numpy.ndarray.view() in Python

• Last Updated : 27 Aug, 2021

numpy.ndarray.view() helps to get a new view of array with the same data.

Syntax: ndarray.view(dtype=None, type=None)
Parameters:
dtype : Data-type descriptor of the returned view, e.g., float32 or int16. The default, None, results in the view having the same data-type as a.
type : Python type, optional
Returns : ndarray or matrix.

Code #1:

Python3

 # Python program explaining # numpy.ndarray.view() function import numpy as geek a = geek.arange(10, dtype ='int16') print("a is: \n", a) # using view() methodv = a.view('int32')print("\n After using view() with dtype = 'int32' a is : \n", a) v += 1 # addition of 1 to each element of vprint("\n After using view() with dtype = 'int32' and adding 1 a is : \n", a)
Output:
a is:
[0 1 2 3 4 5 6 7 8 9]

After using view() with dtype = 'int32' a is :
[0 1 2 3 4 5 6 7 8 9]

After using view() with dtype = 'int32' and adding 1 a is :
[1 1 3 3 5 5 7 7 9 9]

Code #2:

Python3

 # Python program explaining # numpy.ndarray.view() function import numpy as geek a = geek.arange(10, dtype ='int16')print("a is:", a) # Using view() methodv = a.view('int16')print("\n After using view() with dtype = 'int16' a is :\n", a) v += 1# addition of 1 to each element of vprint("\n After using view() with dtype = 'int16' and adding 1 a is : \n", a)
Output:
a is: [0 1 2 3 4 5 6 7 8 9]

After using view() with dtype = 'int16' a is :
[0 1 2 3 4 5 6 7 8 9]

After using view() with dtype = 'int16' and adding 1 a is :
[ 1  2  3  4  5  6  7  8  9 10]

Code #3:

Python3

 # Python program explaining # numpy.ndarray.view() function import numpy as geek a = geek.arange(10, dtype ='int16')print("a is: \n", a) v = a.view('int8')print("\n After using view() with dtype = 'int8' a is : \n", a) v += 1# addition of 1 to each element of vprint("\n After using view() with dtype = 'int8' and adding 1 a is : \n", a)

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