[Solved] What does the np.cumsum() function do when applied to a 1D numpy array? — Ans: Calculates the cumulative sum of the elements step by step | NumPy

NumPy - Aggregation Functions

What does the np.cumsum() function do when applied to a 1D numpy array?

ACalculates the cumulative sum of the elements step by step

BCalculates the product of all elements

CSorts the array in ascending order

DFinds the maximum value in the array

Step-by-Step Solution

Solution:

Step 1: Understand the function purpose
np.cumsum() adds elements cumulatively, meaning each element is the sum of all previous elements plus itself.
Step 2: Compare with other options
Options B, C, and D describe different operations: product, sorting, and max value, which are not what np.cumsum() does.
Final Answer:
Calculates the cumulative sum of the elements step by step -> Option A
Quick Check:
np.cumsum() = cumulative sum [OK]

Quick Trick: Remember: cumsum means running total sum [OK]

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What does the np.cumsum() function do when applied to a 1D numpy array?