[Solved] What will be the output of the following code?import numpy as np shape = np.broadcast_shapes((4, 1, 3), (1, 5, 3)) print(shape) | NumPy

NumPy - Broadcasting

What will be the output of the following code?

import numpy as np
shape = np.broadcast_shapes((4, 1, 3), (1, 5, 3))
print(shape)

A(4, 1, 3)

B(4, 5, 3)

C(1, 5, 3)

DValueError: shapes not compatible

Step-by-Step Solution

Solution:

Step 1: Compare shapes dimension-wise from right
Rightmost dims: 3 and 3 match. Next dims: 1 and 5, 1 broadcasts to 5. Leftmost dims: 4 and 1, 1 broadcasts to 4.
Step 2: Determine broadcasted shape
Broadcasted shape is (4, 5, 3) combining max of each dimension.
Final Answer:
(4, 5, 3) -> Option B
Quick Check:
Broadcast dims max or 1 expands [OK]

Quick Trick: Broadcast dims take max or 1 expands to max [OK]

Common Mistakes:

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