Python | Numpy matrix.std()

Python | Numpy matrix.std()

Last Updated : 20 May, 2019

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.

Python3 1=1

# 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 :

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.std() method
geek = gfg.std()
 
print(geek)

Output:

3.3993463424

Python | Numpy matrix.std()

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