[Solved] What is the output of the following code?import numpy as np a = np.array([[1, 2, 3], [4, 5, 6]]) b = np.array([10, 20, 30]) result = a + b print(result) | NumPy

NumPy - Broadcasting

What is the output of the following code?

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

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

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

C[[10 20 30] [10 20 30]]

DError due to shape mismatch

Step-by-Step Solution

Solution:

Step 1: Analyze shapes and operation
a shape is (2,3), b shape is (3,). Adding broadcasts b across rows.
Step 2: Calculate element-wise addition
Row 1: [1+10, 2+20, 3+30] = [11, 22, 33]
Row 2: [4+10, 5+20, 6+30] = [14, 25, 36]
Final Answer:
[[11 22 33] [14 25 36]] -> Option A
Quick Check:
Broadcast add across rows = [[11 22 33], [14 25 36]] [OK]

Quick Trick: Add 1D array to 2D rows matches columns [OK]

Common Mistakes:

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