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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

The intermediate matplotlib user

If you've read the preface, then you know who this book is for—developers with intermediate or advanced knowledge of matplotlib as well as the motivated beginners. But who are they exactly? What do such users know?

Answers to such questions are fairly open-ended. We have the following guidelines. The intermediate matplotlib user should have some limited knowledge to passing experience with the following:

Installation of matplotlib in multiple environments
Creation of basic to moderately complicated matplotlib plots
Basic matplotlib APIs, styling, backends, and customizations
Using matplotlib objects, subplots, and overlays
Advanced third-party tools such as Seaborn, Pandas, ggplot, distributed IPython, and StarCluster
Completed reading most or all of the following books, Matplotlib for Python Developers, Sandro Tosi, Packt Publishing, and matplotlib Plotting Cookbook, Alexandre Devert, Packt Publishing

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