[Solved] Identify the error in this code snippet:import numpy as np A = np.array([1, 2, 3]) B = np.array([[1, 2], [3, 4]]) C = A + B | NumPy

NumPy - Broadcasting

Identify the error in this code snippet:

import numpy as np
A = np.array([1, 2, 3])
B = np.array([[1, 2], [3, 4]])
C = A + B

AShapes (3,) and (2,2) are incompatible for broadcasting

BData types of A and B do not match

CArrays must be transposed before addition

DNo error, code runs correctly

Step-by-Step Solution

Solution:

Step 1: Check shapes of A and B
A shape is (3,), B shape is (2,2). These shapes cannot broadcast because dimensions differ and none is 1.
Step 2: Confirm broadcasting rules
Broadcasting requires dimensions to be equal or one to be 1, which is not true here.
Final Answer:
Shapes (3,) and (2,2) are incompatible for broadcasting -> Option A
Quick Check:
Broadcasting fails if shapes incompatible [OK]

Quick Trick: Check shape compatibility before adding arrays [OK]

Common Mistakes:

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