import numpy as np
"""
This script demonstrates how to reshape NumPy arrays into different dimensions.
Functionality:
1. Creates a 1D NumPy array with values from 0 to 11.
2. Reshapes the 1D array into a 3x4 2D array and prints it.
3. Reshapes the same 1D array into a 2x2x3 3D array and prints it.
4. Creates another 1D NumPy array with values from 0 to 4.
5. Reshapes this array into a 2D column vector (shape: 5x1) and prints it.
Usage:
- Demonstrates the use of `np.arange` for array creation.
- Shows how to use the `reshape` method for changing array dimensions.
"""

# Creating a 1D array from 0 to 11 inclusive
array = np.arange(12)
# Reshaping the array to a 3x4 2D array (matrix)
reshaped_array_2d = array.reshape(3, 4)
print(reshaped_array_2d)
# Reshaping the array to a 2x2x3 3D array
reshaped_array_3d = array.reshape(2, 2, 3)
print(reshaped_array_3d)


import numpy as np
# Creating a 1D array from 0 to 4 inclusive
array = np.arange(5)

# Reshaping the array to a 2D array with one column
reshaped_array = array.reshape(-1, 1)
print(reshaped_array)

array = np.arange(18)

# Reshaping the array to a 2D array with three columns
reshaped_array = array.reshape(-1, 3)
print(reshaped_array)