np.concatenate((a, b))joins arrays.np.vstack()stacks vertically,np.hstack()horizontally.np.array_split(arr, n)splits into n parts.
NumPy Join & Split
Concatenate and split arrays.
✍️ 3 exercises + code challenge in this lessonKey Takeaways: NumPy Join & Split
Mastering NumPy Join & Split 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 Join & Split Code Example
NumPyimport numpy as np
a = np.array([1, 2, 3])
b = np.array([4, 5, 6])
print(np.concatenate((a, b)))
print(np.vstack((a, b)))
print(np.array_split(np.arange(6), 3))Output
[1 2 3 4 5 6] [[1 2 3] [4 5 6]] [array([0, 1]), array([2, 3]), array([4, 5])]
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NumPy Join & Split Practice Exercises
Check what you learned in “NumPy Join & Split”.
/ 3 solved
Fill in the blank
Join two arrays end to end.
np.((a, b))
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Multiple choice
Which function stacks arrays vertically (as rows)?
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Code challenge
Join a and b and print the result as a list.
Write the code in the live editor. Your answer is checked automatically.
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