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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

Installing the Bokeh library

Bokeh has a few dependencies. In order to use Bokeh, ensure that the following packages are already installed:

  • NumPy
  • Jinja2
  • Six
  • Requests
  • Tornado >= 4.0
  • PyYaml
  • DateUtil

If you're using Python 2.7, ensure that you have all the afore mentioned packages along with:

  • Futures

Installing Bokeh using a Python distribution

If you have all of your Python packages installed and managed using a distribution such as Anaconda, you can install Bokeh using your Bash Terminal or a Windows Prompt using the following code:

conda install bokeh

You can also install Bokeh using PyPi for Python 2 via the following code:

pip install bokeh

You can install Bokeh using PyPi for Python 3 via the following code:

pip3 install bokeh

For the purposes of this book, all plots will be rendered using Bokeh Version 0.12.15. If you already have Bokeh installed and require an update, simply enter the following code in your terminal or shell:

sudo pip3 install bokeh --upgrade
You have been reading a chapter from
Hands-On Data Visualization with Bokeh
Published in: Jun 2018
Publisher: Packt
ISBN-13: 9781789135404
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