HyukjinKwon commented on code in PR #36127:
URL: https://github.com/apache/spark/pull/36127#discussion_r846918678
##########
python/pyspark/pandas/generic.py:
##########
@@ -3181,6 +3181,83 @@ def ffill(
pad = ffill
+ # TODO: add 'axis', 'inplace', 'limit_direction', 'limit_area', 'downcast'
+ def interpolate(
+ self: FrameLike,
+ method: Optional[str] = None,
+ limit: Optional[int] = None,
+ ) -> FrameLike:
+ """
+ Fill NaN values using an interpolation method.
+
+ Parameters
+ ----------
+ method : str, default 'linear'
+ Interpolation technique to use. One of:
+
+ * 'linear': Ignore the index and treat the values as equally
+ spaced.
+
+ limit : int, optional
+ Maximum number of consecutive NaNs to fill. Must be greater than
+ 0.
+
Review Comment:
Maybe we should start adding `versionadded: 3.4.0`.
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