Kde#
import hvplot.xarray # noqa
import xarray as xr
Kernel density estimate (kde
) provides a mechanism for showing the distribution and spread of the data. In hvplot
the method is exposed both as kde
and density
.
ds = xr.tutorial.open_dataset('air_temperature').load()
air = ds.air
air1d = air.sel(lat=[25, 50, 75])
air1d.hvplot.kde('air', by='lat', alpha=0.5)
This web page was generated from a Jupyter notebook and not all
interactivity will work on this website.