Python | Numpy matrix.var()

Last Updated : 29 May, 2019

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

Syntax : matrix.var()
Return : Return variance of a matrix

Example #1 :
In this example we can see that by using matrix.var() method we are able to find the variance of a 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.var() method 
geek = gfg.var() 
    
print(geek) 

Output:

17.5

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