Return a Pandas DataFrame as a data_table from a callback with Plotly Dash for Python

Question

I would like to read a .csv file and return a groupby function as a callback to be displayed as a simple data table with \"dash_table\" library. @Lawliet\'s helpful answer shows

Answer 1

You almost got it done just with minor modification in update_datatable it should work fine (not tested):

def update_datatable(n_clicks,csv_file):            
    if n_clicks:                            
        dfgb = df.groupby(['state']).sum()
        return html.Div([dash_table.DataTable(
                data=dfgb.to_dict('rows'),
                columns=[{'name': i, 'id': i} for i in dfgb.columns],
                style_header={'backgroundColor': "#FFD700",
                              'fontWeight': 'bold',
                              'textAlign': 'center',},
                style_table={'overflowX': 'scroll'},  
                style_cell={'minWidth': '180px', 'width': '180px',
                        'maxWidth': '180px','whiteSpace': 'normal'},                        
                         filtering=True,
                 row_selectable="multi",
                 n_fixed_rows=1),
               html.Hr()
        ])