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Sharing data with JSON over callbacks - not working

I am trying to share data between callbacks using JSON storage. I have a small test example here which isn’t working.
The first piece of code converts to / from JSON within one callback and does not share data. This one works.
The second piece of code uses multiple callbacks, exporting as JSON in the first callback as intermediate-value and then using that in the second callback to read in the JSON data. This one doesn’t output anything when I enter any value.

I’ve tried debugging for a couple hours and reading lots of threads but still can’t figure it out. Can someone help? Thanks!!

Test data:

data = [['Col1',-10],['Col2',-12],['Col3',-13],['Col4',-100]]
temp = pd.DataFrame(data,columns=['ColName','Score'])

data = [['Col101',10],['Col102',12],['Col103',13],['Col104',100]]
temp2 = pd.DataFrame(data,columns=['ColName','Score'])

First piece of code (works):

app = dash.Dash()

app.layout = html.Div([
        html.H1('TiVo Acxiom AP Dashboard', style = {'textAlign': 'center', 'color': '#111111'}),
        dcc.Input(id = 'title-picker', placeholder = 'Enter a title...', type = 'text', value=''),
        html.Button(id = 'submit-button', n_clicks=0, children = 'Submit Title', style = {'fontSize':16}),
        html.Div(id='output-table')
])

@app.callback(Output('output-table', 'children'),
             [Input('submit-button', 'n_clicks')],
              [State('title-picker', 'value')])
def update_table(n_clicks, selected_title):
    if selected_title == 'right answer':
        jsonified_data = temp.to_json()
    else:
        jsonified_data = temp2.to_json()
    output = pd.read_json(jsonified_data)
    return dash_table.DataTable(data = output.to_dict('rows'), 
                                columns = [{"name": i, "id": i,} for i in output.columns])

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

Second piece of code (doesn’t work):

app = dash.Dash()

app.layout = html.Div([
        html.H1('TiVo Acxiom AP Dashboard', style = {'textAlign': 'center', 'color': '#111111'}),
        dcc.Input(id = 'title-picker', placeholder = 'Enter a title...', type = 'text', value=''),
        html.Button(id = 'submit-button', n_clicks=0, children = 'Submit Title', style = {'fontSize':16}),
        html.Div(id='output-table'),
        html.Div(id = 'intermediate-data', style = {'display': 'none'}) # hidden div that stores intermediate value
])

@app.callback(Output('intermediate-value', 'children'),
             [Input('submit-button', 'n_clicks')],
              [State('title-picker', 'value')])
def get_data_expensive(n_clicks, selected_title):
    if selected_title == 'right answer':
        jsonified_data = temp.to_json()
    else:
        jsonified_data = temp2.to_json()
    return jsonified_data

@app.callback(Output('output-table', 'children'),
             [Input('intermediate-value', 'children')])
def update_table(jsonified_data):
    output = pd.read_json(jsonified_data)
    return dash_table.DataTable(data = output.to_dict('rows'), 
                                columns = [{"name": i, "id": i,} for i in output.columns])
    
if __name__ == '__main__':
    app.run_server()

Hello, did you find a solution? I have the same problem. However, I used dcc.Store() which should be the solution according to the documentation but it is not working for me.

HI @asma
Welcome to the Dash community.

How is the dcc.Store not working for you? Can you please share your code or error message that you’re getting.

Hello @adamschroeder,

Thank you for your fast response and sorry for my late response!

Fortunately, I have figured it out. dcc.Store worked well but at that time I didn’t know that you can’t share pandas dataframes between callbacks. So I converted it to a dict and later back to pd.DataFrame().

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