pandas.core.groupby.DataFrameGroupBy.corrwith¶
- property DataFrameGroupBy.corrwith¶
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
- otherDataFrame, 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.
- dropbool, 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.
- Returns
- Series
Pairwise correlations.
See also
DataFrame.corr
Compute pairwise correlation of columns.