pandas.core.groupby.DataFrameGroupBy.corrwith

DataFrameGroupBy.corrwith

Compute pairwise correlation between rows or columns of DataFrame with rows or columns of Series or DataFrame. DataFrames are first aligned along both axes before computing the correlations.

Parameters:

other : DataFrame, Series Object with which to compute correlations. axis : {0 or ‘index’, 1 or ‘columns’}, default 0 0 or ‘index’ to compute column-wise, 1 or ‘columns’ for row-wise. drop : bool, default False Drop missing indices from result. method : {‘pearson’, ‘kendall’, ‘spearman’} or callable pearson : standard correlation coefficient kendall : Kendall Tau correlation coefficient spearman : Spearman rank correlation callable: callable with input two 1d ndarrays and returning a float New in version 0.24.0.

Returns:

Series Pairwise correlations.

See also

DataFrame.corr