jiayuasu commented on code in PR #2732:
URL: https://github.com/apache/sedona/pull/2732#discussion_r2929308396
##########
python/sedona/spark/geopandas/base.py:
##########
@@ -2363,6 +2363,263 @@ def distance(self, other, align=None):
"""
return _delegate_to_geometry_column("distance", self, other, align)
+ def frechet_distance(self, other, align=None, densify=None):
+ """Returns a ``Series`` containing the discrete Fréchet distance to
aligned `other`.
+
+ The Fréchet distance is a measure of similarity: it is the greatest
distance
+ between any point in A and the closest point in B. The discrete
distance is an
+ approximation of this metric: only vertices are considered. The
parameter
+ ``densify`` makes this approximation less coarse by splitting the line
segments
+ between vertices before computing the distance.
+
+ The operation works on a 1-to-1 row-wise manner.
+
+ Parameters
+ ----------
+ other : GeoSeries or geometric object
+ The GeoSeries (elementwise) or geometric object to find the
+ distance to.
+ align : bool | None (default None)
+ If True, automatically aligns GeoSeries based on their indices.
None defaults to True.
+ If False, the order of elements is preserved.
+ densify : float, optional
+ The densify parameter is not supported by Sedona.
+ Passing a value will raise a ``NotImplementedError``.
+
+ Returns
+ -------
+ Series (float)
+
+ Examples
+ --------
+ >>> from sedona.spark.geopandas import GeoSeries
+ >>> from shapely.geometry import LineString
+ >>> s1 = GeoSeries(
+ ... [
+ ... LineString([(0, 0), (1, 0), (2, 0)]),
+ ... LineString([(0, 0), (1, 1)]),
+ ... ]
+ ... )
+ >>> s2 = GeoSeries(
+ ... [
+ ... LineString([(0, 1), (1, 2), (2, 1)]),
+ ... LineString([(1, 0), (2, 1)]),
+ ... ]
+ ... )
+
+ >>> s1.frechet_distance(s2)
+ 0 2.0
+ 1 2.0
Review Comment:
Fixed in 87958a18fc. Changed to `1 1.0` to match actual output.
##########
python/sedona/spark/geopandas/base.py:
##########
@@ -2363,6 +2363,263 @@ def distance(self, other, align=None):
"""
return _delegate_to_geometry_column("distance", self, other, align)
+ def frechet_distance(self, other, align=None, densify=None):
+ """Returns a ``Series`` containing the discrete Fréchet distance to
aligned `other`.
+
+ The Fréchet distance is a measure of similarity: it is the greatest
distance
+ between any point in A and the closest point in B. The discrete
distance is an
+ approximation of this metric: only vertices are considered. The
parameter
+ ``densify`` makes this approximation less coarse by splitting the line
segments
+ between vertices before computing the distance.
+
+ The operation works on a 1-to-1 row-wise manner.
+
+ Parameters
+ ----------
+ other : GeoSeries or geometric object
+ The GeoSeries (elementwise) or geometric object to find the
+ distance to.
+ align : bool | None (default None)
+ If True, automatically aligns GeoSeries based on their indices.
None defaults to True.
+ If False, the order of elements is preserved.
+ densify : float, optional
+ The densify parameter is not supported by Sedona.
+ Passing a value will raise a ``NotImplementedError``.
+
+ Returns
+ -------
+ Series (float)
+
+ Examples
+ --------
+ >>> from sedona.spark.geopandas import GeoSeries
+ >>> from shapely.geometry import LineString
+ >>> s1 = GeoSeries(
+ ... [
+ ... LineString([(0, 0), (1, 0), (2, 0)]),
+ ... LineString([(0, 0), (1, 1)]),
+ ... ]
+ ... )
+ >>> s2 = GeoSeries(
+ ... [
+ ... LineString([(0, 1), (1, 2), (2, 1)]),
+ ... LineString([(1, 0), (2, 1)]),
+ ... ]
+ ... )
+
+ >>> s1.frechet_distance(s2)
+ 0 2.0
+ 1 2.0
+ dtype: float64
+
+ See also
+ --------
+ GeoSeries.hausdorff_distance
+ """
+ return _delegate_to_geometry_column(
+ "frechet_distance", self, other, align, densify
+ )
+
+ def hausdorff_distance(self, other, align=None, densify=None):
+ """Returns a ``Series`` containing the Hausdorff distance to aligned
`other`.
+
+ The Hausdorff distance is the largest distance consisting of any point
in `self`
+ with the nearest point in `other`.
+
+ The operation works on a 1-to-1 row-wise manner.
+
+ Parameters
+ ----------
+ other : GeoSeries or geometric object
+ The GeoSeries (elementwise) or geometric object to find the
+ distance to.
+ align : bool | None (default None)
+ If True, automatically aligns GeoSeries based on their indices.
None defaults to True.
+ If False, the order of elements is preserved.
+ densify : float, optional
+ The fraction by which to densify each segment. Each segment will be
+ split into a number of equal-length subsegments whose fraction of
+ the segment length is closest to the given fraction.
+
+ Returns
+ -------
+ Series (float)
+
+ Examples
+ --------
+ >>> from sedona.spark.geopandas import GeoSeries
+ >>> from shapely.geometry import LineString
+ >>> s1 = GeoSeries(
+ ... [
+ ... LineString([(0, 0), (1, 0), (2, 0)]),
+ ... LineString([(0, 0), (1, 1)]),
+ ... ]
+ ... )
+ >>> s2 = GeoSeries(
+ ... [
+ ... LineString([(0, 1), (1, 2), (2, 1)]),
+ ... LineString([(1, 0), (2, 1)]),
+ ... ]
+ ... )
+
+ >>> s1.hausdorff_distance(s2)
+ 0 2.0
+ 1 2.0
Review Comment:
Fixed in 87958a18fc. Changed to `1 1.0` to match actual output.
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