Classe « MultiIndex »

Méthode pandas.MultiIndex.sortlevel

Signature de la méthode sortlevel

def sortlevel(self, level=0, ascending=True, sort_remaining=True) 

Description

sortlevel.__doc__

        Sort MultiIndex at the requested level.

        The result will respect the original ordering of the associated
        factor at that level.

        Parameters
        ----------
        level : list-like, int or str, default 0
            If a string is given, must be a name of the level.
            If list-like must be names or ints of levels.
        ascending : bool, default True
            False to sort in descending order.
            Can also be a list to specify a directed ordering.
        sort_remaining : sort by the remaining levels after level

        Returns
        -------
        sorted_index : pd.MultiIndex
            Resulting index.
        indexer : np.ndarray
            Indices of output values in original index.

        Examples
        --------
        >>> mi = pd.MultiIndex.from_arrays([[0, 0], [2, 1]])
        >>> mi
        MultiIndex([(0, 2),
                    (0, 1)],
                   )

        >>> mi.sortlevel()
        (MultiIndex([(0, 1),
                    (0, 2)],
                   ), array([1, 0]))

        >>> mi.sortlevel(sort_remaining=False)
        (MultiIndex([(0, 2),
                    (0, 1)],
                   ), array([0, 1]))

        >>> mi.sortlevel(1)
        (MultiIndex([(0, 1),
                    (0, 2)],
                   ), array([1, 0]))

        >>> mi.sortlevel(1, ascending=False)
        (MultiIndex([(0, 2),
                    (0, 1)],
                   ), array([0, 1]))