tribal tiles fix (#1874)

* Alaska tribal points fix (#1821)

* tribal tiles fix

* disabling child opportunity

* lint

* removing COI

* removing commented out code
This commit is contained in:
Jorge Escobar 2022-09-01 10:19:13 -04:00 committed by GitHub
commit ccd72e2cce
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4 changed files with 5 additions and 45 deletions

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@ -45,7 +45,7 @@ class ScoreETL(ExtractTransformLoad):
self.persistent_poverty_df: pd.DataFrame
self.census_decennial_df: pd.DataFrame
self.census_2010_df: pd.DataFrame
self.child_opportunity_index_df: pd.DataFrame
# self.child_opportunity_index_df: pd.DataFrame
self.hrs_df: pd.DataFrame
self.dot_travel_disadvantage_df: pd.DataFrame
self.fsf_flood_df: pd.DataFrame
@ -192,19 +192,6 @@ class ScoreETL(ExtractTransformLoad):
low_memory=False,
)
# Load COI data
child_opportunity_index_csv = (
constants.DATA_PATH
/ "dataset"
/ "child_opportunity_index"
/ "usa.csv"
)
self.child_opportunity_index_df = pd.read_csv(
child_opportunity_index_csv,
dtype={self.GEOID_TRACT_FIELD_NAME: "string"},
low_memory=False,
)
# Load HRS data
hrs_csv = (
constants.DATA_PATH / "dataset" / "historic_redlining" / "usa.csv"
@ -368,7 +355,6 @@ class ScoreETL(ExtractTransformLoad):
self.census_acs_median_incomes_df,
self.census_decennial_df,
self.census_2010_df,
self.child_opportunity_index_df,
self.hrs_df,
self.dot_travel_disadvantage_df,
self.fsf_flood_df,
@ -455,9 +441,6 @@ class ScoreETL(ExtractTransformLoad):
field_names.CENSUS_UNEMPLOYMENT_FIELD_2010,
field_names.CENSUS_POVERTY_LESS_THAN_100_FPL_FIELD_2010,
field_names.CENSUS_DECENNIAL_TOTAL_POPULATION_FIELD_2009,
field_names.EXTREME_HEAT_FIELD,
field_names.HEALTHY_FOOD_FIELD,
field_names.IMPENETRABLE_SURFACES_FIELD,
field_names.UST_FIELD,
field_names.DOT_TRAVEL_BURDEN_FIELD,
field_names.FUTURE_FLOOD_RISK_FIELD,
@ -509,10 +492,6 @@ class ScoreETL(ExtractTransformLoad):
# This low field will not exist yet, it is only calculated for the
# percentile.
# TODO: This will come from the YAML dataset config
ReversePercentile(
field_name=field_names.READING_FIELD,
low_field_name=field_names.LOW_READING_FIELD,
),
ReversePercentile(
field_name=field_names.MEDIAN_INCOME_AS_PERCENT_OF_AMI_FIELD,
low_field_name=field_names.LOW_MEDIAN_INCOME_AS_PERCENT_OF_AMI_FIELD,