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Alexandre Devert - Matplotlib Plotting Cookbook

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Alexandre Devert Matplotlib Plotting Cookbook
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Matplotlib Plotting Cookbook: summary, description and annotation

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This book follows a cookbook style approach that puts orthogonal and non redundant recipes in your hands. Rather than rehashing the user manual, the explanations expose the underlying logic behind Matplotlib.
If you are an engineer or scientist who wants to create great visualizations with Python, rather than yet another specialized language, this is the book for you. While there are several very competent plotting packages, Matplotlib is just a Python module. Thus, if you know some Python already, you will feel at home from the first steps on. In case you are an application writer, you wont be left out since the integration of Matplolib is covered.

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matplotlib Plotting Cookbook

matplotlib Plotting Cookbook

Copyright 2014 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: March 2014

Production Reference: 1200314

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-84951-326-5

www.packtpub.com

Cover Image by Artie Ng (<>)

Credits

Author

Alexandre Devert

Reviewers

Francesco Benincasa

Valerio Maggio

Jonathan Street

Dr. Allen Chi-Shing Yu

Acquisition Editor

Rebecca Youe

Commissioning Editor

Usha Iyer

Content Development Editor

Ankita Shashi

Technical Editors

Shubhangi Dhamgaye

Pratik More

Humera Shaikh

Copy Editors

Dipti Kapadia

Aditya Nair

Kirti Pai

Project Coordinator

Sanchita Mandal

Proofreaders

Ameesha Green

Paul Hindle

Indexer

Tejal Soni

Production Coordinator

Manu Joseph

Cover Work

Manu Joseph

About the Author

Alexandre Devert is a scientist, currently busy solving problems and making tools for molecular biologists. Before this, he used to teach data mining, software engineering, and research in numerical optimization. He is an enthusiastic Python coder as well and never gets enough of it!

I would like to thank Xiang, my amazing, wonderful wife, for her patience, support, and encouragement, as well as my parents for their support and encouragement.

About the Reviewers

Francesco Benincasa , Master of Science in Software Engineering, is a designer and developer. He is a GNU/Linux and Python expert and has vast experience in many languages and applications. He has been using Python as the primary language for more than 10 years, together with JavaScript and framewoks such as Plone or Django.

He is interested in advanced web and network developing as well as scientific data manipulation and visualization. Over the last few years, he has been using graphical Python libraries such as Matplotlib/Basemap and scientific libraries such as NumPy/SciPy, as well as scientific applications such as GrADS, NCO, and CDO.

Currently, he is working at the Earth Science Department of the Barcelona Supercomputing Center (www.bsc.es) as a Research Support Engineer for the World Meteorological Organization Sand and Dust Storms Warning Advisory and Assessment System (sds-was.aemet.es).

Valerio Maggio has a PhD in Computational Science from the University of Naples "Federico II" and is currently a Postdoc researcher at the University of Salerno.

His research interests are mainly focused on unsupervised machine learning and software engineering, recently combined with semantic web technologies for linked data and Big Data analysis.

Valerio started developing open source software in 2004, when he was studying for his Bachelor's degree. In 2006, he started working on Python, and has since contributed to several open source projects in this language. Currently, he applies Python as the mainstream language for his machine learning code, making intensive use of matplotlib to analyze experimental data.

Valerio is also a member of the Italian Python community and enjoys playing chess and drinking tea.

I wish to sincerely thank Valeria for her true love and constant support and for being the sweetest girl I've ever met.

Jonathan Street is a well-known researcher in the fields of physiology and biomarker discovery. He began using Python in 2006 and extensively used matplotlib for many figures in his PhD thesis. He shares his interest in Python data tools by giving lectures and guiding educational sessions for regional groups, as well as writing on his blog at http://jonathanstreet.com.

Dr. Allen Chi-Shing Yu is a postdoctoral researcher working in the field of cancer genetics. He obtained his BSc degree in Molecular Biotechnology from the Chinese University of Hong Kong in 2009, and obtained a PhD in Biochemistry from the same university in 2013. Allen's PhD research primarily involved genomic and transcriptomic characterization of novel bacterial strains that can use toxic fluoro-tryptophans but not canonical tryptophan for propagation, under the supervision of Prof. Jeffrey Tze-Fei Wong and Prof. Ting-fung Chan. The findings demonstrated that the genetic code is not an immutable construct, and a small number of analogue-sensitive proteins are stabilizing the assignment of canonical amino acids to the genetic code.

Soon after his microbial studies, Allen was involved in the identification and characterization of a novel mutation marker causing Spinocerebellar Ataxiaa group of genetically diverse neurodegenerative disorders. Through the development of a tool for detecting viral integration events in human cancer samples (ViralFusionSeq), he has entered the field of cancer genetics. As the postdoctoral researcher in Prof. Nathalie Wong's lab, he is now responsible for the high-throughput sequencing analysis of hepatocellular carcinoma, as well as the maintenance of several Linux-based computing clusters.

Allen is proficient in both wet-lab techniques and computer programming. He is also committed to developing and promoting open source technologies, through a collection of tutorials and documentations on his blog at http://www.allenyu.info. Readers wishing to contact Dr. Yu can do so via the contact details on his website.

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