geopandas.GeoSeries.covers#
- GeoSeries.covers(other, align=None)[source]#
Returns a
Series
ofdtype('bool')
with valueTrue
for each aligned geometry that is entirely covering other.An object A is said to cover another object B if no points of B lie in the exterior of A. If either object is empty, this operation returns
False
.The operation works on a 1-to-1 row-wise manner:
See https://lin-ear-th-inking.blogspot.com/2007/06/subtleties-of-ogc-covers-spatial.html for reference.
- Parameters:
- otherGeoseries or geometric object
The Geoseries (elementwise) or geometric object to check is being covered.
- alignbool | None (default None)
If True, automatically aligns GeoSeries based on their indices. If False, the order of elements is preserved. None defaults to True.
- Returns:
- Series (bool)
See also
Notes
This method works in a row-wise manner. It does not check if an element of one GeoSeries
covers
any element of the other one.Examples
>>> from shapely.geometry import Polygon, LineString, Point >>> s = geopandas.GeoSeries( ... [ ... Polygon([(0, 0), (2, 0), (2, 2), (0, 2)]), ... Polygon([(0, 0), (2, 2), (0, 2)]), ... LineString([(0, 0), (2, 2)]), ... Point(0, 0), ... ], ... ) >>> s2 = geopandas.GeoSeries( ... [ ... Polygon([(0.5, 0.5), (1.5, 0.5), (1.5, 1.5), (0.5, 1.5)]), ... Polygon([(0, 0), (2, 0), (2, 2), (0, 2)]), ... LineString([(1, 1), (1.5, 1.5)]), ... Point(0, 0), ... ], ... index=range(1, 5), ... )
>>> s 0 POLYGON ((0 0, 2 0, 2 2, 0 2, 0 0)) 1 POLYGON ((0 0, 2 2, 0 2, 0 0)) 2 LINESTRING (0 0, 2 2) 3 POINT (0 0) dtype: geometry
>>> s2 1 POLYGON ((0.5 0.5, 1.5 0.5, 1.5 1.5, 0.5 1.5, ... 2 POLYGON ((0 0, 2 0, 2 2, 0 2, 0 0)) 3 LINESTRING (1 1, 1.5 1.5) 4 POINT (0 0) dtype: geometry
We can check if each geometry of GeoSeries covers a single geometry:
>>> poly = Polygon([(0, 0), (2, 0), (2, 2), (0, 2)]) >>> s.covers(poly) 0 True 1 False 2 False 3 False dtype: bool
We can also check two GeoSeries against each other, row by row. The GeoSeries above have different indices. We can either align both GeoSeries based on index values and compare elements with the same index using
align=True
or ignore index and compare elements based on their matching order usingalign=False
:>>> s.covers(s2, align=True) 0 False 1 False 2 False 3 False 4 False dtype: bool
>>> s.covers(s2, align=False) 0 True 1 False 2 True 3 True dtype: bool