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You're reading from  Matplotlib 2.x By Example

Product typeBook
Published inAug 2017
PublisherPackt
ISBN-139781788295260
Edition1st Edition
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Authors (3):
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

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

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

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General rules of effective visualization


In Chapter 2, Figure Aesthetics, we briefly introduced ways to fine-tune figure aesthetics, focusing more on the coding techniques. Before a deeper discussion of science-specific plotting skills, we would like to introduce some general guidelines for making effective visuals.

Planning your figure

I have my numbers. I have my plot recipes. Now what? Plo... Wait a minute. To plot or not to plot? That is the question. We are not switching to philosophy or literature. Scientific figures are not simply decorations to add colors to your manuscript or presentation, but should each bring out a unique message.

To achieve this, it is essential for us to consider the context when planning our figures. Just like writing essays, we can do so by thinking about the 6Ws--"Why", "What", "Who", "When", "Where", and "How".

Do we need the plot?

We set out plotting a graph by knowing its purpose: "why". In preparing manuscripts to submit to journals, slideshows, or poster...

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Matplotlib 2.x By Example
Published in: Aug 2017Publisher: PacktISBN-13: 9781788295260

Authors (3)

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

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
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