import hvplot.pandas  # noqa

from hvplot.sample_data import airline_flights, us_crime

violent_crime = us_crime.hvplot(x='Year', y='Violent Crime rate', width=400)
burglaries    = us_crime.hvplot(x='Year', y='Burglary rate', width=400)

violent_crime + burglaries

import panel as pn

pane = pn.panel(violent_crime)
pane

pane.object = burglaries

pane.object *= violent_crime 

plot = airline_flights.hvplot.hexbin(x='airtime', y='arrdelay', colorbar=True, width=600, height=500, logz=True)

hvplot.save(plot, 'test.html')

from bokeh.resources import INLINE
hvplot.save(plot, 'test.html', resources=INLINE)

hvplot.save(plot, 'test.png')