import xarray as xr
import hvplot.xarray  # noqa

air_ds = xr.tutorial.open_dataset('air_temperature').load()
air = air_ds.air
air_ds

air1d = air.sel(lat=40, lon=285)
air1d.hvplot()

air1d_sel = air1d.sel(time='2013-01')
air1d_sel.hvplot(color='purple') * air1d_sel.hvplot.scatter(marker='o', color='blue', size=15)

air.lat

air.sel(lat=[20, 40, 60], lon=285).hvplot.line()

air.sel(time='2013-02-01 00:00', lon=[280, 285]).hvplot.line(y='lat', by='lon', legend='top_right')

air2d = air.sel(time='2013-06-01 12:00')
air2d.hvplot(width=400)

air2d.hvplot.contour(width=400, levels=20) + air2d.hvplot.contourf(width=400, levels=8)

air.hvplot()

air.hvplot(groupby='time', width=500)

air.hvplot(groupby='time', width=600, widget_type='scrubber', widget_location='bottom')

air.hvplot.line(width=600)

air.sel(lat=[25, 50, 75]).hvplot.kde('air', by='lat', alpha=0.5)

air.hvplot.violin('air', by='lat', color='lat', cmap='Category20')

air.hvplot.scatter('time', groupby=[], rasterize=True) *\
air.mean(['lat', 'lon']).hvplot.line('time', color='indianred')