GeoSeries.
distance
Returns a Series containing the distance to aligned other.
Series
The operation works on a 1-to-1 row-wise manner:
The Geoseries (elementwise) or geometric object to find the distance to.
If True, automatically aligns GeoSeries based on their indices. If False, the order of elements is preserved.
Examples
>>> from shapely.geometry import Polygon, LineString, Point >>> s = geopandas.GeoSeries( ... [ ... Polygon([(0, 0), (1, 0), (1, 1)]), ... Polygon([(0, 0), (-1, 0), (-1, 1)]), ... LineString([(1, 1), (0, 0)]), ... Point(0, 0), ... ], ... ) >>> s2 = geopandas.GeoSeries( ... [ ... Polygon([(0.5, 0.5), (1.5, 0.5), (1.5, 1.5), (0.5, 1.5)]), ... Point(3, 1), ... LineString([(1, 0), (2, 0)]), ... Point(0, 1), ... ], ... index=range(1, 5), ... )
>>> s 0 POLYGON ((0.00000 0.00000, 1.00000 0.00000, 1.... 1 POLYGON ((0.00000 0.00000, -1.00000 0.00000, -... 2 LINESTRING (1.00000 1.00000, 0.00000 0.00000) 3 POINT (0.00000 0.00000) dtype: geometry
>>> s2 1 POLYGON ((0.50000 0.50000, 1.50000 0.50000, 1.... 2 POINT (3.00000 1.00000) 3 LINESTRING (1.00000 0.00000, 2.00000 0.00000) 4 POINT (0.00000 1.00000) dtype: geometry
We can check the distance of each geometry of GeoSeries to a single geometry:
>>> point = Point(-1, 0) >>> s.distance(point) 0 1.0 1 0.0 2 1.0 3 1.0 dtype: float64
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 use elements with the same index using align=True or ignore index and use elements based on their matching order using align=False:
align=True
align=False
>>> s.distance(s2, align=True) 0 NaN 1 0.707107 2 2.000000 3 1.000000 4 NaN dtype: float64
>>> s.distance(s2, align=False) 0 0.000000 1 3.162278 2 0.707107 3 1.000000 dtype: float64