Python Dash:如何使用动态创建的下拉菜单中的输入?

问题描述 投票:0回答:1

我有一个应用程序,其中包含一个带有回调函数的按钮,可以创建无限数量的下拉菜单,这些下拉菜单将自动标识为“dropdown-i”。 困难在于,我似乎无法在另一个回调函数中实际使用我在这些下拉菜单中输入的值(这只是尝试打印它们)。

我如何检索这些值或者您将如何执行此操作?

显然

value=dcc.Dropdown(id=dropdown_id).value
部分不起作用。

import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State

app = dash.Dash(__name__)

app.layout = html.Div([
    html.Button("Add Dropdown and Number Field", id="add-button"),
    html.Div(id="input-container", children=[]),
    html.Div(id="output"), 
])

@app.callback(
    Output("input-container", "children"),
    Input("add-button", "n_clicks"),
    State("input-container", "children")
)
def add_input(n_clicks, existing_children):
    if n_clicks is None:
        return existing_children
    
    new_input = dbc.Row([
        dbc.Col(dcc.Dropdown(
            options=[
                {'label': 'Option 1', 'value': 'option-1'},
                {'label': 'Option 2', 'value': 'option-2'},
                # Add more dropdown options as needed
            ],
            value='option-1',
            id=f'dropdown-{n_clicks}'
        )),
        dbc.Col(dcc.Input(
            type='number',
            value=0,
            id=f'weight-{n_clicks}'
        )),
    ])
    
    existing_children.append(new_input)
    
    return existing_children

@app.callback(
    Output("output", "children"),
    Input("add-button", "n_clicks"),
    State("input-container", "children")
)
def process_dropdowns(n_clicks, dropdown_children):
    if n_clicks is None:
        return []

    # Create a list to store the selected values from each dropdown
    selected_values = []

    # Iterate through the dropdowns to retrieve their values
    for i, child in enumerate(dropdown_children):
        dropdown_id = f'dropdown-{i+1}'
        selected_value = dcc.Dropdown(id=dropdown_id).value
        selected_values.append(selected_value)

    # Process the selected values or use them as needed
    return f"Selected Dropdown Values: {', '.join(selected_values)}"

if __name__ == "__main__":
    app.run_server(debug=False)
python callback dropdown plotly-dash
1个回答
0
投票

这是利用模式匹配回调选择器的典型用例。

模式匹配回调选择器

MATCH
ALL
ALLSMALLER
允许 您可以编写响应或更新任意或 组件的动态数量。

这个想法是使用字典而不是字符串来使用复合 id(类型+索引),这样我们就可以将给定组件标识为特定类型的第 n 个组件。

我还更新了第一个回调,以便它进行部分属性更新,而不是通过网络来回发送所有数据,这使其更加高效。

from dash import Dash, dcc, html, Input, Output, ALL, Patch, callback, no_update
import dash_bootstrap_components as dbc

app = Dash(__name__)

app.layout = html.Div([
    html.Button("Add Dropdown and Number Field", id="add-button"),
    html.Div(id="input-container", children=[]),
    html.Div(id="output"),
])


@app.callback(
    Output("input-container", "children"),
    Input("add-button", "n_clicks")
)
def add_input(n_clicks):
    if n_clicks is None:
        return no_update

    patched_children = Patch()

    new_input = dbc.Row([
        dbc.Col(dcc.Dropdown(
            id={'type': 'dropdown', 'index': n_clicks},
            options=[
                {'label': 'Option 1', 'value': 'option-1'},
                {'label': 'Option 2', 'value': 'option-2'},
                # Add more dropdown options as needed
            ],
            value='option-1',
        )),
        dbc.Col(dcc.Input(
            id={'type': 'weight', 'index': n_clicks},
            type='number',
            value=0,
        )),
    ])

    patched_children.append(new_input)
    return patched_children


@callback(
    Output("output", "children"),
    Input({"type": "dropdown", "index": ALL}, "value"),
)
def process_dropdowns(values):
    return html.Div(
        ['Selected Dropdown Values:'] +
        [html.Div(f"Dropdown {i + 1} = {value}") for (i, value) in enumerate(values)]
    )

if __name__ == "__main__":
    app.run_server(debug=False)
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