pandas.core.groupby.DataFrameGroupBy.corrwith — pandas 0.24.2 documentation (original) (raw)

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 axis : {0 or ‘index’, 1 or ‘columns’}, default 0 0 or ‘index’ to compute column-wise, 1 or ‘columns’ for row-wise drop : boolean, 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:	correls : Series See Also ——- DataFrame.corr

Parameters:

other : DataFrame, Series axis : {0 or ‘index’, 1 or ‘columns’}, default 0 0 or ‘index’ to compute column-wise, 1 or ‘columns’ for row-wise drop : boolean, 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:

correls : Series See Also ——- DataFrame.corr