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Python | Numpy ndarray.item()
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numpy.ndarray.view() in Python

Last Updated : 01 Mar, 2024
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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 
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)

Output:

a is: 
 [0 1 2 3 4 5 6 7 8 9] After using view() with dtype = 'int8' a is : 
 [0 1 2 3 4 5 6 7 8 9] After using view() with dtype = 'int8' and adding 1 a is : 
 [257 258 259 260 261 262 263 264 265 266]

Next Article
Python | Numpy ndarray.item()

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ArkadipGhosh
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Article Tags :
  • Python
  • Python-numpy
  • Python numpy-ndarray
Practice Tags :
  • python

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