pandas.api.typing.SeriesGroupBy.cov#
- SeriesGroupBy.cov(other, min_periods=None, ddof=1)[source]#
Compute covariance between each group and another Series.
- Parameters:
- otherSeries
Series to compute covariance with.
- min_periodsint, optional
Minimum number of observations required per pair of columns to have a valid result.
- ddofint, optional
Delta degrees of freedom for variance calculation.
- Returns:
- Series
Covariance value for each group.
See also
Series.covEquivalent method on
Series.
Examples
>>> s = pd.Series([1, 2, 3, 4], index=[0, 0, 1, 1]) >>> g = s.groupby([0, 0, 1, 1]) >>> g.cov()