[Solved] What is the best fix for this 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

What is the best fix for this broadcasting error?

import numpy as np
x = np.array([[1, 2, 3], [4, 5, 6]])
y = np.array([1, 2])
z = x + y

AReshape y to (3,1) before addition

BReshape y to (1,2) before addition

CReshape y to (2,1) before addition

DNo fix needed, code runs fine

Step-by-Step Solution

Solution:

Step 1: Check shapes of x and y
x shape is (2,3), y shape is (2,). Shapes are incompatible for broadcasting.
Step 2: Reshape y to match x's first dimension
Reshaping y to (2,1) allows broadcasting across columns.
Final Answer:
Reshape y to (2,1) before addition -> Option C
Quick Check:
Reshape y to (2,1) fixes broadcasting error [OK]

Quick Trick: Match dimensions by reshaping arrays to fix broadcasting errors [OK]

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