Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/20211#discussion_r161366590
--- Diff: python/pyspark/sql/group.py ---
@@ -233,6 +233,27 @@ def apply(self, udf):
| 2| 1.1094003924504583|
+---+-------------------+
+ Notes on grouping column:
--- End diff --
sounds to me like we could either stick with func(key, pdf) or whatever
pandas does.
(yes, for gapply, the returned data frame is expected to have key columns
prepended; there was one SPARK-16258 proposing to eliminate that extra work)
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