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matplotlib Plotting Cookbook

You're reading from matplotlib Plotting Cookbook Discover how easy it can be to create great scientific visualizations with Python. This cookbook includes over sixty matplotlib recipes together with clarifying explanations to ensure you can produce plots of high quality.

Product type Paperback

Published in Mar 2014

Publisher Packt

ISBN-13 9781849513265

Length 222 pages

Edition Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Visualization

Author (1):

Alexandre Devert

View More author details

Table of Contents (15) Chapters

matplotlib Plotting Cookbook

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. First Steps FREE CHAPTER

2. Customizing the Color and Styles

3. Working with Annotations

4. Working with Figures

5. Working with a File Output

6. Working with Maps

7. Working with 3D Figures

8. User Interface

Index

Introduction

matplotlib has ever-increasing support for three-dimensional plots. Since Version 1.2, the API to make 3D figures has been very similar to the 2D API. Adding one more dimension to your plots can help you to visualize more information at a glance. Also, 3D plots are quite an attention-grabber on a presentation or during a class. In this chapter, we are going to explore what matplotlib can do with a third dimension.

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Authors (1)

Alexandre Devert

Alexandre Devert

Alexandre Devert is a scientist, currently busy solving problems and making tools for molecular biologists. Before this, he used to teach data mining, software engineering, and research in numerical optimization. He is an enthusiastic Python coder as well and never gets enough of it!

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