Update DataTable with callback not working

Hi , i would like to update a second DataTable based on the selection of the first datatable.
however as the layout has a html.Div with just the table id in it , as i create the tables using a function …
i seem to get an error … how should i work out that problem ? thank you

error:

screen1881×695 33.6 KB

layout code:

app.layout = html.Div([
    html.Div([
    html.Div([
        dcc.Dropdown(id='dropdown',
                    options=[
                        {'label':'Daily','value':0}, # what value to pass ?
                        {'label':'Weekly','value':1}],
                    value = 0,
                    multi=False,
                    clearable=False),
    ],className='six columns'),
    ],className='row'),
    
    html.Div([
    html.Div([ html.Div(id='table1'),
    ],className='six columns'),
        
    html.Div([html.Div(id='table2'),
    ],className='six columns'),
    ],className='row'),
    
])

callback code for dropdown selection: (works)

@app.callback(
    Output("table1", "children"),
    [Input("dropdown", "value")])

def update_table(selection):
    if selection == 0:
        rsc_daily = rsc_algo_test(sectors_df,daily)
        rsc_daily_sector = pd.DataFrame(rsc_daily,columns=['Ticker','RSC','Price','Percent Change','Index'])
        data=rsc_daily_sector.to_dict('rows')
        columns=[{"name": i, "id": i, "deletable": False, "selectable": False} for i in rsc_daily_sector.columns]
        return create_table(data,columns)
    if selection == 1:
        rsc_weekly = rsc_algo_test(sectors_df,weekly)
        rsc_weekly_sector = pd.DataFrame(rsc_weekly,columns=['Ticker','RSC','Price','Percent Change','Index'])
        data=rsc_weekly_sector.to_dict('rows')
        columns=[{"name": i, "id": i, "deletable": False, "selectable": False} for i in rsc_weekly_sector.columns]
        return create_table(data,columns)

callback code for second table: (doesent work) the None value comparison is just for initialization

@app.callback(
    Output("table2", "children"),
    [Input("table1", "selected_row"),
    Input('dropdown','value')])

def update_table2(selection,chosen_row):
    if  chosen_row == None and selection == 0:
        df_filtered_daily = rsc_algo_test(xlk_df,daily)
        rsc_daily_xlk = pd.DataFrame(df_filtered_daily,columns=['Ticker','RSC','Price','Percent Change','Index'])
        data=rsc_daily_xlk.to_dict('rows')
        columns=[{"name": i, "id": i, "deletable": False, "selectable": False} for i in rsc_daily_xlk.columns]
        return create_table(data,columns)

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