Hello! I have been working on a Streamlit app that is hosted on Snowflake. st.data_editor was acting fine until a few days ago when I realized it suddenly needed an index column to retain data from new rows. However, manually adding the index is a bit inconvenient, especially since I didn’t have to before. Is there a way to auto-generate the index each time a new row is added? I tried making it a default with column_config, but the table reset each time it changed. If I need to use session_state, I can’t seem to find the right method to do that.
To handle the situation where you need an auto-generated index in a st.data_editor in Streamlit, you can use st.session_state to store and manage the table data.
import streamlit as st
import pandas as pd
# Inicializar el estado de la sesión si no existe
if 'data' not in st.session_state:
# Crear un DataFrame vacío con una columna de índice
st.session_state.data = pd.DataFrame(columns=['Index', 'Col1', 'Col2'])
# Función para añadir una nueva fila
def add_row():
new_index = len(st.session_state.data) + 1 # Generar un nuevo índice
new_row = pd.DataFrame({'Index': [new_index], 'Col1': [''], 'Col2': ['']})
st.session_state.data = pd.concat([st.session_state.data, new_row], ignore_index=True)
# Botón para añadir una nueva fila
if st.button('Añadir fila'):
add_row()
# Mostrar el editor de datos
edited_data = st.data_editor(
st.session_state.data,
column_config={
'Index': st.column_config.NumberColumn("Índice"), # Sin editable
'Col1': st.column_config.TextColumn("Columna 1"),
'Col2': st.column_config.TextColumn("Columna 2"),
},
key='data_editor'
)
# Actualizar el estado de la sesión con los datos editados
st.session_state.data = edited_data
# Mostrar los datos actuales
st.write("Datos actuales:")
st.write(st.session_state.data)
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