import pandas as pd
import plotly.express as px
df = pd.DataFrame({'world':['world']*4,
'continent':['SA','SA','NA','NA'],
'country':['Brazil','Uruguay','USA','Canada'],
'total_cases_per_100':[6,1,12,8]})
fig = px.treemap(df, path=['world','continent','country'],values='total_cases_per_100')
fig.update_traces(hovertemplate=None, hoverinfo='value')
The code above gives the following output-
As visible, it displays correctly the value of total_cases_per_100
for USA
and all the other child nodes. But for parent nodes, it sums it up, which is wrong as total_cases_per_100
is a ratio and not a total.
Is there anyway I can hide the value
hoverinfo for all nodes except the children?
In case this is not possible, the actual value for the parent nodes is also available with me but I am not sure how I could replace the generated value with it.
You can use hover_data
/ customdata
and override values for none leaf nodes.
import pandas as pd
import plotly.express as px
df = pd.DataFrame({'world':['world']*4,
'continent':['SA','SA','NA','NA'],
'country':['Brazil','Uruguay','USA','Canada'],
'total_cases_per_100':[6,1,12,8]})
leaves = df.select_dtypes("object").apply("/".join, axis=1).values
fig = px.treemap(df, path=['world','continent','country'],values='total_cases_per_100', hover_data=["total_cases_per_100"])
fig.update_traces(hovertemplate='%{customdata[0]}')
fig.data[0].customdata = [
v if fig.data[0].ids[i]
in leaves else [""]
for i, v in enumerate(fig.data[0].customdata)
]
fig