[Solved] What is the cause of the broadcasting error in this code?import numpy as np x = np.array([1, 2, 3]) y = np.array([[1, 2], [3, 4]]) z = x + y | NumPy

NumPy - Broadcasting

What is the cause of the broadcasting error in this code?

import numpy as np
x = np.array([1, 2, 3])
y = np.array([[1, 2], [3, 4]])
z = x + y

Ax is 1D and y is 2D, which is not allowed

BData types of x and y are different

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

DThe arrays contain different numbers of elements

Step-by-Step Solution

Solution:

Step 1: Check shapes
x has shape (3,), y has shape (2,2).
Step 2: Apply broadcasting rules
Align shapes from right: (3) vs (2,2) - dimensions do not match and neither is 1.
Final Answer:
Shapes (3,) and (2,2) are incompatible for broadcasting -> Option C
Quick Check:
Check trailing dimensions for compatibility [OK]

Quick Trick: Broadcasting requires matching trailing dims or 1 [OK]

Common Mistakes:

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What is the cause of the broadcasting error in this code?