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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 3. Drawing Your First Plots and Customizing Them

In this chapter, we will go into a lot more detail and present most of the possibilities of matplotlib. We will cover the following points:

  • Defining plot types – bar, line, and stacked charts
  • Drawing simple sine and cosine plots
  • Defining axis lengths and limits
  • Defining plot line styles, properties, and format strings
  • Setting ticks, labels, and grids
  • Adding legends and annotations
  • Moving spines to the center
  • Making histograms
  • Making bar charts with error bars
  • Making pie charts count
  • Plotting with filled areas
  • Making stacked plots
  • Drawing scatter plots with colored markers
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