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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

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781784396695
Length 302 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

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 4. More Plots and Customizations

In this chapter we will learn about:

  • Setting the transparency and size of axis labels
  • Adding a shadow to the chart line
  • Adding a data table to the figure
  • Using subplots
  • Customizing grids
  • Creating contour plots
  • Filling an under-plot area
  • Drawing polar plots
  • Visualizing the filesystem tree using a polar bar
  • Customizing matplotlib with style
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