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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

Using style sheets

We have learned to set the style details step by step so far. The matplotlib.style module provides a handy way to apply a predefined global style to the whole figure. There are a number of built-in style sheets coming along the matplotlib package. You can call matplotlib.style.available to check them out:

The function returns a list of built-in style sheets, including classic, seaborn, and ggplot. Classic refers to the Matplotlib style before version 2.0. Seaborn is a popular package built on top of Matplotlib that offers some special plotting APIs and themes for generating aesthetically attractive statistical figures. In Matplotlib 2.0, we can easily work on the styling natively for simple plot types, without importing an extra module. Multiple style sheets for different purposes are available. The ggplot style emulates ggplot_, a popular plotting package in R that features vibrant colors on a gray data area with white lines.

Applying a style sheet

Using a style is as simple...

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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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