st.data_editor column order not respected when column name type is not str

[timotk]

Checklist

• [X] I have searched the existing issues for similar issues.
• [X] I added a very descriptive title to this issue.
• [X] I have provided sufficient information below to help reproduce this issue.

Summary

I want to make an editable dataframe using st.data_editor. My dataframe has int column names, in descending order. For my application, it is important that this order is respected.

However, when I define the column_config argument, the order gets flipped into ascending order.

I have also tried specifying column_order, but this results in an error TypeError: bad argument type for built-in operation (this is because the column names are not str type but they are expected as such)

df = st.data_editor(
    df,
    column_order=df.columns,
    column_config={
            col: st.column_config.TextColumn(
                col,
            )
            for col in df.columns
        },
)

Reproducible Code Example

import pandas as pd
import streamlit as st

df = pd.DataFrame(
    [
        ["A", "B", "C"],
        ["D", "E", "F"],
        ["G", "H", "I"],
    ],
    columns=range(3, 0, -1)

df = st.data_editor(
    df,
    column_config={
        col: st.column_config.TextColumn(
            col,
        )
        for col in df.columns
    },
)

Steps To Reproduce

Run the above code and see the column order be incorrect

Expected Behavior

Current Behavior

Is this a regression?

• [ ] Yes, this used to work in a previous version.

Debug info

• Streamlit version: 1.33.0
• Python version: 3.12
• Operating System: Mac OS X
• Browser: Firefox

Additional Information

No response

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[lukasmasuch]

@timotk Thanks for reporting this issue 👍 I was able to reproduce this here. Non-string column names aren't super well supported right now, but I think it wouldn't be to complicated to fix this.

[utkanuygur]

I would like to work on this. Can I get assigned to this issue?

[takuel37]

Could I get assigned to this please?