User can run Geospatial functions to filter the data.
In the following example, there are two tables: 'sample_cities' and 'sample_streets'. Both contain a geometry column 'cityShape' and 'streetShape' respectively. The following steps return the street name and city name, if 'cityShape' contains a 'streetShape'.
# Create GeoDataFrame on tables containing Geospatial data.
cities = GeoDataFrame("sample_cities")
streets = GeoDataFrame("sample_streets")
# First we must perform cross join between the two GeoDataFrames. city_streets = cities.join(streets, how="cross")
# Apply slice filter and invoke Geospatial function contains in the filter and use the same as predicate.
city_streets[city_streets.cityShape.contains(city_streets.streetShape) == 1].select("streetName", "cityName")
# Slice filtering with Geometry Type object passed for comparison. # Create a LineString object. line_object = LineString([(2,2), (3,2), (4,1)]) streets[streets.streetShape == line_object]
- User can use 'city_streets.geometry' property to invoke GeoDataFrameColumn method instead of 'city_streets.cityShape', if geometry points to 'cityShape'.
- User can pass column name as string, that is, 'streetShape' instead of GeoDataFrameColumn object of the column.