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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() method
v = a.view('int32')
print("\n After using view() with dtype = 'int32' a is : \n", a)
 
v += 1
 
# addition of 1 to each element of v
print("\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() method
v = a.view('int16')
print("\n After using view() with dtype = 'int16' a is :\n", a)
 
v += 1
# addition of 1 to each element of v
print("\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 v
print("\n After using view() with dtype = 'int8' and adding 1 a is : \n", a)


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