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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
Languages
Tools
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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 gave you an in-depth view of how you can use layouts in Bokeh to maximize the impact that your plots deliver—both statistically and visually.

You learned how to create plots in a horizontal layout, vertical layout, and a nested layout. You also learned how to use the grid layout as a more effective way to combine horizontal and vertical layouts together.

The standalone layout requires more lines of code to stack plots both horizontally and vertically in the same image, while the grid layout does this with a single line of code and is a more effective way to stack multiple plots together in different layout configurations.

Creating tabs in order to reduce clutter and linking multiple plots together to improve the comparative study of your data points are now in your tool belt in Bokeh.

In the next chapter, you will learn how to visually enhance the...

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