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Mastering matplotlib
A practical guide that takes you beyond the basics of
matplotlib and gives solutions to plot complex data
Duncan M. McGreggor
BIRMINGHAM - MUMBAI
Mastering matplotlib
Copyright © 2015 Packt Publishing
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However, Packt Publishing cannot guarantee the accuracy of this information.
First published: June 2015
Production reference: 1250615
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78398-754-2
www.packtpub.com
Credits
Author
Duncan M. McGreggor
Reviewers
Francesco Benincasa
Wen-Wei Liao
Nicolas P. Rougier
Dr. Allen Chi-Shing Yu
Acquisition Editor
Meeta Rajani
Content Development Editor
Sumeet Sawant
Technical Editor
Gaurav Suri
Copy Editors
Ulka Manjrekar
Vedangi Narvekar
Indexer
Hemangini Bari
Graphics
Sheetal Aute
Production Coordinator
Komal Ramchandani
Cover Work
Komal Ramchandani
Project Coordinator
Shweta H. Birwatkar
Proofreader
Safis Editing
About the Author
Duncan M. McGreggor
, having programmed with GOTOs in the 1980s, has made
up for that through community service by making open source contributions for more
than 20 years. He has spent a major part of the past 10 years dealing with distributed
and scientific computing (in languages ranging from Python, Common Lisp, and Julia
to Clojure and Lisp Flavored Erlang). In the 1990s, after serving as a linguist in the
US Army, he spent considerable time working on projects related to MATLAB and
Mathematica, which was a part of his physics and maths studies at the university.
Since the mid 2000s, matplotlib and NumPy have figured prominently in many of
the interesting problems that he has solved for his customers. With the most recent
addition of the IPython Notebook, matplotlib and the suite of the Python scientific
computing libraries remain some of his most important professional tools.

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