[Solved] Identify the error in this code snippet:import numpy as np arr = np.array([1, 2, 3]) scalar = np.array([5]) result = arr + scalar print(result) | NumPy

NumPy - Broadcasting

Identify the error in this code snippet:

import numpy as np
arr = np.array([1, 2, 3])
scalar = np.array([5])
result = arr + scalar
print(result)

AOutput is [1 2 3 5]

BError because scalar is an array, not a number

CNo error; output is [6 7 8]

DError due to shape mismatch

Step-by-Step Solution

Solution:

Step 1: Check shapes of arrays
arr shape is (3,), scalar shape is (1,). Broadcasting allows (1,) to expand to (3,).
Step 2: Apply broadcasting addition
Each element of arr is added to 5, resulting in [6, 7, 8].
Final Answer:
No error; output is [6 7 8] -> Option C
Quick Check:
Broadcasting works with (3,) + (1,) arrays [OK]

Quick Trick: Arrays with shape (n,) and (1,) broadcast correctly [OK]

Common Mistakes:

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