To display Bokeh plots inline in a classic Jupyter notebook, use the output_notebook() function from bokeh.io instead of (or in addition to) the output_file() function. No other modifications are required. When you call show(), the plot will display inline in the next notebook output cell. See a screenshot of Jupyter below:
If I choose text/plain as the renderer - I obviously get plain text that is useless and uninteractive. (Like in the first output in the screenshot) If I choose the Jupyter IPyWidget Renderer - I get an empty output. VS Code - Screenshot of the menu (allows choosing one of the two renderers) Here's the code of the problematic cell:
As a part of this tutorial, we have explained how to display Rich media contents/outputs in Jupyter Notebook. This includes contents like audio/sound, video, latex, markdown, HTML, iframe, SVG, pdf, etc. The functions and classes to display rich outputs are available through "IPython.display" which we have listed in our first section below.
But I noticed another issue: when having a wide frame that does not fit the notebook width, you get horizontal scrollbar at the bottom of the output. When you also use the 'scroll output' feature, you get a vertical scrollbar as well. But the horizontal is only visible when you first scroll down to the bottom. To illustrate:
Instead, you have a few options: Use the {div} directive with a full-width class.. Any content with a full-width class will take up the full width of the screen. For example, the following code: ```` {div} full-width ``` {note} Here's a note that will take the full width ``` ````. Copy to clipboard.
Wider display width for ipython/jupyter notebooks from within github. I use the following for wider display in a native IPython / Jupyter notebook: from IPython.core.display import display, HTML display (HTML (".container { width:100% !important; }")) Here is the terse documentation on this topic from GitHub:
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jupyter notebook display full output