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# What is the numpy.cumsum() function in NumPy? Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

### Overview

The numpy.cumsum() function in NumPy is used to compute the cumulative sum of elements in a given input array over a given axis.

### Syntax

numpy.cumsum(a, axis=None, dtype=None, out=None)


### Parameter value

The numpy.cumsum() function takes the following parameter values:

• a (required): The input array containing numbers is to be computed.
• axis(optional): The axis along which the product is determined.
• dtype (optional): The data type of the output array.
• out (optional): The alternate array where the result is placed.

### Return value

The numpy.cumsum() function returns an output array holding the result.

### Example

import numpy as np# creating an arrayx = np.array([1, 2, 3])# Implementing the numpy.cumsum() function myarray = np.cumsum(x, axis=0)print(x)print(myarray)
Implementing the numpy.cumsum() function

### Explanation

Here is a line-by-line explanation of the above code:

• Line 1: We import the numpy module.
• Line 4: We create an array, x, using the array() method.
• Line 7: We implement the np.cumsum() function on the array. The result is assigned to a variable, myarray.
• Line 9: We print the input array x.
• Line 10: We print the variable myarray.

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function
numpy
python
communitycreator

CONTRIBUTOR Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

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