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.
Data type object or one of their string representations.
A new Series object as a view of the same data in memory.
Equivalent numpy function to create a new view of the same data in memory.
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.
>>> s = pd.Series([-2, -1, 0, 1, 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')
The views share the same underlying values:
>>> us = 128