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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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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

Importing data from Microsoft Excel files


Although Microsoft Excel supports some charting, sometimes you need more flexible and powerful visualization and need to export data from existing spreadsheets into Python for further use.

A common approach to importing data from Excel files is to export data from Excel into CSV-formatted files and use the tools described in the previous recipe to import data using Python from the CSV file. This is a fairly easy process if we have one or two files (and have Microsoft Excel or OpenOffice.org installed), but if we are automating a data pipe for many files (as part of an ongoing data processing effort), we are not in a position to manually convert every Excel file into CSV. So, we need a way to read any Excel file.

Python has decent support for reading and writing Excel files through the project www.python-excel.org. This support is available in the form of different modules for reading and writing, and is platform independent; in other words, we don...

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