pedia.org/wiki/Kendall_rank_correlation_coefficient>`_
        * `Spearman's rank correlation coefficient <https://en.wikipedia.org/wiki/Spearman%27s_rank_correlation_coefficient>`_

        Automatic data alignment: as with all pandas operations, automatic data alignment is performed for this method.
        ``corr()`` automatically considers values with matching indices.

        Examples
        --------
        >>> def histogram_intersection(a, b):
        ...     v = np.minimum(a, b).sum().round(decimals=1)
        ...     return v
        >>> s1 = pd.Series([.2, .0, .6, .2])
        >>> s2 = pd.Series([.3, .6, .0, .1])
        >>> s1.corr(s2, method=histogram_intersection)
        0.3

        Pandas auto-aligns the values with matching indices

        >>> s1 = pd.Series([1, 2, 3], index=[0, 1, 2])
        >>> s2 = pd.Series([1, 2, 3], index=[2, 1, 0])
        >>> s1.corr(s2)
        -1.0
        