geopandas.GeoSeries.contains_properly#

GeoSeries.contains_properly(other, align=None)[source]#

Returns a Series of dtype('bool') with value True for each aligned geometry that is completely inside other, with no common boundary points.

Geometry A contains geometry B properly if B intersects the interior of A but not the boundary (or exterior). This means that a geometry A does not “contain properly” itself, which contrasts with the contains() method, where common points on the boundary are allowed.

The operation works on a 1-to-1 row-wise manner:

../../../_images/binary_op-01.svg
Parameters:
otherGeoSeries or geometric object

The GeoSeries (elementwise) or geometric object to test if it is contained.

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)

Notes

This method works in a row-wise manner. It does not check if an element of one GeoSeries contains_properly any element of the other one.

Examples

>>> from shapely.geometry import Polygon, LineString, Point
>>> s = geopandas.GeoSeries(
...     [
...         Polygon([(0, 0), (1, 1), (0, 1)]),
...         LineString([(0, 0), (0, 2)]),
...         LineString([(0, 0), (0, 1)]),
...         Point(0, 1),
...     ],
...     index=range(0, 4),
... )
>>> s2 = geopandas.GeoSeries(
...     [
...         Polygon([(0, 0), (2, 2), (0, 2)]),
...         Polygon([(0, 0), (1, 2), (0, 2)]),
...         LineString([(0, 0), (0, 2)]),
...         Point(0, 1),
...     ],
...     index=range(1, 5),
... )
>>> s
0    POLYGON ((0 0, 1 1, 0 1, 0 0))
1             LINESTRING (0 0, 0 2)
2             LINESTRING (0 0, 0 1)
3                       POINT (0 1)
dtype: geometry
>>> s2
1    POLYGON ((0 0, 2 2, 0 2, 0 0))
2    POLYGON ((0 0, 1 2, 0 2, 0 0))
3             LINESTRING (0 0, 0 2)
4                       POINT (0 1)
dtype: geometry

We can check if each geometry of GeoSeries contains a single geometry:

../../../_images/binary_op-03.svg
>>> point = Point(0, 1)
>>> s.contains_properly(point)
0    False
1     True
2    False
3     True
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 using align=False:

../../../_images/binary_op-02.svg
>>> s2.contains_properly(s, align=True)
0    False
1    False
2    False
3     True
4    False
dtype: bool
>>> s2.contains_properly(s, align=False)
1    False
2    False
3    False
4     True
dtype: bool

Compare it to the result of contains():

>>> s2.contains(s, align=False)
1     True
2    False
3     True
4     True
dtype: bool