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Python Data Visualization Cookbook (Second Edition)

You're reading from  Python Data Visualization Cookbook (Second Edition)

Product type Book
Published in Nov 2015
Publisher
ISBN-13 9781784396695
Pages 302 pages
Edition 1st Edition
Languages

Table of Contents (16) Chapters

Python Data Visualization Cookbook Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Preparing Your Working Environment Knowing Your Data Drawing Your First Plots and Customizing Them More Plots and Customizations Making 3D Visualizations Plotting Charts with Images and Maps Using the Right Plots to Understand Data More on matplotlib Gems Visualizations on the Clouds with Plot.ly Index

Introduction


This chapter covers basics about importing and exporting data from various formats. We first introduce how to import data by just using only the capabilities of the Python standard library; then we introduce the powerful Pandas library which is becoming the de facto standard in data manipulation in Python. Also we've covered the ways of cleaning data such as normalizing values, adding missing data, live data inspection, and usage of some similar tricks to get data correctly prepared for visualization.

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