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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

It is considered a good practice to make your figures self-explanatory. However, it can be hard to make some curves and dots self-explanatory without any annotations. How should one read the vertical and horizontal axes? Which quantity is represented by that box and this curve? matplotlib offers a great number of possibilities to annotate a figure, which we are going to explore in this chapter.

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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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