sunburst errors with "Non-leaves are not permitted in the dataframe"

The logic to check for non-leaves is dubious, e.g. a leaf whose name is a suffix of another leaf triggers an error.
The check also depends on the alphabetical ordering on the leaves.

As suggested by #3589, I wonder whether this non-leaf detection is really meaningful.
I'd be happy to write a PR to remove this check. Thoughts?

minimal working example

import pandas as pd
import plotly.express as px

df = pd.DataFrame(
    {
        "status": ["NOT_YET_COMPLETED", "COMPLETED"],
        "next_step": ["Wrapup", None],
        "count": [1, 2],
    }
)
# no error
px.sunburst(df, path=["status", "next_step"], values="count")

df.loc[0, "status"] = "ACTIVE_NOT_YET_COMPLETED"
# error (spurious)
px.sunburst(df, path=["status", "next_step"], values="count")

首先运行 issue 中的最小 pandas 和 px.sunburst 示例，然后跟踪会产生 non-leaf 错误的 sunburst 路径验证。完成的标准是：带后缀命名的 leaf 情况不再引发虚假的错误，同时现有的 non-leaf 行为仍由测试覆盖。