def export(): # locations.csv df_loc = inject_population(load_locations().reset_index()) df_loc['population_year'] = df_loc['population_year'].round().astype( 'Int64') df_loc['population'] = df_loc['population'].round().astype('Int64') df_loc.to_csv(os.path.join(OUTPUT_PATH, 'locations.csv'), index=False) # The rest of the CSVs return standard_export(load_standardized(), OUTPUT_PATH)
def export(filename): # locations.csv df_loc = inject_population(load_locations()) df_loc['population_year'] = df_loc['population_year'].round().astype( 'Int64') df_loc['population'] = df_loc['population'].round().astype('Int64') df_loc.to_csv(os.path.join(OUTPUT_PATH, 'locations.csv'), index=False) # The rest of the CSVs return standard_export(load_standardized(filename), OUTPUT_PATH, "COVID-2019 - ECDC (2020)")
def export(df_merged): df_loc = df_merged[["Country/Region", "location"]].drop_duplicates() df_loc = df_loc.merge(load_owid_continents(), on="location", how="left") df_loc = inject_population(df_loc) df_loc["population_year"] = df_loc["population_year"].round().astype( "Int64") df_loc["population"] = df_loc["population"].round().astype("Int64") df_loc.to_csv(os.path.join(OUTPUT_PATH, "locations.csv"), index=False) # The rest of the CSVs return standard_export(load_standardized(df_merged), OUTPUT_PATH, DATASET_NAME)
def export(filename): # locations.csv # load merged so that we exclude any past country names that exist in # ecdc_country_standardized but not in the current dataset df_loc = _load_merged(filename)[['countriesAndTerritories', 'location']] \ .drop_duplicates() df_loc = df_loc.merge(load_owid_continents(), on='location', how='left') df_loc = inject_population(df_loc) df_loc['population_year'] = df_loc['population_year'].round().astype( 'Int64') df_loc['population'] = df_loc['population'].round().astype('Int64') df_loc.to_csv(os.path.join(OUTPUT_PATH, 'locations.csv'), index=False) # The rest of the CSVs return standard_export(load_standardized(filename), OUTPUT_PATH, DATASET_NAME)