pandas.DataFrame.corrwith — pandas 0.25.3 documentation (original) (raw)

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

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.

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.