pandas.DataFrame.corrwith

DataFrame.corrwith(self, other, axis=0, drop=False, method='pearson')

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