Book Image

Python GUI Programming - A Complete Reference Guide

By : Alan D. Moore, B. M. Harwani
Book Image

Python GUI Programming - A Complete Reference Guide

By: Alan D. Moore, B. M. Harwani

Overview of this book

A responsive graphical user interface (GUI) helps you interact with your application, improves user experience, and enhances the efficiency of your applications. With Python, you’ll have access to elaborate GUI frameworks that you can use to build interactive GUIs that stand apart from the rest. This Learning Path begins by introducing you to Tkinter and PyQt, before guiding you through the application development process. As you expand your GUI by adding more widgets, you'll work with networks, databases, and graphical libraries that enhance its functionality. You'll also learn how to connect to external databases and network resources, test your code, and maximize performance using asynchronous programming. In later chapters, you'll understand how to use the cross-platform features of Tkinter and Qt5 to maintain compatibility across platforms. You’ll be able to mimic the platform-native look and feel, and build executables for deployment across popular computing platforms. By the end of this Learning Path, you'll have the skills and confidence to design and build high-end GUI applications that can solve real-world problems. This Learning Path includes content from the following Packt products: Python GUI Programming with Tkinter by Alan D. Moore Qt5 Python GUI Programming Cookbook by B. M. Harwani
Table of Contents (28 chapters)
Title Page

Advanced graphs using Matplotlib and Tkinter

Our line graph is pretty, but it still needs considerable work to be fully functional: it lacks a scale, grid lines, and other features that would make it a completely useful chart.

We could spend a lot of time making it more complete, but there's a faster way to get much more satisfactory graphs and charts in our Tkinter application: Matplotlib.

Matplotlib is a third-party library for generating professional-quality, interactive graphs of all types. It's a vast library with many add-ons, and we won't cover much of its actual usage, but we should look at how to integrate Matplotlib into a Tkinter application. To do this, we'll create a bubble chart showing the yield of each plot as it relates to humidity and temperature.

You should be able to install matplotlib using pip with the command pip install --user matplotlib...