pandas.DataFrame.corrwith¶
-
DataFrame.
corrwith
(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
- 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