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)

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)