HyukjinKwon commented on code in PR #36063:
URL: https://github.com/apache/spark/pull/36063#discussion_r846944967
##########
python/pyspark/pandas/generic.py:
##########
@@ -2619,6 +2619,56 @@ def expanding(self: FrameLike, min_periods: int = 1) ->
"Expanding[FrameLike]":
return Expanding(self, min_periods=min_periods)
+ # TODO: 'adjust', 'ignore_na', 'axis', 'method' parameter should be
implemented.
+ def ewm(
+ self: FrameLike,
+ com: Optional[float] = None,
+ span: Optional[float] = None,
+ halflife: Optional[float] = None,
+ alpha: Optional[float] = None,
+ min_periods: Optional[int] = None,
+ ) -> "ExponentialMoving[FrameLike]":
+ """
+ Provide exponentially weighted window transformations.
+
+ .. note:: 'min_periods' in pandas-on-Spark works as a fixed window
size unlike pandas.
Review Comment:
I think it's fine for now.
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