With the help of matrix.std() method, we are able to find the standard deviation a matrix by using the same method.
Syntax :
matrix.std()
Return : Return standard deviation of a matrix
Example #1 :
In this example we are able to find the standard deviation of a matrix by using matrix.std() method.
# import the important module in python import numpy as np              # make matrix with numpy gfg = np.matrix('[4, 1; 12, 3]')              # applying matrix.std() method geek = gfg.std()    print(geek) |
Output:
4.18330013267
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.std() method geek = gfg.std()    print(geek) |
Output:
3.3993463424
