Plotly: How to add elements to hover_data using plotly.express piechart?

I am playing with examples from plotly.express piechart help page and trying to add an extra element iso_num to the hover_data property (iso_num is an int64 column in the gapminder dataframe)

import plotly.express as px
df = px.data.gapminder().query("year == 2007").query("continent == 'Americas'")
fig = px.pie(df, values='pop', names='country',
             title='Population of American continent',
             hover_data=['lifeExp','iso_num'], labels={'lifeExp':'life expectancy','iso_num':'iso num'
                                                      })
fig.update_traces(textposition='inside', textinfo='percent+label')
fig.show()

Hovering over the slice of the pie chart then gives this:

where iso num value is %{customdata[1]} instead of the numeric value from the column.

What am I missing?

Thanks!

This seems to be a relic from back when it was stated that

Oh pie hover is a big mess

Which since seems to be have been resolved. But perhaps not for px.pie()? I've tried numerous approaches, but I'm only able to get the customdata + hovertemplate approach to work for go.Pie and not for px.Pie. Here's a demonstration on how assigning values to customdata will make any variable otherwise not assigned to go.Pie() available for a custom hovertamplate:

Plot:

Code:

import plotly.graph_objects as go
import plotly.express as px

df = px.data.gapminder().query("year == 2007").query("continent == 'Americas'")

fig = go.Figure(go.Pie(
    name = "",
    values = df['pop'],
    labels = df['country'],
    customdata=df['iso_num'],
    hovertemplate = "Country:%{label}: <br>Population: %{value} </br> iso num:%{customdata}"

))
fig.show()

I found a way to do it with Plotly Express Pie chart as well. You can use update_traces to define hover_template. It seems there is an issue with splitting on multiple values for hover_data/custom_data and all values are present at 0 index only i.e. both values are at customdata[0].

import plotly.express as px
df = px.data.gapminder().query("year == 2007").query("continent == 'Americas'")
fig = px.pie(df, values='pop', names='country',
             title='Population of American continent',
             custom_data=['lifeExp','iso_num'], labels={'lifeExp':'life expectancy','iso_num':'iso num'
                                                      })
fig.update_traces(textposition='inside', textinfo='percent+label',\
                 hovertemplate = "Country:%{label}: <br>Population: %{value} </br>(life expentancy, iso num) : %{customdata}"
)

fig.show()

On hover: