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Python | Numpy matrix.var()

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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)

                    
Output:
11.5555555556

Last Updated : 29 May, 2019
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