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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

Three-dimensional (3D) plots

By transitioning to the three-dimensional space, you may enjoy greater creative freedom when creating visualizations. The extra dimension can also accommodate more information in a single plot. However, some may argue that 3D is nothing more than a visual gimmick when projected to a 2D surface (such as paper) as it would obfuscate the interpretation of data points.

In Matplotlib version 2, despite significant developments in the 3D API, annoying bugs or glitches still exist. We will discuss some workarounds toward the end of this chapter. More powerful Python 3D visualization packages do exist (such as MayaVi2, Plotly, and VisPy), but it's good to use Matplotlib's 3D plotting functions if you want to use the same package for both 2D and 3D plots, or you would like to maintain the aesthetics of its 2D plots.

For the most part, 3D plots in Matplotlib have similar structures to 2D plots. As such, we will not go through every 3D plot type in this section. We will put...

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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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