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pandas.DataFrame.corrwith

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.

See also

DataFrame.corr

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.DataFrame.corrwith.html