app_intermediate_children.py

app.layout = html.Div([
                    html.H2('Tolareports'),
                    dcc.Dropdown(
                        value='2017',
                        options=[{'label': i, 'value': i} for i in ['2017', '2018']],
                        multi=False,
                        id='dropdown-year',
                        placeholder="Select Year",),
                     dcc.Graph(id = 'table-1-1'),
                     dcc.Graph(id = 'table-1-2'),
])

@app.callback(Output('intermediate-value', 'children'), [Input('dropdown-year', 'value')])
def common_table(year):
    df = pd.read_csv('file.csv')
    df = df['year']
    #more recurring computations
    return df.to_json(date_format='iso', orient='split')

@app.callback(Output('table-1-1', 'figure'), [Input('intermediate-value', 'children')])
def table_1(cleaned_data):
    df_1 = pd.read_json(cleaned_data, orient = 'split')
    df_t = df1['column name']
    for i in range(len(list(df_t)):
        vals.append(df_t.iloc[:, i])
        return {
                'data': [
                    go.Table(
                        columnwidth=[150, 40, 40, 40, 40, 40, 40, 40,40],
                        header=dict(values=list(df_t.columns),
                                    font=dict(family='Roboto', size=16, color='#143945'),
                                    fill=dict(color='#ffffff')),
                        cells=dict(
                            values=vals,
                            font=dict(family='Roboto', size=14, color='#333333'),
                            fill=dict(color='#ffffff'),
                            align=['left'] * 5)
                    )
                ]
             }

@app.callback(Output('table-1-1', 'figure'), [Input('intermediate-value', 'children')])
def table_1(cleaned_data):
    df_1 = pd.read_json(cleaned_data, orient = 'split')
    df_t = df1['column name']
    for i in range(len(list(df_t))):
        vals.append(df_t.iloc[:, i])
        return {
                'data': [
                    go.Table(
                        columnwidth=[150, 40, 40, 40, 40, 40, 40, 40,40],
                        header=dict(values=list(df_t.columns),
                                    font=dict(family='Roboto', size=16, color='#143945'),
                                    fill=dict(color='#ffffff')),
                        cells=dict(
                            values=vals,
                            font=dict(family='Roboto', size=14, color='#333333'),
                            fill=dict(color='#ffffff'),
                            align=['left'] * 5)
                    )
                ]
             }
@app.callback(Output('table-1-2', 'figure'), [Input('intermediate-value', 'children')])
def table_2(cleaned_data):
    #different computations but same as table_1