# Python | Numpy matrix.cumsum()

• Last Updated : 12 Apr, 2019

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``geeks ``=` `gfg.cumsum()``  ` `print``(geeks)`
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``geeks ``=` `gfg.cumsum()``  ` `print``(geeks)`
Output:
```[[ 1  3  6 10 15 21]]
```
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