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Mastering Matplotlib 2.x

You're reading from Mastering Matplotlib 2.x

Product type Book

Published in Nov 2018

Publisher Packt

ISBN-13 9781789617696

Pages 214 pages

Edition 1st Edition

Languages

Concepts

Data Visualization

Author (1):

Benjamin Walter Keller

Table of Contents (7) Chapters

Preface

1. Heavy Customization

2. Drawing on Plots

3. Special Purpose Plots

4. 3D and Geospatial Plots

5. Interactive Plotting

6. Other Books You May Enjoy

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Summary

In this chapter, we have learned about how to use style sheets to customize plot appearances, how to work with the color system within Matplotlib, how to tweak multi-panel plots to give more complex and appealing layouts for different kinds of plotting applications, and finally how to configure our Matplotlib installation.

In the next chapter, we will learn how to draw on plots to add annotations and highlights to really make the important features of a visualization pop out to the viewer.

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Mastering Matplotlib 2.x

Published in: Nov 2018 Publisher: Packt ISBN-13: 9781789617696

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Authors (1)

Benjamin Walter Keller

Benjamin Walter Keller is currently a PhD candidate at McMaster University and gained his BSc in physics with a minor in computer science from the University of Calgary in 2011. His current research involves numerical modeling of galaxy evolution over cosmological timescales. As an undergraduate at the U of C, he worked on stacking radio polarization to examine faint extragalactic sources. He also worked in the POSSUM Working Group 2 to determine the requirements for stacking applications for the Australian SKA Pathfinder (ASKAP) radio telescope. He is particularly interested in questions involving stellar feedback (supernovae, stellar winds, and so on) and its impact on galaxies and their surrounding intergalactic medium.

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