zhengruifeng commented on code in PR #37801:
URL: https://github.com/apache/spark/pull/37801#discussion_r964768456
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python/pyspark/pandas/groupby.py:
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@@ -895,6 +895,89 @@ def sem(col: Column) -> Column:
bool_to_numeric=True,
)
+ # TODO: 1, 'n' accepts list and slice; 2, implement 'dropna' parameter
+ def nth(self, n: int) -> FrameLike:
Review Comment:
I guess we can not apply `nth_value` for this purpose, it return the `n-th`
row within one partition for each input row, can not use it to filter out
unnecessary rows.
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