[Solved] Find the mistake in this code that causes a broadcasting error:import numpy as np X = np.array([[1, 2, 3], [4, 5, 6]]) Y = np.array([1, 2]) Z = X + Y | 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, 5, 6]])
Y = np.array([1, 2])
Z = X + Y

AX and Y have incompatible data types

BY should be transposed before addition

CY should be reshaped to (2,1) to broadcast with X

DNo mistake, broadcasting works fine

Step-by-Step Solution

Solution:

Step 1: Check shapes of X and Y
X shape is (2,3), Y shape is (2,). These shapes are incompatible for broadcasting.
Step 2: Fix shape of Y
Reshape Y to (2,1) so it broadcasts across columns of X.
Final Answer:
Y should be reshaped to (2,1) to broadcast with X -> Option C
Quick Check:
Broadcast needs compatible shapes, reshape if needed [OK]

Quick Trick: Reshape 1D arrays to match 2D for broadcasting [OK]

Common Mistakes:

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