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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

Interactive backends

Matplotlib can build interactive figures that are far more engaging for readers. Sometimes, a plot might be overwhelmed with graphical elements, making it hard to discern individual data points. On other occasions, some data points may appear so similar that it becomes hard to spot the differences with the naked eye. An interactive plot can address these two scenarios by allowing us to zoom in, zoom out, pan, and explore the plot in the way we want.

Through the use of interactive backends, plots in Matplotlib can be embedded in Graphical User Interface (GUI) applications. By default, Matplotlib supports the pairing of the Agg raster graphics renderer with a wide variety of GUI toolkits, including wxWidgets (Wx), GIMP Toolkit (GTK+), Qt, and Tkinter (Tk). As Tkinter is the de facto standard GUI for Python, which is built on top of Tcl/Tk, we can create an interactive plot just by calling plt.show() in a standalone Python script.

Tkinter-based backend

Let's try to copy the...

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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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