import hvplot.pandas  # noqa
from bokeh.sampledata.sea_surface_temperature import sea_surface_temperature as sst
sst.hvplot()

scrampled = sst.sample(frac=1)
scrampled.hvplot()

from bokeh.models.formatters import DatetimeTickFormatter

formatter = DatetimeTickFormatter(months='%b %Y')
sst.hvplot(xformatter=formatter)

sst.hvplot.violin(by='index.month')

sst.hvplot.heatmap(x='index.hour', y='index.month', C='temperature', cmap='reds')

sst.hvplot(groupby=['index.year', 'index.month'], widget_type='scrubber', widget_location='bottom')

import xarray as xr
import hvplot.xarray  # noqa

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

air_ds.hvplot.violin(y='air', by='time.month')

air_ds.mean(dim=['lat', 'lon']).hvplot(by='time.hour', groupby=['time.year', 'time.month'])