pandas.core.groupby.DataFrameGroupBy.corrwith

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

© 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/0.24.2/reference/api/pandas.core.groupby.DataFrameGroupBy.corrwith.html