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Fix linter and dependency issues

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Carlos Felix 2024-11-19 15:01:27 -05:00 • committed by Carlos Felix
commit 3e087a37a4
7 changed files with 619 additions and 730 deletions
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21
data/data-pipeline/data_pipeline/score/score_narwhal.py
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@ -1014,12 +1014,12 @@ class ScoreNarwhal(Score):
)
def _mark_territory_dacs(self) -> None:
"""Territory tracts that are flagged as low income are Score N communities.
"""
"""Territory tracts that are flagged as low income are Score N communities."""
self.df[field_names.SCORE_N_COMMUNITIES] = np.where(
self.df[field_names.GEOID_TRACT_FIELD]
.str.startswith(tuple(constants.TILES_ISLAND_AREA_FIPS_CODES)) &
self.df[field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED],
self.df[field_names.GEOID_TRACT_FIELD].str.startswith(
tuple(constants.TILES_ISLAND_AREA_FIPS_CODES)
)
& self.df[field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED],
True,
self.df[field_names.SCORE_N_COMMUNITIES],
)
@ -1049,9 +1049,14 @@ class ScoreNarwhal(Score):
combined_column_name=field_names.COMBINED_POVERTY_LESS_THAN_200_FPL_FIELD_2010,
threshold_cutoff_for_island_areas=self.LOW_INCOME_THRESHOLD,
)
self.df.loc[self.df[field_names.GEOID_TRACT_FIELD].str.startswith(tuple(constants.TILES_ISLAND_AREA_FIPS_CODES)),
field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED] = (
self.df[island_areas_poverty_200_criteria_field_name] >= self.LOW_INCOME_THRESHOLD
self.df.loc[
self.df[field_names.GEOID_TRACT_FIELD].str.startswith(
tuple(constants.TILES_ISLAND_AREA_FIPS_CODES)
),
field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED,
] = (
self.df[island_areas_poverty_200_criteria_field_name]
>= self.LOW_INCOME_THRESHOLD
)
def _get_percent_of_tract_that_is_dac(self) -> float: