pandas.api.typing.SeriesGroupBy.corr

SeriesGroupBy.corr(other, method='pearson', min_periods=None)

Compute correlation between each group and another Series.

Parameters:

otherSeries

Series to compute correlation with.

method{‘pearson’, ‘kendall’, ‘spearman’}, default ‘pearson’

Method of correlation to use.

min_periodsint, optional

Minimum number of observations required per pair of columns to have a valid result.

Returns:

Series

Correlation value for each group.

See also

Series.corr

Equivalent method on Series.

Examples

>>> s = pd.Series([1, 2, 3, 4], index=[0, 0, 1, 1])
>>> g = s.groupby([0, 0, 1, 1])
>>> g.corr()