geopandas.GeoSeries.overlaps#

GeoSeries.overlaps(other, align=True)#

对所有重叠的对齐几何返回True 其他 ,否则为False。

如果几何图形有多个公共点,但不是所有的点,具有相同的尺寸,并且几何图形内部的交点具有与几何图形本身相同的尺寸,则这些几何图形是重叠的。

该操作以1对1的行方式工作:

../../../_images/binary_op-01.svg
参数
otherGeoSeries或几何对象

The GeoSeries (elementwise) or geometric object to test if overlaps.

align布尔值(默认为True)

如果为True,则根据其索引自动对齐GeoSeries。如果为False,则保留元素的顺序。

退货
系列(布尔图)

注意事项

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

示例

>>> from shapely.geometry import Polygon, LineString, MultiPoint, Point
>>> s = geopandas.GeoSeries(
...     [
...         Polygon([(0, 0), (2, 2), (0, 2)]),
...         Polygon([(0, 0), (2, 2), (0, 2)]),
...         LineString([(0, 0), (2, 2)]),
...         MultiPoint([(0, 0), (0, 1)]),
...     ],
... )
>>> s2 = geopandas.GeoSeries(
...     [
...         Polygon([(0, 0), (2, 0), (0, 2)]),
...         LineString([(0, 1), (1, 1)]),
...         LineString([(1, 1), (3, 3)]),
...         Point(0, 1),
...     ],
...     index=range(1, 5),
... )
>>> s
0    POLYGON ((0.00000 0.00000, 2.00000 2.00000, 0....
1    POLYGON ((0.00000 0.00000, 2.00000 2.00000, 0....
2        LINESTRING (0.00000 0.00000, 2.00000 2.00000)
3        MULTIPOINT (0.00000 0.00000, 0.00000 1.00000)
dtype: geometry
>>> s2
1    POLYGON ((0.00000 0.00000, 2.00000 0.00000, 0....
2        LINESTRING (0.00000 1.00000, 1.00000 1.00000)
3        LINESTRING (1.00000 1.00000, 3.00000 3.00000)
4                              POINT (0.00000 1.00000)
dtype: geometry

我们可以检查GeoSeries的每个几何体是否与单个几何体重叠:

../../../_images/binary_op-03.svg
>>> polygon = Polygon([(0, 0), (1, 0), (1, 1), (0, 1)])
>>> s.overlaps(polygon)
0     True
1     True
2    False
3    False
dtype: bool

我们还可以逐行检查两个GeoSeries。上面的GeoSeries有不同的指数。我们可以基于索引值对齐这两个GeoSeries,并使用 align=True 或忽略索引并根据元素的匹配顺序使用 align=False

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