Github user icexelloss commented on a diff in the pull request:
https://github.com/apache/spark/pull/18732#discussion_r143810355
--- Diff: python/pyspark/sql/group.py ---
@@ -192,7 +193,84 @@ def pivot(self, pivot_col, values=None):
jgd = self._jgd.pivot(pivot_col)
else:
jgd = self._jgd.pivot(pivot_col, values)
- return GroupedData(jgd, self.sql_ctx)
+ return GroupedData(jgd, self._df)
+
+ @since(2.3)
+ def apply(self, udf):
+ """
+ Maps each group of the current :class:`DataFrame` using a pandas
udf and returns the result
+ as a `DataFrame`.
--- End diff --
I think "pandas udf" as a word is fine. `pandas_udf` is the function name.
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