[Solved] What is the issue with this code snippet?import numpy as np a = np.array([[1, 2], [3, 4]]) b = np.array([1, 2, 3]) print(a + b) | NumPy

NumPy - Broadcasting

What is the issue with this code snippet?

import numpy as np
a = np.array([[1, 2], [3, 4]])
b = np.array([1, 2, 3])
print(a + b)

A'b' needs to be reshaped to (3, 1) before addition.

BShapes of 'a' and 'b' are incompatible for broadcasting.

CThe code will run without any errors.

D'a' should be a 1D array to add with 'b'.

Step-by-Step Solution

Solution:

Step 1: Check shapes
a shape is (2, 2), b shape is (3,). These shapes are incompatible for broadcasting.
Step 2: Broadcasting rules
For broadcasting, trailing dimensions must be equal or one of them must be 1. Here, 2 vs 3 fails this rule.
Step 3: Result
Attempting a + b raises a ValueError due to incompatible shapes.
Final Answer:
Shapes of 'a' and 'b' are incompatible for broadcasting. -> Option B
Quick Check:
Check trailing dimensions for broadcasting compatibility. [OK]

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

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What is the issue with this code snippet?