add "Non-leaves rows are not permitted in the dataframe" with sunburst diagrams

It is sometimes useful to have non-leaf data in a Sunburst diagram. However, there is no way to tell Plotly Express to ignore or accept non-leaves.

Minimum viable example:

import pandas as pd
import plotly.express as px
lst = [['Alice', "Bob"], ['Alice', "Bob", "Carrie"], ["Alice", "Bob", "Chuck"]]
df = pd.DataFrame(lst)
fig = px.sunburst(df, path=df.columns)

Gives the error:

ValueError: ('Non-leaves rows are not permitted in the dataframe \n', 0 Alice
1 Bob
2
Name: 0, dtype: object, 'is not a leaf.')

This can be fixed by commenting out part of plotly/express/_core.py

def _check_dataframe_all_leaves(df):
    df_sorted = df.sort_values(by=list(df.columns))
    null_mask = df_sorted.isnull()
    df_sorted = df_sorted.astype(str)
    null_indices = np.nonzero(null_mask.any(axis=1).values)[0]
    for null_row_index in null_indices:
        row = null_mask.iloc[null_row_index]
        i = np.nonzero(row.values)[0][0]
        if not row[i:].all():
            raise ValueError(
                "None entries cannot have not-None children",
                df_sorted.iloc[null_row_index],
            )
    df_sorted[null_mask] = ""
    row_strings = list(df_sorted.apply(lambda x: "".join(x), axis=1))
    #for i, row in enumerate(row_strings[:-1]):
        #if row_strings[i + 1] in row and (i + 1) in null_indices:
            #raise ValueError(
            #    "Non-leaves rows are not permitted in the dataframe \n",
            #    df_sorted.iloc[i + 1],
            #    "is not a leaf.",
            #)

It would be great if px.sunburst could have an option to disable these checks, or to skip over any row which is not a leaf.

How can I propose this as an option?

Thanks!

plotly/express/_core.py の _check_dataframe_all_leaves から始め、提供されている pandas と px.sunburst の例で問題を再現します。px.sunburst が葉でない行を受け入れるかスキップするためのオプションを公開する方法を調査し、そのオプションを有効にしたときに例で現在の非リーフ行エラーが発生しなくなることを完了条件とします。