Github user icexelloss commented on a diff in the pull request:
https://github.com/apache/spark/pull/18732#discussion_r141891357
--- Diff: python/pyspark/sql/group.py ---
@@ -194,6 +194,28 @@ def pivot(self, pivot_col, values=None):
jgd = self._jgd.pivot(pivot_col, values)
return GroupedData(jgd, self.sql_ctx)
+ def apply(self, udf_obj):
--- End diff --
I am not sure if that is necessary. We can check if the function should
have just one parameter in `apply()` without introducing a new `pandas_df_udf`
too.
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