Book Image

Python GUI Programming with Tkinter, 2nd edition - Second Edition

By : Alan D. Moore
4.5 (2)
Book Image

Python GUI Programming with Tkinter, 2nd edition - Second Edition

4.5 (2)
By: Alan D. Moore

Overview of this book

Tkinter is widely used to build GUIs in Python due to its simplicity. In this book, you’ll discover Tkinter’s strengths and overcome its challenges as you learn to develop fully featured GUI applications. Python GUI Programming with Tkinter, Second Edition, will not only provide you with a working knowledge of the Tkinter GUI library, but also a valuable set of skills that will enable you to plan, implement, and maintain larger applications. You’ll build a full-blown data entry application from scratch, learning how to grow and improve your code in response to continually changing user and business needs. You’ll develop a practical understanding of tools and techniques used to manage this evolving codebase and go beyond the default Tkinter widget capabilities. You’ll implement version control and unit testing, separation of concerns through the MVC design pattern, and object-oriented programming to organize your code more cleanly. You’ll also gain experience with technologies often used in workplace applications, such as SQL databases, network services, and data visualization libraries. Finally, you’ll package your application for wider distribution and tackle the challenge of maintaining cross-platform compatibility.
Table of Contents (22 chapters)
19
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20
Index
Appendices

Advanced graphs using Matplotlib

Our line graph is pretty, but it still needs considerable work to be a truly professional-looking visualization: it lacks a scale, grid lines, zoom capabilities, 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 Python 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 will look at how to integrate Matplotlib charts into a Tkinter application. To demonstrate 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 the matplotlib library using pip with this command:

$ pip install --user matplotlib

For complete...