A list is a data structure that allows you to store multiple values of objects in a single variable. Suppose you have a list and want to convert it into a 2D Array in python then how you will do it? In this entire tutorial, you will learn how to convert a list to a 2D array with various methods.
Create Sample List
Before going to the demonstration part first create a sample list that will be used to implement the various method.
Run the below lines of code to create a dummy list.
my_list = [10,20,30,40,50,60,70,80]
Methods to convert a list to a 2d array in python
Let’s know all the methods to convert the list to a 2D array.
Method 1: Convert a list to a 2d array in python using Numpy
In this method, I will use the numpy python package for the conversion of the list to a 2D array. Use the below lines of code to implement the conversion.
import numpy as np my_list = [10,20,30,40,50,60,70,80] final_list= numpy_array = np.array(my_list).reshape(-1, 2) list_2d = list(numpy_array) for e in range(len(list_2d)): final_list.append(list(list_2d[e])) print(final_list)
Here I have created an empty list that will store all the elements of the list converted in a numpy array as a list. You will get the output as below.
Method 2: Convert list to 2d array python without numpy
The second method to convert a list to 2d without numpy is the use of the custom function. Here you will define some algo that will convert any list to a 2d array of any dimensions. Let’s create the function using the below lines of code.
def list_2d(list1,rows, columns): result= start = 0 end = columns for i in range(rows): result.append(list1[start:end]) start +=columns end += columns return result
Let’s say the list is to be converted to 2 rows and 4 columns then I will add the below lines of code.
my_list = [10,20,30,40,50,60,70,80] list_2d(my_list,2, 4)
In the same way, you can use 3 and 4 for 3 rows and 4 columns.
There can be many ways or methods to convert the list to a 2D array. Here I have written the best two methods to convert any list to a 2D array. One with NumPy and one without numpy or simply custom function.
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