NumPy Array Reshaping

✅ 1. Using reshape()

You can convert a 1D array into 2D, 3D, etc.

Example: Convert 1D → 2D

Output:

✅ 2. Reshape to 3 Dimensions

Output:

⚠️ Important Rule: Total Elements Must Match

If the total number of items doesn’t match, reshape will give an error.

❌ Error (because 3 elements cannot be reshaped into a 4-element structure).

✅ 3. Using -1 (Auto Calculate Dimension)

NumPy can automatically calculate missing dimension using -1.

Example:

Output:

✅ 4. Flatten an Array (reshape(-1))

Convert multi-dimensional array back to 1D.

Output:

✅ 5. Check If Reshape Returns a View or Copy

If output is True, reshaping created a view, not a new copy.

Summary Table

🎯 Practical Example

Output: