With the help of Numpy matrix.cumsum() method, we are able to find a cumulative sum of a given matrix and gives output as one dimensional matrix.
Syntax :
matrix.cumsum()Return : Return cumulative sum of matrix
Example #1 :
In this example we can see that with the help of matrix.cumsum() method we are able to find the cumulative sum of a given array.
# import the important module in python import numpy as np # make matrix with numpy gfg = np.matrix('[6, 2, 3]') # applying matrix.cumsum() method neveropen = gfg.cumsum() print(neveropen) |
Output:
[[ 6 8 11]]
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.cumsum() method neveropen = gfg.cumsum() print(neveropen) |
Output:
[[ 1 3 6 10 15 21]]
