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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

Building a Bokeh application

Every Bokeh application has a structure to it. This structure helps break the large application down into smaller components that can be built individually and then put back together to render the application as a whole. This structure is illustrated here:

As depicted in the diagram, the first step to building an end-to-end application in Bokeh is to create the plots and widgets that you would like to see in your application. CREATING PLOTS & WIDGETS is a concept that you should be comfortable with at this stage.

The next step is to DEFINE CALLBACK FUNCTION. The callback function is simply a function that tells the application how to respond when a user interacts with your application. For example, if you create a button called Update Plot, the function will update the plot with new data that it retrieves from the web. In other words, the callback...

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