undo score module

2025-02-23 10:04:18 -08:00 · 2022-01-12 18:46:07 -05:00 · 2022-01-12 18:46:07 -05:00 · 321dadf6d5
commit 321dadf6d5
parent 159516df80
2 changed files with 79 additions and 120 deletions
--- a/data/data-pipeline/data_pipeline/etl/score/constants.py
+++ b/data/data-pipeline/data_pipeline/etl/score/constants.py
@ -63,13 +63,6 @@ SCORE_DOWNLOADABLE_ZIP_FILE_PATH = (
 # Column subsets
 CENSUS_COUNTIES_COLUMNS = ["USPS", "GEOID", "NAME"]

-# Percent prefixes for rounding
-PERCENT_PREFIXES_SUFFIXES = [
-    "Percent",
-    "Percentage",
-    field_names.PERCENTILE_FIELD_SUFFIX,
-]
-
 TILES_ROUND_NUM_DECIMALS = 2
 # Tiles data: full field name, tile index name
 TILES_SCORE_COLUMNS = {
@ -198,88 +191,91 @@ DOWNLOADABLE_SCORE_COLUMNS = [
    field_names.GEOID_TRACT_FIELD,
    field_names.COUNTY_FIELD,
    field_names.STATE_FIELD,
-    field_names.THRESHOLD_COUNT,
    field_names.SCORE_L_COMMUNITIES,
    field_names.TOTAL_POP_FIELD,
    field_names.FPL_200_SERIES,
-    field_names.EXPECTED_AGRICULTURE_LOSS_RATE_LOW_INCOME_FIELD,
-    field_names.EXPECTED_AGRICULTURE_LOSS_RATE_FIELD
-    + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.EXPECTED_AGRICULTURE_LOSS_RATE_FIELD,
-    field_names.EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_FIELD,
-    field_names.EXPECTED_BUILDING_LOSS_RATE_FIELD
-    + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.EXPECTED_BUILDING_LOSS_RATE_FIELD,
-    field_names.EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_FIELD,
-    field_names.EXPECTED_POPULATION_LOSS_RATE_FIELD
-    + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.EXPECTED_POPULATION_LOSS_RATE_FIELD,
-    field_names.ENERGY_BURDEN_LOW_INCOME_FIELD,
-    field_names.ENERGY_BURDEN_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.ENERGY_BURDEN_FIELD,
-    field_names.PM25_EXPOSURE_LOW_INCOME_FIELD,
-    field_names.PM25_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.PM25_FIELD,
-    field_names.DIESEL_PARTICULATE_MATTER_LOW_INCOME_FIELD,
-    field_names.DIESEL_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.DIESEL_FIELD,
-    field_names.TRAFFIC_PROXIMITY_LOW_INCOME_FIELD,
-    field_names.TRAFFIC_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.TRAFFIC_FIELD,
-    field_names.HOUSING_BURDEN_LOW_INCOME_FIELD,
-    field_names.HOUSING_BURDEN_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.HOUSING_BURDEN_FIELD,
-    field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD,
-    field_names.LEAD_PAINT_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.LEAD_PAINT_FIELD,
-    field_names.MEDIAN_HOUSE_VALUE_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.MEDIAN_HOUSE_VALUE_FIELD,
-    field_names.HAZARDOUS_WASTE_LOW_INCOME_FIELD,
-    field_names.TSDF_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.TSDF_FIELD,
-    field_names.SUPERFUND_LOW_INCOME_FIELD,
-    field_names.NPL_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.NPL_FIELD,
-    field_names.RMP_LOW_INCOME_FIELD,
-    field_names.RMP_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.RMP_FIELD,
-    field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD,
-    field_names.WASTEWATER_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.WASTEWATER_FIELD,
-    field_names.ASTHMA_LOW_INCOME_FIELD,
-    field_names.ASTHMA_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.ASTHMA_FIELD,
-    field_names.DIABETES_LOW_INCOME_FIELD,
-    field_names.DIABETES_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.DIABETES_FIELD,
-    field_names.HEART_DISEASE_LOW_INCOME_FIELD,
-    field_names.HEART_DISEASE_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.HEART_DISEASE_FIELD,
-    field_names.LOW_LIFE_EXPECTANCY_LOW_INCOME_FIELD,
-    field_names.LOW_LIFE_EXPECTANCY_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.LIFE_EXPECTANCY_FIELD,
-    field_names.LOW_MEDIAN_INCOME_LOW_HS_EDUCATION_FIELD,
-    field_names.LOW_MEDIAN_INCOME_AS_PERCENT_OF_AMI_FIELD
-    + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.MEDIAN_INCOME_AS_PERCENT_OF_AMI_FIELD,
-    field_names.LINGUISTIC_ISOLATION_LOW_HS_EDUCATION_FIELD,
-    field_names.LINGUISTIC_ISO_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.LINGUISTIC_ISO_FIELD,
-    field_names.UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD,
-    field_names.UNEMPLOYMENT_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.UNEMPLOYMENT_FIELD,
-    field_names.POVERTY_LOW_HS_EDUCATION_FIELD,
+    field_names.POVERTY_LESS_THAN_200_FPL_FIELD,
    field_names.POVERTY_LESS_THAN_200_FPL_FIELD
    + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.EXPECTED_AGRICULTURE_LOSS_RATE_FIELD,
+    field_names.EXPECTED_AGRICULTURE_LOSS_RATE_FIELD
+    + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.EXPECTED_AGRICULTURE_LOSS_RATE_LOW_INCOME_FIELD,
+    field_names.EXPECTED_BUILDING_LOSS_RATE_FIELD,
+    field_names.EXPECTED_BUILDING_LOSS_RATE_FIELD
+    + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_FIELD,
+    field_names.EXPECTED_POPULATION_LOSS_RATE_FIELD,
+    field_names.EXPECTED_POPULATION_LOSS_RATE_FIELD
+    + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_FIELD,
+    field_names.ENERGY_BURDEN_FIELD,
+    field_names.ENERGY_BURDEN_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.ENERGY_BURDEN_LOW_INCOME_FIELD,
+    field_names.PM25_FIELD,
+    field_names.PM25_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.PM25_EXPOSURE_LOW_INCOME_FIELD,
+    field_names.DIESEL_FIELD,
+    field_names.DIESEL_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.DIESEL_PARTICULATE_MATTER_LOW_INCOME_FIELD,
+    field_names.TRAFFIC_FIELD,
+    field_names.TRAFFIC_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.TRAFFIC_PROXIMITY_LOW_INCOME_FIELD,
+    field_names.HOUSING_BURDEN_FIELD,
+    field_names.HOUSING_BURDEN_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.HOUSING_BURDEN_LOW_INCOME_FIELD,
+    field_names.LEAD_PAINT_FIELD,
+    field_names.LEAD_PAINT_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD,
+    field_names.MEDIAN_HOUSE_VALUE_FIELD,
+    field_names.MEDIAN_HOUSE_VALUE_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.TSDF_FIELD,
+    field_names.TSDF_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.HAZARDOUS_WASTE_LOW_INCOME_FIELD,
+    field_names.NPL_FIELD,
+    field_names.NPL_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.SUPERFUND_LOW_INCOME_FIELD,
+    field_names.RMP_FIELD,
+    field_names.RMP_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.RMP_LOW_INCOME_FIELD,
+    field_names.WASTEWATER_FIELD,
+    field_names.WASTEWATER_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD,
+    field_names.ASTHMA_FIELD,
+    field_names.ASTHMA_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.ASTHMA_LOW_INCOME_FIELD,
+    field_names.DIABETES_FIELD,
+    field_names.DIABETES_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.DIABETES_LOW_INCOME_FIELD,
+    field_names.HEART_DISEASE_FIELD,
+    field_names.HEART_DISEASE_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.HEART_DISEASE_LOW_INCOME_FIELD,
+    field_names.LIFE_EXPECTANCY_FIELD,
+    field_names.LOW_LIFE_EXPECTANCY_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.LOW_LIFE_EXPECTANCY_LOW_INCOME_FIELD,
+    field_names.MEDIAN_INCOME_AS_PERCENT_OF_AMI_FIELD,
+    field_names.LOW_MEDIAN_INCOME_AS_PERCENT_OF_AMI_FIELD
+    + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.LOW_MEDIAN_INCOME_LOW_HS_EDUCATION_FIELD,
+    field_names.LINGUISTIC_ISO_FIELD,
+    field_names.LINGUISTIC_ISOLATION_LOW_HS_EDUCATION_FIELD,
+    field_names.UNEMPLOYMENT_FIELD,
+    field_names.UNEMPLOYMENT_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.LINGUISTIC_ISO_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.POVERTY_LESS_THAN_100_FPL_FIELD,
    field_names.POVERTY_LESS_THAN_100_FPL_FIELD
    + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.POVERTY_LESS_THAN_200_FPL_FIELD,
-    field_names.POVERTY_LESS_THAN_100_FPL_FIELD,
-    field_names.HIGH_SCHOOL_ED_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.POVERTY_LOW_HS_EDUCATION_FIELD,
    field_names.HIGH_SCHOOL_ED_FIELD,
+    field_names.HIGH_SCHOOL_ED_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
+    field_names.LOW_HS_EDUCATION_FIELD,
+    field_names.THRESHOLD_COUNT,
+    field_names.UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD,
    field_names.COMBINED_UNEMPLOYMENT_2010,
+    field_names.CENSUS_DECENNIAL_UNEMPLOYMENT_FIELD_2009,
    field_names.COMBINED_POVERTY_LESS_THAN_100_FPL_FIELD_2010,
    field_names.ISLAND_AREAS_UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD,
    field_names.ISLAND_AREAS_POVERTY_LOW_HS_EDUCATION_FIELD,
    field_names.ISLAND_AREAS_LOW_MEDIAN_INCOME_LOW_HS_EDUCATION_FIELD,
+    field_names.ISLAND_AREAS_LOW_HS_EDUCATION_FIELD,
 ]
--- a/data/data-pipeline/data_pipeline/etl/score/etl_score_post.py
+++ b/data/data-pipeline/data_pipeline/etl/score/etl_score_post.py
@ -129,7 +129,7 @@ class PostScoreETL(ExtractTransformLoad):
        new_df = initial_states_df.rename(
            columns={
                "fips": "State Code",
-                "state_name": field_names.STATE_FIELD,
+                "state_name": "State Name",
                "state_abbreviation": "State Abbreviation",
            }
        )
@ -206,9 +206,7 @@ class PostScoreETL(ExtractTransformLoad):
        tiles_score_column_titles = list(constants.TILES_SCORE_COLUMNS.keys())

        # filter the columns on full score
-        score_tiles = score_county_state_merged_df[
-            tiles_score_column_titles
-        ].copy()
+        score_tiles = score_county_state_merged_df[tiles_score_column_titles]

        score_tiles[constants.TILES_SCORE_FLOAT_COLUMNS] = score_tiles[
            constants.TILES_SCORE_FLOAT_COLUMNS
@ -240,44 +238,9 @@ class PostScoreETL(ExtractTransformLoad):
    def _create_downloadable_data(
        self, score_county_state_merged_df: pd.DataFrame
    ) -> pd.DataFrame:
-        df = score_county_state_merged_df[
+        return score_county_state_merged_df[
            constants.DOWNLOADABLE_SCORE_COLUMNS
-        ].copy()
-
-        float_columns = df.select_dtypes(include=["float64"]).columns
-
-        # convert percentile_columns
-        percent_target_columns = []
-        for x in float_columns:
-            for col in constants.PERCENT_PREFIXES_SUFFIXES:
-                if col in x:
-                    percent_target_columns.append(x)
-
-        df[percent_target_columns] = df[percent_target_columns].apply(
-            func=lambda series: floor_series(
-                series=series * 100,
-                number_of_decimals=constants.TILES_ROUND_NUM_DECIMALS,
-            )
-        )
-
-        # # convert percentile_columns
-        # non_percentile_float_columns = [
-        #     x
-        #     for x in float_columns
-        #     if x not in constants.PERCENT_PREFIXES_SUFFIXES
-        # ]
-
-        # df[non_percentile_float_columns] = df[
-        #     non_percentile_float_columns
-        # ].apply(
-        #     func=lambda series: floor_series(
-        #         series=series,
-        #         number_of_decimals=constants.TILES_ROUND_NUM_DECIMALS,
-        #     ),
-        #     axis=0,
-        # )
-
-        return df
+        ]

    def transform(self) -> None:
        logger.info("Transforming data sources for Score + County CSVs")
@ -334,7 +297,7 @@ class PostScoreETL(ExtractTransformLoad):
        # Rename score column
        downloadable_df_copy = downloadable_df.rename(
            columns={
-                field_names.SCORE_L_COMMUNITIES: "Identified as disadvantaged (v0.1)"
+                field_names.SCORE_L_COMMUNITIES: "Community of focus (v0.1)"
            },
            inplace=False,
        )