Book Image

Python GUI Programming Cookbook - Third Edition

By : Burkhard Meier
Book Image

Python GUI Programming Cookbook - Third Edition

By: Burkhard Meier

Overview of this book

Python is a multi-domain, interpreted programming language that is easy to learn and implement. With its wide support for frameworks to develop GUIs, you can build interactive and beautiful GUI-based applications easily using Python. This third edition of Python GUI Programming Cookbook follows a task-based approach to help you create effective GUIs with the smallest amount of code. Every recipe in this book builds upon the last to create an entire, real-life GUI application. These recipes also help you solve problems that you might encounter while developing GUIs. This book mainly focuses on using Python’s built-in tkinter GUI framework. You'll learn how to create GUIs in Python using simple programming styles and object-oriented programming (OOP). As you add more widgets and expand your GUI, you will learn how to connect to networks, databases, and graphical libraries that greatly enhance the functionality of your GUI. You’ll also learn how to use threading to ensure that your GUI doesn't become unresponsive. Toward the end, you’ll learn about the versatile PyQt GUI framework, which comes along with its own visual editor that allows you to design GUIs using drag and drop features. By the end of the book, you’ll be an expert in designing Python GUIs and be able to develop a variety of GUI applications with ease.
Table of Contents (13 chapters)

Matplotlib Charts

In this chapter, we will create beautiful charts that visually represent data. Depending on the format of the data source, we can plot one or more columns of data in the same chart.

We will be using the Python Matplotlib module to create our charts.

In a company I worked for, we had an existing program that collected data for analysis. It was a manual process to load the data into Excel and then generate charts within Excel.

I automated the entire process using Python and Matplotlib. With only one click of the mouse, the data got backed up to a network drive and, with another click, the charts got automatically created.

In order to create these graphical charts, we need to download additional Python modules, and there are several ways to install them.

This chapter will explain how to download the Matplotlib Python module along with all the other requisite Python...