hvplot has a groupby parameter that lets you pick what variables to group the output by. This results in a widget you use to select the data subset you want to plot.
If groupby is not specified, hvplot often infers what variables you want to group by. For example:
ds=xr.Dataset({
'A':(['x','y','z'], np.arange(3*4*5).reshape(3,4,5)),
'B':(['x','y','z'],2*np.arange(3*4*5).reshape(3,4,5)),
},
coords={
'x':range(3),
'y':range(4),
'z':range(5)
}
)
ds.hvplot.scatter('A','B')
Even though groupby is not specified, hvplot assumes you want groupby=['x','y','z']. So, this creates a widget with sliders for x, y, and z. Since only one point exists for every combination, the resulting scatter plots only have a single point, which isn't very informative!
Is there a way to force hvplot to plot all values in a single plot? Put another way, is there a way to tell it to not infer a default value for the groupby parameter, and not create a widget? In the above example, this would mean producing a scatter plot of all A and B values in the dataset.
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