bigframes.pandas.DataFrame.corrwith

DataFrame.corrwith(other: DataFrame | Series, *, numeric_only: bool = False)

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.

Examples:

>>> index = ["a", "b", "c", "d", "e"]
>>> columns = ["one", "two", "three", "four"]
>>> df1 = bpd.DataFrame(np.arange(20).reshape(5, 4), index=index, columns=columns)
>>> df2 = bpd.DataFrame(np.arange(16).reshape(4, 4), index=index[:4], columns=columns)
>>> df1.corrwith(df2)
one      1.0
two      1.0
three    1.0
four     1.0
dtype: Float64

Parameters:

• other (DataFrame, Series) – Object with which to compute correlations.

• numeric_only (bool, default False) – Include only float, int or boolean data.

Returns:

Pairwise correlations.

Return type:

bigframes.pandas.Series