[Solved] What will happen when running this code?import numpy as np x = np.array([1, 2, 3]) y = np.array([[1], [2]]) print(x + y) | NumPy

NumPy - Broadcasting

What will happen when running this code?

import numpy as np
x = np.array([1, 2, 3])
y = np.array([[1], [2]])
print(x + y)

ABroadcasting error due to incompatible shapes

B[[2 3 4] [3 4 5]]

C[[2 3] [3 4] [4 5]]

D[[1 2 3] [1 2 3]]

Step-by-Step Solution

Solution:

Step 1: Check shapes of x and y
x shape is (3,), y shape is (2,1). Shapes are compatible for broadcasting.
Step 2: Apply broadcasting
y broadcasts across columns, x broadcasts across rows, resulting in shape (2,3).
Final Answer:
[[2 3 4] [3 4 5]] -> Option B
Quick Check:
Broadcasting expands y and x to (2,3) shape [OK]

Quick Trick: Broadcasting aligns dimensions from the end for addition [OK]

Common Mistakes:

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