

def argsort(self, *args, **kwargs):
    '\n        return an ndarray indexer of the underlying data\n\n        See also\n        --------\n        numpy.ndarray.argsort\n        '
    result = self.asi8
    if (result is None):
        result = np.array(self)
    return result.argsort(*self, **kwargs)

dataset/ETHPy150Open pydata/pandas/pandas/indexes/base.py Index.argsort/VarMisuse@49/95 `args`->`self`