By J. A. Cooper -- https://github.com/cooperjaXC
Crosswalks for easy python conversions of USA ZIP Codes.
- ZIP Codes → ZCTAs
- Input
- USA ZIP Codes (string)
- Outputs:
- 5 digit US Census Zip Code Tabulation Areas (ZCTAs) (string)
- ZCTA's latitude & longitude centroid coordinates (list)
- ZIP Codes → ZCTAs
- Input
- ZCTAs (string)
- Outputs:
- Each corresponding 5 digit postal Zip Codes (list)
Operates with both individual ZIP Codes and pandas dataframes. Compatible with both US Census year 2010 and 2020 (default) ZCTAs.
zip_code_crosswalk- Takes a (1) postal ZIP Code and transforms it into a Zip Code Tract Area (ZCTAs), the US Census-defined polygonal region for a ZIP Code. Compatible with both 2010 and 2020 ZCTAs.df_zip_crosswalk- Takes a Pandas Dataframe with a ZIP-Code field and returns a ZCTA field using the crosswalk function.reverse_zcta_crosswalk- Takes a (1) Zip Code Tract Area (ZCTAs) and returns all its associated postal ZIP Codes. Compatible with both 2010 and 2020 ZCTAs.df_reverse_zcta_crosswalk- Takes a Pandas Dataframe with a ZCTA field and returns a field with a list of associated ZIP-Codes. Uses the reverse crosswalk function.lat_lon_centroid- Takes a (1) postal ZIP Code and returns its ZCTA's spatial coordinates in a [latitude, longitude] format based on US Census TIGER shapefiles. Compatible with both 2010 and 2020 ZCTAs.df_latlon_centroids- Takes a Pandas Dataframe with a ZIP-Code field and returns fields with the ZCTA's central latitude and longitude coordinates using the centroid function.