from bokeh.layouts import gridplot
from bokeh.models import BooleanFilter, CDSView, ColumnDataSource
from bokeh.plotting import figure, show
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))
# create a view of the source for one plot to use
view = CDSView(filter=BooleanFilter([True if y > 250 or y < 100 else False for y in y1]))
TOOLS = "box_select,lasso_select,hover,help"
# create a new plot and add a renderer
left = figure(tools=TOOLS, width=300, height=300, title=None)
left.scatter("x", "y0", size=10, hover_color="firebrick", source=source)
# create another new plot, add a renderer that uses the view of the data source
right = figure(tools=TOOLS, width=300, height=300, title=None)
right.scatter("x", "y1", size=10, hover_color="firebrick", source=source, view=view)
p = gridplot([[left, right]])
show(p)
