How to return a datatable updated by 2 dropdowns as inputs in Plotly Python

@yts61 wrote:

As titled, i am creating a plotly dashboard with a data-table only. There will be 2 drop-downs as inputs, and the data-table will update according to the drown-downs. How do I set the layout and callbacks?

import pandas as pd
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_table as dt
from dash.dependencies import Input, Output, State

df = pd.read_csv(https://elartedm.com/wp-content/uploads/2020/03/data_hk.csv, header=0, encoding = 'utf8')

app = dash.Dash()
application = app.server

dropdown = html.Div([html.Label('district'),
             dcc.Dropdown(id='dropdown_d',
                          options=[{'label': i, 'value': i} for i in df["district"].unique()], value='中西區 Central &'),
             html.Label('address'),
             dcc.Dropdown(id='dropdown_a',
                          options=[{'label': i, 'value': i} for i in df["address"].unique()], value='第二街143號海昇大廈2座')])

final_table = html.Div([dash_table.DataTable(id="final_table")])

app.layout = html.Div([dropdown, final_table])

@app.callback(Output('final_table', 'data'),
          [Input('dropdown_d', 'value'),
           ])

def update_table(selected_value):
    df = pd.read_csv(https://elartedm.com/wp-content/uploads/2020/03/data_hk.csv, header=0, encoding = 'utf8')
    df_updated = df[df["district"] == selected_value]
    columns = [{'name': i, 'id': i} for i in df_updated.columns]
    data = df.to_dict('records')
    return columns, data

if __name__ == "__main__":
    app.run_server(debug=True, port=8055)

This is the farthest i can get. The code above is only trying to update the data-table from 1 dropdown value, but my goal is to update by 2 dropdown values.

any help is very much appreciated.
in case the data file is needed, here is the link to the data.

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