Compute the inverse of a matrix using NumPy

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.

Python3 1==

# 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 :

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

Output:

11.5555555556

Compute the inverse of a matrix using NumPy

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Python | Numpy matrix.var()

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