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='äøč„æå Central &'),
html.Label('address'),
dcc.Dropdown(id='dropdown_a',
options=[{'label': i, 'value': i} for i in df["address"].unique()], value='ē¬¬äŗč”143čęµ·ę大å»2åŗ§')])
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.