In Julia, press
] to enter the Pkg REPL and do
pkg> add Bokeh
You will need to use Pluto, Jupyter, or any other environment capable of displaying HTML.
Alternatively (e.g. if you are using the Julia REPL) you may activate a display backend.
Creating a plot generally consists of three steps:
using Bokeh p = figure() plot!(p, Scatter, x=randn(1000), y=randn(1000)) p
The final line causes the REPL or notebook you are using to display the plot
p. You may explicitly call
display(p) instead, e.g. if you are plotting in a script or a loop.
If you are in the REPL, you may like to put
; at the end of each intermediate command to supress displaying it immediately.
Aside from this documentation, you can access extensive documentation from your Julia session.
If you are at the REPL, you can use the help mode to find out about Bokeh functions, models and properties. For example, to learn more about the
Scatter model used above, press
? then do
help?> Scatter search: Scatter AbstractPattern BasicTickFormatter ScientificFormatter Bokeh model type Scatter. Render scatter markers selected from a predefined list of designs. [...]
This mentions the property
marker, which we can find out about with
help?> Scatter.marker Bokeh model property Scatter.marker. Which marker to render. This can be the name of any built in marker, e.g. "circle", or a reference to a data column containing such names.
If you are not at the REPL, the
Docs.doc function can be used to access model documentation:
Docs.doc(Scatter) Docs.doc(Scatter, :size)