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     new 433891285e [GH-2110] Geopandas.GeoSeries: Implement simplify and snap 
(#2111)
433891285e is described below

commit 433891285efe5f2dfbf319ffc73e67f50fe4c8f9
Author: Peter Nguyen <[email protected]>
AuthorDate: Wed Jul 23 16:43:03 2025 -0700

    [GH-2110] Geopandas.GeoSeries: Implement simplify and snap (#2111)
    
    * Implement simplify and snap
    
    * Skip test_snap for versions < 1.0.0
    
    * Set fail-fast to false temporarily for debugging version issues
    
    * Modify test to avoid invalid_geometry
    
    * Add is_valid check in assert_geometry_almost_equal
    
    * Fix after merging in dataframe api code
    
    * empty commit to retrigger ci
    
    * Clean up and simplify match series tests and add LinearRing tests
    
    * Apply suggestions from code review
    
    Co-authored-by: Copilot <[email protected]>
    
    * Use minimum pass rate instead of num_passed in test_snap
    
    Co-authored-by: Copilot <[email protected]>
    
    * Fix check_sgpd_equals_gpd after copilot change
    
    * Fix after the merge
    
    * Skip linearring test in test_simplify
    
    * empty commit
    
    ---------
    
    Co-authored-by: Copilot <[email protected]>
---
 python/sedona/geopandas/geoseries.py               | 183 +++++++++++++++++++++
 python/sedona/spark/sql/st_functions.py            |   4 +-
 python/tests/geopandas/test_geopandas_base.py      |  10 +-
 python/tests/geopandas/test_geoseries.py           |  78 +++++++++
 .../tests/geopandas/test_match_geopandas_series.py |  34 ++++
 python/tests/test_base.py                          |   9 +-
 6 files changed, 311 insertions(+), 7 deletions(-)

diff --git a/python/sedona/geopandas/geoseries.py 
b/python/sedona/geopandas/geoseries.py
index c4bbd8e51e..f1cb7a0592 100644
--- a/python/sedona/geopandas/geoseries.py
+++ b/python/sedona/geopandas/geoseries.py
@@ -2933,6 +2933,122 @@ class GeoSeries(GeoFrame, pspd.Series):
         )
         return result
 
+    def snap(self, other, tolerance, align=None) -> "GeoSeries":
+        """Snap the vertices and segments of the geometry to vertices of the 
reference.
+
+        Vertices and segments of the input geometry are snapped to vertices of 
the
+        reference geometry, returning a new geometry; the input geometries are 
not
+        modified. The result geometry is the input geometry with the vertices 
and
+        segments snapped. If no snapping occurs then the input geometry is 
returned
+        unchanged. The tolerance is used to control where snapping is 
performed.
+
+        Where possible, this operation tries to avoid creating invalid 
geometries;
+        however, it does not guarantee that output geometries will be valid. 
It is
+        the responsibility of the caller to check for and handle invalid 
geometries.
+
+        Because too much snapping can result in invalid geometries being 
created,
+        heuristics are used to determine the number and location of snapped
+        vertices that are likely safe to snap. These heuristics may omit
+        some potential snaps that are otherwise within the tolerance.
+
+        Note: Sedona's result may differ slightly from geopandas's snap() 
result
+        because of small differences between the underlying engines being used.
+
+        The operation works in a 1-to-1 row-wise manner:
+
+        Parameters
+        ----------
+        other : GeoSeries or geometric object
+            The Geoseries (elementwise) or geometric object to snap to.
+        tolerance : float or array like
+            Maximum distance between vertices that shall be snapped
+        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.
+
+        Returns
+        -------
+        GeoSeries
+
+        Examples
+        --------
+        >>> from sedona.geopandas import GeoSeries
+        >>> from shapely import Polygon, LineString, Point
+        >>> s = GeoSeries(
+        ...     [
+        ...         Point(0.5, 2.5),
+        ...         LineString([(0.1, 0.1), (0.49, 0.51), (1.01, 0.89)]),
+        ...         Polygon([(0, 0), (0, 10), (10, 10), (10, 0), (0, 0)]),
+        ...     ],
+        ... )
+        >>> s
+        0                               POINT (0.5 2.5)
+        1    LINESTRING (0.1 0.1, 0.49 0.51, 1.01 0.89)
+        2       POLYGON ((0 0, 0 10, 10 10, 10 0, 0 0))
+        dtype: geometry
+
+        >>> s2 = GeoSeries(
+        ...     [
+        ...         Point(0, 2),
+        ...         LineString([(0, 0), (0.5, 0.5), (1.0, 1.0)]),
+        ...         Point(8, 10),
+        ...     ],
+        ...     index=range(1, 4),
+        ... )
+        >>> s2
+        1                       POINT (0 2)
+        2    LINESTRING (0 0, 0.5 0.5, 1 1)
+        3                      POINT (8 10)
+        dtype: geometry
+
+        We can snap each geometry to a single shapely geometry:
+
+        >>> s.snap(Point(0, 2), tolerance=1)
+        0                                     POINT (0 2)
+        1      LINESTRING (0.1 0.1, 0.49 0.51, 1.01 0.89)
+        2    POLYGON ((0 0, 0 2, 0 10, 10 10, 10 0, 0 0))
+        dtype: geometry
+
+        We can also snap two GeoSeries to each other, row by row.
+        The GeoSeries above have different indices. We can either align both 
GeoSeries
+        based on index values and snap elements with the same index using
+        ``align=True`` or ignore index and snap elements based on their 
matching
+        order using ``align=False``:
+
+        >>> s.snap(s2, tolerance=1, align=True)
+        0                                                 None
+        1           LINESTRING (0.1 0.1, 0.49 0.51, 1.01 0.89)
+        2    POLYGON ((0.5 0.5, 1 1, 0 10, 10 10, 10 0, 0.5...
+        3                                                 None
+        dtype: geometry
+
+        >>> s.snap(s2, tolerance=1, align=False)
+        0                                      POINT (0 2)
+        1                   LINESTRING (0 0, 0.5 0.5, 1 1)
+        2    POLYGON ((0 0, 0 10, 8 10, 10 10, 10 0, 0 0))
+        dtype: geometry
+        """
+        if not isinstance(tolerance, (float, int)):
+            raise NotImplementedError(
+                "Array-like values for tolerance are not supported yet."
+            )
+
+        # Both sgpd and gpd implementations simply call the snap functions
+        # in JTS and GEOs, respectively. The results often differ slightly, 
but these
+        # must be differences inside of the engines themselves.
+
+        other_series, extended = self._make_series_of_val(other)
+        align = False if extended else align
+
+        spark_expr = stf.ST_Snap(F.col("L"), F.col("R"), tolerance)
+        result = self._row_wise_operation(
+            spark_expr,
+            other_series,
+            align,
+            returns_geom=True,
+        )
+        return result
+
     def _row_wise_operation(
         self,
         spark_col: PySparkColumn,
@@ -3184,6 +3300,73 @@ class GeoSeries(GeoFrame, pspd.Series):
             returns_geom=True,
         )
 
+    def simplify(self, tolerance=None, preserve_topology=True) -> "GeoSeries":
+        """Returns a ``GeoSeries`` containing a simplified representation of
+        each geometry.
+
+        The algorithm (Douglas-Peucker) recursively splits the original line
+        into smaller parts and connects these parts' endpoints
+        by a straight line. Then, it removes all points whose distance
+        to the straight line is smaller than `tolerance`. It does not
+        move any points and it always preserves endpoints of
+        the original line or polygon.
+        See 
https://shapely.readthedocs.io/en/latest/manual.html#object.simplify
+        for details
+
+        Simplifies individual geometries independently, without considering
+        the topology of a potential polygonal coverage. If you would like to 
treat
+        the ``GeoSeries`` as a coverage and simplify its edges, while 
preserving the
+        coverage topology, see :meth:`simplify_coverage`.
+
+        Parameters
+        ----------
+        tolerance : float
+            All parts of a simplified geometry will be no more than
+            `tolerance` distance from the original. It has the same units
+            as the coordinate reference system of the GeoSeries.
+            For example, using `tolerance=100` in a projected CRS with meters
+            as units means a distance of 100 meters in reality.
+        preserve_topology: bool (default True)
+            False uses a quicker algorithm, but may produce self-intersecting
+            or otherwise invalid geometries.
+
+        Notes
+        -----
+        Invalid geometric objects may result from simplification that does not
+        preserve topology and simplification may be sensitive to the order of
+        coordinates: two geometries differing only in order of coordinates may 
be
+        simplified differently.
+
+        See also
+        --------
+        simplify_coverage : simplify geometries using coverage simplification
+
+        Examples
+        --------
+        >>> from sedona.geopandas import GeoSeries
+        >>> from shapely.geometry import Point, LineString
+        >>> s = GeoSeries(
+        ...     [Point(0, 0).buffer(1), LineString([(0, 0), (1, 10), (0, 20)])]
+        ... )
+        >>> s
+        0    POLYGON ((1 0, 0.99518 -0.09802, 0.98079 -0.19...
+        1                         LINESTRING (0 0, 1 10, 0 20)
+        dtype: geometry
+
+        >>> s.simplify(1)
+        0    POLYGON ((0 1, 0 -1, -1 0, 0 1))
+        1              LINESTRING (0 0, 0 20)
+        dtype: geometry
+        """
+
+        spark_expr = (
+            stf.ST_SimplifyPreserveTopology(self.spark.column, tolerance)
+            if preserve_topology
+            else stf.ST_Simplify(self.spark.column, tolerance)
+        )
+
+        return self._query_geometry_column(spark_expr)
+
     def to_parquet(self, path, **kwargs):
         """
         Write the GeoSeries to a GeoParquet file.
diff --git a/python/sedona/spark/sql/st_functions.py 
b/python/sedona/spark/sql/st_functions.py
index 83a16811a3..db07e2be3b 100644
--- a/python/sedona/spark/sql/st_functions.py
+++ b/python/sedona/spark/sql/st_functions.py
@@ -1703,7 +1703,9 @@ def ST_SetSRID(geometry: ColumnOrName, srid: 
Union[ColumnOrName, int]) -> Column
 
 @validate_argument_types
 def ST_Snap(
-    input: ColumnOrName, reference: ColumnOrName, tolerance: 
Union[ColumnOrName, float]
+    input: ColumnOrName,
+    reference: ColumnOrName,
+    tolerance: Union[ColumnOrName, float, int],
 ) -> Column:
     """Snaps input Geometry to reference Geometry controlled by distance 
tolerance.
 
diff --git a/python/tests/geopandas/test_geopandas_base.py 
b/python/tests/geopandas/test_geopandas_base.py
index d30c3dbb5f..2d2fe22c50 100644
--- a/python/tests/geopandas/test_geopandas_base.py
+++ b/python/tests/geopandas/test_geopandas_base.py
@@ -46,9 +46,13 @@ class TestGeopandasBase(TestBase):
 
     # TODO chore: rename to check_sgpd_series_equals_gpd_series and change the 
names in the geoseries tests
     @classmethod
-    def check_sgpd_equals_gpd(cls, actual: GeoSeries, expected: gpd.GeoSeries):
-        assert isinstance(actual, GeoSeries), "result is not a sgpd.GeoSeries"
-        assert isinstance(expected, gpd.GeoSeries), "expected is not a 
gpd.GeoSeries"
+    def check_sgpd_equals_gpd(
+        cls,
+        actual: GeoSeries,
+        expected: gpd.GeoSeries,
+    ):
+        assert isinstance(actual, GeoSeries)
+        assert isinstance(expected, gpd.GeoSeries)
         sgpd_result = actual.to_geopandas()
         assert len(sgpd_result) == len(expected), "results are of different 
lengths"
         for a, e in zip(sgpd_result, expected):
diff --git a/python/tests/geopandas/test_geoseries.py 
b/python/tests/geopandas/test_geoseries.py
index 99b0fb3039..7c663e5585 100644
--- a/python/tests/geopandas/test_geoseries.py
+++ b/python/tests/geopandas/test_geoseries.py
@@ -96,6 +96,33 @@ class TestGeoSeries(TestGeopandasBase):
         assert result.count() > 0
         self.check_sgpd_equals_gpd(result, expected)
 
+    def test_simplify(self):
+        s = GeoSeries([Point(0, 0).buffer(1), LineString([(0, 0), (1, 10), (0, 
20)])])
+
+        result = s.simplify(1)
+        expected = gpd.GeoSeries(
+            [Polygon([(0, 1), (0, -1), (-1, 0), (0, 1)]), LineString([(0, 0), 
(0, 20)])]
+        )
+
+        self.check_sgpd_equals_gpd(result, expected)
+
+        result = s.simplify(1.2, preserve_topology=False)
+        expected = gpd.GeoSeries([Polygon(), LineString([(0, 0), (0, 20)])])
+        self.check_sgpd_equals_gpd(result, expected)
+
+        s = GeoSeries([LineString([(0, 0), (1, 0.1), (2, 0)])])
+        result = s.simplify(0.2)
+        expected = gpd.GeoSeries([LineString([(0, 0), (2, 0)])])
+        self.check_sgpd_equals_gpd(result, expected)
+
+        result = s.simplify(0.2, preserve_topology=False)
+        expected = gpd.GeoSeries(
+            [
+                LineString([(0, 0), (2, 0)]),
+            ]
+        )
+        self.check_sgpd_equals_gpd(result, expected)
+
     def test_geometry(self):
         sgpd_geoseries = sgpd.GeoSeries([Point(0, 0), Point(1, 1)])
         assert isinstance(sgpd_geoseries.geometry, sgpd.GeoSeries)
@@ -1353,6 +1380,57 @@ e": "Feature", "properties": {}, "geometry": {"type": 
"Point", "coordinates": [3
         # Ensure result of align=False retains the left's index
         assert result.index.to_pandas().equals(expected.index)
 
+    def test_snap(self):
+        s = GeoSeries(
+            [
+                Point(0.5, 2.5),
+                LineString([(0.1, 0.1), (0.49, 0.51), (1.01, 0.89)]),
+                Polygon([(0, 0), (0, 10), (10, 10), (10, 0), (0, 0)]),
+            ],
+        )
+        s2 = GeoSeries(
+            [
+                Point(0, 2),
+                LineString([(0, 0), (0.5, 0.5), (1.0, 1.0)]),
+                Point(8, 10),
+            ],
+            index=range(1, 4),
+        )
+        result = s.snap(Point(0, 2), tolerance=1)
+        expected = gpd.GeoSeries(
+            [
+                Point(0, 2),
+                LineString([(0.1, 0.1), (0.49, 0.51), (1.01, 0.89)]),
+                Polygon([(0, 0), (0, 2), (0, 10), (10, 10), (10, 0), (0, 0)]),
+            ]
+        )
+        self.check_sgpd_equals_gpd(result, expected)
+
+        # Note: This test result slightly differs from the original 
geopandas's result,
+        # which doesn't include the Point(0, 0) in the Polygon below.
+        result = s.snap(s2, tolerance=1, align=True)
+        expected = gpd.GeoSeries(
+            [
+                None,
+                LineString([(0.1, 0.1), (0.49, 0.51), (1.01, 0.89)]),
+                Polygon(
+                    [(0, 0), (0.5, 0.5), (1, 1), (0, 10), (10, 10), (10, 0), 
(0, 0)]
+                ),
+                None,
+            ]
+        )
+        self.check_sgpd_equals_gpd(result, expected)
+
+        result = s.snap(s2, tolerance=1, align=False)
+        expected = gpd.GeoSeries(
+            [
+                Point(0, 2),
+                LineString([(0, 0), (0.5, 0.5), (1, 1)]),
+                Polygon([(0, 0), (0, 10), (8, 10), (10, 10), (10, 0), (0, 0)]),
+            ]
+        )
+        self.check_sgpd_equals_gpd(result, expected)
+
     def test_intersection_all(self):
         pass
 
diff --git a/python/tests/geopandas/test_match_geopandas_series.py 
b/python/tests/geopandas/test_match_geopandas_series.py
index 543ab729eb..85e38a9468 100644
--- a/python/tests/geopandas/test_match_geopandas_series.py
+++ b/python/tests/geopandas/test_match_geopandas_series.py
@@ -214,6 +214,18 @@ class TestMatchGeopandasSeries(TestGeopandasBase):
         self.g1.buffer(0.2).to_parquet(temp_file_path)
         assert os.path.exists(temp_file_path)
 
+    def test_simplify(self):
+        for geom in self.geoms:
+            if isinstance(geom[0], LinearRing):
+                continue
+            sgpd_result = GeoSeries(geom).simplify(100.1)
+            gpd_result = gpd.GeoSeries(geom).simplify(100.1)
+            self.check_sgpd_equals_gpd(sgpd_result, gpd_result)
+
+            sgpd_result = GeoSeries(geom).simplify(0.05, 
preserve_topology=False)
+            gpd_result = gpd.GeoSeries(geom).simplify(0.05, 
preserve_topology=False)
+            self.check_sgpd_equals_gpd(sgpd_result, gpd_result)
+
     def test_geometry(self):
         for geom in self.geoms:
             gpd_result = gpd.GeoSeries(geom).geometry
@@ -794,6 +806,28 @@ class TestMatchGeopandasSeries(TestGeopandasBase):
                 gpd_result = gpd_series1.intersection(gpd_series2, align=False)
                 self.check_sgpd_equals_gpd(sgpd_result, gpd_result)
 
+    def test_snap(self):
+        if parse_version(gpd.__version__) < parse_version("1.0.0"):
+            return
+
+        # Sedona's snap result fails fairly often, even though the results are 
fairly close.
+        # (though in a way where increasing the buffer tolerance wouldn't help 
with)
+        # Instead of testing all self.pairs, we test a few specific cases that 
are known to succeed
+        # currently, just so we can catch regressions
+
+        tests = [
+            (self.linestrings, self.multipoints, 1.1, True),
+            (self.linestrings, self.multipoints, 1, False),
+            (self.linearrings, self.multilinestrings, 1, False),
+        ]
+
+        for geom, geom2, tol, align in tests:
+            sgpd_result = GeoSeries(geom).snap(GeoSeries(geom2), tol, 
align=align)
+            gpd_result = gpd.GeoSeries(geom).snap(
+                gpd.GeoSeries(geom2), tol, align=align
+            )
+            self.check_sgpd_equals_gpd(sgpd_result, gpd_result)
+
     def test_intersection_all(self):
         pass
 
diff --git a/python/tests/test_base.py b/python/tests/test_base.py
index 6e820ade01..f9978ca4a8 100644
--- a/python/tests/test_base.py
+++ b/python/tests/test_base.py
@@ -131,9 +131,12 @@ class TestBase:
 
         if not actual_geom.equals_exact(expected_geom, tolerance=tolerance):
             # If the exact equals check fails, perform a buffer check with 
tolerance
-            if actual_geom.buffer(tolerance).contains(
-                expected_geom
-            ) and expected_geom.buffer(tolerance).contains(actual_geom):
+            if (
+                actual_geom.is_valid
+                and actual_geom.buffer(tolerance).contains(expected_geom)
+                and expected_geom.is_valid
+                and expected_geom.buffer(tolerance).contains(actual_geom)
+            ):
                 return
             else:
                 # fail the test with error message

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