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matplotlib Plotting Cookbook

You're reading from   matplotlib Plotting Cookbook Discover how easy it can be to create great scientific visualizations with Python. This cookbook includes over sixty matplotlib recipes together with clarifying explanations to ensure you can produce plots of high quality.

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Product type Paperback
Published in Mar 2014
Publisher Packt
ISBN-13 9781849513265
Length 222 pages
Edition Edition
Languages
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Author (1):
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Alexandre Devert Alexandre Devert
Author Profile Icon Alexandre Devert
Alexandre Devert
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Table of Contents (15) Chapters Close

matplotlib Plotting Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. First Steps FREE CHAPTER 2. Customizing the Color and Styles 3. Working with Annotations 4. Working with Figures 5. Working with a File Output 6. Working with Maps 7. Working with 3D Figures 8. User Interface Index

Handling transparency


When creating figures, they are rarely meant to be used as alone. For instance, figures can be part of a website or a presentation. In such cases, the figures will have to be integrated with other graphics. Transparency is important for such integration—figures will blend in an aesthetically pleasing and consistent manner with their background. In this recipe, we are going to see how to output figures with transparency.

How to do it...

To demonstrate transparency, we are going to create a figure and embed it in a webpage. The figure is going to blend with the webpage background. All the files that are created in this recipe should be in the same directory. We are going to do the following in this section:

  • Render a figure to a PNG file, with a transparent background

  • Make a HTML page that includes a figure

Rendering a figure to a PNG file with a transparent background

To render a figure to a PNG file, we will again use pyplot.savefig(). However, the optional parameter transparent...

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