[Solved] What is the output of this code?import numpy as np x = np.array([[1, 2, 3], [4, 5, 6]]) y = np.array([10, 20]) result = x + y print(result) | NumPy

NumPy - Broadcasting

What is the output of this code?

import numpy as np
x = np.array([[1, 2, 3], [4, 5, 6]])
y = np.array([10, 20])
result = x + y
print(result)

ABroadcasting error

B[[11 12 13] [14 15 16]]

C[[11 12 13] [24 25 26]]

D[[11 22 13] [14 25 16]]

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 not compatible for broadcasting because trailing dimensions differ and y cannot be stretched to match x.
Step 2: Predict result of x + y
Since shapes are incompatible, NumPy raises a broadcasting error.
Final Answer:
Broadcasting error -> Option A
Quick Check:
Shape (2,3) + (2,) = error [OK]

Quick Trick: Match shapes from right; trailing dims must be equal or 1 [OK]

Common Mistakes:

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