snowflake.snowpark.functions.st_union¶
- snowflake.snowpark.functions.st_union(geography_expression_1: Union[snowflake.snowpark.column.Column, str], geography_expression_2: Union[snowflake.snowpark.column.Column, str]) Column[source]¶
Returns the union of two GEOGRAPHY objects as a single GEOGRAPHY object.
- Parameters:
geography_expression_1 (ColumnOrName) – A GEOGRAPHY object.
geography_expression_2 (ColumnOrName) – A GEOGRAPHY object.
- Returns:
The union of the two input GEOGRAPHY objects.
- Return type:
- Examples::
>>> from snowflake.snowpark.functions import to_geography >>> df = session.create_dataframe([ ... ['POLYGON((0 0, 1 0, 2 1, 1 2, 2 3, 1 4, 0 4, 0 0))', 'POLYGON((3 0, 3 4, 2 4, 1 3, 2 2, 1 1, 2 0, 3 0))'] ... ], schema=["geog1", "geog2"]) >>> result = df.select(st_union(to_geography(df["geog1"]), to_geography(df["geog2"])).alias("union_result")).collect() >>> # [Row(UNION_RESULT='{\n "coordinates": [\n [\n [\n 3.000000000000000e+00,\n 0.000000000000000e+00\n ],\n [\n 3.000000000000000e+00,\n 4.000000000000000e+00\n ],\n [\n 2.000000000000000e+00,\n 4.000000000000000e+00\n ],\n [\n 1.500000000000000e+00,\n 3.500399838942360e+00\n ],\n [\n 1.000000000000000e+00,\n 4.000000000000000e+00\n ],\n [\n 0.000000000000000e+00,\n 4.000000000000000e+00\n ],\n [\n 0.000000000000000e+00,\n 0.000000000000000e+00\n ],\n [\n 1.000000000000000e+00,\n 0.000000000000000e+00\n ],\n [\n 1.500000000000000e+00,\n 5.000571197534015e-01\n ],\n [\n 2.000000000000000e+00,\n 0.000000000000000e+00\n ],\n [\n 3.000000000000000e+00,\n 0.000000000000000e+00\n ]\n ],\n [\n [\n 1.500000000000000e+00,\n 1.500171359265506e+00\n ],\n [\n 9.999999999999998e-01,\n 2.000000000000000e+00\n ],\n [\n 1.500000000000000e+00,\n 2.500285598878384e+00\n ],\n [\n 2.000000000000000e+00,\n 2.000000000000000e+00\n ],\n [\n 1.500000000000000e+00,\n 1.500171359265506e+00\n ]\n ]\n ],\n "type": "Polygon"\n}')]