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 geeka = 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 geeka = 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 geeka = 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) |
