Python Dash plotly update table

Question

I have a DataFrame in pandas called interesttable, which is getting updated with time (seconds). I am using Dash plotly to display the dataframe. Although i successfully display the dataframe in Dash, I cannot update the Dash with the new rows added in the dataframe. I try the following but it doesn't work. Thank you for your feedback!

def generate_table():
    return html.Table(
    # Header
    [html.Tr([html.Th(col) for col in interesttable.columns])] +

    # Body
    [html.Tr([html.Td(interesttable.iloc[i][col]) for col in interesttable.columns])
    for i in range(min(len(interesttable), 50))]

    )


app = dash.Dash()

app.layout = html.Div(children=[

html.H1(children='Interest Table'),
dcc.Interval(id='generate_table()',interval=1*1000),

generate_table()

])

app.callback(Output('generate_table()','children'), [Input('interesttable', 'n_intervals')])


if __name__ == '__main__':
app.run_server(debug=True)

Unfortunatelly the error I receive is:

 Here is a list of the available properties in "generate_table()":
 ['id','interval','disabled','n_intervals','max_intervals']

Marco Goldin · Accepted Answer · 2018-09-20 13:56:36Z

1

Isn't app.callback supposed to be a decorator?

Try:

@app.callback(Output('generate_table()','children'), [Input('interesttable', 'n_intervals')])

I don't see also n_intervals declared.

You should add it:

app.layout = html.Div(children=[html.H1(children='Interest Table'), dcc.Interval(id='generate_table()',interval=1000,n_intervals=0 ),generate_table()])

answered Sep 20, 2018 at 13:56

Marco Goldin

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1 Comment

R. Maier Over a year ago

That makes sense to do it like this. Without the dcc.Interval, the generate_table() is only called once during application startup

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