St.data_editor : disabling edit on a column will not allow inserting a new row

I have a dataframe that is displayed using the new st.data_editor. it has the following columns: TradeID, Stock, Price, Qty and Trade Date.
I want to allow insertion of a new row using the '+ 'in st.data_editor, however I do not want to allow editing an existing row, but only allow deleting an existing row if needed. If i use disabled=True, it wont allow me to insert or delete a row. If I select the disabled Columns [‘Stock’,‘Price’,‘Qty’], I can’t have the Stock, Price and Qty part of the disabled Columns or else I cannot insert a new row.

Anyone, tried to use the st.data_editor in this way? I appreciate any help

Steps to reproduce

Code snippet:

data_df = pd.DataFrame({"TradeID":[200,300,400,500,600],
                        "Stock": ["Apple", "Microsoft", "Amazon", "Facebook", "Google"],
                        "Qty": [100, 200, 150, 50, 75],
                        "Price": [150.25, 250.50, 350.75, 450.00, 550.25],
                        })
# Create a new column with the desired datestamp values
data_df['Date'] = pd.to_datetime('2023-08-16')

st.data_editor(
    data_df,
    column_config={
        "TradeID": st.column_config.NumberColumn(
            label="Trade ID",
            disabled=True),

        "Stock": st.column_config.TextColumn(
            label="Stock",
            help="Enter stock symbol in upper case",
            max_chars=5,
            validate="^[A-Z_]+$",
            required=True,

        ),
        "Qty":st.column_config.NumberColumn(
            label="Quantity",
            format="%d",
            help="The number of stocks",
            required=True,


        ),
        "Price": st.column_config.NumberColumn(
            label="Price",
            format="$%.2f",
            help="The price of the stock",
            required=True,
            min_value=0,
        ),
        "Trade date": st.column_config.DateColumn(
            label="Date",
            format="DD.MM.YYYY",


        ),
    },
    hide_index=True,
    num_rows="dynamic",
    key='datastock',
    disabled=['Stock','Price','Qty'],

)

Many thanks
GR

Like if we pass all rows as list to disabled then we can stop editing of existing rows?

List or df it has the same behavior