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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

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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