It would be cool if in the experimental data editor function it was possible to select only the necessary columns / keys for editing, since the data may contain critical values ​​that the user cannot change.

Usage example:

• there is a boolean column in the data, the user will be able to mark only those lines with which he will continue to work without interfering with the data;
• when importing tables, the user will be able to mark only the necessary columns for import without interfering with the data

etc.

Code example:

import streamlit as st
import pandas as pd

df = pd.DataFrame(
    [
       {"command": "st.selectbox", "rating": 4, "is_widget": True},
       {"command": "st.balloons", "rating": 5, "is_widget": False},
       {"command": "st.time_input", "rating": 3, "is_widget": True},
   ]
)
edited_df = st.experimental_data_editor(df, edit_columns=["is_widget"])

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