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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

Plotting with different Data Structures

Now that you have learned how to build a visualization from scratch using Glyphs, we can extend this concept and construct plots using data structures such as the NumPy array and pandas DataFrame.

This chapter will also teach you about the ColumnDataSource, the core essence of the Bokeh library, which will allow you to share your data over multiple plots and widgets!

In a nutshell, you will get hands-on experience of using Bokeh with various data structures, as this chapter will take you through:

  • Creating plots using NumPy arrays
  • Creating plots with pandas DataFrames
  • Creating plots using the ColumnDataSource
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