zhengruifeng commented on code in PR #53117:
URL: https://github.com/apache/spark/pull/53117#discussion_r2540573547
##########
python/pyspark/sql/functions/builtin.py:
##########
@@ -26139,6 +26139,33 @@ def st_geomfromwkb(wkb: "ColumnOrName") -> Column:
return _invoke_function_over_columns("st_geomfromwkb", wkb)
+@_try_remote_functions
+def st_setsrid(geo: "ColumnOrName", srid: "ColumnOrName") -> Column:
+ """Returns a new GEOGRAPHY or GEOMETRY value whose SRID is the specified
SRID value.
+
+ .. versionadded:: 4.1.0
+
+ Parameters
+ ----------
+ geo : :class:`~pyspark.sql.Column` or str
+ A geospatial value, either a GEOGRAPHY or a GEOMETRY.
+ srid : :class:`~pyspark.sql.Column` or str
+ An INTEGER representing the new SRID of the geospatial value.
+
+ Examples
+ --------
+ >>> from pyspark.sql import functions as sf
+ >>> df =
spark.createDataFrame([(bytes.fromhex('0101000000000000000000F03F0000000000000040'),)],
['wkb']) # noqa
+ >>> df.select(sf.st_srid(sf.st_setsrid(sf.st_geogfromwkb('wkb'),
4326)).alias('result')).collect() # noqa
+ [Row(result=4326)]
+ >>> from pyspark.sql import functions as sf
Review Comment:
then lets split the two examples with explanations: `Example 1: xxx` and
`Example 2: xxx`
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