Linking Plots¶

It’s often useful to link plots to add connected interactivity between plots. This section shows an easy way to do it using the bokeh.plotting interface.

Linked Panning¶

It’s often desired to link pan or zooming actions across many plots. All that is needed to enable this feature is to share range objects between figure() calls.

from bokeh.io import output_file, show
from bokeh.layouts import gridplot
from bokeh.plotting import figure

output_file("panning.html")

x = list(range(11))
y0 = x
y1 = [10-xx for xx in x]
y2 = [abs(xx-5) for xx in x]

# create a new plot
s1 = figure(width=250, plot_height=250, title=None)
s1.circle(x, y0, size=10, color="navy", alpha=0.5)

# create a new plot and share both ranges
s2 = figure(width=250, height=250, x_range=s1.x_range, y_range=s1.y_range, title=None)
s2.triangle(x, y1, size=10, color="firebrick", alpha=0.5)

# create a new plot and share only one range
s3 = figure(width=250, height=250, x_range=s1.x_range, title=None)
s3.square(x, y2, size=10, color="olive", alpha=0.5)

p = gridplot([[s1, s2, s3]], toolbar_location=None)

# show the results
show(p)

Now you have learned how to link panning between multiple plots with the bokeh.plotting interface.

Linked Brushing¶

Linked brushing in Bokeh is expressed by sharing data sources between glyph renderers. This is all Bokeh needs to understand that selections acted on one glyph must pass to all other glyphs that share that same source.

The following code shows an example of linked brushing between circle glyphs on two different figure() calls.

from bokeh.io import output_file, show
from bokeh.layouts import gridplot
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure

output_file("brushing.html")

x = list(range(-20, 21))
y0 = [abs(xx) for xx in x]
y1 = [xx**2 for xx in x]

# create a column data source for the plots to share
source = ColumnDataSource(data=dict(x=x, y0=y0, y1=y1))

TOOLS = "box_select,lasso_select,help"

# create a new plot and add a renderer
left = figure(tools=TOOLS, width=300, height=300, title=None)
left.circle('x', 'y0', source=source)

# create another new plot and add a renderer
right = figure(tools=TOOLS, width=300, height=300, title=None)
right.circle('x', 'y1', source=source)

p = gridplot([[left, right]])

show(p)