Working in the Notebook¶
Inline Plots¶
To display Bokeh plots inline in an Jupyter notebook, use the
output_notebook() function from bokeh.io instead of (or in addition to)
the output_file() function we have seen previously. No other modifications
are required. You can see an example below:
Note
As a convenience, output_notebook() is also importable from the
bokeh.charts and bokeh.plotting modules.
Jupyter Interactors¶
It is possible to drive updates to Bokeh plots using Jupyter
notebook widgets, known as interactors. The key doing this is the
push_notebook() function. This function allows you to update document
data and properties in the notebook, so that any plots, etc are made to
update. A common use of push_notebook() is in an update callback for
interactors. An example is shown below:
Warning
Currently, push_notebook always updates only the *last shown
object*.
