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Mastering Matplotlib

You're reading from Mastering Matplotlib A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data

Product type Paperback

Published in Jun 2015

Publisher

ISBN-13 9781783987542

Length 292 pages

Edition 1st Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Visualization

Table of Contents (11) Chapters

Preface

1. Getting Up to Speed

2. The matplotlib Architecture FREE CHAPTER

3. matplotlib APIs and Integrations

4. Event Handling and Interactive Plots

5. High-level Plotting and Data Analysis

6. Customization and Configuration

7. Deploying matplotlib in Cloud Environments

8. matplotlib and Big Data

9. Clustering for matplotlib

Index

Installing matplotlib

Given that this is a book on an advanced topic and the target audience will have installed matplotlib and the related dependencies more than once (most likely many times), detailed instructions will not be provided here. Two excellent books on matplotlib that cover this topic in their respective first chapters are Matplotlib for Python Developers and matplotlib Plotting Cookbook.

That being said, each chapter will have its own Git repository with scripts to install dependencies and set up Python's virtual environments. These scripts are a great resource, and reading them should provide additional details to those who seek to know more about installing matplotlib and the related libraries in Python virtual environments.

The rest of the chapter is locked

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