NumPy Concatenate and Stacking

Combine arrays along new or existing axes using vstack and hstack.

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NumPy provides multiple functions to join arrays: np.concatenate() joins along an existing axis, np.vstack() stacks vertically (row-wise), and np.hstack() stacks horizontally.

Key Takeaways: NumPy Concatenate and Stacking

Mastering NumPy Concatenate and Stacking helps you write clean and reliable NumPy code. Follow standard conventions, test edge cases, and keep logic simple. Try running the code example below and complete the exercises to build confidence.

NumPy Concatenate and Stacking Code Example

NumPy

import numpy as np

a = np.array([1, 2, 3])
b = np.array([4, 5, 6])

v_stacked = np.vstack((a, b))
print("Vertical Stack:\n", v_stacked)

Output

Vertical Stack:
 [[1 2 3]
 [4 5 6]]

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NumPy Concatenate and Stacking

💡 Key Takeaways: NumPy Concatenate and Stacking

NumPy Concatenate and Stacking Code Example

Key Takeaways: NumPy Concatenate and Stacking