How to Display an Image in Python: A Simple Guide

Displaying an image in Python might seem like a daunting task at first, especially for beginners. However, with the right tools and a bit of code, you can easily show any image within your Python application. This guide will walk you through the process step by step, ensuring you can display images effortlessly in your projects.

Choosing the Right Library

Before diving into the code, it's essential to select an appropriate library for displaying images. While Python does not have built-in support for image display, several third-party libraries make this task straightforward. One of the most popular and widely used libraries for this purpose is Pillow. It's a fork of the PIL (Python Imaging Library) library, designed to add image processing capabilities to your Python interpreter.

Installing Pillow

To get started, you first need to install the Pillow library. You can do this easily using pip, Python's package installer. Open your terminal or command prompt and run the following command:

pip install Pillow

Displaying an Image

Once you have Pillow installed, displaying an image is just a matter of a few lines of code. Here's a simple example to show how it's done:

from PIL import Image

# Load the image
image ='path/to/your/image.jpg')

# Display the image

In this example, replace 'path/to/your/image.jpg' with the actual path to the image you want to display. When you run this script, a window should pop up displaying your chosen image. It's that simple!


Displaying images in Python doesn't have to be complicated. With the help of the Pillow library, you can add image display functionality to your Python applications with minimal effort. Whether you're working on a GUI application, a web project, or any other type of application that requires image processing, knowing how to display images is an invaluable skill.

Remember, the key steps are installing Pillow, loading your image with, and then displaying it with With these tools in your arsenal, you're well on your way to creating visually engaging Python applications.

Happy coding!