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Python Data Visualization Cookbook

You're reading from   Python Data Visualization Cookbook As a developer with knowledge of Python you are already in a great position to start using data visualization. This superb cookbook shows you how in plain language and practical recipes, culminating with 3D animations.

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Product type Paperback
Published in Nov 2013
Publisher Packt
ISBN-13 9781782163367
Length 280 pages
Edition 1st Edition
Languages
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Author (1):
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Igor Milovanovic Igor Milovanovic
Author Profile Icon Igor Milovanovic
Igor Milovanovic
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Toc

Table of Contents (15) Chapters Close

Python Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
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 Right Plots to Understand Data 8. More on matplotlib Gems 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:

  • 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

  • Drawing scatter plots with colored markers

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