Multiple dashtable update

Dash Python
1 

app = Dash(__name__)

app.layout = html.Div([
    html.Div(id='live-update-nifty'),
    html.Div(dash_table.DataTable(id="output-3",
    columns=[
        {"name": i, "id": i} for i in finish_butterfly().columns],
    style_cell={'textAlign': 'center'},
    style_header={'backgroundColor': 'rgb(30, 30, 30)','color': 'white'},
    style_data={'backgroundColor': 'rgb(50, 50, 50)','color': 'white'},
    style_data_conditional=[{
    'if': {
        'row_index': 5,  # number | 'odd' | 'even'
        'column_id': 'strike'
    },
    'backgroundColor': 'hotpink',
    'color': 'white'
}])),
    html.Div(dash_table.DataTable(id="output-2",
    columns=[
        {"name": i, "id": i} for i in finish_butterfly().columns],
    style_cell={'textAlign': 'center'},
    style_header={'backgroundColor': 'rgb(30, 30, 30)','color': 'white'},
    style_data={'backgroundColor': 'rgb(50, 50, 50)','color': 'white'},
    style_data_conditional=[{
    'if': {
        'row_index': 5,  # number | 'odd' | 'even'
        'column_id': 'strike'
    },
    'backgroundColor': 'hotpink',
    'color': 'white'
}]),style={'display': 'inline-block',"padding": "20px"}),
    html.Div(dash_table.DataTable(id="output-1",
    columns=[
        {"name": i, "id": i} for i in finish_butterfly().columns],
    style_cell={'textAlign': 'center'},
    style_header={'backgroundColor': 'rgb(30, 30, 30)','color': 'white'},
    style_data={'backgroundColor': 'rgb(50, 50, 50)','color': 'white'},
    style_data_conditional=[{
    'if': {
        'row_index': 5,  # number | 'odd' | 'even'
        'column_id': 'strike'
    },
    'backgroundColor': 'hotpink',
    'color': 'white'
}]),style={'display': 'inline-block',"padding": "20px",'float': 'centre'}),
    html.Div(dash_table.DataTable(id="output-4",
    columns=[
        {"name": i, "id": i} for i in oi().columns],
    style_cell={'textAlign': 'center'}),style={'display': 'inline-block',"padding": "20px",'float': 'right'}),
    dcc.Interval(
            id='interval-component',
            interval=1800, # in milliseconds
            n_intervals=0),
    dcc.Interval(
            id='interval-component-2',
            interval=2500, # in milliseconds
            n_intervals=0)
])

@app.callback(Output('output-4', 'data'),Input('interval-component-2', 'n_intervals'))
def get_data(n):
    return oi().to_dict('records')
@app.callback(Output('output-3', 'data'),Input('interval-component-2', 'n_intervals'))
def get_data(n):
    return finish_butterfly().to_dict('records')
@app.callback(Output('output-2', 'data'),Input('interval-component', 'n_intervals'))
def get_data(n):
    return finish_butterfly().to_dict('records')
@app.callback(Output('output-1', 'data'),Input('interval-component', 'n_intervals'))
def get_data(n):
    return finish_butterfly().to_dict('records')
@app.callback(Output('live-update-nifty', 'children'),
              Input('interval-component', 'n_intervals'))
def get_data_1(n):
    return "NIFTY {}".format(datetime.now())
if __name__ == '__main__':
    app.run_server()

nothing is updating … how do i update all tables according to their specific intervals

2

hi @kiri
:wave: welcome to the community.

I see you’re returning oi().to_dict('records'). What is the oi(), Is that the function that houses your data set?

3

its a pandas dataframe …when i run a single dashtable …it runs and updates …but more than one dashtable it doesnt update …only header is seen

4

Have you tried returning multiple outputs for the same interval, and changing the name of the functions to be different?

@app.callback(
[Output('output-1', 'data'),
Output('output-2', 'data')],
Input('interval-component', 'n_intervals'))
def get_data_1(n):
    butterfly_data = finish_butterfly().to_dict('records')
    return [butterfly_data] * 2

@app.callback(
[Output('output-3', 'data'),
Output('output-4', 'data')],
Input('interval-component-2', 'n_intervals'))
def get_data_2(n):
    oi_data = oi().to_dict('records')
    butterfly_data = finish_butterfly().to_dict('records')
    return [butterfly_data, oi_data]
5

why are you using oi().columns vs just oi.columns ?

6

worked ( i had tried it earlier but it didnt for some reason , maybe i missed something ) … love you …

1 Like