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.
# import the important module in pythonimport numpy as np # make matrix with numpygfg = np.matrix('[4, 1; 12, 3]') # applying matrix.var() methodgeek = gfg.var() print(geek) |
Output:
17.5
Example #2 :
# import the important module in pythonimport numpy as np # make matrix with numpygfg = np.matrix('[4, 1, 9; 12, 3, 1; 4, 5, 6]') # applying matrix.var() methodgeek = gfg.var() print(geek) |
Output:
11.5555555556
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