mars.dataframe.DataFrame.corrwith#

DataFrame.corrwith(other, axis=0, drop=False, method='pearson')#

Compute pairwise correlation.

Pairwise correlation is computed 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) – The axis to use. 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) –
Method of correlation:
- pearson : standard correlation coefficient
- kendall : Kendall Tau correlation coefficient
- spearman : Spearman rank correlation
- callable: callable with input two 1d ndarrays
  and returning a float.
Note

kendall, spearman and callables not supported on multiple chunks yet.

Returns

Pairwise correlations.

Return type

Series