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Hands-On Data Visualization with Bokeh

You're reading from   Hands-On Data Visualization with Bokeh Interactive web plotting for Python using Bokeh

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781789135404
Length 174 pages
Edition 1st Edition
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Author (1):
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Kevin Jolly Kevin Jolly
Author Profile Icon Kevin Jolly
Kevin Jolly
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Table of Contents (10) Chapters Close

Preface 1. Bokeh Installation and Key Concepts FREE CHAPTER 2. Plotting using Glyphs 3. Plotting with different Data Structures 4. Using Layouts for Effective Presentation 5. Using Annotations, Widgets, and Visual Attributes for Visual Enhancement 6. Building and Hosting Applications Using the Bokeh Server 7. Advanced Plotting with Networks, Geo Data, WebGL, and Exporting Plots 8. The Bokeh Workflow – A Case Study 9. Other Books You May Enjoy

Summary

This chapter has given you a formal introduction into the world of constructing interactive networks using the Bokeh package. In a systematic way, you learned how to create and structure the process of building networks, both with the default straight path and the explicitly defined path.

You also learned how adding interactivity to geographical data can have a big impact on the viewer of your visualization, as he or she can now extract information from it.

Then, you learned how to use WebGL to render your plots faster and consequently improve the performance of your applications.

Finally, you learned about how you can export these plots in PNG format and render them at a very high quality for publishing.

In the next chapter, you will learn how to build your very own Bokeh application that you can use to analyze the stock market.

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