✂️ NumPy Splitting Arrays (Complete Guide)

Splitting arrays is the opposite of joining arrays — it divides one array into multiple smaller sub-arrays.

NumPy provides these main split methods:

✔ array_split()
✔ split()
✔ hsplit()
✔ vsplit()
✔ dsplit()

✅ 1. np.array_split() (Most Flexible)

You can split an array into equal or unequal pieces.

Output:

💡 If the array can’t be divided equally, it will automatically adjust.

❌ 2. np.split() (Strict Split)

split() only works if the array is split equally.

Output:

But this is ❌ invalid:

✅ 3. Splitting 2D Arrays

Split along Columns (axis=1)

🚀 Horizontal Split — hsplit()

Splits array column-wise.

Output:

🚀 Vertical Split — vsplit()

Splits array row-wise.

Output:

🚀 Depth Split — dsplit()

For 3D arrays.

📌 Summary Table

🎯 Example Challenge

Split this array into 4 parts: