[Solved] What is the result of applying np.cumsum() to a 1D numpy array arr? — Ans: An array where each element is the sum of all previous elements including the... | NumPy

NumPy - Aggregation Functions

What is the result of applying np.cumsum() to a 1D numpy array arr?

AA single scalar value representing the total sum of the array

BAn array of the same shape with all elements squared

CAn array where each element is the sum of all previous elements including the current one

DAn array with elements sorted in ascending order

Step-by-Step Solution

Solution:

Step 1: Understand np.cumsum()
The function computes the cumulative sum of elements along a given axis.
Step 2: Apply to 1D array
Each element in the output is the sum of all elements up to that index in the input array.
Final Answer:
An array where each element is the sum of all previous elements including the current one -> Option C
Quick Check:
Check if output length equals input length and sums accumulate [OK]

Quick Trick: Cumulative sum adds elements progressively [OK]

Common Mistakes:

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What is the result of applying np.cumsum() to a 1D numpy array arr?