def write_local_files_debug(self): """Downloads and writes the tables to the local file system as csv and json files. This is only for debugging/convenience, and should not be used in production.""" metadata = fetch_acs_metadata(self.base_acs_url) var_map = parse_acs_metadata(metadata, list(GROUPS.keys())) by_hisp_and_race_json = fetch_acs_group(self.base_acs_url, HISPANIC_BY_RACE_CONCEPT, var_map, 2, self.county_level) sex_by_age_frames = {} for concept in SEX_BY_AGE_CONCEPTS_TO_RACE: json_string = fetch_acs_group(self.base_acs_url, concept, var_map, 2, self.county_level) frame = gcs_to_bq_util.values_json_to_dataframe(json_string) sex_by_age_frames[concept] = update_col_types(frame) race_and_hispanic_frame = gcs_to_bq_util.values_json_to_dataframe( by_hisp_and_race_json) race_and_hispanic_frame = update_col_types(race_and_hispanic_frame) race_and_hispanic_frame = standardize_frame( race_and_hispanic_frame, get_vars_for_group(HISPANIC_BY_RACE_CONCEPT, var_map, 2), [HISPANIC_COL, RACE_COL], self.county_level, POPULATION_COL) frames = { self.get_table_name_by_race(): self.get_all_races_frame(race_and_hispanic_frame), self.get_table_name_by_sex_age_race(): self.get_sex_by_age_and_race(var_map, sex_by_age_frames) } for key, df in frames.items(): df.to_csv("table_" + key + ".csv", index=False) df.to_json("table_" + key + ".json", orient="records")
def testStandarizeFrameTwoDims(self): """Tests standardizing an ACS DataFrame""" metadata = census.parse_acs_metadata( self._fake_metadata, ["B02001", "B01001"]) group_vars = census.get_vars_for_group("SEX BY AGE", metadata, 2) df = gcs_to_bq_util.values_json_to_dataframe( json.dumps(self._fake_sex_by_age_data)) df = census.standardize_frame( df, group_vars, ["sex", "age"], False, "population") expected_df = gcs_to_bq_util.values_json_to_dataframe( json.dumps(self._expected_sex_by_age_data)).reset_index(drop=True) assert_frame_equal(expected_df, df)