[Solved] What will be the output of this code?import numpy as np arr = np.array([[1, 2], [3, 4]]) cum_sum = np.cumsum(arr, axis=1) print(cum_sum) | NumPy

NumPy - Aggregation Functions

What will be the output of this code?

import numpy as np
arr = np.array([[1, 2], [3, 4]])
cum_sum = np.cumsum(arr, axis=1)
print(cum_sum)

A[[1 2] [3 4]]

B[[1 3] [4 7]]

C[[1 2] [4 6]]

D[[1 3] [3 7]]

Step-by-Step Solution

Solution:

Step 1: Understand axis=1 cumulative sum
Axis 1 means sum across columns (row-wise).
Step 2: Calculate cumulative sums for each row
Row 1: 1, 1+2=3; Row 2: 3, 3+4=7.
Final Answer:
[[1 3] [3 7]] -> Option D
Quick Check:
Axis=1 cumulative sum sums row-wise [OK]

Quick Trick: Axis=1 sums across rows, left to right [OK]

Common Mistakes:

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What will be the output of this code?