2  2 3.0
        4  2 5.0
        >>> g.nth(slice(None, -1))
           A   B
        0  1 NaN
        1  1 2.0
        2  2 3.0

        Index notation may also be used

        >>> g.nth[0, 1]
           A   B
        0  1 NaN
        1  1 2.0
        2  2 3.0
        4  2 5.0
        >>> g.nth[:-1]
           A   B
        0  1 NaN
        1  1 2.0
        2  2 3.0

        Specifying `dropna` allows ignoring ``NaN`` values

        >>> g.nth(0, dropna='any')
           A   B
        1  1 2.0
        2  2 3.0

        When the specified ``n`` is larger than any of the groups, an
        empty DataFrame is returned

        >>> g.nth(3, dropna='any')
        Empty DataFrame
        Columns: [A, B]
        Index: []
        )