Beginner

Create and Reshape a NumPy Array

Beginner

~8 min

code completion

Create and Reshape a NumPy Array

NumPy arrays are the building block of all numerical computing in Python. Unlike Python lists, they are stored contiguously in memory and support vectorized operations.

Your task:

1. Create a 1D array of integers from 1 to 12 (inclusive) using np.arange.

2. Reshape it into a 3×4 matrix (3 rows, 4 columns).

3. Return the reshaped matrix.

Hint: np.arange(start, stop) excludes stop. A 3×4 matrix has 3 rows and 4 columns.

Expected output shape: (3, 4)
Expected first row:    [1, 2, 3, 4]
Expected last row:     [9, 10, 11, 12]

Example Tests

Output shape is (3, 4)

Expected: [3,4]

First row is [1, 2, 3, 4]

Expected: [1,2,3,4]

Last element is 12

Expected: 12

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