HyukjinKwon commented on code in PR #37836:
URL: https://github.com/apache/spark/pull/37836#discussion_r969205126
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python/pyspark/pandas/window.py:
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@@ -561,6 +573,101 @@ def mean(self) -> FrameLike:
"""
return super().mean()
+ def quantile(self, quantile: float, accuracy: int = 10000) -> FrameLike:
+ """
+ Calculate the rolling quantile of the values.
+
+ .. versionadded:: 3.4.0
+
+ Parameters
+ ----------
+ quantile : float
+ Value between 0 and 1 providing the quantile to compute.
+ accuracy : int, optional
+ Default accuracy of approximation. Larger value means better
accuracy.
+ The relative error can be deduced by 1.0 / accuracy.
+ This is a panda-on-Spark specific parameter.
+
+ Returns
+ -------
+ Series or DataFrame
+ Returned object type is determined by the caller of the rolling
+ calculation.
+
+ Notes
+ -------
Review Comment:
```suggestion
-----
```
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