Python | Numpy matrix.transpose()

Python | Numpy matrix.view()

Last Updated : 29 May, 2019

With the help of Numpy matrix.view() method, we can find the new view of a the matrix by using the matrix.view() method.

Syntax : matrix.view() Return : Return new view for same matrix

Example #1 : In this example we can see that by using matrix.view() method we are able to find the new view of the given matrix.

Python3 1==

# import the important module in python
import numpy as np
            
# make matrix with numpy
gfg = np.matrix('[4, 1; 12, 3]')
            
# applying matrix.view() method
geek = gfg.view()
  
print(geek)

Output:

[[ 4  1]
 [12  3]]

Example #2 :

Python3 1==

# import the important module in python
import numpy as np
            
# make matrix with numpy
gfg = np.matrix('[4, 1, 9; 12, 3, 1; 4, 5, 6]')
            
# applying matrix.view() method
geek = gfg.view()
  
print(geek)

Output:

[[ 4  1  9]
 [12  3  1]
 [ 4  5  6]]

Python | Numpy matrix.transpose()

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