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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

What are glyphs?

When you see a plot, interactive or not, it is usually composed of geometric shapes that make up every element in that plot. In Bokeh, these geometric shapes are called glyphs. If we wanted to create a line plot, we would have to use a line to represent information on the plot, and if we wanted to create a scatter plot with a circle as our marker, we would use a circle to represent that information.

These geometric shapes that are used to convey visual information to readers about a piece of data are called glyphs.

In this book, we will help you plot the four types of plot where above using glyphs, and we will also give you information on the various types of plot that can be plotted using glyphs.

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