pyspark.pandas.Series.cov¶
-
Series.cov(other: pyspark.pandas.series.Series, min_periods: Optional[int] = None) → float¶ Compute covariance with Series, excluding missing values.
- Parameters
- otherSeries
Series with which to compute the covariance.
- min_periodsint, 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")