From 242f6ec327d4e27857176ab0f98d07c32cf0edac Mon Sep 17 00:00:00 2001
From: Emma Nechamkin <Emma.J.Nechamkin@omb.eop.gov>
Date: Thu, 11 Aug 2022 10:01:38 -0400
Subject: [PATCH] updated to fix linting errors

---
 data/data-pipeline/data_pipeline/etl/score/constants.py     | 6 +++---
 data/data-pipeline/data_pipeline/etl/score/etl_score.py     | 1 -
 data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py | 3 +--
 .../data_pipeline/etl/sources/census_acs/etl_imputations.py | 1 -
 4 files changed, 4 insertions(+), 7 deletions(-)

diff --git a/data/data-pipeline/data_pipeline/etl/score/constants.py b/data/data-pipeline/data_pipeline/etl/score/constants.py
index 139f672b5..17e5b4355 100644
--- a/data/data-pipeline/data_pipeline/etl/score/constants.py
+++ b/data/data-pipeline/data_pipeline/etl/score/constants.py
@@ -294,10 +294,10 @@
     # These are the booleans for socioeconomic indicators
     ## this measures low income boolean
     field_names.FPL_200_SERIES: "FPL200S",
-    ## Low high school and low higher ed for t&wd
+    ## Low high school for t&wd
     field_names.WORKFORCE_SOCIO_INDICATORS_EXCEEDED: "M_WKFC_EBSI",
-    ## FPL 200 and low higher ed for all others
-    field_names.FPL_200_SERIES: "M_EBSI",
+    ## FPL 200 and low higher ed for all others should no longer be M_EBSI, but rather
+    ## FPL_200 (there is no higher ed in narwhal)
 }
 
 # columns to round floats to 2 decimals
diff --git a/data/data-pipeline/data_pipeline/etl/score/etl_score.py b/data/data-pipeline/data_pipeline/etl/score/etl_score.py
index e85aff16b..0af482b97 100644
--- a/data/data-pipeline/data_pipeline/etl/score/etl_score.py
+++ b/data/data-pipeline/data_pipeline/etl/score/etl_score.py
@@ -1,6 +1,5 @@
 import functools
 from collections import namedtuple
-from attr import field
 
 import numpy as np
 import pandas as pd
diff --git a/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py b/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py
index d219c306a..a4b5685ef 100644
--- a/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py
+++ b/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py
@@ -289,7 +289,7 @@ def create_esri_codebook(codebook):
             shapefile_column_field = "shapefile_column"
             internal_column_name_field = "column_name"
             column_description_field = "column_description"
-            
+
             logger.info("Creating a codebook that uses the csv names")
             codebook = (
                 pd.Series(codebook)
@@ -299,7 +299,6 @@ def create_esri_codebook(codebook):
                         0: internal_column_name_field,
                         "index": shapefile_column_field,
                     }
-
                 )
             )
 
diff --git a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py
index c0c6f6ec1..35ccb6c12 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl_imputations.py
@@ -1,7 +1,6 @@
 from typing import List, NamedTuple
 import pandas as pd
 import geopandas as gpd
-import numpy as np
 
 from data_pipeline.utils import get_module_logger