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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

Chapter 7. Using the Right Plots to Understand Data

In this chapter, you will cover the following recipes:

Understanding logarithmic plots
Understanding spectrograms
Creating stem plot
Drawing streamlines of vector flow
Using colormaps
Using scatter plots and histograms
Plotting the cross correlation between two variables
Importance of autocorrelation

The rest of the chapter is locked

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