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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 2. Knowing Your Data

In this chapter we will cover the following recipes:

  • Importing data from CSV

  • Importing data from Microsoft Excel files

  • Importing data from fixed-width datafiles

  • Importing data from tab-delimited files

  • Importing data from a JSON resource

  • Exporting data to JSON, CSV, and Excel

  • Importing data from a database

  • Cleaning up data from outliers

  • Reading files in chunks

  • Reading streaming data sources

  • Importing image data into NumPy arrays

  • Generating controlled random datasets

  • Smoothing the noise in real-world data

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