[Solved] What is the output of the following code?import numpy as np arr = np.array([1, 4, 7, 10]) result = np.where(arr > 5, arr, 0) print(result) | NumPy

NumPy - Indexing and Slicing

What is the output of the following code?

import numpy as np
arr = np.array([1, 4, 7, 10])
result = np.where(arr > 5, arr, 0)
print(result)

A[7 10 0 0]

B[0 0 7 10]

C[1 4 0 0]

D[1 4 7 10]

Step-by-Step Solution

Solution:

Step 1: Check condition arr > 5
Elements greater than 5 are 7 and 10 at indices 2 and 3.
Step 2: Apply np.where to replace others with 0
Elements not greater than 5 (1 and 4) become 0, others stay the same.
Final Answer:
[0 0 7 10] -> Option B
Quick Check:
np.where(condition, arr, 0) replaces False with 0 [OK]

Quick Trick: np.where replaces False with third argument [OK]

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