Reputation: 1276
I have read most of the documentation on bokeh and many of the examples. All of them contain the default square window. The only example I have seen that is the slightly different is here which has subplots and sets height and width in the creation of a Plot object.
Upvotes: 42
Views: 58700
Reputation: 63
If you have a figure with name p
you can simply do the following.
p.plot_height=400
p.plot_width=800
(Bokeh version 2.4.3)
Upvotes: 3
Reputation: 562
In version 2.4.2:
An argument named figsize
is there to set the size of the plot.
e.g.
count_df.plot_bokeh(
title="Replenishment Count",
xlabel="Date",
ylabel="Number of Replenishment",
figsize=(1000, 800),
)
NOTE: Only applicable on plot_bokeh
method in dataframes.
Upvotes: 0
Reputation: 1276
Sorry to answer my own question, this was actually easy.
bokeh.plotting.curplot().plot_height=400
bokeh.plotting.curplot().plot_width=800
Upvotes: 8
Reputation: 7325
You can add the plot_width/plot_height commands to the figure command itself. Notice you can also add the resize tool to the set of tools via resize in the tools keyword var, which can be helpful.
bokeh.plotting.figure(x_axis_type = "datetime",
tools="pan,wheel_zoom,box_zoom,reset,resize,previewsave",plot_width=1000,
name="myplot")
Upvotes: 14
Reputation: 1638
If you've already created the plot, then you can use the bokeh.plotting.curplot()
function to return the "current" plot, and then set its height
and width
attributes. If you are building up a Plot
object using the lower-level interfaces (e.g. the examples in bokeh/examples/glyph/
, then you can just set those attributes directly as well on the plot object or in the Plot()
constructor.
Alternatively, if you are using any of the glyph generation functions in bokeh.plotting
, you can pass the plot_width
and plot_height
keyword arguments, e.g.:
line(x,y, color="#0000FF", tools="pan,wheel_zoom,box_zoom,reset",
name="line_example", plot_width=800, plot_height=300)
Upvotes: 42