Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/18732#discussion_r141828817
--- 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):
+ """
+ Maps each group of the current [[DataFrame]] using a pandas udf
and returns the result as a :class:`DataFrame`.
+
+ """
+ from pyspark.sql.functions import pandas_udf
+
+ df = DataFrame(self._jgd.df(), self.sql_ctx)
+ func = udf_obj.func
+ returnType = udf_obj.returnType
--- End diff --
Check if the return type is struct type?
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