pandas.Index.view#

Index.view(cls=None)[source]#

Return a view on self.

Parameters:

clsdata-type or ndarray sub-class, optional: Data-type descriptor of the returned view, e.g., float32 or int16. Omitting it results in the view having the same data-type as self. This argument can also be specified as an ndarray sub-class, e.g., np.int64 or np.float32 which then specifies the type of the returned object.

Returns:

numpy.ndarray: A new view of the same data in memory.

See also

numpy.ndarray.view: Returns a new view of array with the same data.

Examples

>>> s = pd.Series([1, 2, 3], index=["1", "2", "3"])
>>> s.index.view("object")
array(['1', '2', '3'], dtype=object)

>>> s = pd.Series([1, 2, 3], index=[-1, 0, 1])
>>> s.index.view(np.int64)
array([-1,  0,  1])
>>> s.index.view(np.float32)
array([   nan,    nan, 0.e+00, 0.e+00, 1.e-45, 0.e+00], dtype=float32)
>>> s.index.view(np.uint64)
array([18446744073709551615,                    0,                    1],
  dtype=uint64)