def get_values(self):
return self.values<EOL>
Return `Index` data as an `numpy.ndarray`.

Returns
-------
numpy.ndarray
    A one-dimensional numpy array of the `Index` values.

See Also
--------
Index.values : The attribute that get_values wraps.

Examples
--------
Getting the `Index` values of a `DataFrame`:

>>> df = pd.DataFrame([[1, 2, 3], [4, 5, 6], [7, 8, 9]],
...                    index=['a', 'b', 'c'], columns=['A', 'B', 'C'])
>>> df
   A  B  C
a  1  2  3
b  4  5  6
c  7  8  9
>>> df.index.get_values()
array(['a', 'b', 'c'], dtype=object)

Standalone `Index` values:

>>> idx = pd.Index(['1', '2', '3'])
>>> idx.get_values()
array(['1', '2', '3'], dtype=object)

`MultiIndex` arrays also have only one dimension:

>>> midx = pd.MultiIndex.from_arrays([[1, 2, 3], ['a', 'b', 'c']],
...                                  names=('number', 'letter'))
>>> midx.get_values()
array([(1, 'a'), (2, 'b'), (3, 'c')], dtype=object)
>>> midx.get_values().ndim
1