[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]) C = A + B print(C) | 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])
C = A + B
print(C)

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

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

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

DValueError due to shape mismatch

Step-by-Step Solution

Solution:

Step 1: Understand shapes of A and B
A has shape (2,3), B has shape (3,). B will broadcast across rows of A.
Step 2: Perform element-wise addition
Each row of A adds B: [1+10, 2+20, 3+30] = [11, 22, 33], [4+10, 5+20, 6+30] = [14, 25, 36].
Final Answer:
[[11 22 33] [14 25 36]] -> Option A
Quick Check:
Broadcast adds vector to each matrix row [OK]

Quick Trick: Add vector to each matrix row when vector shape matches columns [OK]

Common Mistakes:

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