Most examples work across multiple plotting backends, this example is also available for:


In [ ]:
import holoviews as hv
from holoviews import dim

from  bokeh.sampledata.autompg import autompg
hv.extension('bokeh')

Declaring data


In [ ]:
violin = hv.Violin(autompg, ('yr', 'Year'), ('mpg', 'Miles per Gallon')).redim.range(mpg=(8, 45))

Plot


In [ ]:
violin.opts(height=500, width=900, violin_fill_color=dim('Year').str(), cmap='Set1')