Interactive Applications Using Matplotlib

Don't just see your data, experience it in a way that provides actual interactive insight with Matplotlib and Python today!

Interactive Applications Using Matplotlib

This ebook is included in a Mapt subscription
Benjamin V. Root

Don't just see your data, experience it in a way that provides actual interactive insight with Matplotlib and Python today!
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Book Details

ISBN 139781783988846
Paperback174 pages

Book Description

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.

Table of Contents

Chapter 1: Introducing Interactive Plotting
Installing Matplotlib
Show() your work
Interactive navigation
Interactive plotting
Scripted plotting
Getting help
From front to backend
The Matplotlib figure-artist hierarchy
Summary
Chapter 2: Using Events and Callbacks
Making the connection
The big event
Breaking up is the easiest thing to do
Keymapping
Picking
Data editing
User events
Editor events
Summary
Chapter 3: Animations
A short history
The fastest draw in the west
The animation module
Advanced animations
Saving animations
Summary
Chapter 4: Widgets
Built-in widgets
Third-party tools
Summary
Chapter 5: Embedding Matplotlib
The revelation
Through a glass, darkly
Bars, menus, and sliders – four ways
Matplotlib in your app
Summary

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

Authors

Table of Contents

Chapter 1: Introducing Interactive Plotting
Installing Matplotlib
Show() your work
Interactive navigation
Interactive plotting
Scripted plotting
Getting help
From front to backend
The Matplotlib figure-artist hierarchy
Summary
Chapter 2: Using Events and Callbacks
Making the connection
The big event
Breaking up is the easiest thing to do
Keymapping
Picking
Data editing
User events
Editor events
Summary
Chapter 3: Animations
A short history
The fastest draw in the west
The animation module
Advanced animations
Saving animations
Summary
Chapter 4: Widgets
Built-in widgets
Third-party tools
Summary
Chapter 5: Embedding Matplotlib
The revelation
Through a glass, darkly
Bars, menus, and sliders – four ways
Matplotlib in your app
Summary

Book Details

ISBN 139781783988846
Paperback174 pages
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