itholic commented on a change in pull request #33752:
URL: https://github.com/apache/spark/pull/33752#discussion_r690913191
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File path: python/pyspark/pandas/series.py
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@@ -944,6 +944,57 @@ def between(self, left: Any, right: Any, inclusive: bool =
True) -> "Series":
return lmask & rmask
+ def cov(self, other: "Series", min_periods: Optional[int] = None) -> float:
+ """
+ Compute covariance with Series, excluding missing values.
+ Parameters
+ ----------
+ other : Series
+ Series with which to compute the covariance.
+ min_periods : int, optional
+ Minimum number of observations needed to have a valid result.
+
+ Returns
+ -------
+ float
+ Covariance between Series and other
+
+ Examples
+ --------
+ >>> from pyspark.pandas.config import set_option, reset_option
+ >>> set_option("compute.ops_on_diff_frames", True)
+ >>> s1 = ps.Series([0.90010907, 0.13484424, 0.62036035])
+ >>> s2 = ps.Series([0.12528585, 0.26962463, 0.51111198])
+ >>> s1.cov(s2)
+ -0.016857626527158744
+ >>> reset_option("compute.ops_on_diff_frames")
+ """
+
+ if min_periods is None:
+ min_periods = 1
Review comment:
@dgd-contributor ,
I think what @srowen commented was just a question about Python.
Actually, we should follow the [pandas' API
docs](https://pandas.pydata.org/docs/reference/api/pandas.Series.cov.html) what
you did before :-)
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