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Mastering Matplotlib 2.x

You're reading from Mastering Matplotlib 2.x Effective Data Visualization techniques with Python

Product type Paperback

Published in Nov 2018

Publisher Packt

ISBN-13 9781789617696

Length 214 pages

Edition 1st Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Visualization

Author (1):

Benjamin Walter Keller

View More author details

Table of Contents (7) Chapters

Preface

1. Heavy Customization FREE CHAPTER

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.

You have been reading a chapter from

Mastering Matplotlib 2.x

Published in: Nov 2018

Publisher: Packt

ISBN-13: 9781789617696

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Authors (1)

Keller

Keller

Richard Keller obtained his BSc in Computer Science from State University of Campinas (UNICAMP), Brazil. He is currently a software engineer at Spring Mobile Solutions in the Latin America headquarters located in So Paulo. His work there includes analysis and implementation of systems used by customer's headquarters and development of internal tools to enhance the company's productivity. He works with the AngularJS framework on a daily basis and with a variety of other technologies including TypeScript, C#, and SQL Server. He previously worked for an online marketplace for handmade items, a mobile payment company, and an open source e-learning project in an institute at UNICAMP.

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