Aggregate hover data for internal nodes in hierarchical plots

Hierarchical plots constructed with px.treemap, px.icicle, and px.sunburst, aggregate data at internal nodes as follows:

• values: sum of children,
• color: values-weighted sum of children if df[color] is numeric, else "discrete aggregation",
• hover_data: only supports "discrete aggregation",
  where for "discrete aggregation", the value of an internal node is mapped to that of its children if all its children have the same value, otherwise the aggregated value is set to "(?)".

Below is an example of a treemap with 2 quantities in hover data, one of which is numeric and could be aggregated at internal nodes, but instead all non-leaf nodes get a "(?)":

df = px.data.gapminder().query("year == 2007")
df["quantity_to_aggregate"] = np.random.random(df.shape[0])

fig = px.treemap(
    df,
    path=[px.Constant("world"), "continent", "country"],
    values="pop",
    color="lifeExp",
    hover_data=["iso_alpha", "quantity_to_aggregate"],
    color_continuous_scale="RdBu",
    color_continuous_midpoint=np.average(df["lifeExp"], weights=df["pop"]),
)
fig.update_layout(margin=dict(t=50, l=25, r=25, b=25))
fig.show()

Is it possible to aggregate numeric hover_data in hierarchical plots, perhaps as a sum initially, but potentially also giving the option to apply a different function?

Comienza con el comportamiento de gráficos jerárquicos descrito para px.treemap, px.icicle y px.sunburst, utilizando el ejemplo de Gapminder proporcionado con hover_data numérico. Determina cómo se agrega actualmente hover_data en los nodos internos y cómo podría exponerse una función de agregación. Se considera completado cuando los campos numéricos de hover se agregan en los nodos internos, mientras que los campos discretos conservan su comportamiento actual, y la opción solicitada es compatible.