With the help of Numpy matrix.cumprod() method, we are able to find a cumulative product of a given matrix and gives output as one dimensional matrix.
Syntax :
matrix.cumprod()Return : Return cumulative product of matrix
Example #1 :
In this example we can see that with the help of matrix.cumprod() method we are able to find the cumulative product of a given matrix.
# import the important module in python import numpy as np          # make matrix with numpy gfg = np.matrix('[6, 2, 3]')          # applying matrix.cumprod() method neveropen = gfg.cumprod()    print(neveropen) |
[[ 6 12 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]')          # applying matrix.cumprod() method neveropen = gfg.cumprod()    print(neveropen) |
[[ 1 2 6 24 120 720]]
