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Cleaning up quick code (#1349)

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Did some quick, mostly cosmetic changes and updates to the quick launch changes. This mostly entailed changing strings to constants and cleaning up some code to make it neater.

Changes -- PR AMI, updating ag loss, and dropping pr from some threshold counts.
This commit is contained in:
Emma Nechamkin 2022-03-02 16:50:04 -05:00 • committed by GitHub
commit aea49cbb5a
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6 changed files with 341 additions and 348 deletions
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21
data/data-pipeline/data_pipeline/score/score_m.py
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@ -5,6 +5,7 @@ import pandas as pd
from data_pipeline.score.score import Score
import data_pipeline.score.field_names as field_names
from data_pipeline.utils import get_module_logger
import data_pipeline.etl.score.constants as constants
logger = get_module_logger(__name__)
@ -195,7 +196,8 @@ class ScoreM(Score):
)
self._increment_total_eligibility_exceeded(
climate_eligibility_columns, skip_fips=("72")
climate_eligibility_columns,
skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
)
return self.df[climate_eligibility_columns].any(axis="columns")
@ -239,7 +241,8 @@ class ScoreM(Score):
)
self._increment_total_eligibility_exceeded(
energy_eligibility_columns, skip_fips=("72")
energy_eligibility_columns,
skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
)
return self.df[energy_eligibility_columns].any(axis="columns")
@ -290,7 +293,8 @@ class ScoreM(Score):
)
self._increment_total_eligibility_exceeded(
transportion_eligibility_columns, skip_fips=("72")
transportion_eligibility_columns,
skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
)
return self.df[transportion_eligibility_columns].any(axis="columns")
@ -351,7 +355,8 @@ class ScoreM(Score):
)
self._increment_total_eligibility_exceeded(
housing_eligibility_columns, skip_fips=("72")
housing_eligibility_columns,
skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
)
return self.df[housing_eligibility_columns].any(axis="columns")
@ -402,7 +407,8 @@ class ScoreM(Score):
)
self._increment_total_eligibility_exceeded(
pollution_eligibility_columns, skip_fips=("72")
pollution_eligibility_columns,
skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
)
return self.df[pollution_eligibility_columns].any(axis="columns")
@ -432,7 +438,7 @@ class ScoreM(Score):
self._increment_total_eligibility_exceeded(
[field_names.WASTEWATER_DISCHARGE_LOW_INCOME_LOW_HIGHER_ED_FIELD],
skip_fips=("72"),
skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
)
return self.df[
@ -510,7 +516,8 @@ class ScoreM(Score):
)
self._increment_total_eligibility_exceeded(
health_eligibility_columns, skip_fips=("72")
health_eligibility_columns,
skip_fips=constants.DROP_FIPS_FROM_NON_WTD_THRESHOLDS,
)
return self.df[health_eligibility_columns].any(axis="columns")