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.

param other
DataFrame, Series

Object with which to compute correlations.

param axis
{0 or ‘index’, 1 or ‘columns’}, default 0

0 or ‘index’ to compute column-wise, 1 or ‘columns’ for row-wise.

param drop
bool, default False

Drop missing indices from result.

param 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.


Series Pairwise correlations.


This feature is currently unsupported by Intel Scalable Dataframe Compiler