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Python GUI Programming Cookbook, Second Edition

Python GUI Programming Cookbook, Second Edition

By : Burkhard Meier
3.4 (5)
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Python GUI Programming Cookbook, Second Edition

Python GUI Programming Cookbook, Second Edition

3.4 (5)
By: Burkhard Meier

Overview of this book

Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a scripting language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Python GUI Programming Cookbook follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary. This book will guide you through the very basics of creating a fully functional GUI in Python with only a few lines of code. Each and every recipe adds more widgets to the GUIs we are creating. While the cookbook recipes all stand on their own, there is a common theme running through all of them. As our GUIs keep expanding, using more and more widgets, we start to talk to networks, databases, and graphical libraries that greatly enhance our GUI’s functionality. This book is what you need to expand your knowledge on the subject of GUIs, and make sure you’re not missing out in the long run.
Table of Contents (12 chapters)
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Placing labels on charts


So far, we have used the default Matplotlib GUI. Now, we will create some tkinter GUIs using Matplotlib.

This will require a few more lines of Python code and importing some more libraries, and it is well worth the effort, because we are gaining control of our paintings using canvases.

We will position labels onto both the horizontal and the vertical axes, that is, x and y. We will do this by creating a Matplotlib figure upon which we will draw.

You will also learn how to use subplots, which will enable you to draw more than one graph in the same window.

Getting ready

With the necessary Python modules installed and knowing where to find the official online documentation and tutorials, we can now carry on with our creation of Matplotlib charts.

How to do it...

While plot is the easiest way to create a Matplotlib chart, using Figure in combination with Canvas creates a more custom-made graph, which looks much better and also enables us to add buttons and other widgets to...

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