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Matplotlib 2.x By Example

You're reading from   Matplotlib 2.x By Example Multi-dimensional charts, graphs, and plots in Python

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781788295260
Length 334 pages
Edition 1st Edition
Languages
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Concepts
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Authors (3):
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Allen Yu Allen Yu
Author Profile Icon Allen Yu
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. Apart from academic research, Allen is the co-founder of Codex Genetics Limited, which aims to provide a personalized medicine service in Asia through the use of the latest genomics technology.
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Aldrin Yim Aldrin Yim
Author Profile Icon Aldrin Yim
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.
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See other products by Aldrin Yim
Claire Chung Claire Chung
Author Profile Icon Claire Chung
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.
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Toc

Table of Contents (9) Chapters Close

Preface 1. Hello Plotting World! 2. Figure Aesthetics FREE CHAPTER 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

Summary

In this chapter, you further enriched your techniques for obtaining online data through the use of the BeautifulSoup web scraping library. You successfully learned the different ways of creating interactive figures and animations. These techniques will pave the way for you to create intuitive and engaging visualizations in more advanced applications.

In the next chapter, we will explore the use of Matplotlib in the context of scientific visualizations.

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Authors (3)

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Profile icon Allen Yu
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. Apart from academic research, Allen is the co-founder of Codex Genetics Limited, which aims to provide a personalized medicine service in Asia through the use of the latest genomics technology.
Read more
See other products by Allen Yu
Profile icon Aldrin Yim
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.
Read more
See other products by Aldrin Yim
Profile icon Claire Chung
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.
Read more
See other products by Claire Chung
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