Interactive Data Visualization in Python With Bokeh

Interactive Data Visualization in Python With Bokeh

Christopher Bailey

Christopher Bailey 26 Lessons 2h 7m
data-science intermediate

Bokeh prides itself on being a library for interactive data visualization. The graphics are rendered using HTML and JavaScript, and your visualizations are easy to share as an HTML page. You will create a number of visualizations based on a real-world dataset.

The goal of this course is to get you up and running with Bokeh.

You will learn how to:

  • Transform your data into visualizations
  • Customize and organize your visualizations
  • Add interactivity to your visualizations
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Welcome to Bokeh

9 Lessons 31m

1. Intro and Bokeh Course Overview 03:49

2. From Data to Visualization 02:48

3. Setting Up Your Bokeh Environment 02:55

4. Generating Your First Figure to a Static HTML File 03:15

5. Generating Your First Figure to a Jupyter Notebook 01:59

6. Getting Your Figure Ready for Data 04:46

7. Drawing Data With Glyphs 04:16

8. Multiple Glyphs and Adding a Legend 06:45

9. Bokeh Course: Section 1 Review 01:21

Working With Data and Layouts

8 Lessons 38m

1. Bokeh Course: Section 2 Overview 01:09

2. A Quick Aside About Data 03:59

3. Using the ColumnDataSource Object 09:53

4. Using GroupFilter and CDSView 04:22

5. Multiple Visualizations Using Column Layout 07:59

6. GridPlot Layout 05:23

7. Tabbed Layout With Panels 04:10

8. Bokeh Course: Section 2 Review 01:09

Adding Interaction

9 Lessons 57m

1. Bokeh Course: Section 3 Overview 01:08

2. Configuring the Toolbar 03:19

3. Selecting Data Points 10:45

4. Adding Hover Actions 03:24

5. Emphasizing With Hover Inspections 02:53

6. Linking Axes 12:56

7. Linking Selections 10:45

8. Highlighting Data Using the Legend 08:14

9. Bokeh Course: Recap and Review 03:59

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About Christopher Bailey

Christopher Bailey Christopher Bailey

Chris is an avid Pythonista and creates video tutorials for Real Python. He is a programmer and data analyst. He creates music under the name Tripnet. Chris lives in Colorado with his wife and two dogs.

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Each tutorial at Real Python is created by a team of developers so that it meets our high quality standards. The team members who worked on this tutorial are:

Dan Bader

Dan
Sadie Parker

Sadie
Leon D'Angio

Leon
Geir Arne Hjelle

Geir Arne
Joanna Jablonski

Joanna

Participant Comments

Pygator on Aug. 18, 2019

This set of video tutorials are great! I can already dream up some use cases. Some video series about some image manipulation packages would be great.

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