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
