Faster, better AI-powered code reviews. Start your free trial!
Faster, better AI-powered code reviews.

## Python 2d List: Python Explained

Python is a programming language that is versatile and popular across the computing world. One of the features of Python that makes it so powerful is its 2d list. A 2d list, or array, is a complex data structure that stores data in a matrix form and takes advantage of many of the built-in features of Python. In this article, we will explain what a python 2d list is, how to create one, access elements from it, modify elements, use loops with it, slice it, merge and join lists, iterate over it and explore some of the common uses for it.

## What is a Python 2d List?

A Python 2d list is an array that stores values in a matrix form. It is similar to a two-dimensional array in other languages, but provides extra functionality and flexibility in Python. With a 2d list in Python, you can store multiple values within an array rather than just one value for each element. It makes working with multiple data values easy and efficient.

Python 2d lists are also useful for creating matrices, which are used in many mathematical and scientific applications. They can also be used to store data in a tabular format, making it easier to visualize and analyze data. Additionally, Python 2d lists can be used to store images, making them a powerful tool for image processing.

## How to Create a Python 2d List

Creating a 2d list in Python is easy. You can use the built-in list function to create a 2d array. Here is an example of creating a 2d list by using the list function:

``my_2d_list = [[1, 2, 3],               [4, 5, 6],               [7, 8, 9]]``

This creates a 2d list containing three inner lists. These inner lists themselves can contain any type of data you want, such as strings or even other lists. You can also create a 2d list by nested looping, however this approach can be more cumbersome than using the list function.

You can also use the NumPy library to create a 2d list. This library provides a number of functions that make it easier to create and manipulate 2d lists. Additionally, NumPy can be used to perform mathematical operations on 2d lists, such as matrix multiplication.

## Accessing Elements in a Python 2d List

You can access different elements in a Python 2d list by using square brackets to specify the row and column index. For example:

``print(my_2d_list[1][2])This will print 6 to the console.``

Note that indexing for the inner lists starts from 0. That means the first row and the first column are at index 0. So in the example above, we are accessing the element at index 1 in the second row and index 2 in the third column.

It is important to remember that the row and column indices are zero-based, meaning that the first row and column are at index 0. This means that if you want to access the last element in a 2d list, you need to use the index -1. For example, if you have a 2d list with 5 rows and 5 columns, the last element will be at index [4][4].

## Modifying Elements in a Python 2d List

You can modify elements in a 2d list in Python by using square brackets to specify the row and column index of the element you want to modify. For example:

``my_2d_list[1][2] = 10This will set the element at index 1 in the second row and index 2 in the third column to 10.``

You can also use negative indices to access elements from the end of the list. For example, if you wanted to access the last element in the second row, you could use the following code:

``my_2d_list[1][-1]``

## Using Loops with Python 2d Lists

You can leverage the power of loops when working with 2d lists in Python. For example, you might use a for loop to print out all of the elements in a 2d list. You could do this as follows:

``for element in my_2d_list:    print(element)This will print out each element in my_2d_list to the console.``

You can also use a nested for loop to iterate through each element in a 2d list. This can be done as follows:

``for row in my_2d_list:    for element in row:        print(element)This will print out each element in my_2d_list to the console.``

## Slicing a Python 2d List

Slicing allows you to access specific parts of an array. This can be useful for extracting specific elements from a 2d list. You can use square brackets after the name of your list followed by two colons to define what portion of your list you want to extract. For example:

``my_2d_list[0:2]This will return a new list containing the first two rows of my_2d_list.``

You can also use negative numbers to slice a 2d list. For example, if you wanted to extract the last two rows of a list, you could use the following code:

``my_2d_list[-2:]This will return a new list containing the last two rows of my_2d_list.``

## Merging and Joining Two or More Python 2d Lists

You can merge and join two or more Python 2d lists easily. You can use the plus operator (+) to join two lists together like this:

``list_1 = [[1, 2], [3, 4]] list_2 = [[5, 6], [7, 8]]    # Merging list_1 and list_2  merged_list = list_1 + list_2    # Printing merged_list  print(merged_list) This will output [[1, 2], [3, 4], [5, 6], [7, 8]].``

You can also use the extend() method to join two lists together. This method adds the elements of one list to the end of another list. For example:

``list_1 = [[1, 2], [3, 4]] list_2 = [[5, 6], [7, 8]]    # Merging list_1 and list_2  list_1.extend(list_2)    # Printing list_1  print(list_1) This will output [[1, 2], [3, 4], [5, 6], [7, 8]].``

## Iterating Over a Python 2d List

You can also iterate over a Python 2d list. This means that you can loop through all of the elements contained within it without needing to know their exact positions or indices. This can be useful for operations such as printing out each element contained within your list. To do this, you can use a nested for loop:

``for row in my_2d_list:     for element in row:         print(element) This will print out each element contained within my_2d_list on its own line.``

## Common Uses of a Python 2d List

Python 2d lists are useful for data analysis, image processing and other types of scientific computing. Many scientific libraries such as NumPy and Matplotlib rely on 2d lists to store different datasets and do calculations on them. In addition to that, they are also useful for storing board game grids, representing coordinates on a map or creating virtual worlds.

In conclusion, Python 2d lists are powerful arrays that allow you to quickly and efficiently manipulate multiple data values. They are easy to create and can be used for a variety of tasks ranging from data analysis to gaming.

#### Sarang Sharma

Sarang Sharma is Software Engineer at Bito with a robust background in distributed systems, chatbots, large language models (LLMs), and SaaS technologies. With over six years of experience, Sarang has demonstrated expertise as a lead software engineer and backend engineer, primarily focusing on software infrastructure and design. Before joining Bito, he significantly contributed to Engati, where he played a pivotal role in enhancing and developing advanced software solutions. His career began with foundational experiences as an intern, including a notable project at the Indian Institute of Technology, Delhi, to develop an assistive website for the visually challenged.

## Compare Two Strings in JavaScript: A Detailed Guide for Efficient String Comparison

Get Bito for IDE of your choice