code: def view(self, dtype=None):
          
          return self._constructor(self._values.view(dtype),
                                   index=self.index).__finalize__(self)
docs: Create a new view of the Series.
  
          This function will return a new Series with a view of the same
          underlying values in memory, optionally reinterpreted with a new data
          type. The new data type must preserve the same size in bytes as to not
          cause index misalignment.
  
          Parameters
          ----------
          dtype : data type
              Data type object or one of their string representations.
  
          Returns
          -------
          Series
              A new Series object as a view of the same data in memory.
  
          See Also
          --------
          numpy.ndarray.view : Equivalent numpy function to create a new view of
              the same data in memory.
  
          Notes
          -----
          Series are instantiated with ``dtype=float64`` by default. While
          ``numpy.ndarray.view()`` will return a view with the same data type as
          the original array, ``Series.view()`` (without specified dtype)
          will try using ``float64`` and may fail if the original data type size
          in bytes is not the same.
  
          Examples
          --------
          >>> s = pd.Series([-2, -1, 0, 1, 2], dtype='int8')
          >>> s
          0   -2
          1   -1
          2    0
          3    1
          4    2
          dtype: int8
  
          The 8 bit signed integer representation of `-1` is `0b11111111`, but
          the same bytes represent 255 if read as an 8 bit unsigned integer:
  
          >>> us = s.view('uint8')
          >>> us
          0    254
          1    255
          2      0
          3      1
          4      2
          dtype: uint8
  
          The views share the same underlying values:
  
          >>> us[0] = 128
          >>> s
          0   -128
          1     -1
          2      0
          3      1
          4      2
          dtype: int8