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Python | Numpy matrix.prod()

Last Updated : 15 Apr, 2019
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With the help of Numpy matrix.prod() method, we can get the cumulative product of all the elements on the same axis from given matrix.

Syntax : matrix.prod(axis)

Return : Return product from given matrix

Example #1 :
In this example we can see that we are able to get the product of all the elements on the same axis from a given matrix with the help of method matrix.prod().




# import the important module in python
import numpy as np
          
# make matrix with numpy
gfg = np.matrix('[64, 1; 12, 3]')
          
# applying matrix.prod() method
geeks = gfg.prod(1)
    
print(geeks)


Output:

[[64]
 [36]]

Example #2 :




# import the important module in python
import numpy as np
          
# make a matrix with numpy
gfg = np.matrix('[1, 2, 3; 4, 5, 6; 7, 8, -9]')
          
# applying matrix.prod() method
geeks = gfg.prod(0)
    
print(geeks)


Output:

[[  28   80 -162]]

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