Solution:Step 1: Check shapesa shape is (3, 1), b shape is (1, 2).Step 2: Determine stacking methodTo get shape (3, 3), horizontally stack a and b.T (transpose of b) to match rows.Step 3: Apply np.hstack()np.hstack([a, b.T]) stacks arrays horizontally with matching rows.Final Answer:np.hstack([a, b.

[Solved] Given arrays:a = np.array([[1], [2], [3]]) b = np.array([[4, 5]])Which code correctly combines a and b into a single 2D array with shape (3, 3)? | NumPy

NumPy - Array Manipulation

Given arrays:

a = np.array([[1], [2], [3]])
b = np.array([[4, 5]])

Which code correctly combines a and b into a single 2D array with shape (3, 3)?

Anp.hstack((a, b))

Bnp.vstack((a, b))

Cnp.vstack([a.T, b])

Dnp.hstack([a, b.T])

Step-by-Step Solution

Solution:

Step 1: Check shapes
a shape is (3, 1), b shape is (1, 2).
Step 2: Determine stacking method
To get shape (3, 3), horizontally stack a and b.T (transpose of b) to match rows.
Step 3: Apply np.hstack()
np.hstack([a, b.T]) stacks arrays horizontally with matching rows.
Final Answer:
np.hstack([a, b.T]) -> Option D
Quick Check:
hstack adds columns, transpose aligns rows [OK]

Quick Trick: hstack can broadcast rows if compatible [OK]

Common Mistakes:

Trying vstack with incompatible shapes
Not considering broadcasting rules
Using transpose incorrectly

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More NumPy Quizzes

Given arrays:

Step 1: Check shapes

Step 2: Determine stacking method

Step 3: Apply `np.hstack()`

Final Answer:

Quick Check:

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