How to Convert a 1D Array to a Multidimensional Array in Python?

To convert a 1D array (or a 1D list) to a multidimensional array in Python, you can use the numpy library. The numpy library provides functions and classes for working with arrays. You can use the reshape() function to change the shape of the array and convert it into a multidimensional array. Here’s an example:

import numpy as np

array_1d = np.array([1, 2, 3, 4, 5, 6])
num_rows = 2
num_columns = 3

array_2d = np.reshape(array_1d, (num_rows, num_columns))

print(array_2d)

In the code above, we import the numpy library as np. We have a 1D array called array_1d containing elements [1, 2, 3, 4, 5, 6]. We specify the desired number of rows and columns for the multidimensional array using num_rows and num_columns.

We use the np.reshape() function, passing in the array_1d and a tuple (num_rows, num_columns) representing the desired shape of the resulting multidimensional array.

The output will be:

[[1 2 3]
 [4 5 6]]

In this example, the 1D array [1, 2, 3, 4, 5, 6] is converted to a 2D array with two rows and three columns. The elements are arranged in row-major order in the resulting multidimensional array.

Note that the total number of elements in the 1D array must match the product of the number of rows and columns in the desired multidimensional array. Otherwise, a ValueError will occur.