This lesson is a quick recap of the topics covered in section one. You have explored the basics of Bokeh, including installing, customizing your figure, adding glyphs, and how to output your visualizations to a static HTML file or Jupyter Notebook.
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Bokeh Course: Section 1 Review
00:00 Congratulations on completing Section 1. After showing you a course overview, you learned about the process of going from data to a visualization and you covered the six steps within that process.
00:14 Then you set up your Bokeh environment by installing Bokeh, pandas, and the Jupyter Notebook system into a virtual environment. Then I showed you about generating your first figure to a static HTML file.
00:29 Now Bokeh generates all the HTML and JavaScript automatically for you.
00:37 Then you practiced generating a figure inline inside of a Jupyter Notebook.
00:45 Next, you looked at all the steps to get a figure ready for data and all the types of customization that you can lay out for the canvas that your visualizations will be placed upon. Then you learned about glyphs—those markers, lines, and bars that are going to represent all the data that are on top of the canvas that you set up previously—and you made your first complete visualization.
01:07 Once you completed that, you created a visualization with multiple glyphs and also a legend. Now you’re ready to start working with larger sets of data and multiple layouts.
R morel on May 20, 2020
**is legend_label or legend only
Chris Bailey RP Team on May 20, 2020
Hi @R morel,
Yes you are correct. It looks like another item is being deprecated in newer Bokeh version. The legend keyword will now require more specific keywords. Link to updated documents.
BokehDeprecationWarning: 'legend' keyword is deprecated, use explicit 'legend_label', 'legend_field', or 'legend_group' keywords instead
R morel on May 21, 2020
thanks you
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sroux53 on May 17, 2020
excellent ! course