ueshin commented on code in PR #54285:
URL: https://github.com/apache/spark/pull/54285#discussion_r2801454575
##########
python/pyspark/pandas/groupby.py:
##########
@@ -2248,14 +2285,15 @@ def pandas_filter(pdf: pd.DataFrame) -> pd.DataFrame:
@staticmethod
def _prepare_group_map_apply(
psdf: DataFrame, groupkeys: List[Series], agg_columns: List[Series]
- ) -> Tuple[DataFrame, List[Label], List[str]]:
+ ) -> Tuple[DataFrame, List[Label], List[str], List[str]]:
groupkey_labels: List[Label] = [
verify_temp_column_name(psdf, "__groupkey_{}__".format(i))
for i in range(len(groupkeys))
]
psdf = psdf[[s.rename(label) for s, label in zip(groupkeys,
groupkey_labels)] + agg_columns]
groupkey_names = [label if len(label) > 1 else label[0] for label in
groupkey_labels]
- return DataFrame(psdf._internal.resolved_copy), groupkey_labels,
groupkey_names # type: ignore[return-value]
+ groupkey_psser_names = [psser.name for psser in groupkeys]
Review Comment:
> Also it seems like even there the old way to iterate through
self._groupkey should be equivalent? I might've missed something.
Could you elaborate?
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