[Solved] Identify the error in this code snippet:import numpy as np X = np.array([[1, 2], [3, 4], [5, 6]]) y = np.array([10, 20, 30]) result = X + y | NumPy

NumPy - Broadcasting

Identify the error in this code snippet:

import numpy as np
X = np.array([[1, 2], [3, 4], [5, 6]])
y = np.array([10, 20, 30])
result = X + y

Ay should be reshaped to (3,1) before addition

BNo error, code runs fine

CX and y must have the same number of columns

DShapes (3,2) and (3,) cannot broadcast together

Step-by-Step Solution

Solution:

Step 1: Check shapes of X and y
X shape is (3,2), y shape is (3,). Broadcasting rules require trailing dimensions to match or be 1.
Step 2: Analyze broadcasting compatibility
Here, last dims are 2 (X) and 1 (y) after broadcasting rules, so y broadcasts along columns. The addition works without error.
Final Answer:
No error, code runs fine -> Option B
Quick Check:
Broadcasting allows (3,2) + (3,) by treating (3,) as (3,1) [OK]

Quick Trick: Trailing dimensions must match or be 1 for broadcasting [OK]

Common Mistakes:

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