[Solved] Find the mistake in this code that causes a broadcasting error:import numpy as np X = np.array([[1, 2], [3, 4]]) Y = np.array([1, 2, 3]) Z = X + Y print(Z) | NumPy

NumPy - Broadcasting

Find the mistake in this code that causes a broadcasting error:

import numpy as np
X = np.array([[1, 2], [3, 4]])
Y = np.array([1, 2, 3])
Z = X + Y
print(Z)

AX and Y have different data types

BNo mistake, code runs fine

CX is not a numpy array

DY has incompatible shape (3,) for broadcasting with X shape (2,2)

Step-by-Step Solution

Solution:

Step 1: Check shapes of X and Y
X shape is (2,2), Y shape is (3,). Broadcasting compares dimensions from right to left.
Step 2: Determine broadcasting compatibility
Last dims: 2 vs 3 - not equal and neither is 1, so broadcasting fails.
Final Answer:
Y has incompatible shape (3,) for broadcasting with X shape (2,2) -> Option D
Quick Check:
Broadcasting requires compatible dimension sizes [OK]

Quick Trick: Broadcasting fails if last dims differ and neither is 1 [OK]

Common Mistakes:

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