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You're reading from  Matplotlib for Python Developers. - Second Edition

Product typeBook
Published inApr 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788625173
Edition2nd Edition
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Authors (3):
Aldrin Yim
Aldrin Yim
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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 about Aldrin Yim

Claire Chung
Claire Chung
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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 about Claire Chung

Allen Yu
Allen Yu
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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.
Read more about Allen Yu

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Matplotlib graphical backends


The code for plotting graphs is considered the frontend in Matplotlib's terminology. We first mentioned backends in Chapter 1Introduction to Matplotlib, when we were talking about output formats. In reality, Matplotlib backends have much more differences than just support for graphical formats. Backends handle so many things behind the scenes! And that would determine the support of plotting capabilities. For example, the LaTeX text layout is supported only by Agg, PDF, PGF, and PS backends.

Non-interactive backends

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

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

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Matplotlib for Python Developers. - Second Edition
Published in: Apr 2018Publisher: PacktISBN-13: 9781788625173

Authors (3)

author image
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 about Aldrin Yim

author image
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 about Claire Chung

author image
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.
Read more about Allen Yu