[Solved] Which of the following NumPy operations will cause a broadcasting error? — Ans: np.array([1, 2, 3]) + np.array([[1, 2], [3, 4]]) | NumPy

NumPy - Broadcasting

Which of the following NumPy operations will cause a broadcasting error?

Anp.array([1, 2, 3]) + np.array([[1, 2], [3, 4]])

Bnp.array([1, 2, 3]) + np.array([4, 5, 6])

Cnp.array([1, 2, 3]) + np.array([[1], [2], [3]])

Dnp.array([[1], [2], [3]]) + np.array([4])

Step-by-Step Solution

Solution:

Step 1: Check shapes of arrays in each option
np.array([1, 2, 3]) + np.array([[1, 2], [3, 4]]) adds shape (3,) and (2,2), which are incompatible for broadcasting.
Step 2: Confirm broadcasting compatibility
Other options have compatible shapes: (3,) and (3,1), (3,) and (3,), (3,1) and (1,).
Final Answer:
np.array([1, 2, 3]) + np.array([[1, 2], [3, 4]]) -> Option A
Quick Check:
Shape mismatch causes error [OK]

Quick Trick: Compare array shapes dimension-wise from right [OK]

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Which of the following NumPy operations will cause a broadcasting error?