def argsort(self, *args, **kwargs):
result = self.asi8<EOL>if result is None:<EOL><INDENT>result = np.array(self)<EOL><DEDENT>return result.argsort(*args, **kwargs)<EOL>
Return the integer indices that would sort the index.

Parameters
----------
*args
    Passed to `numpy.ndarray.argsort`.
**kwargs
    Passed to `numpy.ndarray.argsort`.

Returns
-------
numpy.ndarray
    Integer indices that would sort the index if used as
    an indexer.

See Also
--------
numpy.argsort : Similar method for NumPy arrays.
Index.sort_values : Return sorted copy of Index.

Examples
--------
>>> idx = pd.Index(['b', 'a', 'd', 'c'])
>>> idx
Index(['b', 'a', 'd', 'c'], dtype='object')

>>> order = idx.argsort()
>>> order
array([1, 0, 3, 2])

>>> idx[order]
Index(['a', 'b', 'c', 'd'], dtype='object')