pandas.core.groupby.DataFrameGroupBy.corrwith
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DataFrameGroupBy.corrwith
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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
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axis : {0 or ‘index’, 1 or ‘columns’}, default 0
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0 or ‘index’ to compute column-wise, 1 or ‘columns’ for row-wise
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drop : boolean, default False
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Drop missing indices from result
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method : {‘pearson’, ‘kendall’, ‘spearman’} or callable
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- pearson : standard correlation coefficient
- kendall : Kendall Tau correlation coefficient
- spearman : Spearman rank correlation
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- callable: callable with input two 1d ndarrays
- and returning a float
New in version 0.24.0.
Returns: -
correls : Series
- See Also
- ——-
- DataFrame.corr
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© 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