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Emma nechamkin/holc patch (#1742)

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Removing HOLC calculation from score narwhal.
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Emma Nechamkin 2022-07-15 12:29:46 -04:00 • committed by Emma Nechamkin
parent f8a6567cde
commit 002cddf68e
1 changed files with 7 additions and 8 deletions
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15
data/data-pipeline/data_pipeline/score/score_narwhal.py
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@ -314,17 +314,16 @@ class ScoreNarwhal(Score):
housing_eligibility_columns = [ housing_eligibility_columns = [
field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD, field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD,
field_names.HOUSING_BURDEN_LOW_INCOME_FIELD, field_names.HOUSING_BURDEN_LOW_INCOME_FIELD,
# Until we get confirmation -- NOT included field_names.HISTORIC_REDLINING_SCORE_EXCEEDED_LOW_INCOME_FIELD,
# field_names.HISTORIC_REDLINING_SCORE_EXCEEDED_LOW_INCOME_FIELD,
] ]
# # design question -- should read in scalar with threshold here instead? # # design question -- should read in scalar with threshold here instead?
# self.df[ self.df[
# field_names.HISTORIC_REDLINING_SCORE_EXCEEDED_LOW_INCOME_FIELD field_names.HISTORIC_REDLINING_SCORE_EXCEEDED_LOW_INCOME_FIELD
# ] = ( ] = (
# self.df[field_names.HISTORIC_REDLINING_SCORE_EXCEEDED] self.df[field_names.HISTORIC_REDLINING_SCORE_EXCEEDED]
# & self.df[field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED] & self.df[field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED]
# ) )
self.df[field_names.LEAD_PAINT_PROXY_PCTILE_THRESHOLD] = ( self.df[field_names.LEAD_PAINT_PROXY_PCTILE_THRESHOLD] = (
self.df[ self.df[