Fixing problem with lead paint

client/src/components/AreaDetail/AreaDetail.tsx

@@ -443,8 +443,8 @@ const AreaDetail = ({properties}: IAreaDetailProps) => {
     label: intl.formatMessage(EXPLORE_COPY.SIDE_PANEL_INDICATORS.LEAD_PAINT),
     description: intl.formatMessage(EXPLORE_COPY.SIDE_PANEL_INDICATOR_DESCRIPTION.LEAD_PAINT),
     type: 'percentile',
-    value: properties.hasOwnProperty(constants.LEAD_PAINT_PERCENTILE) ?
+    value: properties.hasOwnProperty(constants.LEAD_PAINT_HOUSE_VALUE_FIELD_PCTILE) ?
-      properties[constants.LEAD_PAINT_PERCENTILE] : null,
+      properties[constants.LEAD_PAINT_HOUSE_VALUE_FIELD_PCTILE] : null,
     isDisadvagtaged: properties[constants.IS_EXCEEDS_THRESH_FOR_LEAD_PAINT_AND_MEDIAN_HOME_VAL] ?
       properties[constants.IS_EXCEEDS_THRESH_FOR_LEAD_PAINT_AND_MEDIAN_HOME_VAL] : null,
   };

client/src/data/constants.tsx

@@ -151,7 +151,7 @@ export const IS_EXCEEDS_THRESH_IMPERVIOUS = 'IS_ET';
 export const KITCHEN_PLUMB_PERCENTILE = 'KP_PFS';
 export const IS_EXCEEDS_THRESH_KITCHEN_PLUMB = 'KP_ET';
 
-export const LEAD_PAINT_PERCENTILE = 'LPF_PFS';
+export const LEAD_PAINT_HOUSE_VALUE_FIELD_PCTILE = 'LPHV_PFS';
 export const IS_EXCEEDS_THRESH_FOR_LEAD_PAINT_AND_MEDIAN_HOME_VAL = 'LPP_ET';
 
 

data/data-pipeline/data_pipeline/etl/score/constants.py

@@ -252,6 +252,7 @@ TILES_SCORE_COLUMNS = {
     field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED_DONUTS: "AJDLI_ET",
     field_names.LEAD_PAINT_FIELD
     + field_names.PERCENTILE_FIELD_SUFFIX: "LPF_PFS",
+    field_names.LEAD_PAINT_HOUSE_VALUE_FIELD_PCTILE: "LPHV_PFS",
     field_names.NO_KITCHEN_OR_INDOOR_PLUMBING_FIELD
     + field_names.PERCENTILE_FIELD_SUFFIX: "KP_PFS",
     field_names.NPL_FIELD + field_names.PERCENTILE_FIELD_SUFFIX: "NPL_PFS",

data/data-pipeline/data_pipeline/score/field_names.py

@@ -126,6 +126,11 @@ PM25_FIELD = "PM2.5 in the air"
 OZONE_FIELD = "Ozone"
 TRAFFIC_FIELD = "Traffic proximity and volume"
 LEAD_PAINT_FIELD = "Percent pre-1960s housing (lead paint indicator)"
+LEAD_PAINT_HOUSE_VALUE_FIELD_PCTILE = (
+    LEAD_PAINT_FIELD + ", and"
+    f" the median house value is less than {MEDIAN_HOUSE_VALUE_PERCENTILE}th "
+    f"percentile " + PERCENTILE_FIELD_SUFFIX
+)
 WASTEWATER_FIELD = "Wastewater discharge"
 AGGREGATION_POLLUTION_FIELD = "Pollution Burden"
 RMP_FIELD = "Proximity to Risk Management Plan (RMP) facilities"

data/data-pipeline/data_pipeline/score/score_narwhal.py

@@ -409,6 +409,25 @@ class ScoreNarwhal(Score):
             <= self.MEDIAN_HOUSE_VALUE_THRESHOLD
         )
 
+        # Create a field only used for output. This field is:
+        # (a) the percentile of lead paint, but
+        # (b) it is set to None for all tracts with >90th percentile median house value.
+        self.df[field_names.LEAD_PAINT_HOUSE_VALUE_FIELD_PCTILE] = np.where(
+            # If house value <= 90th percentile,
+            self.df[
+                field_names.MEDIAN_HOUSE_VALUE_FIELD
+                + field_names.PERCENTILE_FIELD_SUFFIX
+            ]
+            <= self.MEDIAN_HOUSE_VALUE_THRESHOLD,
+            # Then show lead paint percentile.
+            self.df[
+                field_names.LEAD_PAINT_FIELD
+                + field_names.PERCENTILE_FIELD_SUFFIX
+            ],
+            # Otherwise, set to nothing.
+            None,
+        )
+
         self.df[field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD] = (
             self.df[field_names.LEAD_PAINT_PROXY_PCTILE_THRESHOLD]
             & self.df[field_names.FPL_200_SERIES_IMPUTED_AND_ADJUSTED]