pandas.DataFrame.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.
- 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.
- return
Series Pairwise correlations.
Warning
This feature is currently unsupported by Intel Scalable Dataframe Compiler