Issue with Dynamically Updating st.experimental_data_editor

Using Streamlit
1

Hi everyone,

I’m new to Streamlit and coding and I’m working on a Streamlit application on Snowflake where I’m using st.experimental_data_editor to allow users to view and edit a dataframe.
Once the dataframe is displayed, users can edit the values directly in the st.experimental_data_editor. After making their changes, they can click an ‘Update’ button, which triggers a function that processes the changes and updates the dataframe.

Here’s a simplified version of my code:

def update(df):
    # Process changes made by users in the data editor and uptading df with new values
    df.at[row_index, 'ALFA'] = new_value
    df.at[row_index, 'BETA'] = new_value * 2
    
    return df


with tab_3:

    if st.button('Search', key='search_tab3'):
        st.session_state.df_table = get_results_tab3(session)
        st.experimental_data_editor(st.session_state.df_table, num_rows="dynamic", key='data_tab3') 

    if st.button('Update', key="update_button"):
        if st.session_state.df_table is not None:
            st.session_state.df_table = update(st.session_state.df_table)
            st.experimental_rerun()

The issue I’m facing is that the changes made by users are not immediately reflected in the displayed dataframe.

I’ve alredy tried using st.empty() to create a placeholder and then update the st.experimental_data_editor widget in the placeholder when the ‘Update’ button is clicked. However, this approach resulted in a DuplicateWidgetID error because the same key was used for the st.experimental_data_editor widget.

Any suggestions or workarounds would be greatly appreciated! Thank you in advance for your help

2

The data_editor is already available.

3

Hi! I know it, and I alredy used data_editor in local, but I’m working on Snowflake now and it does not support it. If I use data_editor instead of experimental_data_editor it resulted in this error: AttributeError: module ‘streamlit’ has no attribute ‘data_editor’

1 Like
4

Ohh I thought it already supported.

5

Could you post a minimal reproducible code?

The are errors if I try to run your posted code.

6

For sure:

This is the main:

import streamlit as st
import pandas as pd
from test_query import get_results
from test_update import update
from snowflake.snowpark.context import get_active_session

session = get_active_session()

if 'df_table' not in st.session_state:
    st.session_state.df_table = None

if 'search_clicked' not in st.session_state:
    st.session_state.search_clicked = False
        
if 'update_clicked' not in st.session_state:
    st.session_state.update_clicked = False

if st.button('Search', key='search_button'):
    st.session_state.search_clicked = True

if st.session_state.search_clicked: 
    st.session_state.df_table = get_results(session)
    st.experimental_data_editor(st.session_state.df_table, num_rows="dynamic", key='data_tab')  

if st.button('Update', key="update_button"):
    st.session_state.update_clicked = True
            
if st.session_state.update_clicked and st.session_state.df_table is not None:
    st.session_state.df_table = update(session, st.session_state.df_table)
    st.experimental_data_editor(st.session_state.df_table, num_rows="dynamic", key='data_tab')

This is test_query file:

import pandas as pd

def get_results(session):
    query = """ SELECT * FROM EXAMPLE """
    
    df_table = session.sql(query).toPandas()
    
    return df_table

And this id test_update file:

import streamlit as st
import pandas as pd

def update(session, df):

if 'edited_cells' in st.session_state['data_tab']:
    edited_rows = st.session_state['data_tab']['edited_cells']

    changes_per_row = {int(row.split(":")[0]): {int(row.split(":")[1]): value} for row, value in edited_rows.items()}

    for row_index, changes in changes_per_row.items():
        row = df.loc[row_index]
        for _, new_value in changes.items():
            df.at[row_index, 'ALFA'] = new_value
            df.at[row_index, 'BETA'] = new_value*2       
    return df

I've created a simple EXAMPLE table on Snowflake with this schema: EXAMPLE(ALFA, BETA, GAMMA) with ALFA, BETA and GAMMA integer. 

As you can see, if I try to update my table I get: DuplicateWidgetID: There are multiple widgets with the same key='data_tab'. I know I can create another widget for my updated table, but I need to update table with key data_tab not to creat another one
7

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