Bring your users and your data closer with interactive visualizations using Matplotlib and Python
Create user interfaces from scratch without needing a GUI toolkit, or insert new visualizations into your existing applications
Pick up interactive aspects of Matplotlib and learn how widgets can be used to interact visually with data

Who This Book Is For

This book is intended for Python programmers who want to do more than just see their data. Experience with GUI toolkits is not required, so this book can be an excellent complement to other GUI programming resources.

What You Will Learn

Add keymaps, mouse button actions, and custom events to your application
Build and record animations of your plots
Enhance your data display with buttons,sliders, and other widgets
Insert Matplotlib figures into any GUI application
Create a session recorder for your application
Learn about Matplotlib's event handler to add custom events
See Matplotlib as more than just a plotting library

In Detail

Matplotlib makes it easy to generate plots, histograms, power spectra, bar charts, error charts, and other kinds of plots, with just a few lines of code.

Interactive Applications Using Matplotlib will teach you how to turn your plots into fully interactive applications for data exploration and information synthesis. After being introduced to the plotting library, you'll learn how to create simple figures and come to grips with how they work. After these first steps, we will start work on a weather radar application.

Next, you will learn about Matplotlib's event handler to add not only keymaps and mouse actions but also custom events, enabling our radar application to transition from a simple visualization tool into a useful severe storm tracking application, complete with animations and widgets. The book will conclude with enhancements from the GUI toolkit of your choice.

About the Author

Benjamin V. Root

Benjamin V. Root has been a member of the Matplotlib development team since 2010. His main areas of development have been the documentation and the mplot3d toolkit, but now he focuses on code reviews and debugging. Ben is also an active member of mailing lists, using his expertise to help newcomers understand Matplotlib. He is a meteorology graduate student, working part-time on his PhD dissertation. He works full-time for Atmospheric and Environmental Research, Inc. as a scientific programmer.

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