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.
# 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 :
# 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]]
