[Solved] What will be the output of this code?import numpy as np x = np.array([[1, 2, 3], [4, 5, 6]]) y = np.array([10, 20, 30]) print(x + y) | NumPy

NumPy - Broadcasting

What will be the output of this code?

import numpy as np
x = np.array([[1, 2, 3], [4, 5, 6]])
y = np.array([10, 20, 30])
print(x + y)

A[[11 22 33] [14 25 36] [10 20 30]]

B[[10 20 30] [10 20 30]]

CBroadcasting error

D[[11 22 33] [14 25 36]]

Step-by-Step Solution

Solution:

Step 1: Check shapes of x and y
x shape is (2,3), y shape is (3,). Trailing dimensions match.
Step 2: Apply broadcasting rules
y broadcasts to each row of x, adding element-wise.
Final Answer:
[[11 22 33] [14 25 36]] -> Option D
Quick Check:
Broadcasting adds y to each row of x [OK]

Quick Trick: Trailing dimension match allows row-wise addition [OK]

Common Mistakes:

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