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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

In this chapter, we will explore more advanced properties of the matplotlib library. We are going to introduce more options and will look at how to achieve certain visually pleasing results.

During this chapter, we will seek the solutions to some non-trivial problems with representing data when simple charts are not enough. We will try to use more than one type of graph or create hybrid graphs to cover advanced data structures and the representation required.

The rest of the chapter is locked

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