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Python Data Visualization Cookbook (Second Edition)

You're reading from Python Data Visualization Cookbook (Second Edition) Visualize data using Python's most popular libraries

Product type Paperback

Published in Nov 2015

Publisher

ISBN-13 9781784396695

Length 302 pages

Edition 1st Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Visualization

Table of Contents (11) Chapters

Preface

1. Preparing Your Working Environment FREE CHAPTER

2. Knowing Your Data

3. Drawing Your First Plots and Customizing Them

4. More Plots and Customizations

5. Making 3D Visualizations

6. Plotting Charts with Images and Maps

7. Using the Right Plots to Understand Data

8. More on matplotlib Gems

9. Visualizations on the Clouds with Plot.ly

Index

Introduction

This chapter introduces the reader to the essential tooling and their installation and configuration. This is necessary work and a common base for the rest of the book. If you have never used Python for data and image processing and visualization, it is advised not to skip this chapter. Even if you do skip it, you can always return to this chapter in case you need to install some supporting tools or verify what version you need to support the current solution.

You have been reading a chapter from

Python Data Visualization Cookbook (Second Edition)

Published in: Nov 2015

Publisher:

ISBN-13: 9781784396695

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