
 :g2
 :train
 0
 
                
 
                717
 :a
 :g3
 :train
 0
 
                
 
                1612
 :a
 :g2
 :train
 0
 
                
 
                21:b:g219:a:g1
 :train
 0
 
                
 
                195
 :a:g3:g1
 :train
 0
 
                
 
                57
 :a
 :g3
 :train
 0
 
                
 
                173
 :a:g1:g2
 :train
 0
 
                
 
                
 22
 :b:g1:g2
 :train
 0
 
                
 
                316
 :a
 :g3
 :train
 0
 
                
 
                15:a:g1:train0
                2:a:g2:train0
                0:a:g120:b:g3
 :train
 0
 
                
 
                913
 :a
 :g2
 :train
 0
 
                
 
                1418
 :a:g2:g3
 :train
 0
 
                
 
                10:a23:b
 :g1
 :test
 0
 
                
 
                10:a23:b
 :g1
 :train
 1
 
                
 
                61
 :a
 :g1
 :train
 1
 
                
 
                8:a:g124:b:g2
 :train
 1
 
                
 
                20:b:g24:a:g3
 :train
 1
 
                
 
                139
 :a:g1:g3
 :train
 1
 
                
                 
 
                
 
                
-
                ^:note-to-test/skip
-(-> for-splitting
-    (tc/split :loo)
-    (tc/row-count))
                
+
                ^:note-to-test/skip
+(-> for-splitting
+    (tc/split :loo)
+    (tc/row-count))
                
 
                
 
                
-
                625
                
+
                625
                
 
                
 
                
 
                
 
                Grouped dataset with partitioning
                
 
                
-
                ^:note-to-test/skip
-(-> for-splitting
-    (tc/group-by :group)
-    (tc/split :bootstrap {:partition-selector :partition :seed 11 :ratio 0.8}))
                
+
                ^:note-to-test/skip
+(-> for-splitting
+    (tc/group-by :group)
+    (tc/split :bootstrap {:partition-selector :partition :seed 11 :ratio 0.8}))
                
 
                
 
                _unnamed [3 3]:
                
 
@@ -28468,19 +28694,19 @@ 
                Grouped
 
 
                
-
+
-
+
-
+
-
+
-
+
                
 
                :g1:g2
 0Group: :g1, (splitted) [11 5]:Group: :g2, (splitted) [12 5]:
 
                
 
                :g2:g1
 1Group: :g2, (splitted) [12 5]:Group: :g1, (splitted) [8 5]:
 
                
 
                
 :g3
 2Group: :g3, (splitted) [7 5]:Group: :g3, (splitted) [9 5]:
 
                
                 
 
                
@@ -28489,10 +28715,10 @@ 
                Grouped
 
                Split as a sequence
                
 
                To get a sequence of pairs, use split->seq function
                
 
                
-
                ^:note-to-test/skip
-(-> for-splitting
-    (tc/split->seq :kfold {:partition-selector :partition})
-    (first))
                
+
                ^:note-to-test/skip
+(-> for-splitting
+    (tc/split->seq :kfold {:partition-selector :partition})
+    (first))
                
 
                
 
                
 
                
@@ -28532,7 +28758,7 @@ 
                Split as a sequence
 
 
-1
+15
 
 
 :a
@@ -28543,7 +28769,7 @@ 
                Split as a sequence
 
 
-18
+1
 
 
 :a
@@ -28554,7 +28780,7 @@ 
                Split as a sequence
 
 
-0
+11
 
 
 :a
@@ -28565,73 +28791,73 @@ 
                Split as a sequence
 
 
-5
+14
 
 
 :a
 
 
-:g3
+:g2
 
 
 
 
-7
+19
 
 
 :a
 
 
-:g3
+:g1
 
 
 
 
-14
+4
 
 
 :a
 
 
-:g2
+:g3
 
 
 
 
-10
+7
 
 
 :a
 
 
-:g1
+:g3
 
 
 
 
-13
+0
 
 
 :a
 
 
-:g1
+:g2
 
 
 
 
-3
+5
 
 
 :a
 
 
-:g3
+:g1
 
 
 
 
-9
+13
 
 
 :a
@@ -28642,7 +28868,7 @@ 
                Split as a sequence
 
 
-6
+12
 
 
 :a
@@ -28653,51 +28879,51 @@ 
                Split as a sequence
 
 
-4
+16
 
 
 :a
 
 
-:g2
+:g3
 
 
 
 
-16
+10
 
 
 :a
 
 
-:g2
+:g1
 
 
 
 
-11
+8
 
 
 :a
 
 
-:g1
+:g2
 
 
 
 
-12
+2
 
 
 :a
 
 
-:g2
+:g1
 
 
 
 
-2
+3
 
 
 :a
@@ -28708,7 +28934,7 @@ 
                Split as a sequence
 
 
-22
+23
 
 
 :b
@@ -28730,24 +28956,24 @@ 
                Split as a sequence
 
 
-23
+24
 
 
 :b
 
 
-:g3
+:g2
 
 
 
 
-24
+20
 
 
 :b
 
 
-:g1
+:g3
 
 
 
@@ -28791,7 +29017,7 @@ 
                Split as a sequence
 
 
-19
+9
 
 
 :a
@@ -28802,40 +29028,40 @@ 
                Split as a sequence
 
 
-15
+18
 
 
 :a
 
 
-:g1
+:g3
 
 
 
 
-8
+17
 
 
 :a
 
 
-:g1
+:g3
 
 
 
 
-17
+6
 
 
 :a
 
 
-:g1
+:g3
 
 
 
 
-20
+22
 
 
 :b
@@ -28859,11 +29085,11 @@ 
                Split as a sequence
 
                
 
                
-
                ^:note-to-test/skip
-(-> for-splitting
-    (tc/group-by :group)
-    (tc/split->seq :bootstrap {:partition-selector :partition :seed 11 :ratio 0.8 :repeats 2})
-    (first))
                
+
                ^:note-to-test/skip
+(-> for-splitting
+    (tc/group-by :group)
+    (tc/split->seq :bootstrap {:partition-selector :partition :seed 11 :ratio 0.8 :repeats 2})
+    (first))
                
 
                
 
                
 
                
@@ -28871,7 +29097,7 @@ 
                Split as a sequence
 
                
 
                
-
                :g1
+
                :g2
 
                
 
                
 
                
@@ -28923,73 +29149,73 @@ 
                Split as a sequence
 
-:g1
+:g2
 
 
 
 
-17
+0
 
 
 :a
 
 
-:g1
+:g2
 
 
 
 
-13
+8
 
 
 :a
 
 
-:g1
+:g2
 
 
 
 
-8
+15
 
 
 :a
 
 
-:g1
+:g2
 
 
 
 
-0
+12
 
 
 :a
 
 
-:g1
+:g2
 
 
 
 
-10
+14
 
 
 :a
 
 
-:g1
+:g2
 
 
 
 
-10
+21
 
 
-:a
+:b
 
 
-:g1
+:g2
 
 
 
@@ -29000,18 +29226,18 @@ 
                Split as a sequence
 
-:g1
+:g2
 
 
 
 
-24
+22
 
 
 :b
 
 
-:g1
+:g2
 
 
 
@@ -29035,7 +29261,7 @@ 
                Split as a sequence
 
                
 
                
-Group: 0 [3 3]:
+Group: 0 [2 3]:
 
                
 
 
@@ -29055,35 +29281,24 @@ 
                Split as a sequence
 
                
-
-
-
-
-
@@ -29138,79 +29353,79 @@ 
                Split as a sequence
 
                
@@ -29221,18 +29436,18 @@ 
                Split as a sequence
 
                
@@ -29256,7 +29471,7 @@ 
                Split as a sequence
 
                
 
                
-Group: 1 [2 3]:
+Group: 1 [3 3]:
 
                
 
 
                
 
-11
+3
 
 
 :a
 
 
-:g1
+:g2
 
 
                
 
                
 
-18
+13
 
 
 :a
 
 
-:g1
-
                
-22
-
-:b
-
-:g1
+:g2
 
 
                
 
                
 
-8
+0
 
 
 :a
 
 
-:g1
+:g2
 
 
                
 
                
 
-10
+15
 
 
 :a
 
 
-:g1
+:g2
 
 
                
 
                
 
-15
+14
 
 
 :a
 
 
-:g1
+:g2
 
 
                
 
                
 
-18
+12
 
 
 :a
 
 
-:g1
+:g2
 
 
                
 
                
 
-0
+8
 
 
 :a
 
 
-:g1
+:g2
 
 
                
 
                
 
-11
+15
 
 
 :a
 
 
-:g1
+:g2
 
 
                
 
                
 
-13
+22
 
 
-:a
+:b
 
 
-:g1
+:g2
 
 
                
 
                
-:g1
+:g2
 
 
                
 
                
 
-24
+22
 
 
 :b
 
 
-:g1
+:g2
 
 
                
 
                
@@ -29276,24 +29491,35 @@ 
                Split as a sequence
 
                
+
+
+
+
+
@@ -29323,6 +29549,368 @@ 
                Split as a sequence
 
 
+
                
+
                Column API
                
+
                A column in tablecloth is a named sequence of typed data. It is the building block of the dataset since datasets are at base just a map of columns. Like dataset, the column is defined in the tech.ml.dataset. In this section, we will show how you can interact with the column by itself.
                
+
                Let’s begin by requiring the Column API, which we suggest you alias as tcc:
                
+
                
+
                (require '[tablecloth.column.api :as tcc])
                
+
                
+
                
+
                Creation & Identity
                
+
                Creating an empty column is pretty straightforward:
                
+
                
+
                (tcc/column)
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;boolean&gt;[0]
+null
+[]
                
+
                
+
                You can also create a Column from a vector or a sequence
                
+
                
+
                (tcc/column [1 2 3 4 5])
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[5]
+null
+[1, 2, 3, 4, 5]
                
+
                
+
                
+
                (tcc/column `(1 2 3 4 5))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[5]
+null
+[1, 2, 3, 4, 5]
                
+
                
+
                You can also quickly create columns of ones or zeros:
                
+
                
+
                (tcc/ones 10)
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[10]
+null
+[1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
                
+
                
+
                
+
                (tcc/zeros 10)
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[10]
+null
+[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
                
+
                
+
                Finally, to identify a column, you can use the column? function to check if an item is a column:
                
+
                
+
                (tcc/column? [1 2 3 4 5])
                
+
                
+
                
+
                false
                
+
                
+
                
+
                (tcc/column? (tcc/column))
                
+
                
+
                
+
                true
                
+
                
+
                Tablecloth’s datasets of course consists of columns:
                
+
                
+
                (tcc/column? (-> (tc/dataset {:a [1 2 3 4 5]})
+                 :a))
                
+
                
+
                
+
                true
                
+
                
+
                
+
                
+
                Datatypes
                
+
                The default set of types for a column are defined in the underlying “tech ml” system. We can see the set here:
                
+
                
+
                (tech.v3.datatype.casting/all-datatypes)
                
+
                
+
                
+
                (:int32
+ :int16
+ :float32
+ :float64
+ :int64
+ :uint64
+ :string
+ :uint16
+ :int8
+ :uint32
+ :keyword
+ :decimal
+ :uuid
+ :boolean
+ :object
+ :char
+ :uint8)
                
+
                
+
                When you create a column, the underlying system will try to autodetect its type. We can illustrate that behavior using the tcc/typeof function to check the type of a column:
                
+
                
+
                (-> (tcc/column [1 2 3 4 5])
+    (tcc/typeof))
                
+
                
+
                
+
                :int64
                
+
                
+
                
+
                (-> (tcc/column [:a :b :c :d :e])
+    (tcc/typeof))
                
+
                
+
                
+
                :keyword
                
+
                
+
                Columns containing heterogenous data will receive type :object:
                
+
                
+
                (-> (tcc/column [1 :b 3 :c 5])
+    (tcc/typeof))
                
+
                
+
                
+
                :object
                
+
                
+
                You can also use the tcc/typeof? function to check the value of a function as an asssertion:
                
+
                
+
                (-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :boolean))
                
+
                
+
                
+
                false
                
+
                
+
                
+
                (-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :int64))
                
+
                
+
                
+
                true
                
+
                
+
                Tablecloth has a concept of “concrete” and “general” types. A general type is the broad category of type and the concrete type is the actual type in memory. For example, a concrete type is a 64-bit integer :int64, which is also of the general type :integer. The typeof? function supports checking both.
                
+
                
+
                (-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :int64))
                
+
                
+
                
+
                true
                
+
                
+
                
+
                (-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :integer))
                
+
                
+
                
+
                true
                
+
                
+
                
+
                
+
                Access & Manipulation
                
+
                
+
                Column Access
                
+
                The method for accessing a particular index position in a column is the same as for Clojure vectors:
                
+
                
+
                (-> (tcc/column [1 2 3 4 5])
+    (get 3))
                
+
                
+
                
+
                4
                
+
                
+
                
+
                (-> (tcc/column [1 2 3 4 5])
+    (nth 3))
                
+
                
+
                
+
                4
                
+
                
+
                
+
                
+
                Slice
                
+
                You can also slice a column
                
+
                
+
                (-> (tcc/column (range 10))
+    (tcc/slice 5))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[5]
+null
+[5, 6, 7, 8, 9]
                
+
                
+
                
+
                (-> (tcc/column (range 10))
+    (tcc/slice 1 4))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[4]
+null
+[1, 2, 3, 4]
                
+
                
+
                
+
                (-> (tcc/column (range 10))
+    (tcc/slice 0 9 2))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[5]
+null
+[0, 2, 4, 6, 8]
                
+
                
+
                The slice method supports the :end and :start keywords, which can add clarity to your code:
                
+
                
+
                (-> (tcc/column (range 10))
+    (tcc/slice :start :end 2))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[5]
+null
+[0, 2, 4, 6, 8]
                
+
                
+
                
+
                
+
                Select
                
+
                If you need to create a discontinuous subset of the column, you can use the select function. This method accepts an array of index positions or an array of booleans. When using boolean select, a true value will select the value at the index positions containing true values: Select the values at index positions 1 and 9:
                
+
                
+
                (-> (tcc/column (range 10))
+    (tcc/select [1 9]))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[2]
+null
+[1, 9]
                
+
                
+
                Select the values at index positions 0 and 2 using booelan select:
                
+
                
+
                (-> (tcc/column (range 10))
+    (tcc/select (tcc/column [true false true])))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[2]
+null
+[0, 2]
                
+
                
+
                The boolean select feature is particularly useful when used with the large number of operations (see below) that the Column API includes:
                
+
                
+
                (let [col (tcc/column (range 10))]
+  (-> col
+      (tcc/odd?)
+      (->> (tcc/select col))))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[5]
+null
+[1, 3, 5, 7, 9]
                
+
                
+
                Here, we used the odd? operator to create a boolean array indicating all index positions in the Column that included an odd value. Then we pass that boolean Column to the select function using the ->> to send it to the second argument position.
                
+
                
+
                
+
                Sort
                
+
                Use sort-column to sort a column: Default sort is in ascending order:
                
+
                
+
                (-> (tcc/column [:c :z :a :f])
+    (tcc/sort-column))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;keyword&gt;[4]
+null
+[:a, :c, :f, :z]
                
+
                
+
                You can provide the :desc and :asc keywords to change the default behavior:
                
+
                
+
                (-> (tcc/column [:c :z :a :f])
+    (tcc/sort-column :desc))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;keyword&gt;[4]
+null
+[:z, :f, :c, :a]
                
+
                
+
                You can also provide a comparator fn:
                
+
                
+
                (-> (tcc/column [{:position 2
+                  :text "and then stopped"}
+                 {:position 1
+                  :text "I ran fast"}])
+    (tcc/sort-column (fn [a b] (< (:position a) (:position b)))))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;persistent-map&gt;[2]
+null
+[{:position 1, :text "I ran fast"}, {:position 2, :text "and then stopped"}]
                
+
                
+
                
+
                
+
                
+
                Operations
                
+
                The Column API contains a large number of operations, which have been lifted from the underlying tech.ml.dataset library and adapted to Tablecloth. These operations all take one or more columns as an argument, and they return either a scalar value or a new column, depending on the operation. In other words, their signature is this general form:
                
+
                (column1 column2 ...) => column | scalar
                
+
                Because these functions all take a column as the first argument, they are easy to use with the pipe -> macro, as with all functions in Tablecloth.
                
+
                Given the incredibly large number of available functions, we will illustrate instead how these operations can be used.
                
+
                We’ll start with two columns a and b:
                
+
                
+
                (def a (tcc/column [20 30 40 50]))
                
+
                
+
                
+
                (def b (tcc/column (range 4)))
                
+
                
+
                Here is a small sampling of operator functions:
                
+
                
+
                (tcc/- a b)
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[4]
+null
+[20, 29, 38, 47]
                
+
                
+
                
+
                (tcc/* a b)
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[4]
+null
+[0, 30, 80, 150]
                
+
                
+
                
+
                (tcc// a 2)
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;int64&gt;[4]
+null
+[10, 15, 20, 25]
                
+
                
+
                
+
                (tcc/pow a 2)
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;float64&gt;[4]
+null
+[400.0, 900.0, 1600, 2500]
                
+
                
+
                
+
                (tcc/* 10 (tcc/sin a))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;float64&gt;[4]
+null
+[9.129, -9.880, 7.451, -2.624]
                
+
                
+
                
+
                (tcc/< a 35)
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;boolean&gt;[4]
+null
+[true, true, false, false]
                
+
                
+
                All these operations take a column as their first argument and return a column, so they can be chained easily.
                
+
                
+
                (-> a
+    (tcc/* b)
+    (tcc/< 70))
                
+
                
+
                
+
                #tech.v3.dataset.column&lt;boolean&gt;[4]
+null
+[true, true, false, false]
                
+
                
+
                
+
                
 
                
 
                Pipeline
                
 
                tablecloth.pipeline exports special versions of API which create functions operating only on dataset. This creates the possibility to chain operations and compose them easily.
                
@@ -29367,10 +29955,10 @@ 
                Other examples
                
 
                
 
                Stocks
                
 
                
-
                (defonce stocks (tc/dataset "https://raw.githubusercontent.com/techascent/tech.ml.dataset/master/test/data/stocks.csv" {:key-fn keyword}))
                
+
                (defonce stocks (tc/dataset "https://raw.githubusercontent.com/techascent/tech.ml.dataset/master/test/data/stocks.csv" {:key-fn keyword}))
                
 
                
 
                
-
                stocks
                
+
                stocks
                
 
                
 
                https://raw.githubusercontent.com/techascent/tech.ml.dataset/master/test/data/stocks.csv [560 3]:
                
 
                
 
-17
+3
 
 
 :a
 
 
-:g1
+:g2
 
 
                
 
                
 
-22
+13
+
+:a
+
+:g2
+
                
+21
 
 
 :b
 
 
-:g1
+:g2
 
 
                
 
                
@@ -29495,12 +30083,12 @@ 
                Stocks
                
 
 
                
 
                
-
                (-> stocks
-    (tc/group-by (fn [row]
-                    {:symbol (:symbol row)
-                     :year (tech.v3.datatype.datetime/long-temporal-field :years (:date row))}))
-    (tc/aggregate #(tech.v3.datatype.functional/mean (% :price)))
-    (tc/order-by [:symbol :year]))
                
+
                (-> stocks
+    (tc/group-by (fn [row]
+                    {:symbol (:symbol row)
+                     :year (tech.v3.datatype.datetime/long-temporal-field :years (:date row))}))
+    (tc/aggregate #(tech.v3.datatype.functional/mean (% :price)))
+    (tc/order-by [:symbol :year]))
                
 
                
 
                _unnamed [51 3]:
                
 
@@ -29625,11 +30213,11 @@ 
                Stocks
                
 
 
                
 
                
-
                (-> stocks
-    (tc/group-by (juxt :symbol #(tech.v3.datatype.datetime/long-temporal-field :years (% :date))))
-    (tc/aggregate #(tech.v3.datatype.functional/mean (% :price)))
-    (tc/rename-columns {:$group-name-0 :symbol
-                        :$group-name-1 :year}))
                
+
                (-> stocks
+    (tc/group-by (juxt :symbol #(tech.v3.datatype.datetime/long-temporal-field :years (% :date))))
+    (tc/aggregate #(tech.v3.datatype.functional/mean (% :price)))
+    (tc/rename-columns {:$group-name-0 :symbol
+                        :$group-name-1 :year}))
                
 
                
 
                _unnamed [51 3]:
                
 
@@ -29758,12 +30346,12 @@ 
                Stocks
                data.table
                Below you can find comparizon between functionality of data.table and Clojure dataset API. I leave it without comments, please refer original document explaining details: Introduction to data.table R
                
-
                library(data.table)
-library(knitr)
-flights <- fread("https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv")
-kable(head(flights))
                
+
                library(data.table)
+library(knitr)
+flights <- fread("https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv")
+kable(head(flights))
                
 
                
-
                
 
 
 
                
+
                @@ -29877,15 +30465,15 @@ 
                data.table
                Clojure
                
-
                (require '[tech.v3.datatype.functional :as dfn]
-         '[tech.v3.datatype.argops :as aops]
-         '[tech.v3.datatype :as dtype])
                
+
                (require '[tech.v3.datatype.functional :as dfn]
+         '[tech.v3.datatype.argops :as aops]
+         '[tech.v3.datatype :as dtype])
                
 
                
-
                (defonce flights (tc/dataset "https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv"))
                
+
                (defonce flights (tc/dataset "https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv"))
                
 
                
-
                (tc/head flights 6)
                
+
                (tc/head flights 6)
                
 
                https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 11]:
                
 
 
 

 
 
 
 
 
 
 
                
@@ -30004,32 +30592,32 @@ 
                Basics
                Shape of loaded data
                R
                
-
                dim(flights)
                
+
                dim(flights)
                
 
                
 
                [1] 253316     11
                
 
                
 
                Clojure
                
-
                (tc/shape flights)
                
+
                (tc/shape flights)
                
 
                
-
                [253316 11]
                
+
                [253316 11]
                
 
                
 
                What is data.table?
                
 
                R
                
 
                
-
                DT = data.table(
-ID = c("b","b","b","a","a","c"),
-a = 1:6,
-b = 7:12,
-c = 13:18
-)
-kable(DT)
                
+
                DT = data.table(
+ID = c("b","b","b","a","a","c"),
+a = 1:6,
+b = 7:12,
+c = 13:18
+)
+kable(DT)
                
 
                
-
                
 
 
 
 
 
 
 
 
                
+
                
@@ -30078,20 +30666,20 @@ 
                What is data.tabl
 
 
                
 
 
                
 ID
                
 
                
-
                class(DT$ID)
                
+
                class(DT$ID)
                
 
                
 
                [1] "character"
                
 
                
 
                
 
                Clojure
                
 
                
-
                (def DT (tc/dataset {:ID ["b" "b" "b" "a" "a" "c"]
-                     :a (range 1 7)
-                     :b (range 7 13)
-                     :c (range 13 19)}))
                
+
                (def DT (tc/dataset {:ID ["b" "b" "b" "a" "a" "c"]
+                     :a (range 1 7)
+                     :b (range 7 13)
+                     :c (range 13 19)}))
                
 
                
 
                
-
                DT
                
+
                DT
                
 
                
 
                _unnamed [6 4]:
                
 
@@ -30143,20 +30731,20 @@ 
                What is data.tabl
 
 
                
 
                
-
                (-> :ID DT meta :datatype)
                
+
                (-> :ID DT meta :datatype)
                
 
                
 
                
-
                :string
                
+
                :string
                
 
                
 
                
 
                
 
                Get all the flights with “JFK” as the origin airport in the month of June.
                
 
                R
                
 
                
-
                ans <- flights[origin == "JFK" & month == 6L]
-kable(head(ans))
                
+
                ans <- flights[origin == "JFK" & month == 6L]
+kable(head(ans))
                
 
                
-
+
                @@ -30270,10 +30858,10 @@ 
                
-
                (-> flights
-    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
-                                   (= (get row "month") 6))))
-    (tc/head 6))
                
+
                (-> flights
+    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
+                                   (= (get row "month") 6))))
+    (tc/head 6))
                
 
 
                https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 11]:
                
 
                
 
 
 

                
@@ -30391,10 +30979,10 @@ 
                Get the first two rows from flights.
                R
                
-
                ans <- flights[1:2]
-kable(ans)
                
+
                ans <- flights[1:2]
+kable(ans)
                
 
                
-
                
 
 
                
+
                @@ -30456,7 +31044,7 @@ 
                Get t
 
 
                Clojure
                
 
                
-
                (tc/select-rows flights (range 2))
                
+
                (tc/select-rows flights (range 2))
                
 
                
 
                https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [2 11]:
                
 
                
 
 
 

                
@@ -30522,10 +31110,10 @@ 
                Get t
 
                Sort flights first by column origin in ascending order, and then by dest in descending order
                R
                
-
                ans <- flights[order(origin, -dest)]
-kable(head(ans))
                
+
                ans <- flights[order(origin, -dest)]
+kable(head(ans))
                
 
                
-
                
 
 
                
+
                @@ -30639,9 +31227,9 @@ 
                
-
                (-> flights
-    (tc/order-by ["origin" "dest"] [:asc :desc])
-    (tc/head 6))
                
+
                (-> flights
+    (tc/order-by ["origin" "dest"] [:asc :desc])
+    (tc/head 6))
                
 
 
                https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 11]:
                
 
                
 
 
 

                
@@ -30759,28 +31347,28 @@ 
                Select arr_delay column, but return it as a vector
                R
                
-
                ans <- flights[, arr_delay]
-head(ans)
                
+
                ans <- flights[, arr_delay]
+head(ans)
                
 
                
 
                [1]  13  13   9 -26   1   0
                
 
                
 
                Clojure
                
-
                (take 6 (flights "arr_delay"))
                
+
                (take 6 (flights "arr_delay"))
                
 
                
-
                (13 13 9 -26 1 0)
                
+
                (13 13 9 -26 1 0)
                
 
                
 
                Select arr_delay column, but return as a data.table instead
                
 
                R
                
 
                
-
                ans <- flights[, list(arr_delay)]
-kable(head(ans))
                
+
                ans <- flights[, list(arr_delay)]
+kable(head(ans))
                
 
                
-
                
 
 
 
 
 
 
 
                
+
                
@@ -30811,9 +31399,9 @@ 
                
-
                (-> flights
-    (tc/select-columns "arr_delay")
-    (tc/head 6))
                
+
                (-> flights
+    (tc/select-columns "arr_delay")
+    (tc/head 6))
                
 
 
                https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 1]:
                
 
                
 
 
                
 arr_delay
                
@@ -30849,9 +31437,9 @@ 
                
-
                (-> flights
-    (tc/select-columns ["arr_delay" "dep_delay"])
-    (tc/head 6))
                
+
                (-> flights
+    (tc/select-columns ["arr_delay" "dep_delay"])
+    (tc/head 6))
                
 
 
                https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 2]:
                
 
                
@@ -30893,10 +31481,10 @@ 
                Select both arr_delay and dep_delay columns and rename them to delay_arr and delay_dep
                R
                
-
                ans <- flights[, .(delay_arr = arr_delay, delay_dep = dep_delay)]
-kable(head(ans))
                
+
                ans <- flights[, .(delay_arr = arr_delay, delay_dep = dep_delay)]
+kable(head(ans))
                
 
                
-
                
 
 
                
+
                
@@ -30934,10 +31522,10 @@ 
                
-
                (-> flights
-    (tc/select-columns {"arr_delay" "delay_arr"
-                        "dep_delay" "delay_arr"})
-    (tc/head 6))
                
+
                (-> flights
+    (tc/select-columns {"arr_delay" "delay_arr"
+                        "dep_delay" "delay_arr"})
+    (tc/head 6))
                
 
 
                https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 2]:
                
 
                
 
 
                
 delay_arr
                
@@ -30979,40 +31567,40 @@ 
                How many trips have had total delay < 0?
                R
                
-
                ans <- flights[, sum( (arr_delay + dep_delay) < 0 )]
-ans
                
+
                ans <- flights[, sum( (arr_delay + dep_delay) < 0 )]
+ans
                
 
                
 
                [1] 141814
                
 
                
 
                Clojure
                
-
                (->> (dfn/+ (flights "arr_delay") (flights "dep_delay"))
-     (aops/argfilter #(< % 0.0))
-     (dtype/ecount))
                
+
                (->> (dfn/+ (flights "arr_delay") (flights "dep_delay"))
+     (aops/argfilter #(< % 0.0))
+     (dtype/ecount))
                
 
                
-
                141814
                
+
                141814
                
 
                or pure Clojure functions (much, much slower)
                
-
                (->> (map + (flights "arr_delay") (flights "dep_delay"))
-     (filter neg?)
-     (count))
                
+
                (->> (map + (flights "arr_delay") (flights "dep_delay"))
+     (filter neg?)
+     (count))
                
 
                
-
                141814
                
+
                141814
                
 
                
 
                Calculate the average arrival and departure delay for all flights with “JFK” as the origin airport in the month of June
                
 
                R
                
 
                
-
                ans <- flights[origin == "JFK" & month == 6L,
-.(m_arr = mean(arr_delay), m_dep = mean(dep_delay))]
-kable(ans)
                
+
                ans <- flights[origin == "JFK" & month == 6L,
+.(m_arr = mean(arr_delay), m_dep = mean(dep_delay))]
+kable(ans)
                
 
                
-
                
 
 
 
 
 
 
 
 
 
 
                
+
                
@@ -31030,11 +31618,11 @@ 
                
-
                (-> flights
-    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
-                                   (= (get row "month") 6))))
-    (tc/aggregate {:m_arr #(dfn/mean (% "arr_delay"))
-                   :m_dep #(dfn/mean (% "dep_delay"))}))
                
+
                (-> flights
+    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
+                                   (= (get row "month") 6))))
+    (tc/aggregate {:m_arr #(dfn/mean (% "arr_delay"))
+                   :m_dep #(dfn/mean (% "dep_delay"))}))
                
 
 
                _unnamed [1 2]:
                
 
                
 
 
                
 m_arr
                
@@ -31056,39 +31644,39 @@ 
                How many trips have been made in 2014 from “JFK” airport in the month of June?
                R
                
-
                ans <- flights[origin == "JFK" & month == 6L, length(dest)]
-ans
                
+
                ans <- flights[origin == "JFK" & month == 6L, length(dest)]
+ans
                
 
                
 
                [1] 8422
                
 
                
 
                or
                
-
                ans <- flights[origin == "JFK" & month == 6L, .N]
-ans
                
+
                ans <- flights[origin == "JFK" & month == 6L, .N]
+ans
                
 
                
 
                [1] 8422
                
 
                
 
                Clojure
                
-
                (-> flights
-    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
-                                   (= (get row "month") 6))))
-    (tc/row-count))
                
+
                (-> flights
+    (tc/select-rows (fn [row] (and (= (get row "origin") "JFK")
+                                   (= (get row "month") 6))))
+    (tc/row-count))
                
 
                
-
                8422
                
+
                8422
                
 
                
 
                deselect columns using - or !
                
 
                R
                
 
                
-
                ans <- flights[, !c("arr_delay", "dep_delay")]
-kable(head(ans))
                
+
                ans <- flights[, !c("arr_delay", "dep_delay")]
+kable(head(ans))
                
 
                
-
                
 
 
 
 
 
 
 
 
 
                
+
                
@@ -31175,10 +31763,10 @@ 
                deselect colum
 
 
                or
                
 
                
-
                ans <- flights[, -c("arr_delay", "dep_delay")]
-kable(head(ans))
                
+
                ans <- flights[, -c("arr_delay", "dep_delay")]
+kable(head(ans))
                
 
                
-
                
 
 
                
 year
                
+
                
@@ -31265,9 +31853,9 @@ 
                deselect colum
 
 
                Clojure
                
 
                
-
                (-> flights
-    (tc/select-columns (complement #{"arr_delay" "dep_delay"}))
-    (tc/head 6))
                
+
                (-> flights
+    (tc/select-columns (complement #{"arr_delay" "dep_delay"}))
+    (tc/head 6))
                
 
                
 
                https://raw.githubusercontent.com/Rdatatable/data.table/master/vignettes/flights14.csv [6 9]:
                
 
                
 
 
                
 year
                
@@ -31372,10 +31960,10 @@ 
                Aggregations
                How can we get the number of trips corresponding to each origin airport?
                R
                
-
                ans <- flights[, .(.N), by = .(origin)]
-kable(ans)
                
+
                ans <- flights[, .(.N), by = .(origin)]
+kable(ans)
                
 
                
-
                
 
 
 
                
+
                
@@ -31401,9 +31989,9 @@ 
                
-
                (-> flights
-    (tc/group-by ["origin"])
-    (tc/aggregate {:N tc/row-count}))
                
+
                (-> flights
+    (tc/group-by ["origin"])
+    (tc/aggregate {:N tc/row-count}))
                
 
 
                _unnamed [3 2]:
                
 
                
 
 
                
 origin
                
@@ -31433,10 +32021,10 @@ 
                How can we calculate the number of trips for each origin airport for carrier code “AA”?
                R
                
-
                ans <- flights[carrier == "AA", .N, by = origin]
-kable(ans)
                
+
                ans <- flights[carrier == "AA", .N, by = origin]
+kable(ans)
                
 
                
-
                
 
 
                
+
                
@@ -31462,10 +32050,10 @@ 
                
-
                (-> flights
-    (tc/select-rows #(= (get % "carrier") "AA"))
-    (tc/group-by ["origin"])
-    (tc/aggregate {:N tc/row-count}))
                
+
                (-> flights
+    (tc/select-rows #(= (get % "carrier") "AA"))
+    (tc/group-by ["origin"])
+    (tc/aggregate {:N tc/row-count}))
                
 
 
                _unnamed [3 2]:
                
 
                
 
 
                
 origin
                
@@ -31495,10 +32083,10 @@ 
                How can we get the total number of trips for each origin, dest pair for carrier code “AA”?
                R
                
-
                ans <- flights[carrier == "AA", .N, by = .(origin, dest)]
-kable(head(ans))
                
+
                ans <- flights[carrier == "AA", .N, by = .(origin, dest)]
+kable(head(ans))
                
 
                
-
                
 
 
                
+
                
@@ -31543,11 +32131,11 @@ 
                
-
                (-> flights
-    (tc/select-rows #(= (get % "carrier") "AA"))
-    (tc/group-by ["origin" "dest"])
-    (tc/aggregate {:N tc/row-count})
-    (tc/head 6))
                
+
                (-> flights
+    (tc/select-rows #(= (get % "carrier") "AA"))
+    (tc/group-by ["origin" "dest"])
+    (tc/aggregate {:N tc/row-count})
+    (tc/head 6))
                
 
 
                _unnamed [6 3]:
                
 
                
 
 
                
 origin
                
@@ -31596,12 +32184,12 @@ 
                How can we get the average arrival and departure delay for each orig,dest pair for each month for carrier code “AA”?
                R
                
-
                ans <- flights[carrier == "AA",
-.(mean(arr_delay), mean(dep_delay)),
-by = .(origin, dest, month)]
-kable(head(ans,10))
                
+
                ans <- flights[carrier == "AA",
+.(mean(arr_delay), mean(dep_delay)),
+by = .(origin, dest, month)]
+kable(head(ans,10))
                
 
                
-
                
 
 
                
+
                
@@ -31688,12 +32276,12 @@ 
                
-
                (-> flights
-    (tc/select-rows #(= (get % "carrier") "AA"))
-    (tc/group-by ["origin" "dest" "month"])
-    (tc/aggregate [#(dfn/mean (% "arr_delay"))
-                   #(dfn/mean (% "dep_delay"))])
-    (tc/head 10))
                
+
                (-> flights
+    (tc/select-rows #(= (get % "carrier") "AA"))
+    (tc/group-by ["origin" "dest" "month"])
+    (tc/aggregate [#(dfn/mean (% "arr_delay"))
+                   #(dfn/mean (% "dep_delay"))])
+    (tc/head 10))
                
 
 
                _unnamed [10 5]:
                
 
                
 
 
                
 origin
                
@@ -31736,13 +32324,6 @@ 
                18.74301676
 
 
                
-
-
-
-
-
-
-
@@ -31791,12 +32372,12 @@ 
                So how can we directly order by all the grouping variables?
                R
                
-
                ans <- flights[carrier == "AA",
-.(mean(arr_delay), mean(dep_delay)),
-keyby = .(origin, dest, month)]
-kable(head(ans,10))
                
+
                ans <- flights[carrier == "AA",
+.(mean(arr_delay), mean(dep_delay)),
+keyby = .(origin, dest, month)]
+kable(head(ans,10))
                
 
                
-
                LGAMIA29.6250000010.70000000
                
 JFK
 SEA
 1
 
 
                
+
                
@@ -31883,13 +32464,13 @@ 
                
-
                (-> flights
-    (tc/select-rows #(= (get % "carrier") "AA"))
-    (tc/group-by ["origin" "dest" "month"])
-    (tc/aggregate [#(dfn/mean (% "arr_delay"))
-                   #(dfn/mean (% "dep_delay"))])
-    (tc/order-by ["origin" "dest" "month"])
-    (tc/head 10))
                
+
                (-> flights
+    (tc/select-rows #(= (get % "carrier") "AA"))
+    (tc/group-by ["origin" "dest" "month"])
+    (tc/aggregate [#(dfn/mean (% "arr_delay"))
+                   #(dfn/mean (% "dep_delay"))])
+    (tc/order-by ["origin" "dest" "month"])
+    (tc/head 10))
                
 
 
                _unnamed [10 5]:
                
 
                
 
 
                
 origin
                
@@ -31980,10 +32561,10 @@ 
                Can by accept expressions as well or does it just take columns?
                R
                
-
                ans <- flights[, .N, .(dep_delay>0, arr_delay>0)]
-kable(ans)
                
+
                ans <- flights[, .N, .(dep_delay>0, arr_delay>0)]
+kable(ans)
                
 
                
-
                
 
 
                
+
                
@@ -32018,11 +32599,11 @@ 
                
-
                (-> flights
-    (tc/group-by (fn [row]
-                   {:dep_delay (pos? (get row "dep_delay"))
-                    :arr_delay (pos? (get row "arr_delay"))}))
-    (tc/aggregate {:N tc/row-count}))
                
+
                (-> flights
+    (tc/group-by (fn [row]
+                   {:dep_delay (pos? (get row "dep_delay"))
+                    :arr_delay (pos? (get row "arr_delay"))}))
+    (tc/aggregate {:N tc/row-count}))
                
 
 
                _unnamed [4 3]:
                
 
                
 
 
                
 dep_delay
                
@@ -32061,9 +32642,9 @@ 
                Do we have to compute mean() for each column individually?
                R
                
-
                kable(DT)
                
+
                kable(DT)
                
 
                
-
                
 
 
                
+
                
@@ -32112,7 +32693,7 @@ 
                DT[, print(.SD), by = ID]
                
+
                DT[, print(.SD), by = ID]
                
 
                
 
                   a b  c
 1: 1 7 13
@@ -32129,9 +32710,9 @@ 
                
-
                kable(DT[, lapply(.SD, mean), by = ID])
                
+
                kable(DT[, lapply(.SD, mean), by = ID])
                
 
                
-
                
 
 
                
 ID
                
+
                
@@ -32165,7 +32746,7 @@ 
                
-
                DT
                
+
                DT
                
 
 
                _unnamed [6 4]:
                
 
                
 
 
                
 ID
                
@@ -32217,7 +32798,7 @@ 
                
-
                (tc/group-by DT :ID {:result-type :as-map})
                
+
                (tc/group-by DT :ID {:result-type :as-map})
                
 
 
                
 
                
@@ -32441,9 +33022,9 @@ 
                
-
                (-> DT
-    (tc/group-by [:ID])
-    (tc/aggregate-columns (complement #{:ID}) dfn/mean))
                
+
                (-> DT
+    (tc/group-by [:ID])
+    (tc/aggregate-columns (complement #{:ID}) dfn/mean))
                
 
                
 
                _unnamed [3 4]:
                
 
                
@@ -32481,12 +33062,12 @@ 
                How can we specify just the columns we would like to compute the mean() on?
                
 
                R
                
 
                
-
                kable(head(flights[carrier == "AA",                         ## Only on trips with carrier "AA"
-lapply(.SD, mean),                       ## compute the mean
-by = .(origin, dest, month),             ## for every 'origin,dest,month'
-.SDcols = c("arr_delay", "dep_delay")])) ## for just those specified in .SDcols
                
+
                kable(head(flights[carrier == "AA",                         ## Only on trips with carrier "AA"
+lapply(.SD, mean),                       ## compute the mean
+by = .(origin, dest, month),             ## for every 'origin,dest,month'
+.SDcols = c("arr_delay", "dep_delay")])) ## for just those specified in .SDcols
                
 
                
-
                
+
                
@@ -32545,11 +33126,11 @@ 
                
-
                (-> flights
-    (tc/select-rows #(= (get % "carrier") "AA"))
-    (tc/group-by ["origin" "dest" "month"])
-    (tc/aggregate-columns ["arr_delay" "dep_delay"] dfn/mean)
-    (tc/head 6))
                
+
                (-> flights
+    (tc/select-rows #(= (get % "carrier") "AA"))
+    (tc/group-by ["origin" "dest" "month"])
+    (tc/aggregate-columns ["arr_delay" "dep_delay"] dfn/mean)
+    (tc/head 6))
                
 
 
                _unnamed [6 5]:
                
 
                
 
 
                
 origin
                
@@ -32612,10 +33193,10 @@ 
                How can we return the first two rows for each month?
                
 
                R
                
 
                
-
                ans <- flights[, head(.SD, 2), by = month]
-kable(head(ans))
                
+
                ans <- flights[, head(.SD, 2), by = month]
+kable(head(ans))
                
 
                
-
                
+
                @@ -32729,11 +33310,11 @@ 
                
-
                (-> flights
-    (tc/group-by ["month"])
-    (tc/head 2) ;; head applied on each group
-    (tc/ungroup)
-    (tc/head 6))
                
+
                (-> flights
+    (tc/group-by ["month"])
+    (tc/head 2) ;; head applied on each group
+    (tc/ungroup)
+    (tc/head 6))
                
 
 
                _unnamed [6 11]:
                
 
                
 
 
 

                
@@ -32851,9 +33432,9 @@ 
                How can we concatenate columns a and b for each group in ID?
                
 
                R
                
 
                
-
                kable(DT[, .(val = c(a,b)), by = ID])
                
+
                kable(DT[, .(val = c(a,b)), by = ID])
                
 
                
-
                
+
                
@@ -32909,41 +33490,15 @@ 
                c
 
                
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
                
 
 
                
 ID12
 
                201441-8-23MQLGABNA11376418
                201441-8-11MQLGARDU7143118
                
 
 
                
 
                
 
                
 
                Clojure
                
 
                
-
                (-> DT
-    (tc/pivot->longer [:a :b] {:value-column-name :val})
-    (tc/drop-columns [:$column :c]))
                
+
                (-> DT
+    (tc/pivot->longer [:a :b] {:value-column-name :val})
+    (tc/drop-columns [:$column :c]))
                
 
                
 
                _unnamed [12 2]:
                
 
@@ -33009,9 +33564,9 @@ 
                What if we would like to have all the values of column a and b concatenated, but returned as a list column?
                R
                
-
                kable(DT[, .(val = list(c(a,b))), by = ID])
                
+
                kable(DT[, .(val = list(c(a,b))), by = ID])
                
 
                
-
                
 
 
                
+
                
@@ -33037,10 +33592,10 @@ 
                
-
                (-> DT
-    (tc/pivot->longer [:a :b] {:value-column-name :val})
-    (tc/drop-columns [:$column :c])
-    (tc/fold-by :ID))
                
+
                (-> DT
+    (tc/pivot->longer [:a :b] {:value-column-name :val})
+    (tc/drop-columns [:$column :c])
+    (tc/fold-by :ID))
                
 
 
                _unnamed [3 2]:
                
 
                
 
 
                
 ID
                
@@ -33074,25 +33629,25 @@ 
                
-
                (def DS (tc/dataset {:V1 (take 9 (cycle [1 2]))
-                      :V2 (range 1 10)
-                      :V3 (take 9 (cycle [0.5 1.0 1.5]))
-                      :V4 (take 9 (cycle ["A" "B" "C"]))}))
                
+
                (def DS (tc/dataset {:V1 (take 9 (cycle [1 2]))
+                      :V2 (range 1 10)
+                      :V3 (take 9 (cycle [0.5 1.0 1.5]))
+                      :V4 (take 9 (cycle ["A" "B" "C"]))}))
                
 
 
                
-
                (tc/dataset? DS)
                
+
                (tc/dataset? DS)
                
 
                
 
                
-
                true
                
+
                true
                
 
                
 
                
-
                (class DS)
                
+
                (class DS)
                
 
                
 
                
-
                tech.v3.dataset.impl.dataset.Dataset
                
+
                tech.v3.dataset.impl.dataset.Dataset
                
 
                
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 4]:
                
 
                
@@ -33168,7 +33723,7 @@ 
                
-
                (tc/select-rows DS [2 3])
                
+
                (tc/select-rows DS [2 3])
                
 
 
                _unnamed [2 4]:
                
 
                
@@ -33202,7 +33757,7 @@ 
                
-
                (tc/drop-rows DS (range 2 7))
                
+
                (tc/drop-rows DS (range 2 7))
                
 
 
                _unnamed [4 4]:
                
 
                
@@ -33246,7 +33801,7 @@ 
                
-
                (tc/select-rows DS (comp #(> % 5) :V2))
                
+
                (tc/select-rows DS (comp #(> % 5) :V2))
                
 
 
                _unnamed [4 4]:
                
 
                
@@ -33286,7 +33841,7 @@ 
                
-
                (tc/select-rows DS (comp #{"A" "C"} :V4))
                
+
                (tc/select-rows DS (comp #{"A" "C"} :V4))
                
 
 
                _unnamed [6 4]:
                
 
                
@@ -33342,8 +33897,8 @@ 
                
-
                (tc/select-rows DS #(and (= (:V1 %) 1)
-                          (= (:V4 %) "A")))
                
+
                (tc/select-rows DS #(and (= (:V1 %) 1)
+                          (= (:V4 %) "A")))
                
 
 
                _unnamed [2 4]:
                
 
                
@@ -33375,7 +33930,7 @@ 
                
-
                (tc/unique-by DS)
                
+
                (tc/unique-by DS)
                
 
 
                _unnamed [9 4]:
                
 
                
@@ -33445,7 +34000,7 @@ 
                
-
                (tc/unique-by DS [:V1 :V4])
                
+
                (tc/unique-by DS [:V1 :V4])
                
 
 
                _unnamed [6 4]:
                
 
                
@@ -33501,7 +34056,7 @@ 
                
-
                (tc/drop-missing DS)
                
+
                (tc/drop-missing DS)
                
 
 
                _unnamed [9 4]:
                
 
                
@@ -33575,8 +34130,8 @@ 
                
-
                ^:note-to-test/skip
-(tc/random DS 3)
                
+
                ^:note-to-test/skip
+(tc/random DS 3)
                
 
 
                _unnamed [3 4]:
                
 
                
@@ -33590,10 +34145,10 @@ 
                
-
                
-
-
-
+
+
+
+
@@ -33611,8 +34166,8 @@ 
                
-
                ^:note-to-test/skip
-(tc/random DS (/ (tc/row-count DS) 2))
                
+
                ^:note-to-test/skip
+(tc/random DS (/ (tc/row-count DS) 2))
                
 
 
                _unnamed [5 4]:
                
 
                240.5A151.0B
 
                
 
                
 1
                
@@ -33632,16 +34187,16 @@ 
                
-
                
-
-
-
+
+
+
+
-
-
-
-
+
+
+
+
@@ -33651,15 +34206,15 @@ 
                
 
                
-
-
-
+
+
+
                110.5A281.0B
 
                
 
                191.5C221.0B
 
                
 
                
 1191.5C51.0B
 
                
                 
 
                
 
                fraction of random rows
                
 
                
-
                (tc/by-rank DS :V1 zero?)
                
+
                (tc/by-rank DS :V1 zero?)
                
 
                
 
                _unnamed [4 4]:
                
 
@@ -33704,7 +34259,7 @@ 
                
-
                (tc/select-rows DS (comp (partial re-matches #"^B") str :V4))
                
+
                (tc/select-rows DS (comp (partial re-matches #"^B") str :V4))
                
 
 
                _unnamed [3 4]:
                
 
                
@@ -33738,7 +34293,7 @@ 
                
-
                (tc/select-rows DS (comp #(<= 3 % 5) :V2))
                
+
                (tc/select-rows DS (comp #(<= 3 % 5) :V2))
                
 
 
                _unnamed [3 4]:
                
 
                
@@ -33772,7 +34327,7 @@ 
                
-
                (tc/select-rows DS (comp #(< 3 % 5) :V2))
                
+
                (tc/select-rows DS (comp #(< 3 % 5) :V2))
                
 
 
                _unnamed [1 4]:
                
 
                
@@ -33794,7 +34349,7 @@ 
                
-
                (tc/select-rows DS (comp #(<= 3 % 5) :V2))
                
+
                (tc/select-rows DS (comp #(<= 3 % 5) :V2))
                
 
 
                _unnamed [3 4]:
                
 
                
@@ -33834,7 +34389,7 @@ 
                
-
                (tc/order-by DS :V3)
                
+
                (tc/order-by DS :V3)
                
 
 
                _unnamed [9 4]:
                
 
                
@@ -33908,7 +34463,7 @@ 
                
-
                (tc/order-by DS :V3 :desc)
                
+
                (tc/order-by DS :V3 :desc)
                
 
 
                _unnamed [9 4]:
                
 
                
@@ -33982,7 +34537,7 @@ 
                
-
                (tc/order-by DS [:V1 :V2] [:asc :desc])
                
+
                (tc/order-by DS [:V1 :V2] [:asc :desc])
                
 
 
                _unnamed [9 4]:
                
 
                
@@ -34056,16 +34611,16 @@ 
                
-
                (nth (tc/columns DS :as-seq) 2)
                
+
                (nth (tc/columns DS :as-seq) 2)
                
 
 
                
-
                #tech.v3.dataset.column&lt;float64&gt;[9]
-:V3
-[0.5000, 1.000, 1.500, 0.5000, 1.000, 1.500, 0.5000, 1.000, 1.500]
                
+
                #tech.v3.dataset.column&lt;float64&gt;[9]
+:V3
+[0.5000, 1.000, 1.500, 0.5000, 1.000, 1.500, 0.5000, 1.000, 1.500]
                
 
                
 
                as column (iterable)
                
 
                
-
                (tc/dataset [(nth (tc/columns DS :as-seq) 2)])
                
+
                (tc/dataset [(nth (tc/columns DS :as-seq) 2)])
                
 
                
 
                _unnamed [9 1]:
                
 
                
@@ -34109,7 +34664,7 @@ 
                
-
                (tc/select-columns DS :V2)
                
+
                (tc/select-columns DS :V2)
                
 
 
                _unnamed [9 1]:
                
 
                
@@ -34150,7 +34705,7 @@ 
                
-
                (tc/select-columns DS [:V2])
                
+
                (tc/select-columns DS [:V2])
                
 
 
                _unnamed [9 1]:
                
 
                
@@ -34191,12 +34746,12 @@ 
                
-
                (DS :V2)
                
+
                (DS :V2)
                
 
 
                
-
                #tech.v3.dataset.column&lt;int64&gt;[9]
-:V2
-[1, 2, 3, 4, 5, 6, 7, 8, 9]
                
+
                #tech.v3.dataset.column&lt;int64&gt;[9]
+:V2
+[1, 2, 3, 4, 5, 6, 7, 8, 9]
                
 
                
 
                as column (iterable)
                
 
                           ---
@@ -34204,7 +34759,7 @@ 
                
-
                (tc/select-columns DS [:V2 :V3 :V4])
                
+
                (tc/select-columns DS [:V2 :V3 :V4])
                
 
 
                _unnamed [9 3]:
                
 
                
@@ -34268,7 +34823,7 @@ 
                
-
                (tc/select-columns DS (complement #{:V2 :V3 :V4}))
                
+
                (tc/select-columns DS (complement #{:V2 :V3 :V4}))
                
 
 
                _unnamed [9 1]:
                
 
                
@@ -34308,7 +34863,7 @@ 
                
-
                (tc/drop-columns DS [:V2 :V3 :V4])
                
+
                (tc/drop-columns DS [:V2 :V3 :V4])
                
 
 
                _unnamed [9 1]:
                
 
                
@@ -34352,9 +34907,9 @@ 
                
-
                (->> (range 1 3)
-     (map (comp keyword (partial format "V%d")))
-     (tc/select-columns DS))
                
+
                (->> (range 1 3)
+     (map (comp keyword (partial format "V%d")))
+     (tc/select-columns DS))
                
 
 
                _unnamed [9 2]:
                
 
                
@@ -34404,7 +34959,7 @@ 
                
-
                (tc/reorder-columns DS :V4)
                
+
                (tc/reorder-columns DS :V4)
                
 
 
                _unnamed [9 4]:
                
 
                
@@ -34474,7 +35029,7 @@ 
                
-
                (tc/select-columns DS #(clojure.string/starts-with? (name %) "V"))
                
+
                (tc/select-columns DS #(clojure.string/starts-with? (name %) "V"))
                
 
 
                _unnamed [9 4]:
                
 
                
@@ -34544,7 +35099,7 @@ 
                
-
                (tc/select-columns DS #(clojure.string/ends-with? (name %) "3"))
                
+
                (tc/select-columns DS #(clojure.string/ends-with? (name %) "3"))
                
 
 
                _unnamed [9 1]:
                
 
                
@@ -34584,7 +35139,7 @@ 
                
-
                (tc/select-columns DS #"..2")
                
+
                (tc/select-columns DS #"..2")
                
 
 
                _unnamed [9 1]:
                
 
                
@@ -34625,7 +35180,7 @@ 
                
-
                (tc/select-columns DS #{:V1 "X"})
                
+
                (tc/select-columns DS #{:V1 "X"})
                
 
 
                _unnamed [9 1]:
                
 
                
@@ -34665,7 +35220,7 @@ 
                
-
                (tc/select-columns DS #(not (clojure.string/starts-with? (name %) "V2")))
                
+
                (tc/select-columns DS #(not (clojure.string/starts-with? (name %) "V2")))
                
 
 
                _unnamed [9 3]:
                
 
                
@@ -34729,14 +35284,14 @@ 
                
-
                (reduce + (DS :V1))
                
+
                (reduce + (DS :V1))
                
 
 
                
-
                13
                
+
                13
                
 
                
 
                using pure Clojure, as value
                
 
                
-
                (tc/aggregate-columns DS :V1 dfn/sum)
                
+
                (tc/aggregate-columns DS :V1 dfn/sum)
                
 
                
 
                _unnamed [1 1]:
                
 
                
@@ -34753,7 +35308,7 @@ 
                
-
                (tc/aggregate DS {:sumV1 #(dfn/sum (% :V1))})
                
+
                (tc/aggregate DS {:sumV1 #(dfn/sum (% :V1))})
                
 
 
                _unnamed [1 1]:
                
 
                
@@ -34773,8 +35328,8 @@ 
                
-
                (tc/aggregate DS [#(dfn/sum (% :V1))
-                   #(dfn/standard-deviation (% :V3))])
                
+
                (tc/aggregate DS [#(dfn/sum (% :V1))
+                   #(dfn/standard-deviation (% :V3))])
                
 
 
                _unnamed [1 2]:
                
 
                
@@ -34792,8 +35347,8 @@ 
                
-
                (tc/aggregate-columns DS [:V1 :V3] [dfn/sum
-                                     dfn/standard-deviation])
                
+
                (tc/aggregate-columns DS [:V1 :V3] [dfn/sum
+                                     dfn/standard-deviation])
                
 
 
                _unnamed [1 2]:
                
 
                
@@ -34815,8 +35370,8 @@ 
                
-
                (tc/aggregate DS {:sumv1 #(dfn/sum (% :V1))
-                   :sdv3 #(dfn/standard-deviation (% :V3))})
                
+
                (tc/aggregate DS {:sumv1 #(dfn/sum (% :V1))
+                   :sdv3 #(dfn/standard-deviation (% :V3))})
                
 
 
                _unnamed [1 2]:
                
 
                
@@ -34838,9 +35393,9 @@ 
                
-
                (-> DS
-    (tc/select-rows (range 4))
-    (tc/aggregate-columns :V1 dfn/sum))
                
+
                (-> DS
+    (tc/select-rows (range 4))
+    (tc/aggregate-columns :V1 dfn/sum))
                
 
 
                _unnamed [1 1]:
                
 
                
@@ -34857,9 +35412,9 @@ 
                
-
                (-> DS
-    (tc/first)
-    (tc/select-columns :V3))
                
+
                (-> DS
+    (tc/first)
+    (tc/select-columns :V3))
                
 
 
                _unnamed [1 1]:
                
 
                
@@ -34876,9 +35431,9 @@ 
                
-
                (-> DS
-    (tc/last)
-    (tc/select-columns :V3))
                
+
                (-> DS
+    (tc/last)
+    (tc/select-columns :V3))
                
 
 
                _unnamed [1 1]:
                
 
                
@@ -34895,9 +35450,9 @@ 
                
-
                (-> DS
-    (tc/select-rows 4)
-    (tc/select-columns :V3))
                
+
                (-> DS
+    (tc/select-rows 4)
+    (tc/select-columns :V3))
                
 
 
                _unnamed [1 1]:
                
 
                
@@ -34914,8 +35469,8 @@ 
                
-
                (-> DS
-    (tc/select :V3 4))
                
+
                (-> DS
+    (tc/select :V3 4))
                
 
 
                _unnamed [1 1]:
                
 
                
@@ -34932,9 +35487,9 @@ 
                
-
                (-> DS
-    (tc/unique-by :V4)
-    (tc/aggregate tc/row-count))
                
+
                (-> DS
+    (tc/unique-by :V4)
+    (tc/aggregate tc/row-count))
                
 
 
                _unnamed [1 1]:
                
 
                
@@ -34951,21 +35506,21 @@ 
                
-
                (-> DS
-    (tc/unique-by :V4)
-    (tc/row-count))
                
+
                (-> DS
+    (tc/unique-by :V4)
+    (tc/row-count))
                
 
 
                
-
                3
                
+
                3
                
 
                
 
                number of unique rows in :V4 column, as value
                
 
                
-
                (-> DS
-    (tc/unique-by)
-    (tc/row-count))
                
+
                (-> DS
+    (tc/unique-by)
+    (tc/row-count))
                
 
                
 
                
-
                9
                
+
                9
                
 
                
 
                number of unique rows in dataset, as value
                
 
                           ##### Add/update/delete columns
@@ -34973,7 +35528,7 @@ 
                
-
                (tc/map-columns DS :V1 [:V1] #(dfn/pow % 2))
                
+
                (tc/map-columns DS :V1 [:V1] #(dfn/pow % 2))
                
 
 
                _unnamed [9 4]:
                
 
                
@@ -35043,10 +35598,10 @@ 
                
-
                (def DS (tc/add-column DS :V1 (dfn/pow (DS :V1) 2)))
                
+
                (def DS (tc/add-column DS :V1 (dfn/pow (DS :V1) 2)))
                
 
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 4]:
                
 
                
@@ -35120,7 +35675,7 @@ 
                
-
                (tc/map-columns DS :v5 [:V1] dfn/log)
                
+
                (tc/map-columns DS :v5 [:V1] dfn/log)
                
 
 
                _unnamed [9 5]:
                
 
                
@@ -35200,10 +35755,10 @@ 
                
-
                (def DS (tc/add-column DS :v5 (dfn/log (DS :V1))))
                
+
                (def DS (tc/add-column DS :v5 (dfn/log (DS :V1))))
                
 
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 5]:
                
 
                
@@ -35287,11 +35842,11 @@ 
                
-
                (def DS (tc/add-columns DS {:v6 (dfn/sqrt (DS :V1))
-                                       :v7 "X"}))
                
+
                (def DS (tc/add-columns DS {:v6 (dfn/sqrt (DS :V1))
+                                       :v7 "X"}))
                
 
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 7]:
                
 
                
@@ -35395,7 +35950,7 @@ 
                
-
                (tc/dataset {:v8 (dfn/+ (DS :V3) 1)})
                
+
                (tc/dataset {:v8 (dfn/+ (DS :V3) 1)})
                
 
 
                _unnamed [9 1]:
                
 
                
@@ -35439,10 +35994,10 @@ 
                
-
                (def DS (tc/drop-columns DS :v5))
                
+
                (def DS (tc/drop-columns DS :v5))
                
 
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 6]:
                
 
                
@@ -35536,10 +36091,10 @@ 
                
-
                (def DS (tc/drop-columns DS [:v6 :v7]))
                
+
                (def DS (tc/drop-columns DS [:v6 :v7]))
                
 
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 4]:
                
 
                
@@ -35615,10 +36170,10 @@ 
                
-
                (def DS (tc/select-columns DS (complement #{:V3})))
                
+
                (def DS (tc/select-columns DS (complement #{:V3})))
                
 
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 3]:
                
 
                
@@ -35682,10 +36237,10 @@ 
                
-
                (def DS (tc/map-columns DS :V2 [:V2] #(if (< % 4.0) 0.0 %)))
                
+
                (def DS (tc/map-columns DS :V2 [:V2] #(if (< % 4.0) 0.0 %)))
                
 
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 3]:
                
 
                
@@ -35749,9 +36304,9 @@ 
                
-
                (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate {:sumV2 #(dfn/sum (% :V2))}))
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate {:sumV2 #(dfn/sum (% :V2))}))
                
 
 
                _unnamed [3 2]:
                
 
                
@@ -35781,9 +36336,9 @@ 
                
-
                (-> DS
-    (tc/group-by [:V4 :V1])
-    (tc/aggregate {:sumV2 #(dfn/sum (% :V2))}))
                
+
                (-> DS
+    (tc/group-by [:V4 :V1])
+    (tc/aggregate {:sumV2 #(dfn/sum (% :V2))}))
                
 
 
                _unnamed [6 3]:
                
 
                
@@ -35832,10 +36387,10 @@ 
                
-
                (-> DS
-    (tc/group-by (fn [row]
-                    (clojure.string/lower-case (:V4 row))))
-    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
                
+
                (-> DS
+    (tc/group-by (fn [row]
+                    (clojure.string/lower-case (:V4 row))))
+    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
                
 
 
                _unnamed [3 2]:
                
 
                
@@ -35865,10 +36420,10 @@ 
                
-
                (-> DS
-    (tc/group-by (fn [row]
-                    {:abc (clojure.string/lower-case (:V4 row))}))
-    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
                
+
                (-> DS
+    (tc/group-by (fn [row]
+                    {:abc (clojure.string/lower-case (:V4 row))}))
+    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
                
 
 
                _unnamed [3 2]:
                
 
                
@@ -35894,10 +36449,10 @@ 
                
-
                (-> DS
-    (tc/group-by (fn [row]
-                    (clojure.string/lower-case (:V4 row))))
-    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))} {:add-group-as-column :abc}))
                
+
                (-> DS
+    (tc/group-by (fn [row]
+                    (clojure.string/lower-case (:V4 row))))
+    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))} {:add-group-as-column :abc}))
                
 
 
                _unnamed [3 2]:
                
 
                
@@ -35925,9 +36480,9 @@ 
                
-
                (-> DS
-    (tc/group-by #(= (:V4 %) "A"))
-    (tc/aggregate #(dfn/sum (% :V1))))
                
+
                (-> DS
+    (tc/group-by #(= (:V4 %) "A"))
+    (tc/aggregate #(dfn/sum (% :V1))))
                
 
 
                _unnamed [2 2]:
                
 
                
@@ -35951,10 +36506,10 @@ 
                
-
                (-> DS
-    (tc/select-rows (range 5))
-    (tc/group-by :V4)
-    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
                
+
                (-> DS
+    (tc/select-rows (range 5))
+    (tc/group-by :V4)
+    (tc/aggregate {:sumV1 #(dfn/sum (% :V1))}))
                
 
 
                _unnamed [3 2]:
                
 
                
@@ -35982,9 +36537,9 @@ 
                
-
                (-> DS
-    (tc/group-by :V4)
-    (tc/aggregate tc/row-count))
                
+
                (-> DS
+    (tc/group-by :V4)
+    (tc/aggregate tc/row-count))
                
 
 
                _unnamed [3 2]:
                
 
                
@@ -36012,10 +36567,10 @@ 
                
-
                (-> DS
-    (tc/group-by [:V1])
-    (tc/add-column :n tc/row-count)
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by [:V1])
+    (tc/add-column :n tc/row-count)
+    (tc/ungroup))
                
 
 
                _unnamed [9 4]:
                
 
                
@@ -36087,9 +36642,9 @@ 
                
-
                (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns :V2 first))
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns :V2 first))
                
 
 
                _unnamed [3 2]:
                
 
                
@@ -36115,9 +36670,9 @@ 
                
-
                (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns :V2 last))
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns :V2 last))
                
 
 
                _unnamed [3 2]:
                
 
                
@@ -36143,9 +36698,9 @@ 
                
-
                (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns :V2 #(nth % 1)))
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns :V2 #(nth % 1)))
                
 
 
                _unnamed [3 2]:
                
 
                
@@ -36179,7 +36734,7 @@ 
                Advanced col
 
                Summarise all the columns
                
 
                custom max function which works on every type
                
 
                
-
                (tc/aggregate-columns DS :all (fn [col] (first (sort #(compare %2 %1) col))))
                
+
                (tc/aggregate-columns DS :all (fn [col] (first (sort #(compare %2 %1) col))))
                
 
                
 
                _unnamed [1 3]:
                
 
                
@@ -36201,7 +36756,7 @@ 
                Advanced col
 
                
 
                Summarise several columns
                
 
                
-
                (tc/aggregate-columns DS [:V1 :V2] dfn/mean)
                
+
                (tc/aggregate-columns DS [:V1 :V2] dfn/mean)
                
 
                
 
                _unnamed [1 2]:
                
 
                
@@ -36221,9 +36776,9 @@ 
                Advanced col
 
                
 
                Summarise several columns by group
                
 
                
-
                (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns [:V1 :V2] dfn/mean))
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns [:V1 :V2] dfn/mean))
                
 
                
 
                _unnamed [3 3]:
                
 
                
@@ -36255,11 +36810,11 @@ 
                Advanced col
 
                
 
                Summarise with more than one function by group
                
 
                
-
                (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate-columns [:V1 :V2] (fn [col]
-                                       {:sum (dfn/sum col)
-                                        :mean (dfn/mean col)})))
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate-columns [:V1 :V2] (fn [col]
+                                       {:sum (dfn/sum col)
+                                        :mean (dfn/mean col)})))
                
 
                
 
                _unnamed [3 5]:
                
 
                
@@ -36298,9 +36853,9 @@ 
                Advanced col
 
                
 
                Summarise using a condition
                
 
                
-
                (-> DS
-    (tc/select-columns :type/numerical)
-    (tc/aggregate-columns :all dfn/mean))
                
+
                (-> DS
+    (tc/select-columns :type/numerical)
+    (tc/aggregate-columns :all dfn/mean))
                
 
                
 
                _unnamed [1 2]:
                
 
@@ -36320,7 +36875,7 @@ 
                Advanced col
 
                
 
                Modify all the columns
                
 
                
-
                (tc/update-columns DS :all reverse)
                
+
                (tc/update-columns DS :all reverse)
                
 
                
 
                _unnamed [9 3]:
                
 
                
@@ -36382,9 +36937,9 @@ 
                Advanced col
 
                
 
                Modify several columns (dropping the others)
                
 
                
-
                (-> DS
-    (tc/select-columns [:V1 :V2])
-    (tc/update-columns :all dfn/sqrt))
                
+
                (-> DS
+    (tc/select-columns [:V1 :V2])
+    (tc/update-columns :all dfn/sqrt))
                
 
                
 
                _unnamed [9 2]:
                
 
                
@@ -36434,9 +36989,9 @@ 
                Advanced col
 
 
                
 
                
-
                (-> DS
-    (tc/select-columns (complement #{:V4}))
-    (tc/update-columns :all dfn/exp))
                
+
                (-> DS
+    (tc/select-columns (complement #{:V4}))
+    (tc/update-columns :all dfn/exp))
                
 
                
 
                _unnamed [9 2]:
                
 
@@ -36488,10 +37043,10 @@ 
                Advanced col
 
                
 
                Modify several columns (keeping the others)
                
 
                
-
                (def DS (tc/update-columns DS [:V1 :V2] dfn/sqrt))
                
+
                (def DS (tc/update-columns DS [:V1 :V2] dfn/sqrt))
                
 
                
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 3]:
                
 
                
@@ -36551,10 +37106,10 @@ 
                Advanced col
 
 
                
 
                
-
                (def DS (tc/update-columns DS (complement #{:V4}) #(dfn/pow % 2)))
                
+
                (def DS (tc/update-columns DS (complement #{:V4}) #(dfn/pow % 2)))
                
 
                
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 3]:
                
 
@@ -36616,9 +37171,9 @@ 
                Advanced col
 
                
 
                Modify columns using a condition (dropping the others)
                
 
                
-
                (-> DS
-    (tc/select-columns :type/numerical)
-    (tc/update-columns :all #(dfn/- % 1)))
                
+
                (-> DS
+    (tc/select-columns :type/numerical)
+    (tc/update-columns :all #(dfn/- % 1)))
                
 
                
 
                _unnamed [9 2]:
                
 
                
@@ -36670,10 +37225,10 @@ 
                Advanced col
 
                
 
                Modify columns using a condition (keeping the others)
                
 
                
-
                (def DS (tc/convert-types DS :type/numerical :int32))
                
+
                (def DS (tc/convert-types DS :type/numerical :int32))
                
 
                
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 3]:
                
 
                
@@ -36735,11 +37290,11 @@ 
                Advanced col
 
                
 
                Use a complex expression
                
 
                
-
                (-> DS
-    (tc/group-by [:V4])
-    (tc/head 2)
-    (tc/add-column :V2 "X")
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/head 2)
+    (tc/add-column :V2 "X")
+    (tc/ungroup))
                
 
                
 
                _unnamed [6 3]:
                
 
                
@@ -36786,11 +37341,11 @@ 
                Advanced col
 
                
 
                Use multiple expressions
                
 
                
-
                (tc/dataset (let [x (dfn/+ (DS :V1) (dfn/sum (DS :V2)))]
-               (println (seq (DS :V1)))
-               (println (tc/info (tc/select-columns DS :V1)))
-               {:A (range 1 (inc (tc/row-count DS)))
-                :B x}))
                
+
                (tc/dataset (let [x (dfn/+ (DS :V1) (dfn/sum (DS :V2)))]
+               (println (seq (DS :V1)))
+               (println (tc/info (tc/select-columns DS :V1)))
+               {:A (range 1 (inc (tc/row-count DS)))
+                :B x}))
                
 
                
 
                _unnamed [9 2]:
                
 
                
@@ -36844,10 +37399,10 @@ 
                Advanced col
 
                Chain expressions
                Expression chaining using >
                
-
                (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate {:V1sum #(dfn/sum (% :V1))})
-    (tc/select-rows #(>= (:V1sum %) 5)))
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate {:V1sum #(dfn/sum (% :V1))})
+    (tc/select-rows #(>= (:V1sum %) 5)))
                
 
                _unnamed [3 2]:
                
 
 
 
 
                
@@ -36873,10 +37428,10 @@ 
                Chain expressions
                
 
 
                
 
                
-
                (-> DS
-    (tc/group-by [:V4])
-    (tc/aggregate {:V1sum #(dfn/sum (% :V1))})
-    (tc/order-by :V1sum :desc))
                
+
                (-> DS
+    (tc/group-by [:V4])
+    (tc/aggregate {:V1sum #(dfn/sum (% :V1))})
+    (tc/order-by :V1sum :desc))
                
 
                
 
                _unnamed [3 2]:
                
 
@@ -36906,10 +37461,10 @@ 
                Chain expressions
                Indexing and Keys
                Set the key/index (order)
                
-
                (def DS (tc/order-by DS :V4))
                
+
                (def DS (tc/order-by DS :V4))
                
 
                
-
                DS
                
+
                DS
                
 
                _unnamed [9 3]:
                
 
 
 
 
 
 
                
@@ -36970,7 +37525,7 @@ 
                Indexing and Keys
                
 
                
 
                Select the matching rows
                
 
                
-
                (tc/select-rows DS #(= (:V4 %) "A"))
                
+
                (tc/select-rows DS #(= (:V4 %) "A"))
                
 
                
 
                _unnamed [3 3]:
                
 
@@ -37000,7 +37555,7 @@ 
                Indexing and Keys
                
 
 
                
 
                
-
                (tc/select-rows DS (comp #{"A" "C"} :V4))
                
+
                (tc/select-rows DS (comp #{"A" "C"} :V4))
                
 
                
 
                _unnamed [6 3]:
                
 
@@ -37047,9 +37602,9 @@ 
                Indexing and Keys
                Select the first matching row
                
-
                (-> DS
-    (tc/select-rows #(= (:V4 %) "B"))
-    (tc/first))
                
+
                (-> DS
+    (tc/select-rows #(= (:V4 %) "B"))
+    (tc/first))
                
 
                _unnamed [1 3]:
                
 
 
 
 
 
                
@@ -37069,9 +37624,9 @@ 
                Indexing and Keys
                
 
 
                
 
                
-
                (-> DS
-    (tc/unique-by :V4)
-    (tc/select-rows (comp #{"B" "C"} :V4)))
                
+
                (-> DS
+    (tc/unique-by :V4)
+    (tc/select-rows (comp #{"B" "C"} :V4)))
                
 
                
 
                _unnamed [2 3]:
                
 
@@ -37098,9 +37653,9 @@ 
                Indexing and Keys
                Select the last matching row
                
-
                (-> DS
-    (tc/select-rows #(= (:V4 %) "A"))
-    (tc/last))
                
+
                (-> DS
+    (tc/select-rows #(= (:V4 %) "A"))
+    (tc/last))
                
 
                _unnamed [1 3]:
                
 
 
 
 
 
                
@@ -37122,7 +37677,7 @@ 
                Indexing and Keys
                Nomatch argument
                
-
                (tc/select-rows DS (comp #{"A" "D"} :V4))
                
+
                (tc/select-rows DS (comp #{"A" "D"} :V4))
                
 
                _unnamed [3 3]:
                
 
 
 
 
 
                
@@ -37154,10 +37709,10 @@ 
                Indexing and Keys
                Apply a function on the matching rows
                
-
                (-> DS
-    (tc/select-rows (comp #{"A" "C"} :V4))
-    (tc/aggregate-columns :V1 (fn [col]
-                                 {:sum (dfn/sum col)})))
                
+
                (-> DS
+    (tc/select-rows (comp #{"A" "C"} :V4))
+    (tc/aggregate-columns :V1 (fn [col]
+                                 {:sum (dfn/sum col)})))
                
 
                _unnamed [1 1]:
                
 
 
 
 
 
                
@@ -37175,12 +37730,12 @@ 
                Indexing and Keys
                Modify values for matching rows
                
-
                (def DS (-> DS
-            (tc/map-columns :V1 [:V1 :V4] #(if (= %2 "A") 0 %1))
-            (tc/order-by :V4)))
                
+
                (def DS (-> DS
+            (tc/map-columns :V1 [:V1 :V4] #(if (= %2 "A") 0 %1))
+            (tc/order-by :V4)))
                
 
                
-
                DS
                
+
                DS
                
 
                _unnamed [9 3]:
                
 
 
 
 
 
 
                
@@ -37242,10 +37797,10 @@ 
                Indexing and Keys
                Use keys in by
                
-
                (-> DS
-    (tc/select-rows (comp (complement #{"B"}) :V4))
-    (tc/group-by [:V4])
-    (tc/aggregate-columns :V1 dfn/sum))
                
+
                (-> DS
+    (tc/select-rows (comp (complement #{"B"}) :V4))
+    (tc/group-by [:V4])
+    (tc/aggregate-columns :V1 dfn/sum))
                
 
                _unnamed [2 2]:
                
 
 
 
 
 
                
@@ -37269,7 +37824,7 @@ 
                Indexing and Keys
                Set keys/indices for multiple columns (ordered)
                
-
                (tc/order-by DS [:V4 :V1])
                
+
                (tc/order-by DS [:V4 :V1])
                
 
                _unnamed [9 3]:
                
 
 
 
 
 
                
@@ -37331,9 +37886,9 @@ 
                Indexing and Keys
                Subset using multiple keys/indices
                
-
                (-> DS
-    (tc/select-rows #(and (= (:V1 %) 1)
-                           (= (:V4 %) "C"))))
                
+
                (-> DS
+    (tc/select-rows #(and (= (:V1 %) 1)
+                           (= (:V4 %) "C"))))
                
 
                _unnamed [2 3]:
                
 
 
 
 
 
                
@@ -37358,9 +37913,9 @@ 
                Indexing and Keys
                
 
 
                
 
                
-
                (-> DS
-    (tc/select-rows #(and (= (:V1 %) 1)
-                           (#{"B" "C"} (:V4 %)))))
                
+
                (-> DS
+    (tc/select-rows #(and (= (:V1 %) 1)
+                           (#{"B" "C"} (:V4 %)))))
                
 
                
 
                _unnamed [3 3]:
                
 
@@ -37390,12 +37945,12 @@ 
                Indexing and Keys
                
 
 
                
 
                
-
                (-> DS
-    (tc/select-rows #(and (= (:V1 %) 1)
-                           (#{"B" "C"} (:V4 %))) {:result-type :as-indexes}))
                
+
                (-> DS
+    (tc/select-rows #(and (= (:V1 %) 1)
+                           (#{"B" "C"} (:V4 %))) {:result-type :as-indexes}))
                
 
                
 
                
-
                (4 6 8)
                
+
                (4 6 8)
                
 
                
 
                
 
                
@@ -37403,11 +37958,11 @@ 
                set*() modifications
                Replace values
                
 
                There is no mutating operations tech.ml.dataset or easy way to set value.
                
 
                
-
                (def DS (tc/update-columns DS :V2 #(map-indexed (fn [idx v]
-                                                   (if (zero? idx) 3 v)) %)))
                
+
                (def DS (tc/update-columns DS :V2 #(map-indexed (fn [idx v]
+                                                   (if (zero? idx) 3 v)) %)))
                
 
                
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 3]:
                
 
@@ -37469,10 +38024,10 @@ 
                set*() modifications
                Reorder rows
                
-
                (def DS (tc/order-by DS [:V4 :V1] [:asc :desc]))
                
+
                (def DS (tc/order-by DS [:V4 :V1] [:asc :desc]))
                
 
                
-
                DS
                
+
                DS
                
 
                _unnamed [9 3]:
                
 
 
 
 
 
                
@@ -37534,10 +38089,10 @@ 
                set*() modifications
                Modify colnames
                
-
                (def DS (tc/rename-columns DS {:V2 "v2"}))
                
+
                (def DS (tc/rename-columns DS {:V2 "v2"}))
                
 
                
-
                DS
                
+
                DS
                
 
                _unnamed [9 3]:
                
 
 
 
 
 
                
@@ -37597,16 +38152,16 @@ 
                set*() modifications
                
 
                
 
                
-
                (def DS (tc/rename-columns DS {"v2" :V2}))
                
+
                (def DS (tc/rename-columns DS {"v2" :V2}))
                
 
                
 
                revert back
                
 
                
 
                Reorder columns
                
 
                
-
                (def DS (tc/reorder-columns DS :V4 :V1 :V2))
                
+
                (def DS (tc/reorder-columns DS :V4 :V1 :V2))
                
 
                
 
                
-
                DS
                
+
                DS
                
 
                
 
                _unnamed [9 3]:
                
 
@@ -37670,10 +38225,10 @@ 
                set*() modifications
                Advanced use of by
                Select first/last/… row by group
                
-
                (-> DS
-    (tc/group-by :V4)
-    (tc/first)
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by :V4)
+    (tc/first)
+    (tc/ungroup))
                
 
                _unnamed [3 3]:
                
 
 
 
 
                
@@ -37703,10 +38258,10 @@ 
                Advanced use of by
                
 
 
                
 
                
-
                (-> DS
-    (tc/group-by :V4)
-    (tc/select-rows [0 2])
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by :V4)
+    (tc/select-rows [0 2])
+    (tc/ungroup))
                
 
                
 
                _unnamed [6 3]:
                
 
@@ -37751,10 +38306,10 @@ 
                Advanced use of by
                
 
 
                
 
                
-
                (-> DS
-    (tc/group-by :V4)
-    (tc/tail 2)
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by :V4)
+    (tc/tail 2)
+    (tc/ungroup))
                
 
                
 
                _unnamed [6 3]:
                
 
@@ -37801,11 +38356,11 @@ 
                Advanced use of by
                Select rows using a nested query
                
-
                (-> DS
-    (tc/group-by :V4)
-    (tc/order-by :V2)
-    (tc/first)
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/group-by :V4)
+    (tc/order-by :V2)
+    (tc/first)
+    (tc/ungroup))
                
 
                _unnamed [3 3]:
                
 
 
 
 
 
                
@@ -37836,9 +38391,9 @@ 
                Advanced use of by
                
 
                
 
                Add a group counter column
                
 
                
-
                (-> DS
-    (tc/group-by [:V4 :V1])
-    (tc/ungroup {:add-group-id-as-column :Grp}))
                
+
                (-> DS
+    (tc/group-by [:V4 :V1])
+    (tc/ungroup {:add-group-id-as-column :Grp}))
                
 
                
 
                _unnamed [9 4]:
                
 
@@ -37910,11 +38465,11 @@ 
                Advanced use of by
                Get row number of first (and last) observation by group
                
-
                (-> DS
-    (tc/add-column :row-id (range))
-    (tc/select-columns [:V4 :row-id])
-    (tc/group-by :V4)
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/add-column :row-id (range))
+    (tc/select-columns [:V4 :row-id])
+    (tc/group-by :V4)
+    (tc/ungroup))
                
 
                _unnamed [9 2]:
                
 
 
 
 
 
                
@@ -37964,12 +38519,12 @@ 
                Advanced use of by
                
 
 
                
 
                
-
                (-> DS
-    (tc/add-column :row-id (range))
-    (tc/select-columns [:V4 :row-id])
-    (tc/group-by :V4)
-    (tc/first)
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/add-column :row-id (range))
+    (tc/select-columns [:V4 :row-id])
+    (tc/group-by :V4)
+    (tc/first)
+    (tc/ungroup))
                
 
                
 
                _unnamed [3 2]:
                
 
@@ -37995,12 +38550,12 @@ 
                Advanced use of by
                
 
 
                
 
                
-
                (-> DS
-    (tc/add-column :row-id (range))
-    (tc/select-columns [:V4 :row-id])
-    (tc/group-by :V4)
-    (tc/select-rows [0 2])
-    (tc/ungroup))
                
+
                (-> DS
+    (tc/add-column :row-id (range))
+    (tc/select-columns [:V4 :row-id])
+    (tc/group-by :V4)
+    (tc/select-rows [0 2])
+    (tc/ungroup))
                
 
                
 
                _unnamed [6 2]:
                
 
@@ -38040,9 +38595,9 @@ 
                Advanced use of by
                Handle list-columns by group
                
-
                (-> DS
-    (tc/select-columns [:V1 :V4])
-    (tc/fold-by :V4))
                
+
                (-> DS
+    (tc/select-columns [:V1 :V4])
+    (tc/fold-by :V4))
                
 
                _unnamed [3 2]:
                
 
 
 
 
 
                
@@ -38068,9 +38623,9 @@ 
                Advanced use of by
                
 
 
                
 
                
-
                (-> DS
-    (tc/group-by :V4)
-    (tc/unmark-group))
                
+
                (-> DS
+    (tc/group-by :V4)
+    (tc/unmark-group))
                
 
                
 
                _unnamed [3 3]:
                
 
@@ -38110,30 +38665,30 @@ 
                Miscellaneous
                Read / Write data
                Write data to a csv file
                
-
                (tc/write! DS "DF.csv")
                
+
                (tc/write! DS "DF.csv")
                
 
                
-
                10
                
+
                10
                
 
                Write data to a tab-delimited file
                
-
                (tc/write! DS "DF.txt" {:separator \tab})
                
+
                (tc/write! DS "DF.txt" {:separator \tab})
                
 
                
-
                10
                
+
                10
                
 
                or
                
-
                (tc/write! DS "DF.tsv")
                
+
                (tc/write! DS "DF.tsv")
                
 
                
-
                10
                
+
                10
                
 
                Read a csv / tab-delimited file
                
-
                (tc/dataset "DF.csv" {:key-fn keyword})
                
+
                (tc/dataset "DF.csv" {:key-fn keyword})
                
 
                DF.csv [9 3]:
                
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
                
@@ -38193,8 +38748,8 @@ 
                Read / Write data
                
 
 
                
 
                
-
                ^:note-to-test/skip
-(tc/dataset "DF.txt" {:key-fn keyword})
                
+
                ^:note-to-test/skip
+(tc/dataset "DF.txt" {:key-fn keyword})
                
 
                
 
                DF.txt [9 1]:
                
 
@@ -38234,7 +38789,7 @@ 
                Read / Write data
                
 
 
                
 
                
-
                (tc/dataset "DF.tsv" {:key-fn keyword})
                
+
                (tc/dataset "DF.tsv" {:key-fn keyword})
                
 
                
 
                DF.tsv [9 3]:
                
 
@@ -38296,8 +38851,8 @@ 
                Read / Write data
                Read a csv file selecting / droping columns
                
-
                (tc/dataset "DF.csv" {:key-fn keyword
-                       :column-whitelist ["V1" "V4"]})
                
+
                (tc/dataset "DF.csv" {:key-fn keyword
+                       :column-whitelist ["V1" "V4"]})
                
 
                DF.csv [9 2]:
                
 
 
 
 
 
                
@@ -38347,8 +38902,8 @@ 
                Read / Write data
                
 
 
                
 
                
-
                (tc/dataset "DF.csv" {:key-fn keyword
-                       :column-blacklist ["V4"]})
                
+
                (tc/dataset "DF.csv" {:key-fn keyword
+                       :column-blacklist ["V4"]})
                
 
                
 
                DF.csv [9 2]:
                
 
@@ -38400,7 +38955,7 @@ 
                Read / Write data
                Read and rbind several files
                
-
                (apply tc/concat (map tc/dataset ["DF.csv" "DF.csv"]))
                
+
                (apply tc/concat (map tc/dataset ["DF.csv" "DF.csv"]))
                
 
                DF.csv [18 3]:
                
 
 
 
 
 
                
@@ -38509,11 +39064,11 @@ 
                Read / Write data
                Reshape data
                Melt data (from wide to long)
                
-
                (def mDS (tc/pivot->longer DS [:V1 :V2] {:target-columns :variable
-                                          :value-column-name :value}))
                
+
                (def mDS (tc/pivot->longer DS [:V1 :V2] {:target-columns :variable
+                                          :value-column-name :value}))
                
 
                
-
                mDS
                
+
                mDS
                
 
                _unnamed [18 3]:
                
 
 
 
 
 
 
                
@@ -38620,9 +39175,9 @@ 
                Reshape data
                Cast data (from long to wide)
                
-
                (-> mDS
-    (tc/pivot->wider :variable :value {:fold-fn vec})
-    (tc/update-columns ["V1" "V2"] (partial map count)))
                
+
                (-> mDS
+    (tc/pivot->wider :variable :value {:fold-fn vec})
+    (tc/update-columns ["V1" "V2"] (partial map count)))
                
 
                _unnamed [3 3]:
                
 
 
 
 
 
                
@@ -38652,9 +39207,9 @@ 
                Reshape data
                
 
 
                
 
                
-
                (-> mDS
-    (tc/pivot->wider :variable :value {:fold-fn vec})
-    (tc/update-columns ["V1" "V2"] (partial map dfn/sum)))
                
+
                (-> mDS
+    (tc/pivot->wider :variable :value {:fold-fn vec})
+    (tc/update-columns ["V1" "V2"] (partial map dfn/sum)))
                
 
                
 
                _unnamed [3 3]:
                
 
@@ -38684,11 +39239,11 @@ 
                Reshape data
                
 
 
                
 
                
-
                ^:note-to-test/skip
-(-> mDS
-    (tc/map-columns :value #(str (> % 5))) ;; coerce to strings
-    (tc/pivot->wider :value :variable {:fold-fn vec})
-    (tc/update-columns ["true" "false"] (partial map #(if (sequential? %) (count %) 1))))
                
+
                ^:note-to-test/skip
+(-> mDS
+    (tc/map-columns :value #(str (> % 5))) ;; coerce to strings
+    (tc/pivot->wider :value :variable {:fold-fn vec})
+    (tc/update-columns ["true" "false"] (partial map #(if (sequential? %) (count %) 1))))
                
 
                
 
                _unnamed [3 3]:
                
 
@@ -38720,7 +39275,7 @@ 
                Reshape data
                Split
                
-
                (tc/group-by DS :V4 {:result-type :as-map})
                
+
                (tc/group-by DS :V4 {:result-type :as-map})
                
 
                
 
                
@@ -38952,9 +39507,9 @@ 
                Reshape data
                
 
                
 
                Split and transpose a vector/column
                
 
                
-
                (-> {:a ["A:a" "B:b" "C:c"]}
-    (tc/dataset)
-    (tc/separate-column :a [:V1 :V2] ":"))
                
+
                (-> {:a ["A:a" "B:b" "C:c"]}
+    (tc/dataset)
+    (tc/separate-column :a [:V1 :V2] ":"))
                
 
                
 
                _unnamed [3 2]:
                
 
                
 
 
 
 
                
@@ -38988,17 +39543,17 @@ 
                Other
                
 
                Join/Bind data sets
                
 
                
-
                (def x (tc/dataset {"Id" ["A" "B" "C" "C"]
-                     "X1" [1 3 5 7]
-                     "XY" ["x2" "x4" "x6" "x8"]}))
                
+
                (def x (tc/dataset {"Id" ["A" "B" "C" "C"]
+                     "X1" [1 3 5 7]
+                     "XY" ["x2" "x4" "x6" "x8"]}))
                
 
                
 
                
-
                (def y (tc/dataset {"Id" ["A" "B" "B" "D"]
-                     "Y1" [1 3 5 7]
-                     "XY" ["y1" "y3" "y5" "y7"]}))
                
+
                (def y (tc/dataset {"Id" ["A" "B" "B" "D"]
+                     "Y1" [1 3 5 7]
+                     "XY" ["y1" "y3" "y5" "y7"]}))
                
 
                
 
                
-
                x
                
+
                x
                
 
                
 
                _unnamed [4 3]:
                
 
                
 
                
@@ -39033,7 +39588,7 @@ 
                Join/Bind data sets
                
 
                
 
                
-
                y
                
+
                y
                
 
                
 
                _unnamed [4 3]:
                
 
@@ -39071,7 +39626,7 @@ 
                Join/Bind data sets
                Join
                Join matching rows from y to x
                
-
                (tc/left-join x y "Id")
                
+
                (tc/left-join x y "Id")
                
 
                left-outer-join [5 6]:
                
 
 
 
 
                
@@ -39131,7 +39686,7 @@ 
                Join
                Join matching rows from x to y
                
-
                (tc/right-join x y "Id")
                
+
                (tc/right-join x y "Id")
                
 
                right-outer-join [4 6]:
                
 
 
 
 
 
                
@@ -39183,7 +39738,7 @@ 
                Join
                Join matching rows from both x and y
                
-
                (tc/inner-join x y "Id")
                
+
                (tc/inner-join x y "Id")
                
 
                inner-join [3 5]:
                
 
 
 
 
 
                
@@ -39223,7 +39778,7 @@ 
                Join
                Join keeping all the rows
                
-
                (tc/full-join x y "Id")
                
+
                (tc/full-join x y "Id")
                
 
                outer-join [6 5]:
                
 
 
 
 
 
                
@@ -39284,7 +39839,7 @@ 
                Join
                Return rows from x matching y
                
-
                (tc/semi-join x y "Id")
                
+
                (tc/semi-join x y "Id")
                
 
                _unnamed [2 3]:
                
 
 
 
 
 
                
@@ -39311,7 +39866,7 @@ 
                Join
                Return rows from x not matching y
                
-
                (tc/anti-join x y "Id")
                
+
                (tc/anti-join x y "Id")
                
 
                _unnamed [2 3]:
                
 
 
 
 
 
                
@@ -39340,9 +39895,9 @@ 
                Join
                More joins
                Select columns while joining
                
-
                (tc/right-join (tc/select-columns x ["Id" "X1"])
-                (tc/select-columns y ["Id" "XY"])
-                "Id")
                
+
                (tc/right-join (tc/select-columns x ["Id" "X1"])
+                (tc/select-columns y ["Id" "XY"])
+                "Id")
                
 
                right-outer-join [4 4]:
                
 
 
 
 
 
                
@@ -39382,9 +39937,9 @@ 
                More joins
                
 
 
                
 
                
-
                (tc/right-join (tc/select-columns x ["Id" "XY"])
-                (tc/select-columns y ["Id" "XY"])
-                "Id")
                
+
                (tc/right-join (tc/select-columns x ["Id" "XY"])
+                (tc/select-columns y ["Id" "XY"])
+                "Id")
                
 
                
 
                right-outer-join [4 4]:
                
 
@@ -39425,13 +39980,13 @@ 
                More joins
                
 
                
 
                Aggregate columns while joining
                
 
                
-
                (-> y
-    (tc/group-by ["Id"])
-    (tc/aggregate {"sumY1" #(dfn/sum (% "Y1"))})
-    (tc/right-join x "Id")
-    (tc/add-column "X1Y1" (fn [ds] (dfn/* (ds "sumY1")
-                                                    (ds "X1"))))
-    (tc/select-columns ["right.Id" "X1Y1"]))
                
+
                (-> y
+    (tc/group-by ["Id"])
+    (tc/aggregate {"sumY1" #(dfn/sum (% "Y1"))})
+    (tc/right-join x "Id")
+    (tc/add-column "X1Y1" (fn [ds] (dfn/* (ds "sumY1")
+                                                    (ds "X1"))))
+    (tc/select-columns ["right.Id" "X1Y1"]))
                
 
                
 
                right-outer-join [4 2]:
                
 
@@ -39462,11 +40017,11 @@ 
                More joins
                
 
                
 
                Update columns while joining
                
 
                
-
                (-> x
-    (tc/select-columns ["Id" "X1"])
-    (tc/map-columns "SqX1" "X1" (fn [x] (* x x)))
-    (tc/right-join y "Id")
-    (tc/drop-columns ["X1" "Id"]))
                
+
                (-> x
+    (tc/select-columns ["Id" "X1"])
+    (tc/map-columns "SqX1" "X1" (fn [x] (* x x)))
+    (tc/right-join y "Id")
+    (tc/drop-columns ["X1" "Id"]))
                
 
                
 
                right-outer-join [4 4]:
                
 
@@ -39508,9 +40063,9 @@ 
                More joins
                Adds a list column with rows from y matching x (nest-join)
                
-
                (-> (tc/left-join x y "Id")
-    (tc/drop-columns ["right.Id"])
-    (tc/fold-by (tc/column-names x)))
                
+
                (-> (tc/left-join x y "Id")
+    (tc/drop-columns ["right.Id"])
+    (tc/fold-by (tc/column-names x)))
                
 
                _unnamed [4 5]:
                
 
 
 
 
 
                
@@ -39559,11 +40114,11 @@ 
                More joins
                Cross join
                
-
                (def cjds (tc/dataset {:V1 [[2 1 1]]
-                        :V2 [[3 2]]}))
                
+
                (def cjds (tc/dataset {:V1 [[2 1 1]]
+                        :V2 [[3 2]]}))
                
 
                
-
                cjds
                
+
                cjds
                
 
                _unnamed [1 2]:
                
 
 
 
 
 
 
                
@@ -39581,7 +40136,7 @@ 
                More joins
                
 
 
                
 
                
-
                (reduce #(tc/unroll %1 %2) cjds (tc/column-names cjds))
                
+
                (reduce #(tc/unroll %1 %2) cjds (tc/column-names cjds))
                
 
                
 
                _unnamed [6 2]:
                
 
@@ -39619,8 +40174,8 @@ 
                More joins
                
 
 
                
 
                
-
                (-> (reduce #(tc/unroll %1 %2) cjds (tc/column-names cjds))
-    (tc/unique-by))
                
+
                (-> (reduce #(tc/unroll %1 %2) cjds (tc/column-names cjds))
+    (tc/unique-by))
                
 
                
 
                _unnamed [4 2]:
                
 
@@ -39653,17 +40208,17 @@ 
                More joins
                
 
                Bind
                
 
                
-
                (def x (tc/dataset {:V1 [1 2 3]}))
                
+
                (def x (tc/dataset {:V1 [1 2 3]}))
                
 
                
 
                
-
                (def y (tc/dataset {:V1 [4 5 6]}))
                
+
                (def y (tc/dataset {:V1 [4 5 6]}))
                
 
                
 
                
-
                (def z (tc/dataset {:V1 [7 8 9]
-                     :V2 [0 0 0]}))
                
+
                (def z (tc/dataset {:V1 [7 8 9]
+                     :V2 [0 0 0]}))
                
 
                
 
                
-
                x
                
+
                x
                
 
                
 
                _unnamed [3 1]:
                
 
                
 
                
@@ -39685,7 +40240,7 @@ 
                Bind
                
 
 
                
 
                
-
                y
                
+
                y
                
 
                
 
                _unnamed [3 1]:
                
 
@@ -39707,7 +40262,7 @@ 
                Bind
                
 
 
                
 
                
-
                z
                
+
                z
                
 
                
 
                _unnamed [3 2]:
                
 
@@ -39735,7 +40290,7 @@ 
                Bind
                Bind rows
                
-
                (tc/bind x y)
                
+
                (tc/bind x y)
                
 
                _unnamed [6 1]:
                
 
 
 
 
 
                
@@ -39766,7 +40321,7 @@ 
                Bind
                
 
 
                
 
                
-
                (tc/bind x z)
                
+
                (tc/bind x z)
                
 
                
 
                _unnamed [6 2]:
                
 
@@ -39806,9 +40361,9 @@ 
                Bind
                Bind rows using a list
                
-
                (->> [x y]
-     (map-indexed #(tc/add-column %2 :id (repeat %1)))
-     (apply tc/bind))
                
+
                (->> [x y]
+     (map-indexed #(tc/add-column %2 :id (repeat %1)))
+     (apply tc/bind))
                
 
                _unnamed [6 2]:
                
 
 
 
 
 
                
@@ -39848,7 +40403,7 @@ 
                Bind
                Bind columns
                
-
                (tc/append x y)
                
+
                (tc/append x y)
                
 
                _unnamed [3 2]:
                
 
 
 
 
 
                
@@ -39877,13 +40432,13 @@ 
                Bind
                
 
                Set operations
                
 
                
-
                (def x (tc/dataset {:V1 [1 2 2 3 3]}))
                
+
                (def x (tc/dataset {:V1 [1 2 2 3 3]}))
                
 
                
 
                
-
                (def y (tc/dataset {:V1 [2 2 3 4 4]}))
                
+
                (def y (tc/dataset {:V1 [2 2 3 4 4]}))
                
 
                
 
                
-
                x
                
+
                x
                
 
                
 
                _unnamed [5 1]:
                
 
                
 
                
@@ -39911,7 +40466,7 @@ 
                Set operations
                
 
 
                
 
                
-
                y
                
+
                y
                
 
                
 
                _unnamed [5 1]:
                
 
@@ -39941,7 +40496,7 @@ 
                Set operations
                Intersection
                
-
                (tc/intersect x y)
                
+
                (tc/intersect x y)
                
 
                intersection [4 1]:
                
 
 
 
 
 
                
@@ -39968,7 +40523,7 @@ 
                Set operations
                Difference
                
-
                (tc/difference x y)
                
+
                (tc/difference x y)
                
 
                difference [1 1]:
                
 
 
 
 
 
                
@@ -39986,7 +40541,7 @@ 
                Set operations
                Union
                
-
                (tc/union x y)
                
+
                (tc/union x y)
                
 
                union [4 1]:
                
 
 
 
 
 
                
@@ -40011,7 +40566,7 @@ 
                Set operations
                
 
 
                
 
                
-
                (tc/concat x y)
                
+
                (tc/concat x y)
                
 
                
 
                _unnamed [10 1]:
                
 
@@ -40096,9 +40651,23 @@ 
                Set operations
                
     icon: icon
   };
   anchorJS.add('.anchored');
+  const isCodeAnnotation = (el) => {
+    for (const clz of el.classList) {
+      if (clz.startsWith('code-annotation-')) {                     
+        return true;
+      }
+    }
+    return false;
+  }
   const clipboard = new window.ClipboardJS('.code-copy-button', {
-    target: function(trigger) {
-      return trigger.previousElementSibling;
+    text: function(trigger) {
+      const codeEl = trigger.previousElementSibling.cloneNode(true);
+      for (const childEl of codeEl.children) {
+        if (isCodeAnnotation(childEl)) {
+          childEl.remove();
+        }
+      }
+      return codeEl.innerText;
     }
   });
   clipboard.on('success', function(e) {
@@ -40163,6 +40732,92 @@ 
                Set operations
                
       return note.innerHTML;
     });
   }
+      let selectedAnnoteEl;
+      const selectorForAnnotation = ( cell, annotation) => {
+        let cellAttr = 'data-code-cell="' + cell + '"';
+        let lineAttr = 'data-code-annotation="' +  annotation + '"';
+        const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
+        return selector;
+      }
+      const selectCodeLines = (annoteEl) => {
+        const doc = window.document;
+        const targetCell = annoteEl.getAttribute("data-target-cell");
+        const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
+        const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
+        const lines = annoteSpan.getAttribute("data-code-lines").split(",");
+        const lineIds = lines.map((line) => {
+          return targetCell + "-" + line;
+        })
+        let top = null;
+        let height = null;
+        let parent = null;
+        if (lineIds.length > 0) {
+            //compute the position of the single el (top and bottom and make a div)
+            const el = window.document.getElementById(lineIds[0]);
+            top = el.offsetTop;
+            height = el.offsetHeight;
+            parent = el.parentElement.parentElement;
+          if (lineIds.length > 1) {
+            const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
+            const bottom = lastEl.offsetTop + lastEl.offsetHeight;
+            height = bottom - top;
+          }
+          if (top !== null && height !== null && parent !== null) {
+            // cook up a div (if necessary) and position it 
+            let div = window.document.getElementById("code-annotation-line-highlight");
+            if (div === null) {
+              div = window.document.createElement("div");
+              div.setAttribute("id", "code-annotation-line-highlight");
+              div.style.position = 'absolute';
+              parent.appendChild(div);
+            }
+            div.style.top = top - 2 + "px";
+            div.style.height = height + 4 + "px";
+            let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
+            if (gutterDiv === null) {
+              gutterDiv = window.document.createElement("div");
+              gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
+              gutterDiv.style.position = 'absolute';
+              const codeCell = window.document.getElementById(targetCell);
+              const gutter = codeCell.querySelector('.code-annotation-gutter');
+              gutter.appendChild(gutterDiv);
+            }
+            gutterDiv.style.top = top - 2 + "px";
+            gutterDiv.style.height = height + 4 + "px";
+          }
+          selectedAnnoteEl = annoteEl;
+        }
+      };
+      const unselectCodeLines = () => {
+        const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
+        elementsIds.forEach((elId) => {
+          const div = window.document.getElementById(elId);
+          if (div) {
+            div.remove();
+          }
+        });
+        selectedAnnoteEl = undefined;
+      };
+      // Attach click handler to the DT
+      const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
+      for (const annoteDlNode of annoteDls) {
+        annoteDlNode.addEventListener('click', (event) => {
+          const clickedEl = event.target;
+          if (clickedEl !== selectedAnnoteEl) {
+            unselectCodeLines();
+            const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
+            if (activeEl) {
+              activeEl.classList.remove('code-annotation-active');
+            }
+            selectCodeLines(clickedEl);
+            clickedEl.classList.add('code-annotation-active');
+          } else {
+            // Unselect the line
+            unselectCodeLines();
+            clickedEl.classList.remove('code-annotation-active');
+          }
+        });
+      }
   const findCites = (el) => {
     const parentEl = el.parentElement;
     if (parentEl) {
diff --git a/docs/index_files/libs/bootstrap/bootstrap.min.css b/docs/index_files/libs/bootstrap/bootstrap.min.css
index ffcabe7..4127010 100644
--- a/docs/index_files/libs/bootstrap/bootstrap.min.css
+++ b/docs/index_files/libs/bootstrap/bootstrap.min.css
@@ -1,10 +1,10 @@
-/*!
+@import"https://cdn.jsdelivr.net/npm/firacode@6.2.0/distr/fira_code.css";/*!
  * Bootstrap v5.1.3 (https://getbootstrap.com/)
  * Copyright 2011-2021 The Bootstrap Authors
  * Copyright 2011-2021 Twitter, Inc.
  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
- */@import"https://fonts.googleapis.com/css2?family=Open+Sans:ital,wght@0,400;0,700;1,400;1,700&display=swap";:root{--bs-blue: #446e9b;--bs-indigo: #6610f2;--bs-purple: #6f42c1;--bs-pink: #e83e8c;--bs-red: #cd0200;--bs-orange: #fd7e14;--bs-yellow: #d47500;--bs-green: #3cb521;--bs-teal: #20c997;--bs-cyan: #3399f3;--bs-white: #fff;--bs-gray: #777;--bs-gray-dark: #333;--bs-gray-100: #f8f9fa;--bs-gray-200: #eee;--bs-gray-300: #dee2e6;--bs-gray-400: #ced4da;--bs-gray-500: #999;--bs-gray-600: #777;--bs-gray-700: #495057;--bs-gray-800: #333;--bs-gray-900: #2d2d2d;--bs-default: #999;--bs-primary: #446e9b;--bs-secondary: #999;--bs-success: #3cb521;--bs-info: #3399f3;--bs-warning: #d47500;--bs-danger: #cd0200;--bs-light: #eee;--bs-dark: #333;--bs-default-rgb: 153, 153, 153;--bs-primary-rgb: 68, 110, 155;--bs-secondary-rgb: 153, 153, 153;--bs-success-rgb: 60, 181, 33;--bs-info-rgb: 51, 153, 243;--bs-warning-rgb: 212, 117, 0;--bs-danger-rgb: 205, 2, 0;--bs-light-rgb: 238, 238, 238;--bs-dark-rgb: 51, 51, 51;--bs-white-rgb: 255, 255, 255;--bs-black-rgb: 0, 0, 0;--bs-body-color-rgb: 119, 119, 119;--bs-body-bg-rgb: 255, 255, 255;--bs-font-sans-serif: "Open Sans", -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol";--bs-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;--bs-gradient: linear-gradient(180deg, rgba(255, 255, 255, 0.15), rgba(255, 255, 255, 0));--bs-root-font-size: 18px;--bs-body-font-family: var(--bs-font-sans-serif);--bs-body-font-size: 1rem;--bs-body-font-weight: 400;--bs-body-line-height: 1.5;--bs-body-color: #777;--bs-body-bg: #fff}*,*::before,*::after{box-sizing:border-box}:root{font-size:var(--bs-root-font-size)}body{margin:0;font-family:var(--bs-body-font-family);font-size:var(--bs-body-font-size);font-weight:var(--bs-body-font-weight);line-height:var(--bs-body-line-height);color:var(--bs-body-color);text-align:var(--bs-body-text-align);background-color:var(--bs-body-bg);-webkit-text-size-adjust:100%;-webkit-tap-highlight-color:rgba(0,0,0,0)}hr{margin:1rem 0;color:inherit;background-color:currentColor;border:0;opacity:.25}hr:not([size]){height:1px}h6,.h6,h5,.h5,h4,.h4,h3,.h3,h2,.h2,h1,.h1{margin-top:0;margin-bottom:.5rem;font-weight:500;line-height:1.2;color:#2d2d2d}h1,.h1{font-size:calc(1.345rem + 1.14vw)}@media(min-width: 1200px){h1,.h1{font-size:2.2rem}}h2,.h2{font-size:calc(1.3rem + 0.6vw)}@media(min-width: 1200px){h2,.h2{font-size:1.75rem}}h3,.h3{font-size:calc(1.275rem + 0.3vw)}@media(min-width: 1200px){h3,.h3{font-size:1.5rem}}h4,.h4{font-size:1.25rem}h5,.h5{font-size:1.1rem}h6,.h6{font-size:1rem}p{margin-top:0;margin-bottom:1rem}abbr[title],abbr[data-bs-original-title]{text-decoration:underline dotted;-webkit-text-decoration:underline dotted;-moz-text-decoration:underline dotted;-ms-text-decoration:underline dotted;-o-text-decoration:underline dotted;cursor:help;text-decoration-skip-ink:none}address{margin-bottom:1rem;font-style:normal;line-height:inherit}ol,ul{padding-left:2rem}ol,ul,dl{margin-top:0;margin-bottom:1rem}ol ol,ul ul,ol ul,ul ol{margin-bottom:0}dt{font-weight:700}dd{margin-bottom:.5rem;margin-left:0}blockquote{margin:0 0 1rem;padding:.625rem 1.25rem;border-left:.25rem solid #eee}blockquote p:last-child,blockquote ul:last-child,blockquote ol:last-child{margin-bottom:0}b,strong{font-weight:bolder}small,.small{font-size:0.875em}mark,.mark{padding:.2em;background-color:#fcf8e3}sub,sup{position:relative;font-size:0.75em;line-height:0;vertical-align:baseline}sub{bottom:-0.25em}sup{top:-0.5em}a{color:#3399f3;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}a:hover{color:#297ac2}a:not([href]):not([class]),a:not([href]):not([class]):hover{color:inherit;text-decoration:none}pre,code,kbd,samp{font-family:var(--bs-font-monospace);font-size:1em;direction:ltr /* rtl:ignore */;unicode-bidi:bidi-override}pre{display:block;margin-top:0;margin-bottom:1rem;overflow:auto;font-size:0.875em;color:#000;background-color:#fafafa;padding:.5rem;border:1px solid #dee2e6;border-radius:.25rem}pre code{background-color:transparent;font-size:inherit;color:inherit;word-break:normal}code{font-size:0.875em;color:#9753b8;background-color:#fafafa;border-radius:.25rem;padding:.125rem .25rem;word-wrap:break-word}a>code{color:inherit}kbd{padding:.4rem .4rem;font-size:0.875em;color:#fff;background-color:#2d2d2d;border-radius:.2rem}kbd kbd{padding:0;font-size:1em;font-weight:700}figure{margin:0 0 1rem}img,svg{vertical-align:middle}table{caption-side:bottom;border-collapse:collapse}caption{padding-top:.5rem;padding-bottom:.5rem;color:#777;text-align:left}th{text-align:inherit;text-align:-webkit-match-parent}thead,tbody,tfoot,tr,td,th{border-color:inherit;border-style:solid;border-width:0}label{display:inline-block}button{border-radius:0}button:focus:not(:focus-visible){outline:0}input,button,select,optgroup,textarea{margin:0;font-family:inherit;font-size:inherit;line-height:inherit}button,select{text-transform:none}[role=button]{cursor:pointer}select{word-wrap:normal}select:disabled{opacity:1}[list]::-webkit-calendar-picker-indicator{display:none}button,[type=button],[type=reset],[type=submit]{-webkit-appearance:button}button:not(:disabled),[type=button]:not(:disabled),[type=reset]:not(:disabled),[type=submit]:not(:disabled){cursor:pointer}::-moz-focus-inner{padding:0;border-style:none}textarea{resize:vertical}fieldset{min-width:0;padding:0;margin:0;border:0}legend{float:left;width:100%;padding:0;margin-bottom:.5rem;font-size:calc(1.275rem + 0.3vw);line-height:inherit}@media(min-width: 1200px){legend{font-size:1.5rem}}legend+*{clear:left}::-webkit-datetime-edit-fields-wrapper,::-webkit-datetime-edit-text,::-webkit-datetime-edit-minute,::-webkit-datetime-edit-hour-field,::-webkit-datetime-edit-day-field,::-webkit-datetime-edit-month-field,::-webkit-datetime-edit-year-field{padding:0}::-webkit-inner-spin-button{height:auto}[type=search]{outline-offset:-2px;-webkit-appearance:textfield}::-webkit-search-decoration{-webkit-appearance:none}::-webkit-color-swatch-wrapper{padding:0}::file-selector-button{font:inherit}::-webkit-file-upload-button{font:inherit;-webkit-appearance:button}output{display:inline-block}iframe{border:0}summary{display:list-item;cursor:pointer}progress{vertical-align:baseline}[hidden]{display:none !important}.lead{font-size:1.25rem;font-weight:300}.display-1{font-size:calc(1.625rem + 4.5vw);font-weight:300;line-height:1.2}@media(min-width: 1200px){.display-1{font-size:5rem}}.display-2{font-size:calc(1.575rem + 3.9vw);font-weight:300;line-height:1.2}@media(min-width: 1200px){.display-2{font-size:4.5rem}}.display-3{font-size:calc(1.525rem + 3.3vw);font-weight:300;line-height:1.2}@media(min-width: 1200px){.display-3{font-size:4rem}}.display-4{font-size:calc(1.475rem + 2.7vw);font-weight:300;line-height:1.2}@media(min-width: 1200px){.display-4{font-size:3.5rem}}.display-5{font-size:calc(1.425rem + 2.1vw);font-weight:300;line-height:1.2}@media(min-width: 1200px){.display-5{font-size:3rem}}.display-6{font-size:calc(1.375rem + 1.5vw);font-weight:300;line-height:1.2}@media(min-width: 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.sidebar.sidebar-navigation{grid-column:page-start/body-start;grid-row:content-top/page-bottom}body.docked .sidebar.sidebar-navigation{grid-column:screen-start/body-start;grid-row:content-top/page-bottom}.sidebar.toc-left{grid-column:page-start/body-start;grid-row:content-top/page-bottom}.sidebar.margin-sidebar{grid-column:body-end/page-end;grid-row:content-top/page-bottom}.page-columns .content{grid-column:body-content-start/body-content-end;grid-row:content-top/content-bottom;align-content:flex-start}.page-columns .page-navigation{grid-column:body-content-start/body-content-end;grid-row:content-bottom/page-bottom}.page-columns .footer{grid-column:screen-start/screen-end;grid-row:contents-bottom/page-bottom}.page-columns .column-body{grid-column:body-content-start/body-content-end}.page-columns .column-body-fullbleed{grid-column:body-start/body-end}.page-columns .column-body-outset{grid-column:body-start-outset/body-end-outset;z-index:998;transform:translate3d(0, 0, 0)}.page-columns .column-body-outset table{background:#fff}.page-columns .column-body-outset-left{grid-column:body-start-outset/body-content-end;z-index:998;transform:translate3d(0, 0, 0)}.page-columns .column-body-outset-left table{background:#fff}.page-columns .column-body-outset-right{grid-column:body-content-start/body-end-outset;z-index:998;transform:translate3d(0, 0, 0)}.page-columns .column-body-outset-right table{background:#fff}.page-columns .column-page{grid-column:page-start/page-end;z-index:998;transform:translate3d(0, 0, 0)}.page-columns .column-page table{background:#fff}.page-columns .column-page-inset{grid-column:page-start-inset/page-end-inset;z-index:998;transform:translate3d(0, 0, 0)}.page-columns .column-page-inset table{background:#fff}.page-columns .column-page-inset-left{grid-column:page-start-inset/body-content-end;z-index:998;transform:translate3d(0, 0, 0)}.page-columns .column-page-inset-left table{background:#fff}.page-columns 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diff --git a/docs/index_files/libs/quarto-html/quarto-syntax-highlighting.css b/docs/index_files/libs/quarto-html/quarto-syntax-highlighting.css
index 07c0488..446b4e0 100644
--- a/docs/index_files/libs/quarto-html/quarto-syntax-highlighting.css
+++ b/docs/index_files/libs/quarto-html/quarto-syntax-highlighting.css
@@ -38,19 +38,23 @@
 
 pre > code.sourceCode > span {
   color: #657b83;
+  font-style: inherit;
 }
 
 code span {
   color: #657b83;
+  font-style: inherit;
 }
 
 code.sourceCode > span {
   color: #657b83;
+  font-style: inherit;
 }
 
 div.sourceCode,
 div.sourceCode pre.sourceCode {
   color: #657b83;
+  font-style: inherit;
 }
 
 code span.kw {
@@ -157,6 +161,7 @@ code span.cv {
 
 code span.re {
   color: #268bd2;
+  background-color: #eee8d5;
 }
 
 code span.in {
diff --git a/docs/notebooks/custom.scss b/docs/notebooks/custom.scss
new file mode 100644
index 0000000..1b2c0e6
--- /dev/null
+++ b/docs/notebooks/custom.scss
@@ -0,0 +1,11 @@
+@import url(https://cdn.jsdelivr.net/npm/firacode@6.2.0/distr/fira_code.css);
+
+/*-- scss:default --*/
+$font-size-root: 0.8em;
+
+/*-- scss:imports --*/
+
+/*-- scss:rules --*/
+.table {width:auto;}
+
+code {font-family: 'Fira Code Medium', monospace;}
diff --git a/notebooks/column_api.clj b/notebooks/column_api.clj
new file mode 100644
index 0000000..557014a
--- /dev/null
+++ b/notebooks/column_api.clj
@@ -0,0 +1,168 @@
+^:kindly/hide-code?
+(ns column-api
+  (:require [tablecloth.api :as tc]
+            [tablecloth.column.api :as tcc]
+            [scicloj.kindly.v4.kind :as kind :refer [md]]))
+
+;; ## Column API
+
+;; A `column` in tablecloth is a named sequence of typed data. This special type is defined in the `tech.ml.dataset`. It is roughly comparable to a R vector.
+
+;; ### Column Creation
+
+;; Empty column
+
+(tcc/column)
+
+;; Column from a vector or a sequence
+
+(tcc/column [1 2 3 4 5])
+
+(tcc/column `(1 2 3 4 5))
+
+;; #### Ones & Zeros
+
+;; You can also quickly create columns of ones or zeros:
+
+(tcc/ones 10)
+
+(tcc/zeros 10)
+
+;; #### Column?
+
+;; Finally, you can use the `column?` function to check if an item is a column:
+
+(tcc/column? [1 2 3 4 5])
+(tcc/column? (tcc/column))
+
+;; Tablecloth's datasets of course consists of columns:
+
+(tcc/column? (-> (tc/dataset {:a [1 2 3 4 5]})
+                 :a))
+
+;; ### Types and Type detection
+
+;; The default set of types for a column are defined in the underlying "tech ml" system. We can see the set here:
+
+(tech.v3.datatype.casting/all-datatypes)
+
+;; #### Typeof & Typeof?
+
+;; When you create a column, the underlying system will try to autodetect its type. We can see that here using the `tcc/typeof` function to check the type of a column:
+
+(-> (tcc/column [1 2 3 4 5])
+    (tcc/typeof))
+
+(-> (tcc/column [:a :b :c :d :e])
+    (tcc/typeof))
+
+;; Columns containing heterogenous data will receive type `:object`:
+
+(-> (tcc/column [1 :b 3 :c 5])
+    (tcc/typeof))
+
+;; You can also use the `tcc/typeof?` function to check the value of a function as an asssertion:
+
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :boolean))
+
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :int64))
+
+;; Tablecloth has a concept of "concrete" and "general" types. A general type is the broad category of type and the concrete type is the actual type in memory. For example, a concrete type is a 64-bit integer `:int64`, which is also of the general type `:integer`. The `typeof?` function supports checking both.
+
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :int64))
+
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :integer))
+
+;; ### Column Access & Manipulation
+
+;; #### Column Access
+
+;; The method for accessing a particular index position in a column is the same as for Clojure vectors:
+
+(-> (tcc/column [1 2 3 4 5])
+    (get 3))
+
+(-> (tcc/column [1 2 3 4 5])
+    (nth 3))
+
+;; #### Slice
+
+;; You can also slice a column
+
+(-> (tcc/column (range 10))
+    (tcc/slice 5))
+
+(-> (tcc/column (range 10))
+    (tcc/slice 1 4))
+
+(-> (tcc/column (range 10))
+    (tcc/slice 0 9 2))
+
+;; For clarity, the `slice` method supports the `:end` and `:start` keywords:
+
+(-> (tcc/column (range 10))
+    (tcc/slice :start :end 2))
+
+;; If you need to create a discontinuous subset of the column, you can use the `select` function. This method accepts an array of index positions or an array of booleans. When using boolean select, a true value will select the value at the index positions containing true values:
+
+;; #### Select
+
+;; Select the values at index positions 1 and 9:
+
+(-> (tcc/column (range 10))
+    (tcc/select [1 9]))
+
+
+;; Select the values at index positions 0 and 2 using booelan select:
+
+(-> (tcc/column (range 10))
+    (tcc/select (tcc/column [true false true])))
+
+;; #### Sort  
+
+;; Use `sort-column` to sort a column:
+
+;; Default sort is in ascending order:
+
+(-> (tcc/column [:c :z :a :f])
+    (tcc/sort-column))
+
+;; You can provide the `:desc` and `:asc` keywords to change the default behavior:
+
+(-> (tcc/column [:c :z :a :f])
+    (tcc/sort-column :desc))
+
+;; You can also provide a comparator fn:
+
+(-> (tcc/column [{:position 2
+                  :text "and then stopped"}
+                 {:position 1
+                  :text "I ran fast"}])
+    (tcc/sort-column (fn [a b] (< (:position a) (:position b)))))
+
+
+;; ### Column Operations
+
+;; The Column API contains a large number of operations. These operations all take one or more columns as an argument, and they return either a scalar value or a new column, depending on the operations.  These operations all take a column as the first argument so they are easy to use with the pipe `->` macro, as with all functions in Tablecloth.
+
+(def a (tcc/column [20 30 40 50]))
+(def b (tcc/column (range 4)))
+
+(tcc/- a b)
+
+(tcc/pow a 2)
+
+(tcc/* 10 (tcc/sin a))
+
+(tcc/< a 35)
+
+;; All these operations take a column as their first argument and
+;; return a column, so they can be chained easily.
+
+(-> a
+    (tcc/* b)
+    (tcc/< 70))
diff --git a/notebooks/index.clj b/notebooks/index.clj
index 1d0ff02..8555e42 100644
--- a/notebooks/index.clj
+++ b/notebooks/index.clj
@@ -68,13 +68,11 @@ DS
 
 
 (md "
-## Functionality
-
-### Dataset
+## Dataset API
 
 Dataset is a special type which can be considered as a map of columns implemented around `tech.ml.dataset` library. Each column can be considered as named sequence of typed data. Supported types include integers, floats, string, boolean, date/time, objects etc.
 
-#### Dataset creation
+### Dataset creation
 
 Dataset can be created from various of types of Clojure structures and files:
 
@@ -295,7 +293,7 @@ Set column name for single value. Also set the dataset name and turn off creatin
 
 (md "
 
-#### Saving
+### Saving
 
 Export dataset to a file or output stream can be done by calling `tc/write!`. Function accepts:
 
@@ -311,7 +309,7 @@ Export dataset to a file or output stream can be done by calling `tc/write!`. Fu
 
 
 (md "
-##### Nippy
+#### Nippy
 ")
 
 
@@ -325,7 +323,7 @@ Export dataset to a file or output stream can be done by calling `tc/write!`. Fu
 
 
 (md "
-#### Dataset related functions
+### Dataset related functions
 
 Summary functions about the dataset like number of rows, columns and basic stats.
 
@@ -397,7 +395,7 @@ Setting a dataset name (operation is immutable).
 
 
 (md "
-#### Columns and rows
+### Columns and rows
 
 Get columns and rows as sequences. `column`, `columns` and `rows` treat grouped dataset as regular one. See `Groups` to read more about grouped datasets.
 
@@ -508,7 +506,7 @@ Rows with elided missing values
 
 
 (md "
-#### Single entry
+### Single entry
 
 Get single value from the table using `get-in` from Clojure API or `get-entry`. First argument is column name, second is row number.
 ")
@@ -524,7 +522,7 @@ Get single value from the table using `get-in` from Clojure API or `get-entry`.
 
 
 (md "
-#### Printing
+### Printing
 
 Dataset is printed using `dataset->str` or `print-dataset` functions. Options are the same as in `tech.ml.dataset/dataset-data->str`. Most important is `:print-line-policy` which can be one of the: `:single`, `:repl` or `:markdown`.
 ")
@@ -1611,6 +1609,54 @@ You can also cast the type to the other one (if casting is possible):
 (tc/->array DS :V4 :string)
 (tc/->array DS :V1 :float32)
 
+(md "
+### Column Operations
+
+There are a large number of column operations that can be performed on the columns in your dataset. These operations are a similar set as the [Column API operations](#operations), but instead of operating directly on columns, they take a Dataset and a [`columns-selector`](#names).
+
+The behavior of the operations differ based on their return value:
+
+* If an operation would return a scalar value, then the function behaves like an aggregator and can be used in group-by expresesions. Such functions will have the general signature:
+
+    ```
+    (dataset columns-selector) => dataset
+    ```
+
+* If an operation would return another column, then the function will not behave like an aggregator. Instead, it asks you to specify a target column, which it will add to the dataset that it returns. The signature of these functions is:
+
+
+    ```
+    (ds target-col columns-selector) => dataset
+    ```
+
+As there are a large number of operations, we will illustrate their usage. To begin with, here are some examples of operations whose result is a new column:
+")
+
+DS
+
+(-> DS
+    (tc/+ :SUM [:V1 :V2]))
+
+(-> DS
+    (tc/* :MULTIPY [:V1 :V2]))
+
+
+;; Now let's look at operations that would return a scalar:
+
+(-> DS
+    (tc/mean [:V1]))
+
+(md "
+Notice that we did not supply a target column to the `mean` function. Since `mean` does not return a column, we do not provide this argument. Instead, we simply provide the dataset and a `columns-selector.` We then get back a dataset with the result.
+
+Now let's use this function within a grouping expression:")
+
+(-> DS
+    (tc/group-by [:V4])
+    (tc/mean [:V2]))
+
+;; In this example, we grouped `DS` and then passed the resulting grouped Dataset directly to the `mean` operation. Since `mean` returns a scalar, it operates as an aggregator, summarizing the results of each group.
+
 
 (md "
 ### Rows
@@ -4538,6 +4584,195 @@ To get a sequence of pairs, use `split->seq` function
     (tc/split->seq :bootstrap {:partition-selector :partition :seed 11 :ratio 0.8 :repeats 2})
     (first))
 
+(md "
+## Column API
+
+A `column` in tablecloth is a named sequence of typed data. It is the building block of the `dataset` since datasets are at base just a map of columns. Like `dataset`, the `column` is defined in the `tech.ml.dataset`. In this section, we will show how you can interact with the column by itself.
+
+Let's begin by requiring the Column API, which we suggest you alias as `tcc`:")
+
+(require '[tablecloth.column.api :as tcc])
+
+;; ### Creation & Identity
+
+;; Creating an empty column is pretty straightforward:
+
+(tcc/column)
+
+;; You can also create a Column from a vector or a sequence
+
+(tcc/column [1 2 3 4 5])
+
+(tcc/column `(1 2 3 4 5))
+
+;; You can also quickly create columns of ones or zeros:
+
+(tcc/ones 10)
+
+(tcc/zeros 10)
+
+;; Finally, to identify a column, you can use the `column?` function to check if an item is a column:
+
+(tcc/column? [1 2 3 4 5])
+(tcc/column? (tcc/column))
+
+;; Tablecloth's datasets of course consists of columns:
+
+(tcc/column? (-> (tc/dataset {:a [1 2 3 4 5]})
+                 :a))
+
+;; ### Datatypes
+
+;; The default set of types for a column are defined in the underlying "tech ml" system. We can see the set here:
+
+(tech.v3.datatype.casting/all-datatypes)
+
+;; When you create a column, the underlying system will try to autodetect its type. We can illustrate that behavior using the `tcc/typeof` function to check the type of a column:
+
+(-> (tcc/column [1 2 3 4 5])
+    (tcc/typeof))
+
+(-> (tcc/column [:a :b :c :d :e])
+    (tcc/typeof))
+
+;; Columns containing heterogenous data will receive type `:object`:
+
+(-> (tcc/column [1 :b 3 :c 5])
+    (tcc/typeof))
+
+;; You can also use the `tcc/typeof?` function to check the value of a function as an asssertion:
+
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :boolean))
+
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :int64))
+
+;; Tablecloth has a concept of "concrete" and "general" types. A general type is the broad category of type and the concrete type is the actual type in memory. For example, a concrete type is a 64-bit integer `:int64`, which is also of the general type `:integer`.
+
+;; The `typeof?` function supports checking both.
+
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :int64))
+
+(-> (tcc/column [1 2 3 4 6])
+    (tcc/typeof? :integer))
+
+;; ### Access & Manipulation
+
+;; #### Column Access
+
+;; The method for accessing a particular index position in a column is the same as for Clojure vectors:
+
+(-> (tcc/column [1 2 3 4 5])
+    (get 3))
+
+(-> (tcc/column [1 2 3 4 5])
+    (nth 3))
+
+;; #### Slice
+
+;; You can also slice a column
+
+(-> (tcc/column (range 10))
+    (tcc/slice 5))
+
+(-> (tcc/column (range 10))
+    (tcc/slice 1 4))
+
+(-> (tcc/column (range 10))
+    (tcc/slice 0 9 2))
+
+;; The `slice` method supports the `:end` and `:start` keywords, which can add clarity to your code:
+
+(-> (tcc/column (range 10))
+    (tcc/slice :start :end 2))
+
+;; #### Select
+
+;; If you need to create a discontinuous subset of the column, you can use the `select` function. This method accepts an array of index positions or an array of booleans. When using boolean select, a true value will select the value at the index positions containing true values:
+
+;; Select the values at index positions 1 and 9:
+
+(-> (tcc/column (range 10))
+    (tcc/select [1 9]))
+
+;; Select the values at index positions 0 and 2 using booelan select:
+
+(-> (tcc/column (range 10))
+    (tcc/select (tcc/column [true false true])))
+
+;; The boolean select feature is particularly useful when used with the large number of operations (see [below](#operations)) that the Column API includes:
+
+(let [col (tcc/column (range 10))]
+  (-> col
+      (tcc/odd?)
+      (->> (tcc/select col))))
+
+;; Here, we used the `odd?` operator to create a boolean array indicating all index positions in the Column that included an odd value. Then we pass that boolean Column to the `select` function using the `->>` to send it to the second argument position.
+
+;; #### Sort  
+
+;; Use `sort-column` to sort a column:
+
+;; Default sort is in ascending order:
+
+(-> (tcc/column [:c :z :a :f])
+    (tcc/sort-column))
+
+;; You can provide the `:desc` and `:asc` keywords to change the default behavior:
+
+(-> (tcc/column [:c :z :a :f])
+    (tcc/sort-column :desc))
+
+;; You can also provide a comparator fn:
+
+(-> (tcc/column [{:position 2
+                  :text "and then stopped"}
+                 {:position 1
+                  :text "I ran fast"}])
+    (tcc/sort-column (fn [a b] (< (:position a) (:position b)))))
+
+
+;; ### Operations
+
+(md "
+The Column API contains a large number of operations, which have been lifted from the underlying `tech.ml.dataset` library and adapted to Tablecloth. These operations all take one or more columns as an argument, and they return either a scalar value or a new column, depending on the operation. In other words, their signature is this general form:
+
+```
+(column1 column2 ...) => column | scalar
+```
+
+Because these functions all take a column as the first argument, they are easy to use with the pipe `->` macro, as with all functions in Tablecloth.
+
+Given the incredibly large number of available functions, we will illustrate instead how these operations can be used.
+
+We'll start with two columns `a` and `b`:
+")
+
+(def a (tcc/column [20 30 40 50]))
+(def b (tcc/column (range 4)))
+
+;; Here is a small sampling of operator functions:
+
+(tcc/- a b)
+
+(tcc/* a b)
+
+(tcc// a 2)
+
+(tcc/pow a 2)
+
+(tcc/* 10 (tcc/sin a))
+
+(tcc/< a 35)
+
+;; All these operations take a column as their first argument and
+;; return a column, so they can be chained easily.
+
+(-> a
+    (tcc/* b)
+    (tcc/< 70))
 
 (md "
 ## Pipeline
@@ -4553,15 +4788,6 @@ Pipeline operations are prepared to work with [metamorph](https://github.com/sci
 
 > **Warning: Duplicated `metamorph` pipeline functions are removed from `tablecloth.pipeline` namespace.**
 
-## Functions
-
-This API doesn't provide any statistical, numerical or date/time functions. Use below namespaces:
-
-| Namespace | functions |
-|-----------|-----------|
-| `tech.v3.datatype.functional` | primitive oprations, reducers, statistics |
-| `tech.v3.datatype.datetime` | date/time converters and operations|
-
 ## Other examples
 
 ### Stocks
diff --git a/src/tablecloth/api.clj b/src/tablecloth/api.clj
index a4fedfb..49d3120 100644
--- a/src/tablecloth/api.clj
+++ b/src/tablecloth/api.clj
@@ -10,6 +10,7 @@
             [tablecloth.api.join-concat-ds]
             [tablecloth.api.join-separate]
             [tablecloth.api.missing]
+            [tablecloth.api.operators]
             [tablecloth.api.order-by]
             [tablecloth.api.reshape]
             [tablecloth.api.rows]
@@ -21,6 +22,48 @@
             [tech.v3.datatype])
   (:refer-clojure :exclude [group-by drop concat rand-nth first last shuffle]))
 
+(defn *
+  "Applies the operation tablecloth.column.api.operators/* to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/* ds target-col columns-selector)))
+
+
+(defn +
+  "Applies the operation tablecloth.column.api.operators/+ to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/+ ds target-col columns-selector)))
+
+
+(defn -
+  "Applies the operation tablecloth.column.api.operators/- to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/- ds target-col columns-selector)))
+
+
 (defn ->array
   "Convert numerical column(s) to java array"
   ([ds colname]
@@ -29,6 +72,114 @@
   (tablecloth.api.columns/->array ds colname datatype)))
 
 
+(defn /
+  "Applies the operation tablecloth.column.api.operators// to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators// ds target-col columns-selector)))
+
+
+(defn <
+  "Applies the operation tablecloth.column.api.operators/< to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 3 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/< ds target-col columns-selector)))
+
+
+(defn <=
+  "Applies the operation tablecloth.column.api.operators/<= to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 3 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/<= ds target-col columns-selector)))
+
+
+(defn >
+  "Applies the operation tablecloth.column.api.operators/> to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 3 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/> ds target-col columns-selector)))
+
+
+(defn >=
+  "Applies the operation tablecloth.column.api.operators/>= to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 3 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/>= ds target-col columns-selector)))
+
+
+(defn abs
+  "Applies the operation tablecloth.column.api.operators/abs to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/abs ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/abs ds target-col columns-selector)))
+
+
+(defn acos
+  "Applies the operation tablecloth.column.api.operators/acos to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/acos ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/acos ds target-col columns-selector)))
+
+
 (defn add-column
   "Add or update (modify) column under `column-name`.
 
@@ -96,6 +247,21 @@
   (tablecloth.api.aggregate/aggregate-columns ds columns-selector column-aggregators options)))
 
 
+(defn and
+  "Applies the operation tablecloth.column.api.operators/and to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 2 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/and ds target-col columns-selector)))
+
+
 (defn anti-join
   ([ds-left ds-right columns-selector]
   (tablecloth.api.join-concat-ds/anti-join ds-left ds-right columns-selector))
@@ -131,6 +297,23 @@
   (tablecloth.api.utils/as-regular-dataset ds)))
 
 
+(defn asin
+  "Applies the operation tablecloth.column.api.operators/asin to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/asin ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/asin ds target-col columns-selector)))
+
+
 (defn asof-join
   ([ds-left ds-right columns-selector]
   (tablecloth.api.join-concat-ds/asof-join ds-left ds-right columns-selector))
@@ -138,11 +321,185 @@
   (tablecloth.api.join-concat-ds/asof-join ds-left ds-right columns-selector options)))
 
 
+(defn atan
+  "Applies the operation tablecloth.column.api.operators/atan to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/atan ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/atan ds target-col columns-selector)))
+
+
+(defn atan2
+  "Applies the operation tablecloth.column.api.operators/atan2 to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/atan2 ds target-col columns-selector)))
+
+
 (defn bind
   ([ds & args]
   (apply tablecloth.api.join-concat-ds/bind ds args)))
 
 
+(defn bit-and
+  "Applies the operation tablecloth.column.api.operators/bit-and to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/bit-and ds target-col columns-selector)))
+
+
+(defn bit-and-not
+  "Applies the operation tablecloth.column.api.operators/bit-and-not to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/bit-and-not ds target-col columns-selector)))
+
+
+(defn bit-clear
+  "Applies the operation tablecloth.column.api.operators/bit-clear to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/bit-clear ds target-col columns-selector)))
+
+
+(defn bit-flip
+  "Applies the operation tablecloth.column.api.operators/bit-flip to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/bit-flip ds target-col columns-selector)))
+
+
+(defn bit-not
+  "Applies the operation tablecloth.column.api.operators/bit-not to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/bit-not ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/bit-not ds target-col columns-selector)))
+
+
+(defn bit-or
+  "Applies the operation tablecloth.column.api.operators/bit-or to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/bit-or ds target-col columns-selector)))
+
+
+(defn bit-set
+  "Applies the operation tablecloth.column.api.operators/bit-set to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/bit-set ds target-col columns-selector)))
+
+
+(defn bit-shift-left
+  "Applies the operation tablecloth.column.api.operators/bit-shift-left to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/bit-shift-left ds target-col columns-selector)))
+
+
+(defn bit-shift-right
+  "Applies the operation tablecloth.column.api.operators/bit-shift-right to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/bit-shift-right ds target-col columns-selector)))
+
+
+(defn bit-xor
+  "Applies the operation tablecloth.column.api.operators/bit-xor to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/bit-xor ds target-col columns-selector)))
+
+
 (defn by-rank
   "Select rows using `rank` on a column, ties are resolved using `:dense` method.
 
@@ -159,6 +516,40 @@
   (tablecloth.api.rows/by-rank ds columns-selector rank-predicate options)))
 
 
+(defn cbrt
+  "Applies the operation tablecloth.column.api.operators/cbrt to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/cbrt ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/cbrt ds target-col columns-selector)))
+
+
+(defn ceil
+  "Applies the operation tablecloth.column.api.operators/ceil to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/ceil ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/ceil ds target-col columns-selector)))
+
+
 (defn clone
   "Clone an object.  Can clone anything convertible to a reader."
   ([item]
@@ -266,6 +657,40 @@ column-names function returns names according to columns-selector
   (tablecloth.api.columns/convert-types ds columns-selector new-types)))
 
 
+(defn cos
+  "Applies the operation tablecloth.column.api.operators/cos to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/cos ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/cos ds target-col columns-selector)))
+
+
+(defn cosh
+  "Applies the operation tablecloth.column.api.operators/cosh to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/cosh ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/cosh ds target-col columns-selector)))
+
+
 (defn cross-join
   "Cross product from selected columns"
   ([ds-left ds-right]
@@ -294,6 +719,74 @@ column-names function returns names according to columns-selector
   (tablecloth.api.aggregate/crosstab ds row-selector col-selector options)))
 
 
+(defn cummax
+  "Applies the operation tablecloth.column.api.operators/cummax to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/cummax ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/cummax ds target-col columns-selector)))
+
+
+(defn cummin
+  "Applies the operation tablecloth.column.api.operators/cummin to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/cummin ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/cummin ds target-col columns-selector)))
+
+
+(defn cumprod
+  "Applies the operation tablecloth.column.api.operators/cumprod to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/cumprod ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/cumprod ds target-col columns-selector)))
+
+
+(defn cumsum
+  "Applies the operation tablecloth.column.api.operators/cumsum to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/cumsum ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/cumsum ds target-col columns-selector)))
+
+
 (defn dataset
   "Create a `dataset`.
   
@@ -448,6 +941,51 @@ column-names function returns names according to columns-selector
   (tablecloth.api.join-concat-ds/difference ds-left ds-right options)))
 
 
+(defn distance
+  "Applies the operation tablecloth.column.api.operators/distance to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 2 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector]
+  (tablecloth.api.operators/distance ds columns-selector)))
+
+
+(defn distance-squared
+  "Applies the operation tablecloth.column.api.operators/distance-squared to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 2 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector]
+  (tablecloth.api.operators/distance-squared ds columns-selector)))
+
+
+(defn dot-product
+  "Applies the operation tablecloth.column.api.operators/dot-product to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 2 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector]
+  (tablecloth.api.operators/dot-product ds columns-selector)))
+
+
 (defn drop
   "Drop columns and rows."
   ([ds columns-selector rows-selector]
@@ -499,6 +1037,55 @@ column-names function returns names according to columns-selector
   (tablecloth.api.dataset/empty-ds? ds)))
 
 
+(defn eq
+  "Applies the operation tablecloth.column.api.operators/eq to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 2 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/eq ds target-col columns-selector)))
+
+
+(defn even?
+  "Applies the operation tablecloth.column.api.operators/even? to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/even? ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/even? ds target-col columns-selector)))
+
+
+(defn exp
+  "Applies the operation tablecloth.column.api.operators/exp to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/exp ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/exp ds target-col columns-selector)))
+
+
 (defn expand
   "TidyR expand.
 
@@ -507,6 +1094,23 @@ column-names function returns names according to columns-selector
   (apply tablecloth.api.join-concat-ds/expand ds columns-selector args)))
 
 
+(defn expm1
+  "Applies the operation tablecloth.column.api.operators/expm1 to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/expm1 ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/expm1 ds target-col columns-selector)))
+
+
 (defn fill-range-replace
   "Fill missing up with lacking values. Accepts
   * dataset
@@ -523,12 +1127,46 @@ column-names function returns names according to columns-selector
   (tablecloth.api.missing/fill-range-replace ds colname max-span missing-strategy missing-value)))
 
 
+(defn finite?
+  "Applies the operation tablecloth.column.api.operators/finite? to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/finite? ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/finite? ds target-col columns-selector)))
+
+
 (defn first
   "First row"
   ([ds]
   (tablecloth.api.rows/first ds)))
 
 
+(defn floor
+  "Applies the operation tablecloth.column.api.operators/floor to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/floor ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/floor ds target-col columns-selector)))
+
+
 (defn fold-by
   "Group-by and pack columns into vector - the output data set has a row for each unique combination
   of the provided columns while each remaining column has its valu(es) collected into a vector, similar
@@ -554,6 +1192,23 @@ column-names function returns names according to columns-selector
   (tablecloth.api.dataset/get-entry ds column row)))
 
 
+(defn get-significand
+  "Applies the operation tablecloth.column.api.operators/get-significand to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/get-significand ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/get-significand ds target-col columns-selector)))
+
+
 (defn group-by
   "Group dataset by:
 
@@ -610,6 +1265,68 @@ column-names function returns names according to columns-selector
   (tablecloth.api.rows/head ds n)))
 
 
+(defn hypot
+  "Applies the operation tablecloth.column.api.operators/hypot to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/hypot ds target-col columns-selector)))
+
+
+(defn identity
+  "Applies the operation tablecloth.column.api.operators/identity to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/identity ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/identity ds target-col columns-selector)))
+
+
+(defn ieee-remainder
+  "Applies the operation tablecloth.column.api.operators/ieee-remainder to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/ieee-remainder ds target-col columns-selector)))
+
+
+(defn infinite?
+  "Applies the operation tablecloth.column.api.operators/infinite? to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/infinite? ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/infinite? ds target-col columns-selector)))
+
+
 (defn info
   "Returns a statistcial information about the columns of a dataset.
   `result-type ` can be :descriptive or :columns"
@@ -652,6 +1369,23 @@ column-names function returns names according to columns-selector
   (tablecloth.api.join-separate/join-columns ds target-column columns-selector conf)))
 
 
+(defn kurtosis
+  "Applies the operation tablecloth.column.api.operators/kurtosis to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector options]
+  (tablecloth.api.operators/kurtosis ds columns-selector options))
+  ([ds columns-selector]
+  (tablecloth.api.operators/kurtosis ds columns-selector)))
+
+
 (defn last
   "Last row"
   ([ds]
@@ -672,6 +1406,104 @@ column-names function returns names according to columns-selector
   `(tablecloth.api.api-template/let-dataset ~bindings ~options)))
 
 
+(defn log
+  "Applies the operation tablecloth.column.api.operators/log to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/log ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/log ds target-col columns-selector)))
+
+
+(defn log10
+  "Applies the operation tablecloth.column.api.operators/log10 to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/log10 ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/log10 ds target-col columns-selector)))
+
+
+(defn log1p
+  "Applies the operation tablecloth.column.api.operators/log1p to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/log1p ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/log1p ds target-col columns-selector)))
+
+
+(defn logistic
+  "Applies the operation tablecloth.column.api.operators/logistic to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/logistic ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/logistic ds target-col columns-selector)))
+
+
+(defn magnitude
+  "Applies the operation tablecloth.column.api.operators/magnitude to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector]
+  (tablecloth.api.operators/magnitude ds columns-selector)))
+
+
+(defn magnitude-squared
+  "Applies the operation tablecloth.column.api.operators/magnitude-squared to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector]
+  (tablecloth.api.operators/magnitude-squared ds columns-selector)))
+
+
 (defn map-columns
   "Map over rows using a map function. The arity should match the columns selected."
   ([ds column-name map-fn]
@@ -696,6 +1528,247 @@ column-names function returns names according to columns-selector
   (tablecloth.api.utils/mark-as-group ds)))
 
 
+(defn mathematical-integer?
+  "Applies the operation tablecloth.column.api.operators/mathematical-integer? to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/mathematical-integer? ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/mathematical-integer? ds target-col columns-selector)))
+
+
+(defn max
+  "Applies the operation tablecloth.column.api.operators/max to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/max ds target-col columns-selector)))
+
+
+(defn mean
+  "Applies the operation tablecloth.column.api.operators/mean to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector options]
+  (tablecloth.api.operators/mean ds columns-selector options))
+  ([ds columns-selector]
+  (tablecloth.api.operators/mean ds columns-selector)))
+
+
+(defn mean-fast
+  "Applies the operation tablecloth.column.api.operators/mean-fast to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector]
+  (tablecloth.api.operators/mean-fast ds columns-selector)))
+
+
+(defn median
+  "Applies the operation tablecloth.column.api.operators/median to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector options]
+  (tablecloth.api.operators/median ds columns-selector options))
+  ([ds columns-selector]
+  (tablecloth.api.operators/median ds columns-selector)))
+
+
+(defn min
+  "Applies the operation tablecloth.column.api.operators/min to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/min ds target-col columns-selector)))
+
+
+(defn nan?
+  "Applies the operation tablecloth.column.api.operators/nan? to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/nan? ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/nan? ds target-col columns-selector)))
+
+
+(defn neg?
+  "Applies the operation tablecloth.column.api.operators/neg? to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/neg? ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/neg? ds target-col columns-selector)))
+
+
+(defn next-down
+  "Applies the operation tablecloth.column.api.operators/next-down to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/next-down ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/next-down ds target-col columns-selector)))
+
+
+(defn next-up
+  "Applies the operation tablecloth.column.api.operators/next-up to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/next-up ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/next-up ds target-col columns-selector)))
+
+
+(defn normalize
+  "Applies the operation tablecloth.column.api.operators/normalize to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/normalize ds target-col columns-selector)))
+
+
+(defn not
+  "Applies the operation tablecloth.column.api.operators/not to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/not ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/not ds target-col columns-selector)))
+
+
+(defn not-eq
+  "Applies the operation tablecloth.column.api.operators/not-eq to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 2 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/not-eq ds target-col columns-selector)))
+
+
+(defn odd?
+  "Applies the operation tablecloth.column.api.operators/odd? to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/odd? ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/odd? ds target-col columns-selector)))
+
+
+(defn or
+  "Applies the operation tablecloth.column.api.operators/or to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 2 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/or ds target-col columns-selector)))
+
+
 (defn order-by
   "Order dataset by:
   - column name
@@ -714,6 +1787,23 @@ column-names function returns names according to columns-selector
   (tablecloth.api.order-by/order-by ds columns-or-fn comparators options)))
 
 
+(defn percentiles
+  "Applies the operation tablecloth.column.api.operators/percentiles to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector percentages options]
+  (tablecloth.api.operators/percentiles ds target-col columns-selector percentages options))
+  ([ds target-col columns-selector percentages]
+  (tablecloth.api.operators/percentiles ds target-col columns-selector percentages)))
+
+
 (defn pivot->longer
   "`tidyr` pivot_longer api"
   ([ds]
@@ -748,6 +1838,37 @@ column-names function returns names according to columns-selector
   (tablecloth.api.reshape/pivot->wider ds columns-selector value-columns options)))
 
 
+(defn pos?
+  "Applies the operation tablecloth.column.api.operators/pos? to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/pos? ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/pos? ds target-col columns-selector)))
+
+
+(defn pow
+  "Applies the operation tablecloth.column.api.operators/pow to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/pow ds target-col columns-selector)))
+
+
 (defn print-dataset
   "Prints dataset into console. For options see
   tech.v3.dataset.print/dataset-data->str"
@@ -765,6 +1886,54 @@ column-names function returns names according to columns-selector
   (tablecloth.api.utils/process-group-data ds f parallel?)))
 
 
+(defn quartile-1
+  "Applies the operation tablecloth.column.api.operators/quartile-1 to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector options]
+  (tablecloth.api.operators/quartile-1 ds columns-selector options))
+  ([ds columns-selector]
+  (tablecloth.api.operators/quartile-1 ds columns-selector)))
+
+
+(defn quartile-3
+  "Applies the operation tablecloth.column.api.operators/quartile-3 to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector options]
+  (tablecloth.api.operators/quartile-3 ds columns-selector options))
+  ([ds columns-selector]
+  (tablecloth.api.operators/quartile-3 ds columns-selector)))
+
+
+(defn quot
+  "Applies the operation tablecloth.column.api.operators/quot to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/quot ds target-col columns-selector)))
+
+
 (defn rand-nth
   "Returns single random row"
   ([ds]
@@ -788,6 +1957,80 @@ column-names function returns names according to columns-selector
   (tablecloth.api.utils/read-nippy filename)))
 
 
+(defn reduce-*
+  "Applies the operation tablecloth.column.api.operators/reduce-* to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector]
+  (tablecloth.api.operators/reduce-* ds columns-selector)))
+
+
+(defn reduce-+
+  "Applies the operation tablecloth.column.api.operators/reduce-+ to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector]
+  (tablecloth.api.operators/reduce-+ ds columns-selector)))
+
+
+(defn reduce-max
+  "Applies the operation tablecloth.column.api.operators/reduce-max to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector]
+  (tablecloth.api.operators/reduce-max ds columns-selector)))
+
+
+(defn reduce-min
+  "Applies the operation tablecloth.column.api.operators/reduce-min to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector]
+  (tablecloth.api.operators/reduce-min ds columns-selector)))
+
+
+(defn rem
+  "Applies the operation tablecloth.column.api.operators/rem to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/rem ds target-col columns-selector)))
+
+
 (defn rename-columns
   "Rename columns with provided old -> new name map"
   ([ds columns-selector columns-map-fn]
@@ -841,6 +2084,40 @@ column-names function returns names according to columns-selector
   (tablecloth.api.join-concat-ds/right-join ds-left ds-right columns-selector options)))
 
 
+(defn rint
+  "Applies the operation tablecloth.column.api.operators/rint to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/rint ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/rint ds target-col columns-selector)))
+
+
+(defn round
+  "Applies the operation tablecloth.column.api.operators/round to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/round ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/round ds target-col columns-selector)))
+
+
 (defn row-count
   (^{:tag long} [dataset-or-col]
   (tech.v3.dataset/row-count dataset-or-col)))
@@ -938,6 +2215,21 @@ column-names function returns names according to columns-selector
   (tablecloth.api.dataset/shape ds)))
 
 
+(defn shift
+  "Applies the operation tablecloth.column.api.operators/shift to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector n]
+  (tablecloth.api.operators/shift ds target-col columns-selector n)))
+
+
 (defn shuffle
   "Shuffle dataset (with seed)"
   ([ds]
@@ -946,6 +2238,74 @@ column-names function returns names according to columns-selector
   (tablecloth.api.rows/shuffle ds options)))
 
 
+(defn signum
+  "Applies the operation tablecloth.column.api.operators/signum to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/signum ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/signum ds target-col columns-selector)))
+
+
+(defn sin
+  "Applies the operation tablecloth.column.api.operators/sin to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/sin ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/sin ds target-col columns-selector)))
+
+
+(defn sinh
+  "Applies the operation tablecloth.column.api.operators/sinh to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/sinh ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/sinh ds target-col columns-selector)))
+
+
+(defn skew
+  "Applies the operation tablecloth.column.api.operators/skew to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector options]
+  (tablecloth.api.operators/skew ds columns-selector options))
+  ([ds columns-selector]
+  (tablecloth.api.operators/skew ds columns-selector)))
+
+
 (defn split
   "Split given dataset into 2 or more (holdout) splits
 
@@ -996,6 +2356,72 @@ column-names function returns names according to columns-selector
   (tablecloth.api.split/split->seq ds split-type options)))
 
 
+(defn sq
+  "Applies the operation tablecloth.column.api.operators/sq to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/sq ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/sq ds target-col columns-selector)))
+
+
+(defn sqrt
+  "Applies the operation tablecloth.column.api.operators/sqrt to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/sqrt ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/sqrt ds target-col columns-selector)))
+
+
+(defn sum
+  "Applies the operation tablecloth.column.api.operators/sum to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector options]
+  (tablecloth.api.operators/sum ds columns-selector options))
+  ([ds columns-selector]
+  (tablecloth.api.operators/sum ds columns-selector)))
+
+
+(defn sum-fast
+  "Applies the operation tablecloth.column.api.operators/sum-fast to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector]
+  (tablecloth.api.operators/sum-fast ds columns-selector)))
+
+
 (defn tail
   "Last n rows (default 5)"
   ([ds]
@@ -1004,6 +2430,91 @@ column-names function returns names according to columns-selector
   (tablecloth.api.rows/tail ds n)))
 
 
+(defn tan
+  "Applies the operation tablecloth.column.api.operators/tan to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/tan ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/tan ds target-col columns-selector)))
+
+
+(defn tanh
+  "Applies the operation tablecloth.column.api.operators/tanh to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/tanh ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/tanh ds target-col columns-selector)))
+
+
+(defn to-degrees
+  "Applies the operation tablecloth.column.api.operators/to-degrees to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/to-degrees ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/to-degrees ds target-col columns-selector)))
+
+
+(defn to-radians
+  "Applies the operation tablecloth.column.api.operators/to-radians to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/to-radians ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/to-radians ds target-col columns-selector)))
+
+
+(defn ulp
+  "Applies the operation tablecloth.column.api.operators/ulp to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/ulp ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/ulp ds target-col columns-selector)))
+
+
 (defn ungroup
   "Concat groups into dataset.
 
@@ -1056,6 +2567,20 @@ column-names function returns names according to columns-selector
   (tablecloth.api.fold-unroll/unroll ds columns-selector options)))
 
 
+(defn unsigned-bit-shift-right
+  "Applies the operation tablecloth.column.api.operators/unsigned-bit-shift-right to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. null
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/unsigned-bit-shift-right ds target-col columns-selector)))
+
+
 (defn update-columns
   ([ds columns-map]
   (tablecloth.api.columns/update-columns ds columns-map))
@@ -1063,6 +2588,23 @@ column-names function returns names according to columns-selector
   (tablecloth.api.columns/update-columns ds columns-selector update-functions)))
 
 
+(defn variance
+  "Applies the operation tablecloth.column.api.operators/variance to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds columns-selector options]
+  (tablecloth.api.operators/variance ds columns-selector options))
+  ([ds columns-selector]
+  (tablecloth.api.operators/variance ds columns-selector)))
+
+
 (defmacro without-grouping->
   ([ds & args]
   `(tablecloth.api.api-template/without-grouping-> ~ds ~@args)))
@@ -1101,3 +2643,20 @@ Options:
   (tablecloth.api.utils/write-nippy! ds filename)))
 
 
+(defn zero?
+  "Applies the operation tablecloth.column.api.operators/zero? to the columns selected by
+      `columns-selector` and returns a new ds with the the result in
+      `target-col`. This operation takes a maximum of 1 columns, so
+         `columns-selector` can yield no more than that many columns.
+      
+      `columns-selector can be:
+      - name
+      - sequence of names
+      - map of names with new names (rename)
+      - function which filter names (via column metadata)"
+  ([ds target-col columns-selector options]
+  (tablecloth.api.operators/zero? ds target-col columns-selector options))
+  ([ds target-col columns-selector]
+  (tablecloth.api.operators/zero? ds target-col columns-selector)))
+
+
diff --git a/src/tablecloth/api/api_template.clj b/src/tablecloth/api/api_template.clj
index c212db5..f2e3b71 100644
--- a/src/tablecloth/api/api_template.clj
+++ b/src/tablecloth/api/api_template.clj
@@ -127,6 +127,10 @@
 (exporter/export-symbols tablecloth.api.split
                          split
                          split->seq)
+
+ (exporter/export-symbols tablecloth.api.operators
+   * + - / < <= > >= abs acos and asin atan atan2 bit-and bit-and-not bit-clear bit-flip bit-not bit-or bit-set bit-shift-left bit-shift-right bit-xor cbrt ceil cos cosh cummax cummin cumprod cumsum distance distance-squared dot-product eq even? exp expm1 finite? floor get-significand hypot identity ieee-remainder infinite? kurtosis log log10 log1p logistic magnitude magnitude-squared mathematical-integer? max mean mean-fast median min nan? neg? next-down next-up normalize not not-eq odd? or percentiles pos? pow quartile-1 quartile-3 quot reduce-* reduce-+ reduce-max reduce-min rem rint round shift signum sin sinh skew sq sqrt sum sum-fast tan tanh to-degrees to-radians ulp unsigned-bit-shift-right variance zero?)
+
 ;;
 
 (defn- select-or-drop
diff --git a/src/tablecloth/api/lift_operators.clj b/src/tablecloth/api/lift_operators.clj
index b2b758a..80833e5 100644
--- a/src/tablecloth/api/lift_operators.clj
+++ b/src/tablecloth/api/lift_operators.clj
@@ -1,5 +1,8 @@
 (ns tablecloth.api.lift-operators
-  (:require [tablecloth.api :refer [select-columns add-or-replace-column]]
+  (:require [tablecloth.api.dataset :refer [columns]]
+            [tablecloth.api.columns :refer [select-columns add-or-replace-column]]
+            [tablecloth.api.utils :refer [column-names]]
+            [tablecloth.api.aggregate :refer [aggregate]]
             [tablecloth.utils.codegen :refer [do-lift]]))
 
 (defn get-meta [fn-sym]
@@ -22,7 +25,6 @@
         col-symbol-set
         (set longest-arglist))))))
 
-
 (defn convert-arglists [arglists target-column?]
   (let [convert-arglist
         (fn [arglist]
@@ -83,16 +85,16 @@
                               (select-columns ds# ~'columns-selector)
                               cols-count#
                               (-> ds-with-selected-cols#
-                                  tablecloth.api/column-names
+                                  column-names
                                   count)
-                              selected-cols# (tablecloth.api/columns ds-with-selected-cols#)]
+                              selected-cols# (columns ds-with-selected-cols#)]
                         (if (>= ~max-cols cols-count#)
                           (apply ~fn-sym (apply vector selected-cols#))
                           (throw (Exception. (str "Exceeded maximum number of columns allowed for operation."))))))]
-               (tablecloth.api/aggregate ~'ds aggregator#)))
+               (aggregate ~'ds aggregator#)))
             ;; build either a fn that returns a dataset or the result of the operation
             `(~args
-              (~let [selected-cols# (apply vector (tablecloth.api.dataset/columns
+              (~let [selected-cols# (apply vector (columns
                                                    (select-columns ~'ds ~'columns-selector)))
                      args-to-pass# (concat selected-cols# [~@(drop 3 args)])]
                (if (>= ~max-cols (count selected-cols#))
@@ -101,10 +103,6 @@
                       ~(if return-ds? `(add-or-replace-column ~'ds ~'target-col) `(identity)))
                  (throw (Exception. (str "Exceeded maximum number of columns allowed for operation.")))))))))))
 
-(lift-op 'tablecloth.column.api.operators/bit-set {})
-
-(lift-op 'tablecloth.column.api.operators/mean {:make-aggregator? true})
-
 (def serialized-lift-fn-lookup
   {'[distance
      distance-squared
diff --git a/src/tablecloth/api/operators.clj b/src/tablecloth/api/operators.clj
index 3649b90..b306e57 100644
--- a/src/tablecloth/api/operators.clj
+++ b/src/tablecloth/api/operators.clj
@@ -47,83 +47,85 @@
  "Applies the operation tablecloth.column.api.operators/kurtosis to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/kurtosis
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__)))
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/kurtosis
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  bit-set
  "Applies the operation tablecloth.column.api.operators/bit-set to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-set)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -134,42 +136,42 @@
  "Applies the operation tablecloth.column.api.operators/finite? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/finite?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/finite?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -180,108 +182,110 @@
  "Applies the operation tablecloth.column.api.operators/distance to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 2 cols-count__47428__auto__)
+       (clojure.core/>= 2 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/distance
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  reduce-min
  "Applies the operation tablecloth.column.api.operators/reduce-min to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/reduce-min
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  to-radians
  "Applies the operation tablecloth.column.api.operators/to-radians to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/to-radians)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/to-radians)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -292,22 +296,22 @@
  "Applies the operation tablecloth.column.api.operators/bit-shift-right to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/bit-shift-right)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -318,22 +322,22 @@
  "Applies the operation tablecloth.column.api.operators/ieee-remainder to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/ieee-remainder)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -344,42 +348,42 @@
  "Applies the operation tablecloth.column.api.operators/log to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/log)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/log)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -390,22 +394,22 @@
  "Applies the operation tablecloth.column.api.operators/bit-shift-left to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/bit-shift-left)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -416,42 +420,42 @@
  "Applies the operation tablecloth.column.api.operators/acos to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/acos)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/acos)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -462,42 +466,42 @@
  "Applies the operation tablecloth.column.api.operators/to-degrees to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/to-degrees)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/to-degrees)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -508,21 +512,21 @@
  "Applies the operation tablecloth.column.api.operators/< to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      3
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/<)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -533,42 +537,42 @@
  "Applies the operation tablecloth.column.api.operators/floor to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/floor)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/floor)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -579,21 +583,21 @@
  "Applies the operation tablecloth.column.api.operators/atan2 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/atan2)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -604,21 +608,21 @@
  "Applies the operation tablecloth.column.api.operators/normalize to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/normalize)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -629,21 +633,21 @@
  "Applies the operation tablecloth.column.api.operators/hypot to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/hypot)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -654,42 +658,42 @@
  "Applies the operation tablecloth.column.api.operators/tanh to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/tanh)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/tanh)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -700,42 +704,42 @@
  "Applies the operation tablecloth.column.api.operators/sq to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/sq)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/sq)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -746,104 +750,106 @@
  "Applies the operation tablecloth.column.api.operators/sum to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/sum
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__)))
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/sum
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  pos?
  "Applies the operation tablecloth.column.api.operators/pos? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/pos?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/pos?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -854,21 +860,21 @@
  "Applies the operation tablecloth.column.api.operators/shift to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector n]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [n])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [n])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/shift)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -879,42 +885,42 @@
  "Applies the operation tablecloth.column.api.operators/ceil to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/ceil)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/ceil)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -925,21 +931,21 @@
  "Applies the operation tablecloth.column.api.operators/bit-xor to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-xor)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -950,22 +956,22 @@
  "Applies the operation tablecloth.column.api.operators/unsigned-bit-shift-right to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/unsigned-bit-shift-right)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -976,42 +982,42 @@
  "Applies the operation tablecloth.column.api.operators/neg? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/neg?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/neg?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1022,21 +1028,21 @@
  "Applies the operation tablecloth.column.api.operators/<= to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      3
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/<=)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1047,21 +1053,21 @@
  "Applies the operation tablecloth.column.api.operators/* to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/*)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1072,21 +1078,21 @@
  "Applies the operation tablecloth.column.api.operators/min to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/min)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1097,42 +1103,42 @@
  "Applies the operation tablecloth.column.api.operators/atan to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/atan)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/atan)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1143,44 +1149,44 @@
  "Applies the operation tablecloth.column.api.operators/mathematical-integer? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/mathematical-integer?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/mathematical-integer?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1191,42 +1197,42 @@
  "Applies the operation tablecloth.column.api.operators/cumprod to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cumprod)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cumprod)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1237,42 +1243,42 @@
  "Applies the operation tablecloth.column.api.operators/expm1 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/expm1)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/expm1)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1283,42 +1289,42 @@
  "Applies the operation tablecloth.column.api.operators/identity to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/identity)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/identity)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1329,75 +1335,76 @@
  "Applies the operation tablecloth.column.api.operators/reduce-max to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/reduce-max
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  cumsum
  "Applies the operation tablecloth.column.api.operators/cumsum to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cumsum)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cumsum)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1408,42 +1415,42 @@
  "Applies the operation tablecloth.column.api.operators/nan? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/nan?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/nan?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1454,21 +1461,21 @@
  "Applies the operation tablecloth.column.api.operators/bit-and-not to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-and-not)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1479,42 +1486,42 @@
  "Applies the operation tablecloth.column.api.operators/logistic to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/logistic)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/logistic)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1525,42 +1532,42 @@
  "Applies the operation tablecloth.column.api.operators/cos to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cos)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cos)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1571,42 +1578,42 @@
  "Applies the operation tablecloth.column.api.operators/log10 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/log10)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/log10)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1617,21 +1624,21 @@
  "Applies the operation tablecloth.column.api.operators/quot to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/quot)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1642,75 +1649,76 @@
  "Applies the operation tablecloth.column.api.operators/dot-product to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 2 cols-count__47428__auto__)
+       (clojure.core/>= 2 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/dot-product
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  tan
  "Applies the operation tablecloth.column.api.operators/tan to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/tan)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/tan)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1721,42 +1729,42 @@
  "Applies the operation tablecloth.column.api.operators/cbrt to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cbrt)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cbrt)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1767,21 +1775,21 @@
  "Applies the operation tablecloth.column.api.operators/eq to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      2
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/eq)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1792,83 +1800,85 @@
  "Applies the operation tablecloth.column.api.operators/mean to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/mean
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__)))
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/mean
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  >
  "Applies the operation tablecloth.column.api.operators/> to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      3
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/>)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1879,21 +1889,21 @@
  "Applies the operation tablecloth.column.api.operators/not-eq to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      2
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/not-eq)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1904,42 +1914,42 @@
  "Applies the operation tablecloth.column.api.operators/even? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/even?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/even?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1950,42 +1960,42 @@
  "Applies the operation tablecloth.column.api.operators/sqrt to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/sqrt)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/sqrt)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -1996,75 +2006,76 @@
  "Applies the operation tablecloth.column.api.operators/reduce-* to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/reduce-*
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  next-down
  "Applies the operation tablecloth.column.api.operators/next-down to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/next-down)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/next-down)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2075,21 +2086,21 @@
  "Applies the operation tablecloth.column.api.operators/- to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/-)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2100,21 +2111,21 @@
  "Applies the operation tablecloth.column.api.operators/or to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      2
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/or)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2125,54 +2136,55 @@
  "Applies the operation tablecloth.column.api.operators/distance-squared to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 2 cols-count__47428__auto__)
+       (clojure.core/>= 2 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/distance-squared
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  pow
  "Applies the operation tablecloth.column.api.operators/pow to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/pow)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2183,42 +2195,42 @@
  "Applies the operation tablecloth.column.api.operators/next-up to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/next-up)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/next-up)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2229,104 +2241,106 @@
  "Applies the operation tablecloth.column.api.operators/skew to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/skew
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__)))
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/skew
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  exp
  "Applies the operation tablecloth.column.api.operators/exp to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/exp)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/exp)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2337,75 +2351,76 @@
  "Applies the operation tablecloth.column.api.operators/mean-fast to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/mean-fast
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  zero?
  "Applies the operation tablecloth.column.api.operators/zero? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/zero?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/zero?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2416,21 +2431,21 @@
  "Applies the operation tablecloth.column.api.operators/rem to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/rem)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2441,42 +2456,42 @@
  "Applies the operation tablecloth.column.api.operators/cosh to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cosh)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cosh)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2487,139 +2502,142 @@
  "Applies the operation tablecloth.column.api.operators/variance to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/variance
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__)))
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/variance
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  reduce-+
  "Applies the operation tablecloth.column.api.operators/reduce-+ to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/reduce-+
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  get-significand
  "Applies the operation tablecloth.column.api.operators/get-significand to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/get-significand)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply
       tablecloth.column.api.operators/get-significand)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2630,21 +2648,21 @@
  "Applies the operation tablecloth.column.api.operators/bit-and to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-and)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2655,42 +2673,42 @@
  "Applies the operation tablecloth.column.api.operators/not to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/not)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/not)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2701,42 +2719,42 @@
  "Applies the operation tablecloth.column.api.operators/cummin to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cummin)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cummin)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2747,75 +2765,76 @@
  "Applies the operation tablecloth.column.api.operators/magnitude to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/magnitude
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  cummax
  "Applies the operation tablecloth.column.api.operators/cummax to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cummax)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/cummax)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2826,21 +2845,21 @@
  "Applies the operation tablecloth.column.api.operators// to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators//)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2851,21 +2870,21 @@
  "Applies the operation tablecloth.column.api.operators/bit-or to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-or)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2876,21 +2895,21 @@
  "Applies the operation tablecloth.column.api.operators/>= to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 3 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      3
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/>=)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2901,21 +2920,21 @@
  "Applies the operation tablecloth.column.api.operators/bit-flip to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-flip)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2926,42 +2945,42 @@
  "Applies the operation tablecloth.column.api.operators/log1p to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/log1p)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/log1p)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -2972,42 +2991,42 @@
  "Applies the operation tablecloth.column.api.operators/asin to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/asin)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/asin)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3018,104 +3037,106 @@
  "Applies the operation tablecloth.column.api.operators/quartile-3 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/quartile-3
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__)))
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/quartile-3
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  infinite?
  "Applies the operation tablecloth.column.api.operators/infinite? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/infinite?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/infinite?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3126,42 +3147,42 @@
  "Applies the operation tablecloth.column.api.operators/round to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/round)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/round)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3172,104 +3193,106 @@
  "Applies the operation tablecloth.column.api.operators/quartile-1 to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/quartile-1
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__)))
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/quartile-1
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  odd?
  "Applies the operation tablecloth.column.api.operators/odd? to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/odd?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/odd?)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3280,21 +3303,21 @@
  "Applies the operation tablecloth.column.api.operators/bit-clear to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-clear)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3305,21 +3328,21 @@
  "Applies the operation tablecloth.column.api.operators/+ to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/+)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3330,42 +3353,42 @@
  "Applies the operation tablecloth.column.api.operators/abs to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/abs)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/abs)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3376,104 +3399,106 @@
  "Applies the operation tablecloth.column.api.operators/median to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector options]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/median
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__)))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__)))
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/median
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  sinh
  "Applies the operation tablecloth.column.api.operators/sinh to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/sinh)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/sinh)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3484,42 +3509,42 @@
  "Applies the operation tablecloth.column.api.operators/rint to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/rint)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/rint)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3530,42 +3555,42 @@
  "Applies the operation tablecloth.column.api.operators/bit-not to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-not)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/bit-not)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3576,21 +3601,21 @@
  "Applies the operation tablecloth.column.api.operators/max to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. null\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      ##Inf
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/max)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3601,42 +3626,42 @@
  "Applies the operation tablecloth.column.api.operators/ulp to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/ulp)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/ulp)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3647,44 +3672,44 @@
  "Applies the operation tablecloth.column.api.operators/percentiles to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector percentages options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
     (clojure.core/concat
-     selected-cols__47430__auto__
+     selected-cols__31581__auto__
      [percentages options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/percentiles)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector percentages]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [percentages])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [percentages])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/percentiles)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3695,42 +3720,42 @@
  "Applies the operation tablecloth.column.api.operators/sin to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/sin)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/sin)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3741,75 +3766,76 @@
  "Applies the operation tablecloth.column.api.operators/sum-fast to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/sum-fast
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  signum
  "Applies the operation tablecloth.column.api.operators/signum to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector options]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [options])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [options])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/signum)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
        "Exceeded maximum number of columns allowed for operation."))))))
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      1
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/signum)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
@@ -3820,54 +3846,55 @@
  "Applies the operation tablecloth.column.api.operators/magnitude-squared to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 1 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds columns-selector]
   (let
-   [aggregator__47425__auto__
+   [aggregator__31576__auto__
     (clojure.core/fn
-     [ds__47426__auto__]
+     [ds__31577__auto__]
      (let
-      [ds-with-selected-cols__47427__auto__
-       (tablecloth.api/select-columns
-        ds__47426__auto__
+      [ds-with-selected-cols__31578__auto__
+       (tablecloth.api.columns/select-columns
+        ds__31577__auto__
         columns-selector)
-       cols-count__47428__auto__
+       cols-count__31579__auto__
        (clojure.core/->
-        ds-with-selected-cols__47427__auto__
-        tablecloth.api/column-names
+        ds-with-selected-cols__31578__auto__
+        tablecloth.api.utils/column-names
         clojure.core/count)
-       selected-cols__47429__auto__
-       (tablecloth.api/columns ds-with-selected-cols__47427__auto__)]
+       selected-cols__31580__auto__
+       (tablecloth.api.dataset/columns
+        ds-with-selected-cols__31578__auto__)]
       (if
-       (clojure.core/>= 1 cols-count__47428__auto__)
+       (clojure.core/>= 1 cols-count__31579__auto__)
        (clojure.core/apply
         tablecloth.column.api.operators/magnitude-squared
         (clojure.core/apply
          clojure.core/vector
-         selected-cols__47429__auto__))
+         selected-cols__31580__auto__))
        (throw
         (java.lang.Exception.
          (clojure.core/str
           "Exceeded maximum number of columns allowed for operation."))))))]
-   (tablecloth.api/aggregate ds aggregator__47425__auto__))))
+   (tablecloth.api.aggregate/aggregate ds aggregator__31576__auto__))))
 
 (defn
  and
  "Applies the operation tablecloth.column.api.operators/and to the columns selected by\n      `columns-selector` and returns a new ds with the the result in\n      `target-col`. This operation takes a maximum of 2 columns, so\n         `columns-selector` can yield no more than that many columns.\n      \n      `columns-selector can be:\n      - name\n      - sequence of names\n      - map of names with new names (rename)\n      - function which filter names (via column metadata)"
  ([ds target-col columns-selector]
   (let
-   [selected-cols__47430__auto__
+   [selected-cols__31581__auto__
     (clojure.core/apply
      clojure.core/vector
      (tablecloth.api.dataset/columns
-      (tablecloth.api/select-columns ds columns-selector)))
-    args-to-pass__47431__auto__
-    (clojure.core/concat selected-cols__47430__auto__ [])]
+      (tablecloth.api.columns/select-columns ds columns-selector)))
+    args-to-pass__31582__auto__
+    (clojure.core/concat selected-cols__31581__auto__ [])]
    (if
     (clojure.core/>=
      2
-     (clojure.core/count selected-cols__47430__auto__))
+     (clojure.core/count selected-cols__31581__auto__))
     (clojure.core/->>
-     args-to-pass__47431__auto__
+     args-to-pass__31582__auto__
      (clojure.core/apply tablecloth.column.api.operators/and)
-     (tablecloth.api/add-or-replace-column ds target-col))
+     (tablecloth.api.columns/add-or-replace-column ds target-col))
     (throw
      (java.lang.Exception.
       (clojure.core/str
diff --git a/src/tablecloth/column/api.clj b/src/tablecloth/column/api.clj
index 34a249d..b7fd473 100644
--- a/src/tablecloth/column/api.clj
+++ b/src/tablecloth/column/api.clj
@@ -4,8 +4,195 @@
   (:require [tablecloth.column.api.api-template]
             [tablecloth.column.api.column]
             [tablecloth.column.api.missing]
+            [tablecloth.column.api.operators]
             [tech.v3.dataset.column]))
 
+(defn *
+  ([x y]
+  (tablecloth.column.api.operators/* x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/* x y args)))
+
+
+(defn +
+  ([x]
+  (tablecloth.column.api.operators/+ x))
+  ([x y]
+  (tablecloth.column.api.operators/+ x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/+ x y args)))
+
+
+(defn -
+  ([x]
+  (tablecloth.column.api.operators/- x))
+  ([x y]
+  (tablecloth.column.api.operators/- x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/- x y args)))
+
+
+(defn /
+  ([x]
+  (tablecloth.column.api.operators// x))
+  ([x y]
+  (tablecloth.column.api.operators// x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators// x y args)))
+
+
+(defn <
+  ([x y z]
+  (tablecloth.column.api.operators/< x y z))
+  ([x y]
+  (tablecloth.column.api.operators/< x y)))
+
+
+(defn <=
+  ([x y z]
+  (tablecloth.column.api.operators/<= x y z))
+  ([x y]
+  (tablecloth.column.api.operators/<= x y)))
+
+
+(defn >
+  ([x y z]
+  (tablecloth.column.api.operators/> x y z))
+  ([x y]
+  (tablecloth.column.api.operators/> x y)))
+
+
+(defn >=
+  ([x y z]
+  (tablecloth.column.api.operators/>= x y z))
+  ([x y]
+  (tablecloth.column.api.operators/>= x y)))
+
+
+(defn abs
+  ([x options]
+  (tablecloth.column.api.operators/abs x options))
+  ([x]
+  (tablecloth.column.api.operators/abs x)))
+
+
+(defn acos
+  ([x options]
+  (tablecloth.column.api.operators/acos x options))
+  ([x]
+  (tablecloth.column.api.operators/acos x)))
+
+
+(defn and
+  ([x y]
+  (tablecloth.column.api.operators/and x y)))
+
+
+(defn asin
+  ([x options]
+  (tablecloth.column.api.operators/asin x options))
+  ([x]
+  (tablecloth.column.api.operators/asin x)))
+
+
+(defn atan
+  ([x options]
+  (tablecloth.column.api.operators/atan x options))
+  ([x]
+  (tablecloth.column.api.operators/atan x)))
+
+
+(defn atan2
+  ([x y]
+  (tablecloth.column.api.operators/atan2 x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/atan2 x y args)))
+
+
+(defn bit-and
+  ([x y]
+  (tablecloth.column.api.operators/bit-and x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/bit-and x y args)))
+
+
+(defn bit-and-not
+  ([x y]
+  (tablecloth.column.api.operators/bit-and-not x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/bit-and-not x y args)))
+
+
+(defn bit-clear
+  ([x y]
+  (tablecloth.column.api.operators/bit-clear x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/bit-clear x y args)))
+
+
+(defn bit-flip
+  ([x y]
+  (tablecloth.column.api.operators/bit-flip x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/bit-flip x y args)))
+
+
+(defn bit-not
+  ([x options]
+  (tablecloth.column.api.operators/bit-not x options))
+  ([x]
+  (tablecloth.column.api.operators/bit-not x)))
+
+
+(defn bit-or
+  ([x y]
+  (tablecloth.column.api.operators/bit-or x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/bit-or x y args)))
+
+
+(defn bit-set
+  ([x y]
+  (tablecloth.column.api.operators/bit-set x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/bit-set x y args)))
+
+
+(defn bit-shift-left
+  ([x y]
+  (tablecloth.column.api.operators/bit-shift-left x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/bit-shift-left x y args)))
+
+
+(defn bit-shift-right
+  ([x y]
+  (tablecloth.column.api.operators/bit-shift-right x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/bit-shift-right x y args)))
+
+
+(defn bit-xor
+  ([x y]
+  (tablecloth.column.api.operators/bit-xor x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/bit-xor x y args)))
+
+
+(defn cbrt
+  ([x options]
+  (tablecloth.column.api.operators/cbrt x options))
+  ([x]
+  (tablecloth.column.api.operators/cbrt x)))
+
+
+(defn ceil
+  ([x options]
+  (tablecloth.column.api.operators/ceil x options))
+  ([x]
+  (tablecloth.column.api.operators/ceil x)))
+
+
 (defn column
   "Create a `column` from a vector or sequence. "
   ([]
@@ -40,36 +227,471 @@
   (tablecloth.column.api.column/column? item)))
 
 
+(defn cos
+  ([x options]
+  (tablecloth.column.api.operators/cos x options))
+  ([x]
+  (tablecloth.column.api.operators/cos x)))
+
+
+(defn cosh
+  ([x options]
+  (tablecloth.column.api.operators/cosh x options))
+  ([x]
+  (tablecloth.column.api.operators/cosh x)))
+
+
 (defn count-missing
   "Returns the number of missing values in column `col`. "
   ([col]
   (tablecloth.column.api.missing/count-missing col)))
 
 
+(defn cummax
+  "Cumulative running max; returns result in double space.
+
+  Options:
+
+  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
+  ([x options]
+  (tablecloth.column.api.operators/cummax x options))
+  ([x]
+  (tablecloth.column.api.operators/cummax x)))
+
+
+(defn cummin
+  "Cumulative running min; returns result in double space.
+
+  Options:
+
+  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
+  ([x options]
+  (tablecloth.column.api.operators/cummin x options))
+  ([x]
+  (tablecloth.column.api.operators/cummin x)))
+
+
+(defn cumprod
+  "Cumulative running product; returns result in double space.
+
+  Options:
+
+  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
+  ([x options]
+  (tablecloth.column.api.operators/cumprod x options))
+  ([x]
+  (tablecloth.column.api.operators/cumprod x)))
+
+
+(defn cumsum
+  "Cumulative running summation; returns result in double space.
+
+  Options:
+
+  * `:nan-strategy` - one of `:keep`, `:remove`, `:exception`.  Defaults to `:remove`."
+  ([x options]
+  (tablecloth.column.api.operators/cumsum x options))
+  ([x]
+  (tablecloth.column.api.operators/cumsum x)))
+
+
+(defn descriptive-statistics
+  "Calculate a set of descriptive statistics on a single reader.
+
+  Available stats:
+  #{:min :quartile-1 :sum :mean :mode :median :quartile-3 :max
+    :variance :standard-deviation :skew :n-elems :kurtosis}
+
+  options
+    - `:nan-strategy` - defaults to :remove, one of
+    [:keep :remove :exception]. The fastest option is :keep but this
+    may result in your results having NaN's in them.  You can also pass
+  in a double predicate to filter custom double values."
+  ([x stats-names stats-data options]
+  (tablecloth.column.api.operators/descriptive-statistics x stats-names stats-data options))
+  ([x stats-names options]
+  (tablecloth.column.api.operators/descriptive-statistics x stats-names options))
+  ([x stats-names]
+  (tablecloth.column.api.operators/descriptive-statistics x stats-names))
+  ([x]
+  (tablecloth.column.api.operators/descriptive-statistics x)))
+
+
+(defn distance
+  ([x y]
+  (tablecloth.column.api.operators/distance x y)))
+
+
+(defn distance-squared
+  ([x y]
+  (tablecloth.column.api.operators/distance-squared x y)))
+
+
+(defn dot-product
+  ([x y]
+  (tablecloth.column.api.operators/dot-product x y)))
+
+
 (defn drop-missing
   "Remove missing values from column `col`."
   ([col]
   (tablecloth.column.api.missing/drop-missing col)))
 
 
+(defn eq
+  ([x y]
+  (tablecloth.column.api.operators/eq x y)))
+
+
+(defn equals
+  ([x y & args]
+  (apply tablecloth.column.api.operators/equals x y args)))
+
+
+(defn even?
+  ([x options]
+  (tablecloth.column.api.operators/even? x options))
+  ([x]
+  (tablecloth.column.api.operators/even? x)))
+
+
+(defn exp
+  ([x options]
+  (tablecloth.column.api.operators/exp x options))
+  ([x]
+  (tablecloth.column.api.operators/exp x)))
+
+
+(defn expm1
+  ([x options]
+  (tablecloth.column.api.operators/expm1 x options))
+  ([x]
+  (tablecloth.column.api.operators/expm1 x)))
+
+
+(defn fill-range
+  "Given a reader of numeric data and a max span amount, produce
+  a new reader where the difference between any two consecutive elements
+  is less than or equal to the max span amount.  Also return a bitmap of the added
+  indexes.  Uses linear interpolation to fill in areas, operates in double space.
+  Returns
+  {:result :missing}"
+  ([x max-span]
+  (tablecloth.column.api.operators/fill-range x max-span)))
+
+
+(defn finite?
+  ([x options]
+  (tablecloth.column.api.operators/finite? x options))
+  ([x]
+  (tablecloth.column.api.operators/finite? x)))
+
+
+(defn floor
+  ([x options]
+  (tablecloth.column.api.operators/floor x options))
+  ([x]
+  (tablecloth.column.api.operators/floor x)))
+
+
+(defn get-significand
+  ([x options]
+  (tablecloth.column.api.operators/get-significand x options))
+  ([x]
+  (tablecloth.column.api.operators/get-significand x)))
+
+
+(defn hypot
+  ([x y]
+  (tablecloth.column.api.operators/hypot x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/hypot x y args)))
+
+
+(defn identity
+  ([x options]
+  (tablecloth.column.api.operators/identity x options))
+  ([x]
+  (tablecloth.column.api.operators/identity x)))
+
+
+(defn ieee-remainder
+  ([x y]
+  (tablecloth.column.api.operators/ieee-remainder x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/ieee-remainder x y args)))
+
+
+(defn infinite?
+  ([x options]
+  (tablecloth.column.api.operators/infinite? x options))
+  ([x]
+  (tablecloth.column.api.operators/infinite? x)))
+
+
 (defn is-missing?
   "Return true if this index is missing."
   ([col idx]
   (tech.v3.dataset.column/is-missing? col idx)))
 
 
+(defn kendalls-correlation
+  ([x y options]
+  (tablecloth.column.api.operators/kendalls-correlation x y options))
+  ([x y]
+  (tablecloth.column.api.operators/kendalls-correlation x y)))
+
+
+(defn kurtosis
+  ([x options]
+  (tablecloth.column.api.operators/kurtosis x options))
+  ([x]
+  (tablecloth.column.api.operators/kurtosis x)))
+
+
+(defn log
+  ([x options]
+  (tablecloth.column.api.operators/log x options))
+  ([x]
+  (tablecloth.column.api.operators/log x)))
+
+
+(defn log10
+  ([x options]
+  (tablecloth.column.api.operators/log10 x options))
+  ([x]
+  (tablecloth.column.api.operators/log10 x)))
+
+
+(defn log1p
+  ([x options]
+  (tablecloth.column.api.operators/log1p x options))
+  ([x]
+  (tablecloth.column.api.operators/log1p x)))
+
+
+(defn logistic
+  ([x options]
+  (tablecloth.column.api.operators/logistic x options))
+  ([x]
+  (tablecloth.column.api.operators/logistic x)))
+
+
+(defn magnitude
+  ([x]
+  (tablecloth.column.api.operators/magnitude x)))
+
+
+(defn magnitude-squared
+  ([x]
+  (tablecloth.column.api.operators/magnitude-squared x)))
+
+
+(defn mathematical-integer?
+  ([x options]
+  (tablecloth.column.api.operators/mathematical-integer? x options))
+  ([x]
+  (tablecloth.column.api.operators/mathematical-integer? x)))
+
+
+(defn max
+  ([x]
+  (tablecloth.column.api.operators/max x))
+  ([x y]
+  (tablecloth.column.api.operators/max x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/max x y args)))
+
+
+(defn mean
+  "double mean of x"
+  ([x options]
+  (tablecloth.column.api.operators/mean x options))
+  ([x]
+  (tablecloth.column.api.operators/mean x)))
+
+
+(defn mean-fast
+  "Take the mean of the x.  This operation doesn't know anything about nan hence it is
+  a bit faster than the base [[mean]] fn."
+  ([x]
+  (tablecloth.column.api.operators/mean-fast x)))
+
+
+(defn median
+  ([x options]
+  (tablecloth.column.api.operators/median x options))
+  ([x]
+  (tablecloth.column.api.operators/median x)))
+
+
+(defn min
+  ([x]
+  (tablecloth.column.api.operators/min x))
+  ([x y]
+  (tablecloth.column.api.operators/min x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/min x y args)))
+
+
 (defn missing
   "Indexes of missing values.  Both iterable and reader."
   (^{:tag org.roaringbitmap.RoaringBitmap} [col]
   (tech.v3.dataset.column/missing col)))
 
 
+(defn nan?
+  ([x options]
+  (tablecloth.column.api.operators/nan? x options))
+  ([x]
+  (tablecloth.column.api.operators/nan? x)))
+
+
+(defn neg?
+  ([x options]
+  (tablecloth.column.api.operators/neg? x options))
+  ([x]
+  (tablecloth.column.api.operators/neg? x)))
+
+
+(defn next-down
+  ([x options]
+  (tablecloth.column.api.operators/next-down x options))
+  ([x]
+  (tablecloth.column.api.operators/next-down x)))
+
+
+(defn next-up
+  ([x options]
+  (tablecloth.column.api.operators/next-up x options))
+  ([x]
+  (tablecloth.column.api.operators/next-up x)))
+
+
+(defn normalize
+  ([x]
+  (tablecloth.column.api.operators/normalize x)))
+
+
+(defn not
+  ([x options]
+  (tablecloth.column.api.operators/not x options))
+  ([x]
+  (tablecloth.column.api.operators/not x)))
+
+
+(defn not-eq
+  ([x y]
+  (tablecloth.column.api.operators/not-eq x y)))
+
+
+(defn odd?
+  ([x options]
+  (tablecloth.column.api.operators/odd? x options))
+  ([x]
+  (tablecloth.column.api.operators/odd? x)))
+
+
 (defn ones
   "Creates a new column filled with `n-ones`"
   ([n-ones]
   (tablecloth.column.api.column/ones n-ones)))
 
 
+(defn or
+  ([x y]
+  (tablecloth.column.api.operators/or x y)))
+
+
+(defn pearsons-correlation
+  ([x y options]
+  (tablecloth.column.api.operators/pearsons-correlation x y options))
+  ([x y]
+  (tablecloth.column.api.operators/pearsons-correlation x y)))
+
+
+(defn percentiles
+  "Create a reader of percentile values, one for each percentage passed in.
+  Estimation types are in the set of #{:r1,r2...legacy} and are described
+  here: https://commons.apache.org/proper/commons-math/javadocs/api-3.3/index.html.
+
+  nan-strategy can be one of [:keep :remove :exception] and defaults to :exception."
+  ([x percentages options]
+  (tablecloth.column.api.operators/percentiles x percentages options))
+  ([x percentages]
+  (tablecloth.column.api.operators/percentiles x percentages)))
+
+
+(defn pos?
+  ([x options]
+  (tablecloth.column.api.operators/pos? x options))
+  ([x]
+  (tablecloth.column.api.operators/pos? x)))
+
+
+(defn pow
+  ([x y]
+  (tablecloth.column.api.operators/pow x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/pow x y args)))
+
+
+(defn quartile-1
+  ([x options]
+  (tablecloth.column.api.operators/quartile-1 x options))
+  ([x]
+  (tablecloth.column.api.operators/quartile-1 x)))
+
+
+(defn quartile-3
+  ([x options]
+  (tablecloth.column.api.operators/quartile-3 x options))
+  ([x]
+  (tablecloth.column.api.operators/quartile-3 x)))
+
+
+(defn quartiles
+  "return [min, 25 50 75 max] of item"
+  ([x]
+  (tablecloth.column.api.operators/quartiles x))
+  ([x options]
+  (tablecloth.column.api.operators/quartiles x options)))
+
+
+(defn quot
+  ([x y]
+  (tablecloth.column.api.operators/quot x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/quot x y args)))
+
+
+(defn reduce-*
+  ([x]
+  (tablecloth.column.api.operators/reduce-* x)))
+
+
+(defn reduce-+
+  ([x]
+  (tablecloth.column.api.operators/reduce-+ x)))
+
+
+(defn reduce-max
+  ([x]
+  (tablecloth.column.api.operators/reduce-max x)))
+
+
+(defn reduce-min
+  ([x]
+  (tablecloth.column.api.operators/reduce-min x)))
+
+
+(defn rem
+  ([x y]
+  (tablecloth.column.api.operators/rem x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/rem x y args)))
+
+
 (defn replace-missing
   "Replace missing values in column `col` with give `strategy`.
 
@@ -95,6 +717,22 @@
   (tablecloth.column.api.missing/replace-missing col strategy value)))
 
 
+(defn rint
+  ([x options]
+  (tablecloth.column.api.operators/rint x options))
+  ([x]
+  (tablecloth.column.api.operators/rint x)))
+
+
+(defn round
+  "Vectorized implementation of Math/round.  Operates in double space
+  but returns a long or long reader."
+  ([x options]
+  (tablecloth.column.api.operators/round x options))
+  ([x]
+  (tablecloth.column.api.operators/round x)))
+
+
 (defn select
   "Return a new column with the subset of indexes based on the provided `selection`.
   `selection` can be a list of indexes to select or boolean values where the index
@@ -105,6 +743,49 @@
   (tech.v3.dataset.column/select col selection)))
 
 
+(defn shift
+  "Shift by n and fill in with the first element for n>0 or last element for n<0.
+
+  Examples:
+
+```clojure
+user> (dfn/shift (range 10) 2)
+[0 0 0 1 2 3 4 5 6 7]
+user> (dfn/shift (range 10) -2)
+[2 3 4 5 6 7 8 9 9 9]
+```"
+  ([x n]
+  (tablecloth.column.api.operators/shift x n)))
+
+
+(defn signum
+  ([x options]
+  (tablecloth.column.api.operators/signum x options))
+  ([x]
+  (tablecloth.column.api.operators/signum x)))
+
+
+(defn sin
+  ([x options]
+  (tablecloth.column.api.operators/sin x options))
+  ([x]
+  (tablecloth.column.api.operators/sin x)))
+
+
+(defn sinh
+  ([x options]
+  (tablecloth.column.api.operators/sinh x options))
+  ([x]
+  (tablecloth.column.api.operators/sinh x)))
+
+
+(defn skew
+  ([x options]
+  (tablecloth.column.api.operators/skew x options))
+  ([x]
+  (tablecloth.column.api.operators/skew x)))
+
+
 (defn slice
   "Returns a subset of the column defined by the inclusive `from` and
   `to` indexes. If `to` is not provided, slices to the end of the
@@ -141,6 +822,80 @@
   (tablecloth.column.api.column/sort-column col order-or-comparator)))
 
 
+(defn spearmans-correlation
+  ([x y options]
+  (tablecloth.column.api.operators/spearmans-correlation x y options))
+  ([x y]
+  (tablecloth.column.api.operators/spearmans-correlation x y)))
+
+
+(defn sq
+  ([x options]
+  (tablecloth.column.api.operators/sq x options))
+  ([x]
+  (tablecloth.column.api.operators/sq x)))
+
+
+(defn sqrt
+  ([x options]
+  (tablecloth.column.api.operators/sqrt x options))
+  ([x]
+  (tablecloth.column.api.operators/sqrt x)))
+
+
+(defn standard-deviation
+  ([x options]
+  (tablecloth.column.api.operators/standard-deviation x options))
+  ([x]
+  (tablecloth.column.api.operators/standard-deviation x)))
+
+
+(defn sum
+  "Double sum of data using
+  [Kahan compensated summation](https://en.wikipedia.org/wiki/Kahan_summation_algorithm)."
+  ([x options]
+  (tablecloth.column.api.operators/sum x options))
+  ([x]
+  (tablecloth.column.api.operators/sum x)))
+
+
+(defn sum-fast
+  "Find the sum of the data.  This operation is neither nan-aware nor does it implement
+  kahans compensation although via parallelization it implements pairwise summation
+  compensation.  For a more but slightly slower but far more correct sum operator,
+  use [[sum]]."
+  ([x]
+  (tablecloth.column.api.operators/sum-fast x)))
+
+
+(defn tan
+  ([x options]
+  (tablecloth.column.api.operators/tan x options))
+  ([x]
+  (tablecloth.column.api.operators/tan x)))
+
+
+(defn tanh
+  ([x options]
+  (tablecloth.column.api.operators/tanh x options))
+  ([x]
+  (tablecloth.column.api.operators/tanh x)))
+
+
+(defn to-degrees
+  ([x options]
+  (tablecloth.column.api.operators/to-degrees x options))
+  ([x]
+  (tablecloth.column.api.operators/to-degrees x)))
+
+
+(defn to-radians
+  ([x options]
+  (tablecloth.column.api.operators/to-radians x options))
+  ([x]
+  (tablecloth.column.api.operators/to-radians x)))
+
+
 (defn typeof
   "Returns the concrete type of the elements within the column `col`."
   ([col]
@@ -154,6 +909,34 @@
   (tablecloth.column.api.column/typeof? col datatype)))
 
 
+(defn ulp
+  ([x options]
+  (tablecloth.column.api.operators/ulp x options))
+  ([x]
+  (tablecloth.column.api.operators/ulp x)))
+
+
+(defn unsigned-bit-shift-right
+  ([x y]
+  (tablecloth.column.api.operators/unsigned-bit-shift-right x y))
+  ([x y & args]
+  (apply tablecloth.column.api.operators/unsigned-bit-shift-right x y args)))
+
+
+(defn variance
+  ([x options]
+  (tablecloth.column.api.operators/variance x options))
+  ([x]
+  (tablecloth.column.api.operators/variance x)))
+
+
+(defn zero?
+  ([x options]
+  (tablecloth.column.api.operators/zero? x options))
+  ([x]
+  (tablecloth.column.api.operators/zero? x)))
+
+
 (defn zeros
   "Create a new column filled wth `n-zeros`."
   ([n-zeros]
diff --git a/src/tablecloth/column/api/api_template.clj b/src/tablecloth/column/api/api_template.clj
index 11a0047..e7d4096 100644
--- a/src/tablecloth/column/api/api_template.clj
+++ b/src/tablecloth/column/api/api_template.clj
@@ -23,6 +23,9 @@
                          missing
                          select)
 
+(exporter/export-symbols tablecloth.column.api.operators
+  * + - / < <= > >= abs acos and asin atan atan2 bit-and bit-and-not bit-clear bit-flip bit-not bit-or bit-set bit-shift-left bit-shift-right bit-xor cbrt ceil cos cosh cummax cummin cumprod cumsum descriptive-statistics distance distance-squared dot-product eq equals even? exp expm1 fill-range finite? floor get-significand hypot identity ieee-remainder infinite? kendalls-correlation kurtosis log log10 log1p logistic magnitude magnitude-squared mathematical-integer? max mean mean-fast median min nan? neg? next-down next-up normalize not not-eq odd? or pearsons-correlation percentiles pos? pow quartile-1 quartile-3 quartiles quot reduce-* reduce-+ reduce-max reduce-min rem rint round shift signum sin sinh skew spearmans-correlation sq sqrt standard-deviation sum sum-fast tan tanh to-degrees to-radians ulp unsigned-bit-shift-right variance zero?)
+
 (comment
   ;; Use this to generate the column api
   (exporter/write-api! 'tablecloth.column.api.api-template
diff --git a/src/tablecloth/column/api/lift_operators.clj b/src/tablecloth/column/api/lift_operators.clj
index 2c398c6..4ef95bb 100644
--- a/src/tablecloth/column/api/lift_operators.clj
+++ b/src/tablecloth/column/api/lift_operators.clj
@@ -1,6 +1,6 @@
 (ns tablecloth.column.api.lift-operators
   (:require [tablecloth.utils.codegen :refer [do-lift]]
-            [tablecloth.column.api :refer [column]]
+            [tablecloth.column.api.column :refer [column]]
             [tech.v3.datatype.argtypes :refer [arg-type]]))
 
 (defn get-meta [fn-sym]

From 26ae38e2862d30399a1e755a646277a39f18bbf0 Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Fri, 23 Feb 2024 16:55:42 -0800
Subject: [PATCH 33/42] Try deploying a documentation preview

---
 .github/workflows/prs-doc-preview.yml | 23 +++++++++++++++++++++++
 1 file changed, 23 insertions(+)
 create mode 100644 .github/workflows/prs-doc-preview.yml

diff --git a/.github/workflows/prs-doc-preview.yml b/.github/workflows/prs-doc-preview.yml
new file mode 100644
index 0000000..f0e5677
--- /dev/null
+++ b/.github/workflows/prs-doc-preview.yml
@@ -0,0 +1,23 @@
+name: PR Docs Preview
+
+on:
+  pull_request:
+    types:
+      - opened
+      - reopened
+      - synchronize
+      - closed
+
+concurrency: prs-doc-preview-${{ github.ref }}
+
+jobs:
+  deploy-preview:
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+
+      - name: Deploy preview
+        uses: rossjrw/pr-preview-action@v1
+        with:
+          source-dir: ./docs/

From e2a2b82383e267f65347a822cfd3d640f5a543cb Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Fri, 23 Feb 2024 17:20:10 -0800
Subject: [PATCH 34/42] Add preview-branch to docs preview action

Default was gh-pages, we use master.
---
 .github/workflows/prs-doc-preview.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.github/workflows/prs-doc-preview.yml b/.github/workflows/prs-doc-preview.yml
index f0e5677..5ae08c4 100644
--- a/.github/workflows/prs-doc-preview.yml
+++ b/.github/workflows/prs-doc-preview.yml
@@ -21,3 +21,4 @@ jobs:
         uses: rossjrw/pr-preview-action@v1
         with:
           source-dir: ./docs/
+          preview-branch: master

From b9370111b4f94c05a9dd365e4c16f7f0543699a0 Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Fri, 23 Feb 2024 17:24:51 -0800
Subject: [PATCH 35/42] Try adding umbrella-dir setting

---
 .github/workflows/prs-doc-preview.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.github/workflows/prs-doc-preview.yml b/.github/workflows/prs-doc-preview.yml
index 5ae08c4..2bc9eec 100644
--- a/.github/workflows/prs-doc-preview.yml
+++ b/.github/workflows/prs-doc-preview.yml
@@ -22,3 +22,4 @@ jobs:
         with:
           source-dir: ./docs/
           preview-branch: master
+          umbrella-dir: docs/pr-preview

From 4e8dd2c57807268854fb89e2d557b6b09a284a9e Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Fri, 23 Feb 2024 17:46:51 -0800
Subject: [PATCH 36/42] Try removing docs folder in umbrella-dir

---
 .github/workflows/prs-doc-preview.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/prs-doc-preview.yml b/.github/workflows/prs-doc-preview.yml
index 2bc9eec..ce6c2f1 100644
--- a/.github/workflows/prs-doc-preview.yml
+++ b/.github/workflows/prs-doc-preview.yml
@@ -22,4 +22,4 @@ jobs:
         with:
           source-dir: ./docs/
           preview-branch: master
-          umbrella-dir: docs/pr-preview
+          umbrella-dir: pr-preview

From 515eb7320761dddf8c1d4adf031e987c9f8b7895 Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Sat, 23 Mar 2024 18:28:54 -0400
Subject: [PATCH 37/42] Remove old pr docs preview workflow

---
 .github/workflows/prs-doc-preview.yml | 25 -------------------------
 1 file changed, 25 deletions(-)
 delete mode 100644 .github/workflows/prs-doc-preview.yml

diff --git a/.github/workflows/prs-doc-preview.yml b/.github/workflows/prs-doc-preview.yml
deleted file mode 100644
index ce6c2f1..0000000
--- a/.github/workflows/prs-doc-preview.yml
+++ /dev/null
@@ -1,25 +0,0 @@
-name: PR Docs Preview
-
-on:
-  pull_request:
-    types:
-      - opened
-      - reopened
-      - synchronize
-      - closed
-
-concurrency: prs-doc-preview-${{ github.ref }}
-
-jobs:
-  deploy-preview:
-    runs-on: ubuntu-20.04
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v3
-
-      - name: Deploy preview
-        uses: rossjrw/pr-preview-action@v1
-        with:
-          source-dir: ./docs/
-          preview-branch: master
-          umbrella-dir: pr-preview

From 7120166c3fe6ebcfdc69ed36dffea3c1be4ed306 Mon Sep 17 00:00:00 2001
From: Ethan Miller 
Date: Fri, 29 Mar 2024 10:16:22 -0400
Subject: [PATCH 38/42] Regenerated docs after merge from master

---
 docs/.clay.html                               | 1651 ++-----
 docs/.clay_files/html-default0.js             |    2 +
 docs/.clay_files/html-default1.js             |    8 +-
 docs/index.html                               | 4285 ++++++++---------
 .../libs/bootstrap/bootstrap.min.css          |   12 +-
 src/tablecloth/api/api_template.clj           |    4 +-
 6 files changed, 2526 insertions(+), 3436 deletions(-)
 create mode 100644 docs/.clay_files/html-default0.js

diff --git a/docs/.clay.html b/docs/.clay.html
index 2486ea1..13f14d3 100644
--- a/docs/.clay.html
+++ b/docs/.clay.html
@@ -2,10 +2,7 @@
  
     
     
-Clay
+
                
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\ No newline at end of file
diff --git a/docs/.clay_files/html-default0.js b/docs/.clay_files/html-default0.js
new file mode 100644
index 0000000..c4c6022
--- /dev/null
+++ b/docs/.clay_files/html-default0.js
@@ -0,0 +1,2 @@
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V.ui.keyCode.ESCAPE:this.collapse(t);break;default:e=this.previousFilter||"",s=n=!1,i=96<=t.keyCode&&t.keyCode<=105?(t.keyCode-96).toString():String.fromCharCode(t.keyCode),clearTimeout(this.filterTimer),i===e?s=!0:i=e+i,e=this._filterMenuItems(i),(e=s&&-1!==e.index(this.active.next())?this.active.nextAll(".ui-menu-item"):e).length||(i=String.fromCharCode(t.keyCode),e=this._filterMenuItems(i)),e.length?(this.focus(t,e),this.previousFilter=i,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}n&&t.preventDefault()},_activate:function(t){this.active&&!this.active.is(".ui-state-disabled")&&(this.active.children("[aria-haspopup='true']").length?this.expand(t):this.select(t))},refresh:function(){var t,e,s=this,n=this.options.icons.submenu,i=this.element.find(this.options.menus);this._toggleClass("ui-menu-icons",null,!!this.element.find(".ui-icon").length),e=i.filter(":not(.ui-menu)").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=V(this),e=t.prev(),i=V("").data("ui-menu-submenu-caret",!0);s._addClass(i,"ui-menu-icon","ui-icon "+n),e.attr("aria-haspopup","true").prepend(i),t.attr("aria-labelledby",e.attr("id"))}),this._addClass(e,"ui-menu","ui-widget ui-widget-content ui-front"),(t=i.add(this.element).find(this.options.items)).not(".ui-menu-item").each(function(){var t=V(this);s._isDivider(t)&&s._addClass(t,"ui-menu-divider","ui-widget-content")}),i=(e=t.not(".ui-menu-item, .ui-menu-divider")).children().not(".ui-menu").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),this._addClass(e,"ui-menu-item")._addClass(i,"ui-menu-item-wrapper"),t.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!V.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(t,e){var i;"icons"===t&&(i=this.element.find(".ui-menu-icon"),this._removeClass(i,null,this.options.icons.submenu)._addClass(i,null,e.submenu)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",String(t)),this._toggleClass(null,"ui-state-disabled",!!t)},focus:function(t,e){var i;this.blur(t,t&&"focus"===t.type),this._scrollIntoView(e),this.active=e.first(),i=this.active.children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",i.attr("id")),i=this.active.parent().closest(".ui-menu-item").children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),t&&"keydown"===t.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),(i=e.children(".ui-menu")).length&&t&&/^mouse/.test(t.type)&&this._startOpening(i),this.activeMenu=e.parent(),this._trigger("focus",t,{item:e})},_scrollIntoView:function(t){var e,i,s;this._hasScroll()&&(i=parseFloat(V.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(V.css(this.activeMenu[0],"paddingTop"))||0,e=t.offset().top-this.activeMenu.offset().top-i-s,i=this.activeMenu.scrollTop(),s=this.activeMenu.height(),t=t.outerHeight(),e<0?this.activeMenu.scrollTop(i+e):s",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,liveRegionTimer:null,_create:function(){var i,s,n,t=this.element[0].nodeName.toLowerCase(),e="textarea"===t,t="input"===t;this.isMultiLine=e||!t&&this._isContentEditable(this.element),this.valueMethod=this.element[e||t?"val":"text"],this.isNewMenu=!0,this._addClass("ui-autocomplete-input"),this.element.attr("autocomplete","off"),this._on(this.element,{keydown:function(t){if(this.element.prop("readOnly"))s=n=i=!0;else{s=n=i=!1;var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:i=!0,this._move("previousPage",t);break;case e.PAGE_DOWN:i=!0,this._move("nextPage",t);break;case e.UP:i=!0,this._keyEvent("previous",t);break;case e.DOWN:i=!0,this._keyEvent("next",t);break;case e.ENTER:this.menu.active&&(i=!0,t.preventDefault(),this.menu.select(t));break;case e.TAB:this.menu.active&&this.menu.select(t);break;case e.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(t),t.preventDefault());break;default:s=!0,this._searchTimeout(t)}}},keypress:function(t){if(i)return i=!1,void(this.isMultiLine&&!this.menu.element.is(":visible")||t.preventDefault());if(!s){var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:this._move("previousPage",t);break;case e.PAGE_DOWN:this._move("nextPage",t);break;case e.UP:this._keyEvent("previous",t);break;case e.DOWN:this._keyEvent("next",t)}}},input:function(t){if(n)return n=!1,void t.preventDefault();this._searchTimeout(t)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(t){clearTimeout(this.searching),this.close(t),this._change(t)}}),this._initSource(),this.menu=V("
                  ").appendTo(this._appendTo()).menu({role:null}).hide().attr({unselectable:"on"}).menu("instance"),this._addClass(this.menu.element,"ui-autocomplete","ui-front"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault()},menufocus:function(t,e){var i,s;if(this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type)))return this.menu.blur(),void this.document.one("mousemove",function(){V(t.target).trigger(t.originalEvent)});s=e.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:s})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(s.value),(i=e.item.attr("aria-label")||s.value)&&String.prototype.trim.call(i).length&&(clearTimeout(this.liveRegionTimer),this.liveRegionTimer=this._delay(function(){this.liveRegion.html(V("
                  ").text(i))},100))},menuselect:function(t,e){var i=e.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==V.ui.safeActiveElement(this.document[0])&&(this.element.trigger("focus"),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",t,{item:i})&&this._value(i.value),this.term=this._value(),this.close(t),this.selectedItem=i}}),this.liveRegion=V("
                  ",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).appendTo(this.document[0].body),this._addClass(this.liveRegion,null,"ui-helper-hidden-accessible"),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(t,e){this._super(t,e),"source"===t&&this._initSource(),"appendTo"===t&&this.menu.element.appendTo(this._appendTo()),"disabled"===t&&e&&this.xhr&&this.xhr.abort()},_isEventTargetInWidget:function(t){var e=this.menu.element[0];return t.target===this.element[0]||t.target===e||V.contains(e,t.target)},_closeOnClickOutside:function(t){this._isEventTargetInWidget(t)||this.close()},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_initSource:function(){var i,s,n=this;Array.isArray(this.options.source)?(i=this.options.source,this.source=function(t,e){e(V.ui.autocomplete.filter(i,t.term))}):"string"==typeof this.options.source?(s=this.options.source,this.source=function(t,e){n.xhr&&n.xhr.abort(),n.xhr=V.ajax({url:s,data:t,dataType:"json",success:function(t){e(t)},error:function(){e([])}})}):this.source=this.options.source},_searchTimeout:function(s){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),e=this.menu.element.is(":visible"),i=s.altKey||s.ctrlKey||s.metaKey||s.shiftKey;t&&(e||i)||(this.selectedItem=null,this.search(null,s))},this.options.delay)},search:function(t,e){return t=null!=t?t:this._value(),this.term=this._value(),t.length").append(V("
                  ").text(e.label)).appendTo(t)},_move:function(t,e){if(this.menu.element.is(":visible"))return this.menu.isFirstItem()&&/^previous/.test(t)||this.menu.isLastItem()&&/^next/.test(t)?(this.isMultiLine||this._value(this.term),void this.menu.blur()):void this.menu[t](e);this.search(null,e)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(t,e){this.isMultiLine&&!this.menu.element.is(":visible")||(this._move(t,e),e.preventDefault())},_isContentEditable:function(t){if(!t.length)return!1;var e=t.prop("contentEditable");return"inherit"===e?this._isContentEditable(t.parent()):"true"===e}}),V.extend(V.ui.autocomplete,{escapeRegex:function(t){return t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,e){var i=new RegExp(V.ui.autocomplete.escapeRegex(e),"i");return V.grep(t,function(t){return i.test(t.label||t.value||t)})}}),V.widget("ui.autocomplete",V.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(t){return t+(1").text(e))},100))}});V.ui.autocomplete;var tt=/ui-corner-([a-z]){2,6}/g;V.widget("ui.controlgroup",{version:"1.13.1",defaultElement:"
                  ",options:{direction:"horizontal",disabled:null,onlyVisible:!0,items:{button:"input[type=button], input[type=submit], input[type=reset], button, a",controlgroupLabel:".ui-controlgroup-label",checkboxradio:"input[type='checkbox'], input[type='radio']",selectmenu:"select",spinner:".ui-spinner-input"}},_create:function(){this._enhance()},_enhance:function(){this.element.attr("role","toolbar"),this.refresh()},_destroy:function(){this._callChildMethod("destroy"),this.childWidgets.removeData("ui-controlgroup-data"),this.element.removeAttr("role"),this.options.items.controlgroupLabel&&this.element.find(this.options.items.controlgroupLabel).find(".ui-controlgroup-label-contents").contents().unwrap()},_initWidgets:function(){var o=this,a=[];V.each(this.options.items,function(s,t){var e,n={};if(t)return"controlgroupLabel"===s?((e=o.element.find(t)).each(function(){var t=V(this);t.children(".ui-controlgroup-label-contents").length||t.contents().wrapAll("")}),o._addClass(e,null,"ui-widget ui-widget-content ui-state-default"),void(a=a.concat(e.get()))):void(V.fn[s]&&(n=o["_"+s+"Options"]?o["_"+s+"Options"]("middle"):{classes:{}},o.element.find(t).each(function(){var t=V(this),e=t[s]("instance"),i=V.widget.extend({},n);"button"===s&&t.parent(".ui-spinner").length||((e=e||t[s]()[s]("instance"))&&(i.classes=o._resolveClassesValues(i.classes,e)),t[s](i),i=t[s]("widget"),V.data(i[0],"ui-controlgroup-data",e||t[s]("instance")),a.push(i[0]))})))}),this.childWidgets=V(V.uniqueSort(a)),this._addClass(this.childWidgets,"ui-controlgroup-item")},_callChildMethod:function(e){this.childWidgets.each(function(){var t=V(this).data("ui-controlgroup-data");t&&t[e]&&t[e]()})},_updateCornerClass:function(t,e){e=this._buildSimpleOptions(e,"label").classes.label;this._removeClass(t,null,"ui-corner-top ui-corner-bottom ui-corner-left ui-corner-right ui-corner-all"),this._addClass(t,null,e)},_buildSimpleOptions:function(t,e){var i="vertical"===this.options.direction,s={classes:{}};return s.classes[e]={middle:"",first:"ui-corner-"+(i?"top":"left"),last:"ui-corner-"+(i?"bottom":"right"),only:"ui-corner-all"}[t],s},_spinnerOptions:function(t){t=this._buildSimpleOptions(t,"ui-spinner");return t.classes["ui-spinner-up"]="",t.classes["ui-spinner-down"]="",t},_buttonOptions:function(t){return this._buildSimpleOptions(t,"ui-button")},_checkboxradioOptions:function(t){return this._buildSimpleOptions(t,"ui-checkboxradio-label")},_selectmenuOptions:function(t){var e="vertical"===this.options.direction;return{width:e&&"auto",classes:{middle:{"ui-selectmenu-button-open":"","ui-selectmenu-button-closed":""},first:{"ui-selectmenu-button-open":"ui-corner-"+(e?"top":"tl"),"ui-selectmenu-button-closed":"ui-corner-"+(e?"top":"left")},last:{"ui-selectmenu-button-open":e?"":"ui-corner-tr","ui-selectmenu-button-closed":"ui-corner-"+(e?"bottom":"right")},only:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"}}[t]}},_resolveClassesValues:function(i,s){var n={};return V.each(i,function(t){var e=s.options.classes[t]||"",e=String.prototype.trim.call(e.replace(tt,""));n[t]=(e+" "+i[t]).replace(/\s+/g," ")}),n},_setOption:function(t,e){"direction"===t&&this._removeClass("ui-controlgroup-"+this.options.direction),this._super(t,e),"disabled"!==t?this.refresh():this._callChildMethod(e?"disable":"enable")},refresh:function(){var n,o=this;this._addClass("ui-controlgroup ui-controlgroup-"+this.options.direction),"horizontal"===this.options.direction&&this._addClass(null,"ui-helper-clearfix"),this._initWidgets(),n=this.childWidgets,(n=this.options.onlyVisible?n.filter(":visible"):n).length&&(V.each(["first","last"],function(t,e){var i,s=n[e]().data("ui-controlgroup-data");s&&o["_"+s.widgetName+"Options"]?((i=o["_"+s.widgetName+"Options"](1===n.length?"only":e)).classes=o._resolveClassesValues(i.classes,s),s.element[s.widgetName](i)):o._updateCornerClass(n[e](),e)}),this._callChildMethod("refresh"))}});V.widget("ui.checkboxradio",[V.ui.formResetMixin,{version:"1.13.1",options:{disabled:null,label:null,icon:!0,classes:{"ui-checkboxradio-label":"ui-corner-all","ui-checkboxradio-icon":"ui-corner-all"}},_getCreateOptions:function(){var t,e=this,i=this._super()||{};return this._readType(),t=this.element.labels(),this.label=V(t[t.length-1]),this.label.length||V.error("No label found for checkboxradio widget"),this.originalLabel="",this.label.contents().not(this.element[0]).each(function(){e.originalLabel+=3===this.nodeType?V(this).text():this.outerHTML}),this.originalLabel&&(i.label=this.originalLabel),null!=(t=this.element[0].disabled)&&(i.disabled=t),i},_create:function(){var t=this.element[0].checked;this._bindFormResetHandler(),null==this.options.disabled&&(this.options.disabled=this.element[0].disabled),this._setOption("disabled",this.options.disabled),this._addClass("ui-checkboxradio","ui-helper-hidden-accessible"),this._addClass(this.label,"ui-checkboxradio-label","ui-button ui-widget"),"radio"===this.type&&this._addClass(this.label,"ui-checkboxradio-radio-label"),this.options.label&&this.options.label!==this.originalLabel?this._updateLabel():this.originalLabel&&(this.options.label=this.originalLabel),this._enhance(),t&&this._addClass(this.label,"ui-checkboxradio-checked","ui-state-active"),this._on({change:"_toggleClasses",focus:function(){this._addClass(this.label,null,"ui-state-focus ui-visual-focus")},blur:function(){this._removeClass(this.label,null,"ui-state-focus ui-visual-focus")}})},_readType:function(){var t=this.element[0].nodeName.toLowerCase();this.type=this.element[0].type,"input"===t&&/radio|checkbox/.test(this.type)||V.error("Can't create checkboxradio on element.nodeName="+t+" and element.type="+this.type)},_enhance:function(){this._updateIcon(this.element[0].checked)},widget:function(){return this.label},_getRadioGroup:function(){var t=this.element[0].name,e="input[name='"+V.escapeSelector(t)+"']";return t?(this.form.length?V(this.form[0].elements).filter(e):V(e).filter(function(){return 0===V(this)._form().length})).not(this.element):V([])},_toggleClasses:function(){var t=this.element[0].checked;this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),this.options.icon&&"checkbox"===this.type&&this._toggleClass(this.icon,null,"ui-icon-check ui-state-checked",t)._toggleClass(this.icon,null,"ui-icon-blank",!t),"radio"===this.type&&this._getRadioGroup().each(function(){var t=V(this).checkboxradio("instance");t&&t._removeClass(t.label,"ui-checkboxradio-checked","ui-state-active")})},_destroy:function(){this._unbindFormResetHandler(),this.icon&&(this.icon.remove(),this.iconSpace.remove())},_setOption:function(t,e){if("label"!==t||e){if(this._super(t,e),"disabled"===t)return this._toggleClass(this.label,null,"ui-state-disabled",e),void(this.element[0].disabled=e);this.refresh()}},_updateIcon:function(t){var e="ui-icon ui-icon-background ";this.options.icon?(this.icon||(this.icon=V(""),this.iconSpace=V(" "),this._addClass(this.iconSpace,"ui-checkboxradio-icon-space")),"checkbox"===this.type?(e+=t?"ui-icon-check ui-state-checked":"ui-icon-blank",this._removeClass(this.icon,null,t?"ui-icon-blank":"ui-icon-check")):e+="ui-icon-blank",this._addClass(this.icon,"ui-checkboxradio-icon",e),t||this._removeClass(this.icon,null,"ui-icon-check ui-state-checked"),this.icon.prependTo(this.label).after(this.iconSpace)):void 0!==this.icon&&(this.icon.remove(),this.iconSpace.remove(),delete this.icon)},_updateLabel:function(){var t=this.label.contents().not(this.element[0]);this.icon&&(t=t.not(this.icon[0])),(t=this.iconSpace?t.not(this.iconSpace[0]):t).remove(),this.label.append(this.options.label)},refresh:function(){var t=this.element[0].checked,e=this.element[0].disabled;this._updateIcon(t),this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),null!==this.options.label&&this._updateLabel(),e!==this.options.disabled&&this._setOptions({disabled:e})}}]);var et;V.ui.checkboxradio;V.widget("ui.button",{version:"1.13.1",defaultElement:"
                  "+(0
                  ":""):"")}f+=_}return f+=F,t._keyEvent=!1,f},_generateMonthYearHeader:function(t,e,i,s,n,o,a,r){var l,h,c,u,d,p,f=this._get(t,"changeMonth"),g=this._get(t,"changeYear"),m=this._get(t,"showMonthAfterYear"),_=this._get(t,"selectMonthLabel"),v=this._get(t,"selectYearLabel"),b="
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                  ").appendTo(this._appendTo()),this._addClass(this.overlay,null,"ui-widget-overlay ui-front"),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1))},_destroyOverlay:function(){var t;this.options.modal&&this.overlay&&((t=this.document.data("ui-dialog-overlays")-1)?this.document.data("ui-dialog-overlays",t):(this.document.off("focusin.ui-dialog"),this.document.removeData("ui-dialog-overlays")),this.overlay.remove(),this.overlay=null)}}),!1!==V.uiBackCompat&&V.widget("ui.dialog",V.ui.dialog,{options:{dialogClass:""},_createWrapper:function(){this._super(),this.uiDialog.addClass(this.options.dialogClass)},_setOption:function(t,e){"dialogClass"===t&&this.uiDialog.removeClass(this.options.dialogClass).addClass(e),this._superApply(arguments)}});V.ui.dialog;function lt(t,e,i){return e<=t&&t").appendTo(this.element),this._addClass(this.valueDiv,"ui-progressbar-value","ui-widget-header"),this._refreshValue()},_destroy:function(){this.element.removeAttr("role aria-valuemin aria-valuemax aria-valuenow"),this.valueDiv.remove()},value:function(t){if(void 0===t)return this.options.value;this.options.value=this._constrainedValue(t),this._refreshValue()},_constrainedValue:function(t){return void 0===t&&(t=this.options.value),this.indeterminate=!1===t,"number"!=typeof t&&(t=0),!this.indeterminate&&Math.min(this.options.max,Math.max(this.min,t))},_setOptions:function(t){var e=t.value;delete t.value,this._super(t),this.options.value=this._constrainedValue(e),this._refreshValue()},_setOption:function(t,e){"max"===t&&(e=Math.max(this.min,e)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",t),this._toggleClass(null,"ui-state-disabled",!!t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,e=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).width(e.toFixed(0)+"%"),this._toggleClass(this.valueDiv,"ui-progressbar-complete",null,t===this.options.max)._toggleClass("ui-progressbar-indeterminate",null,this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=V("
                  ").appendTo(this.valueDiv),this._addClass(this.overlayDiv,"ui-progressbar-overlay"))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),V.widget("ui.selectable",V.ui.mouse,{version:"1.13.1",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var i=this;this._addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){i.elementPos=V(i.element[0]).offset(),i.selectees=V(i.options.filter,i.element[0]),i._addClass(i.selectees,"ui-selectee"),i.selectees.each(function(){var t=V(this),e=t.offset(),e={left:e.left-i.elementPos.left,top:e.top-i.elementPos.top};V.data(this,"selectable-item",{element:this,$element:t,left:e.left,top:e.top,right:e.left+t.outerWidth(),bottom:e.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this._mouseInit(),this.helper=V("
                  "),this._addClass(this.helper,"ui-selectable-helper")},_destroy:function(){this.selectees.removeData("selectable-item"),this._mouseDestroy()},_mouseStart:function(i){var s=this,t=this.options;this.opos=[i.pageX,i.pageY],this.elementPos=V(this.element[0]).offset(),this.options.disabled||(this.selectees=V(t.filter,this.element[0]),this._trigger("start",i),V(t.appendTo).append(this.helper),this.helper.css({left:i.pageX,top:i.pageY,width:0,height:0}),t.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var t=V.data(this,"selectable-item");t.startselected=!0,i.metaKey||i.ctrlKey||(s._removeClass(t.$element,"ui-selected"),t.selected=!1,s._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,s._trigger("unselecting",i,{unselecting:t.element}))}),V(i.target).parents().addBack().each(function(){var t,e=V.data(this,"selectable-item");if(e)return t=!i.metaKey&&!i.ctrlKey||!e.$element.hasClass("ui-selected"),s._removeClass(e.$element,t?"ui-unselecting":"ui-selected")._addClass(e.$element,t?"ui-selecting":"ui-unselecting"),e.unselecting=!t,e.selecting=t,(e.selected=t)?s._trigger("selecting",i,{selecting:e.element}):s._trigger("unselecting",i,{unselecting:e.element}),!1}))},_mouseDrag:function(s){if(this.dragged=!0,!this.options.disabled){var t,n=this,o=this.options,a=this.opos[0],r=this.opos[1],l=s.pageX,h=s.pageY;return ll||i.righth||i.bottoma&&i.rightr&&i.bottom",options:{appendTo:null,classes:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"},disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:!1,change:null,close:null,focus:null,open:null,select:null},_create:function(){var t=this.element.uniqueId().attr("id");this.ids={element:t,button:t+"-button",menu:t+"-menu"},this._drawButton(),this._drawMenu(),this._bindFormResetHandler(),this._rendered=!1,this.menuItems=V()},_drawButton:function(){var t,e=this,i=this._parseOption(this.element.find("option:selected"),this.element[0].selectedIndex);this.labels=this.element.labels().attr("for",this.ids.button),this._on(this.labels,{click:function(t){this.button.trigger("focus"),t.preventDefault()}}),this.element.hide(),this.button=V("",{tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true",title:this.element.attr("title")}).insertAfter(this.element),this._addClass(this.button,"ui-selectmenu-button ui-selectmenu-button-closed","ui-button ui-widget"),t=V("").appendTo(this.button),this._addClass(t,"ui-selectmenu-icon","ui-icon "+this.options.icons.button),this.buttonItem=this._renderButtonItem(i).appendTo(this.button),!1!==this.options.width&&this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){e._rendered||e._refreshMenu()})},_drawMenu:function(){var i=this;this.menu=V("
   
                • Pipeline
                  • 
-  
                • Functions
                  • 
   
                • Other examples
   
                    
   
                  • Stocks
                    • 
@@ -259,10 +231,8 @@ 
                    Tablecloth documentation
                    
   
                  • 
   
 
-
 
 
-