Book Description | Don't just see your data, experience it!About This BookBring your users and your data closer with interactive visualizations using Matplotlib and PythonCreate user interfaces from scratch without needing a GUI toolkit, or insert new visualizations into your existing applicationsPick up interactive aspects of Matplotlib and learn how widgets can be used to interact visually with dataWho This Book Is ForThis 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 LearnAdd keymaps, mouse button actions, and custom events to your applicationBuild and record animations of your plotsEnhance your data display with buttons,sliders, and other widgetsInsert Matplotlib figures into any GUI applicationCreate a session recorder for your applicationLearn about Matplotlib's event handler to add custom eventsSee Matplotlib as more than just a plotting libraryIn DetailMatplotlib 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. |