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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 1. Preparing Your Working Environment

In this chapter, you will cover the following recipes:

  • Installing matplotlib, NumPy, and SciPy
  • Installing virtualenv and virtualenvwrapper
  • Installing matplotlib on Mac OS X
  • Installing matplotlib on Windows
  • Installing Python Imaging Library (PIL) for image processing
  • Installing a requests module
  • Customizing matplotlib's parameters in code
  • Customizing matplotlib's parameters per project
You have been reading a chapter from
Python Data Visualization Cookbook (Second Edition)
Published in: Nov 2015
Publisher:
ISBN-13: 9781784396695
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