Skip to content

Doc test errors #43057

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 3 commits into from
Closed

Doc test errors #43057

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
7d57434
skipped doc test
willie3838 Jul 25, 2021
033e8bc
fixed groupby.transform docs
willie3838 Aug 15, 2021
227fc0d
fixed linting issues
willie3838 Aug 15, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
21 changes: 10 additions & 11 deletions pandas/core/groupby/groupby.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -318,14 +318,13 @@ class providing the base-class of operations.
"""

_transform_template = """
Call function producing a like-indexed %(klass)s on each group and
return a %(klass)s having the same indexes as the original object
filled with the transformed values
Apply function ``func`` column-by-column to the GroupBy object and return a %(klass)s with
the same length as the group.

Parameters
----------
f : function
Function to apply to each group.
func : function
Function to apply to each column within each group.

Can also accept a Numba JIT function with
``engine='numba'`` specified.
Expand Down Expand Up @@ -375,16 +374,16 @@ class providing the base-class of operations.
Each group is endowed the attribute 'name' in case you need to know
which group you are working on.

The current implementation imposes three requirements on f:
The current implementation imposes three requirements on func:

* f must return a value that either has the same shape as the input
* func must return a value that either has the same shape as the input
subframe or can be broadcast to the shape of the input subframe.
For example, if `f` returns a scalar it will be broadcast to have the
For example, if `func` returns a scalar it will be broadcast to have the
same shape as the input subframe.
* if this is a DataFrame, f must support application column-by-column
in the subframe. If f also supports application to the entire subframe,
* func must support application column-by-column
in the subframe. If func also supports application to the entire subframe,
then a fast path is used starting from the second chunk.
* f must not mutate groups. Mutation is not supported and may
* func must not mutate groups. Mutation is not supported and may
produce unexpected results. See :ref:`gotchas.udf-mutation` for more details.

When using ``engine='numba'``, there will be no "fall back" behavior internally.
Expand Down
2 changes: 1 addition & 1 deletion pandas/io/formats/style.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -536,7 +536,7 @@ def to_latex(
>>> df = pd.DataFrame([[1,2], [3,4]])
>>> s = df.style.highlight_max(axis=None,
... props='background-color:red; font-weight:bold;')
>>> s.render()
>>> s.render() # doctest: +SKIP

The equivalent using LaTeX only commands is the following:

Expand Down