I try to implement a hv.Points graph where the point size should match the count of the groupby criteria.
However, I was not able to find a proper solution.
import numpy as np import holoviews as hv import pandas as pd from holoviews import opts, dim hv.extension('bokeh') data = pd.read_excel("test.xlsx") ds = hv.Dataset(data) points = ds.to(hv.Points, ['Overall rating 1-10','IN/OUT Plan'], vdims=['ID'], groupby=['Grouping','IN/OUT Plan']) points.opts(legend_position='right', toolbar='above', width=600, tools=['hover']) points
Is there a way to start “unfiltered”, e.g. that all table entries are considered, no grouping across “Grouping” and “IN/Out Plan”?