If you have a CSV or TSV file of postal code data, you can load this into MapIt directly. We’ll assume you have installed MapIt as per the installation instructions and that you have a CSV file containing postal codes in the first column, latitude in the third column, and longitude in the fourth column, and that it has a header row.
There is an import script that will look at the CSV file and create entries from it. We’ll call it as follows:
That’s all there is to it in this case, and it will update you on progress every 1,000 imported postal codes.
Other options this import script have are:
--code-field N– The CSV column containing the postal code (defaults to 1)
--coord-field-lon N– The CSV column containing the longitude (or X) co-ordinate (defaults to latitude column + 1)
--no-location– Set if you don’t have the location of the postal codes, only a list (still useful for checking validity of postal codes)
--sridSRID – Set to the SRID of the co-ordinates, if not WGS-84 (4326)
--strip– Set to strip spaces from the postal code before importing
--tabs– Set if the file uses tabs as a separator (TSV) rather than commas
So to import a TSV file, using the OSGB co-ordinate system (which uses eastings and northings instead of longitude and latitude), with the easting in column 5, the northing in column 7, and the postal code in column 10, with no header row, you would do:
If you get the error
django.db.utils.DatabaseError: invalid byte sequence for
encoding "UTF8": 0x00 at some point, you are probably being bitten by this
bug - the solution is to add
standard_conforming_strings = off to your
postgresql.conf file, or to apply
the patch in that ticket.