How to wrap labels in sunburst?

[DigitalGabriele]

I have the following data and code. As you can see from the picture, sunburst makes the long labels really small. Is it possible to wrap them?

I tried playing with the "insidetextorientation", but it did not provide me the result I want.

    import plotly.express as px
    import pandas as pd

    df = pd.read_excel("/Users/stuff/Desktop/test.xlsx")
    
    g1 = df.Group1
    g2 = df.Group2
    g3 = df.Group3
    g4 = df.Group4
    my_values = df.Values
    
    df = pd.DataFrame(
        dict(group1=g1, group2=g2, group3=g3, group4=g4, my_values=my_values)
    )
    
    fig = px.sunburst(df, path=['group1', 'group2', 'group3', 'group4'], values='my_values')
    
    fig.show()

Sample data can be downloaded from here: https://gofile.io/d/8djNCU

[nicholas-esterer]

I'm not sure an automatic wrap can be achieved in a straight-foward way because the text resizes according to the bounding box of the text, but you can force a linebreak in the text by using <br>. Modifying your example:

import plotly.express as px
import pandas as pd

df = pd.read_excel("/Users/stuff/Desktop/test.xlsx")

g1 = df.Group1
# I replaced g2 = df.Group2 with the following to illustrate
g2=[
"This is a bit shorter sentence <br> but it is still annoying" for _ in g1]
g3 = df.Group3
g4 = df.Group4
my_values = df.Values

df = pd.DataFrame(
    dict(group1=g1, group2=g2, group3=g3, group4=g4, my_values=my_values)
)

fig = px.sunburst(df, path=['group1', 'group2', 'group3', 'group4'], values='my_values')
fig.show()

[nicholas-esterer]

To sort of automate the wrapping you can use the textwrap module from Python:

import plotly.express as px
import pandas as pd
import textwrap

def customwrap(s,width=30):
    return "<br>".join(textwrap.wrap(s,width=width))

df = pd.read_excel("/Users/stuff/Desktop/test.xlsx")

g1 = df.Group1.map(customwrap)
g2 = df.Group2.map(customwrap)
g3 = df.Group3.map(customwrap)
g4 = df.Group4.map(customwrap)
my_values = df.Values

df = pd.DataFrame(
    dict(group1=g1, group2=g2, group3=g3, group4=g4, my_values=my_values)
)
fig = px.sunburst(df, path=['group1', 'group2', 'group3', 'group4'], values='my_values')

fig.show()

[DigitalGabriele]

Thanks! That helped!

[nicholas-esterer]

Great!