Interactive Applications Using Matplotlib

Benjamin V. Root

• Publisher: Packt Publishing
• Year: 2015
• eBook ISBN: 9781783988846
• Topic: Computer Science
• Subtopic: Computer Graphics
• Index: Computer Science

Interactive Applications Using Matplotlib

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Table of Contents

Interactive Applications Using Matplotlib

Credits

About the Author

About the Reviewers

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Why subscribe?

Free access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

1. Introducing Interactive Plotting

Installing Matplotlib

Show() your work

Interactive navigation

Interactive plotting

Scripted plotting

Getting help

Gallery

Mailing lists and forums

From front to backend

Interactive versus non-interactive

Anti-grain geometry

Selecting your backend

The Matplotlib figure-artist hierarchy

Canvassing the figure

The menagerie of artists

Primitives

Collections

Summary

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

3. Animations

A short history

The fastest draw in the west

The animation module

Advanced animations

Event source

Timers

Blitting

Recipes

Tails

Fades

Saving animations

Notes about codecs and file formats

Simultaneous animations

How animations are saved

Session recorder

Summary

4. Widgets

Built-in widgets

Slider

Button

Check buttons

Radio button

Lasso

LassoSelector

RectangleSelector

SpanSelector

Cursor

format_coord()

Third-party tools

mpldatacursor

Glue

Plot.ly, ggplot, prettyplotlib, and Seaborn

Summary

5. Embedding Matplotlib

The revelation

Through a glass, darkly

Tinker tailor soldier pylab_setup()

Canvas materials

Bars, menus, and sliders – four ways

GTK

Tkinter

wxWidgets

Qt

Matplotlib in your app

GTK

Tkinter

wxWidgets

Qt

Summary

Index

Interactive Applications Using Matplotlib

Copyright © 2015 Packt Publishing

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First published: March 2015

Production reference: 1170315

Published by Packt Publishing Ltd.

Livery Place

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ISBN 978-1-78398-884-6

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Credits

Author

Benjamin V. Root

Reviewers

Kamran Husain

Nathan Jarus

Jens Hedegaard Nielsen

Sergi Pons Freixes

Acquisition Editors

Richard Gall

Owen Roberts

Content Development Editor

Shubhangi Dhamgaye

Technical Editors

Tanvi Bhatt

Nanda Padmanabhan

Copy Editors

Roshni Banerjee

Gladson Monteiro

Project Coordinator

Harshal Ved

Proofreaders

Maria Gould

Lesley Harrison

Bernadette Watkins

Indexer

Monica Ajmera Mehta

Production Coordinator

Conidon Miranda

Cover Work

Conidon Miranda

About the Author

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.

I would like to acknowledge the entire Matplotlib development team for their insightful responses to my questions while I was writing this book. In particular, I would like to thank Michael Droettboom, Eric Firing, Thomas Caswell, Phil Elson, and Ryan May. Thanks also go to the members of the matplotlib users' list without whom I would have never learned this tool in the first place and for whom I wrote this book.

This book would not have been possible without the love and support of my wife, Margaret. She put up with far more than she should have, and for that, I am in her debt.

Last, but not least, I must acknowledge John Hunter, the creator of Matplotlib and the man who included me into the development team. Working with him and the rest of the team allowed me to mature as a programmer and scientist, and directly resulted in me attaining my current employment, thus starting my career.

About the Reviewers

Nathan Jarus is a computer science PhD candidate at Missouri S&T. He regularly uses Matplotlib to visualize and experiment with results. Prior to his graduate studies, he spent several years developing data visualization tools for research professors. Beyond visualization, he studies complex system modeling and control.

Jens Hedegaard Nielsen is a research software developer at University College London, where he works on a number of different programming projects in relation to research across the university. He is an active Matplotlib developer. He has a PhD in experimental laser physics from Aarhus University, Denmark.

Sergi Pons Freixes is a telecommunications engineer and a PhD candidate with experience on optical sensors and data analysis. For almost 10 years, he has been working in international environments, performing both hands-on development and research.

During his master's degree in telecommunications engineering, he engaged in part-time research in the Department of Signal Theory and Communications at the Polytechnic University of Catalonia (UPC), with the design and development of a low-cost hyperspectral in-situ sensor. This experience stimulated him to start a PhD at the same department. He obtained a grant from the Spanish National Research Council (CSIC) and performed his predoctoral training at the Marine Technology Unit in Barcelona, graduating for a master of advanced studies and leading and supervising the master thesis of other university students, while continuing his research on low-cost solutions oriented to increase the observational capabilities for marine/oceanographic biological information systems.

In 2011, he gained a fellowship from the Spanish Ministry of Economy and Competitiveness to expand his experience in international scientific organisms, moving to the European Space Agency office in Italy and working on assessing the viability of remote sensing coral monitoring. During his stay, he gained a contractor position as performance simulation engineer for the Sentinel 3 satellite project at the European Space Agency facilities in the Netherlands, being responsible for the simulators and processors operation and maintenance.

In January 2015, he moved to San Diego, California, where he is currently finishing his PhD while he pursues new opportunities.

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