Dash DAQ（LED显示）回调以更新号码

Question

我正在使用回调进行一个小项目。我做的第一个回调是根据下拉选择来更新表行-很好。现在，我正在尝试创建一个回调来更新Led显示器，但是我很难找出它的更新功能。

我创建了一个列表理解，其中标签是我想要的数字，值是用户将从下拉菜单中选择的状态。

有人可以帮助我了解如何创建一个回调，该回调将根据所选的下拉选项返回数字（标签）？

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

# open csv file
df = pd.read_csv(f'https://raw.githubusercontent.com/plotly/'\
                 f'datasets/master/solar.csv')

# create a list of options to be used in the Dropdown 
options = [{'label': i, 'value': i} for i in df.State]

# create list list comprehension to update daq.LEDDisplay value
dff =df.set_index('State')

digital = [{'label': f'{dff.loc[i, "Generation (GWh)"]}',
            'value': f'{i}'} for i in dff.index]

# use external sheet to display side by side
external_stylesheets=['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

app.layout = html.Div([
                html.H1('TEST'),
            html.Div([
                # dropdown with all options, default = California
                dcc.Dropdown(id='dropdown',
                    options=options,
                    value='California'),
                ],className='three columns'),
            html.Div([
                dash_table.DataTable(
                    id='table',
                    # display row dependning on state selected 
                    columns =[{'name': i, 'id': i} for i in df.columns],
                    data = df.to_dict('records')
                    )
                ],className='six columns'),
                daq.LEDDisplay(
                    id='digital',
                    label='Test',
                    value=digital, #not sure what to put here
                    size=50)
            ])

# callback for table
@app.callback(
        Output(component_id='table', component_property='data'),
        [Input(component_id='dropdown', component_property='value')]
             )

def update_rows(options):
    dff = df[df['State'] == options]

    return dff.to_dict('records')

# callback for daq.LEDDisplay
@app.callback(
        Output(component_id='digital', component_property='value'),
        [Input(component_id='dropdown', component_property='value')]
             )

def update_digital(digital):
    return digital


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

digital = [{'label'：'10826'，'value'：'California'}，{'label'：'2550'，'value'：'Arizona'}，{'label'：'557'， 'value'：'Nevada'}，{'label'：'590'，'value'：'New Mexico'}，{'label'：'235'，'value'：'Colorado'}，{'label' ：'354'，'value'：'Texas'}，{'label'：'1162'，'value'：'North Carolina'}，{'label'：'84'，'value'：'New York' }]

谢谢！

Answer 1

此方法有效。

# create dff2 to display in LED DISPLAY
dff2 = df[df['State'] == 'California']
dff2 = dff2.to_dict('records')

                daq.LEDDisplay(
                id='digital',
                label='Generation (GWh)',
                value=dff2[0]['Generation (GWh)'], 
                size=50)

# callback for daq.LEDDisplay
@app.callback(
    Output(component_id='digital', component_property='value'),
    [Input(component_id='dropdown', component_property='value')]
         )

def update_digital(options):
    dff2 = df[df['State'] == options]
    dff2 = dff2.to_dict('records')

    return dff2[0]['Generation (GWh)']