def district_results(self, state_lookup: str, geo_queryset: QuerySet) -> List[dict]:
        # Returns congressional district results formatted for map

        state_pop_rows = PopCongressionalDistrict.objects.all().values()
        populations = {
            f"{row['state_code']}{row['congressional_district']}": row["latest_population"] for row in state_pop_rows
        }

        results = []
        for x in geo_queryset:
            shape_code = code_to_state.get(x[state_lookup])["fips"] + pad_codes(
                self.geo_layer.value, x["code_as_float"]
            )
            per_capita = None
            population = populations.get(shape_code)
            if population:
                per_capita = (Decimal(x["transaction_amount"]) / Decimal(population)).quantize(Decimal(".01"))

            results.append(
                {
                    "shape_code": shape_code,
                    "aggregated_amount": x["transaction_amount"],
                    "display_name": x[state_lookup] + "-" + pad_codes(self.geo_layer.value, x["code_as_float"]),
                    "population": population,
                    "per_capita": per_capita,
                }
            )

        return results
Beispiel #2
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    def district_results(self, state_lookup):
        # Returns congressional district results formatted for map
        results = [{
            'shape_code': code_to_state.get(x[state_lookup])['fips'] + pad_codes(self.geo_layer, x['code_as_float']),
            'aggregated_amount': x['transaction_amount'],
            'display_name': x[state_lookup] + '-' + pad_codes(self.geo_layer, x['code_as_float'])
        } for x in self.geo_queryset]

        return results
    def district_results(self, state_lookup):
        # Returns congressional district results formatted for map
        results = [{
            'shape_code': code_to_state.get(x[state_lookup])['fips'] + pad_codes(self.geo_layer, x['code_as_float']),
            'aggregated_amount': x['transaction_amount'],
            'display_name': x[state_lookup] + '-' + pad_codes(self.geo_layer, x['code_as_float'])
        } for x in self.geo_queryset]

        return results
    def district_results(self, state_lookup):
        # Returns congressional district results formatted for map
        results = [
            {
                "shape_code": code_to_state.get(x[state_lookup])["fips"]
                + pad_codes(self.geo_layer, x["code_as_float"]),
                "aggregated_amount": x["transaction_amount"],
                "display_name": x[state_lookup] + "-" + pad_codes(self.geo_layer, x["code_as_float"]),
            }
            for x in self.geo_queryset
        ]

        return results
    def county_results(self, state_lookup: str, county_name: str, geo_queryset: QuerySet) -> List[dict]:
        # Returns county results formatted for map
        state_pop_rows = PopCounty.objects.exclude(county_number="000").values()
        populations = {f"{row['state_code']}{row['county_number']}": row["latest_population"] for row in state_pop_rows}

        results = []
        for x in geo_queryset:
            shape_code = code_to_state.get(x[state_lookup])["fips"] + pad_codes(
                self.geo_layer.value, x["code_as_float"]
            )
            per_capita = None
            population = populations.get(shape_code)
            if population:
                per_capita = (Decimal(x["transaction_amount"]) / Decimal(population)).quantize(Decimal(".01"))

            results.append(
                {
                    "shape_code": shape_code,
                    "aggregated_amount": x["transaction_amount"],
                    "display_name": x[county_name].title() if x[county_name] is not None else x[county_name],
                    "population": population,
                    "per_capita": per_capita,
                }
            )

        return results
Beispiel #6
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    def county_results(self, state_lookup, county_name):
        # Returns county results formatted for map
        results = [{
            'shape_code': code_to_state.get(x[state_lookup])['fips'] + pad_codes(self.geo_layer, x['code_as_float']),
            'aggregated_amount': x['transaction_amount'],
            'display_name': x[county_name].title() if x[county_name] is not None else x[county_name]
        } for x in self.geo_queryset]

        return results
    def county_results(self, state_lookup, county_name):
        # Returns county results formatted for map
        results = [{
            'shape_code': code_to_state.get(x[state_lookup])['fips'] + pad_codes(self.geo_layer, x['code_as_float']),
            'aggregated_amount': x['transaction_amount'],
            'display_name': x[county_name].title() if x[county_name] is not None else x[county_name]
        } for x in self.geo_queryset]

        return results
    def county_results(self, state_lookup, county_name):
        # Returns county results formatted for map
        results = [
            {
                "shape_code": code_to_state.get(x[state_lookup])["fips"]
                + pad_codes(self.geo_layer, x["code_as_float"]),
                "aggregated_amount": x["transaction_amount"],
                "display_name": x[county_name].title() if x[county_name] is not None else x[county_name],
            }
            for x in self.geo_queryset
        ]

        return results