Python | Numpy matrix.var()

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.



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# 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)

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Output:

17.5

Example #2 :

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# 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)

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Output:

11.5555555556


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