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Matplotlib for Python Developers

You're reading from   Matplotlib for Python Developers Python developers who want to learn Matplotlib need look no further. This book covers it all with a practical approach including lots of code and images. Take this chance to learn 2D plotting through real-world examples.

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Product type Paperback
Published in Nov 2009
Publisher Packt
ISBN-13 9781847197900
Length 308 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (14) Chapters Close

Matplotlib for Python Developers
Credits
About the Author
About the Reviewers
1. Preface
1. Introduction to Matplotlib FREE CHAPTER 2. Getting Started with Matplotlib 3. Decorate Graphs with Plot Styles and Types 4. Advanced Matplotlib 5. Embedding Matplotlib in GTK+ 6. Embedding Matplotlib in Qt 4 7. Embedding Matplotlib in wxWidgets 8. Matplotlib for the Web 9. Matplotlib in the Real World

Plotting data from a CSV file


A common format to export and distribute datasets is the Comma-Separated Values (CSV) format. For example, spreadsheet applications allow us to export a CSV from a working sheet, and some databases also allow for CSV data export. Additionally, it's a common format to distribute datasets on the Web.

In this example, we'll be plotting the evolution of the world's population divided by continents, between 1950 and 2050 (of course they are predictions), using a new type of graph: bars stacked.

Using the data available at http://www.xist.org/earth/pop_continent.aspx (that fetches data from the official UN data at http://esa.un.org/unpp/index.asp), we have prepared the following CSV file:

Continent,1950,1975,2000,2010,2025,2050
Africa,227270,418765,819462,1033043,1400184,1998466
Asia,1402887,2379374,3698296,4166741,4772523,5231485
Europe,547460,676207,726568,732759,729264,691048
Latin America,167307,323323,521228,588649,669533,729184
Northern America,171615,242360...
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