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Matplotlib 2.x By Example

You're reading from Matplotlib 2.x By Example

Product type Book

Published in Aug 2017

Publisher Packt

ISBN-13 9781788295260

Pages 334 pages

Edition 1st Edition

Languages

Concepts

Data Visualization

Authors (3):

Allen Yu

Claire Chung

Aldrin Yim

View More author details

Table of Contents (15) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Hello Plotting World!

2. Figure Aesthetics

3. Figure Layout and Annotations

4. Visualizing Online Data

5. Visualizing Multivariate Data

6. Adding Interactivity and Animating Plots

7. A Practical Guide to Scientific Plotting

8. Exploratory Data Analytics and Infographics

Non-interactive backends

The code for plotting graphs is considered the frontend in Matplotlib terminology. We first mentioned backends in Chapter 1, Hello Plotting World!, when we were talking about output formats. In reality, Matplotlib backends differ much more than just in the support of graphical formats. Backends handle so many things behind the scenes! And that determines the support for plotting capabilities. For example, LaTeX text layout is only supported by AGG, PDF, PGF, and PS backends.

We have been using non-interactive backends so far, which include AGG, Cairo, GDK, PDF, PGF, PS, and SVG. Most of these backends work without extra dependencies, yet Cairo and GDK would require the Cairo graphics library or GIMP Drawing Kit, respectively, to work.

Non-interactive backends can be further classified into two groups--vector and raster. Vector graphics describe images in terms of points, paths, and shapes that are calculated using mathematical formulas. A vector graphic will always...

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Authors (3)

Allen Yu

Allen Yu, PhD, is a Chevening Scholar, 2017-18, and an MSC student in computer science at the University of Oxford. He holds a PhD degree in Biochemistry from the Chinese University of Hong Kong, and he has used Python and Matplotlib extensively during his 10 years of bioinformatics experience.

See other products by Allen Yu

Claire Chung

Claire Chung is pursuing her PhD degree as a Bioinformatician at the Chinese University of Hong Kong. She enjoys using Python daily for work and lifehack. While passionate in science, her challenge-loving character motivates her to go beyond data analytics. She has participated in web development projects, as well as developed skills in graphic design and multilingual translation. She led the Campus Network Support Team in college, and shared her experience in data visualization in PyCon HK 2017.

See other products by Claire Chung

Aldrin Yim

Aldrin Yim is a PhD candidate and Markey Scholar in the Computation and System Biology program at Washington University, School of Medicine. His research focuses on applying big data analytics and machine learning approaches in studying neurological diseases and cancer. He is also the founding CEO of Codex Genetics Limited, which provides precision medicine solutions to patients and hospitals in Asia.

See other products by Aldrin Yim

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