[Solved] What is the output of the following code?import numpy as np arr = np.array([10, 20, 30, 40]) result = np.where(arr > 25, arr, 0) print(result) | NumPy

NumPy - Indexing and Slicing

What is the output of the following code?

import numpy as np
arr = np.array([10, 20, 30, 40])
result = np.where(arr > 25, arr, 0)
print(result)

A[ 0 0 30 40]

B[10 20 30 40]

C[10 20 0 0]

D[30 40 0 0]

Step-by-Step Solution

Solution:

Step 1: Evaluate the condition arr > 25
Elements greater than 25 are 30 and 40 at indices 2 and 3.
Step 2: Apply np.where() selection
For elements > 25, keep original value; else replace with 0. So result is [0, 0, 30, 40].
Final Answer:
[ 0 0 30 40] -> Option A
Quick Check:
Condition true keeps value, false replaces with 0 [OK]

Quick Trick: Check condition element-wise, replace false with second array [OK]

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