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 neveropen = gfg.prod(1)     print(neveropen) |
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 neveropen = gfg.prod(0)     print(neveropen) |
Output:
[[ 28 80 -162]]
