Python for PostGIS
Table of Contents
I authored two Python modules that make it easier to use geospatial Python from within your PostgreSQL database.
plpygis
>plpygis
#
plpygis
is a Python conveter to and from the PostGIS geometry type, WKB, EWKB, GeoJSON and Shapely geometries and additionally supports __geo_interface__
. plpygis
is intended for use in PL/Python functions, making the entire Python geospatial ecosystem available in SQL queries.
PL/Python for PostGIS
A simple Python function using plpygis
would be:
CREATE OR REPLACE FUNCTION swap(geom geometry)
RETURNS geometry
AS $$
# swaps the x and y coordinates of a point
from plpygis import Geometry, Point
old_point = Geometry(geom)
new_point = Point([old_point.y, old_point.x])
return new_point
$$ LANGUAGE plpython3u;
The magic happens with Geometry(geom)
, which is automatically converts from PostGIS’s geometry
type, and the return
statement, which automatically converts back to a PostGIS geometry
.
The function above can be called with a normal SQL statement:
SELECT swap(geom) FROM city;
I spoke about plpygis at FOSS4G 2017 in Boston. The slides are here and a video of the talk is also available.
Documentation
geofdw
>geofdw
#
geofdw
is a collection of PostGIS-related foreign data wrappers for PostgreSQL written in Python using the multicorn extension. By using a FDW, you can access spatial data through Postgres tables without having to import the data first, which can be useful for dynamic or non-tabular data available through web services.
Various PostGIS-related FDWs