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!
Advertisement
Answer
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()