[screenshot of table live dynamic editing]

result = (this->*(*iter))();

我尝试了这个，并且似乎在上面稍加修改的代码下工作了；我必须进行的更改是：

1. 将字典import dash import dash_bootstrap_components as dbc import dash_core_components as dcc import dash_html_components as html import dash_table import pandas as pd from dash.dependencies import Input,Output threshold = 0.5 ################################################################ ###################### Table Data ############################## ################################################################ metrics_index = [ "AUC","Accuracy","Kappa","Sensitivity (Recall)","Specificity","Precision","F1",] algo_columns = ["Test-SVM+Naïve B","RF"] table_data = { "AUC": [threshold * 0.8,threshold * 0.83],"Accuracy": [threshold * 0.85,threshold * 0.86],"Kappa": [threshold * 0.66,threshold * 0.69],"Sensitivity (Recall)": [threshold * 0.82,"Specificity": [threshold * 0.78,threshold * 0.79],"Precision": [threshold * 0.78,"F1": [threshold * 0.81,threshold * 0.82],} data = [i for i in table_data] table = pd.DataFrame( columns=algo_columns,index=metrics_index,data=[table_data[i] for i in metrics_index],) # display(table) ################################################################ ######################## Body ################################ ################################################################ body = dbc.Container( [ dbc.Row( [ dbc.Col( [ html.H2("Slider + Manual entry test"),dcc.Slider( id="my-slider",min=0,max=1,step=0.01,marks={"0": "0","0.5": "0.5","1": "1"},value=threshold,),html.Div(id="update-table"),] ),dbc.Col( [ html.Div( [ html.Div( dcc.Input( id="input-box",max=0,min=1,) ),html.Div(id="slider-output-container"),] ) ] ),] ) ] ) app = dash.Dash(__name__,external_stylesheets=[dbc.themes.BOOTSTRAP]) app.layout = html.Div([body]) ############################################################## ######################## callbacks ########################### ############################################################## @app.callback( dash.dependencies.Output("slider-output-container","children"),[dash.dependencies.Input("my-slider","value")],) def update_output(value): threshold = float(value) return threshold # call back for slider to update based on manual input @app.callback( dash.dependencies.Output(component_id="my-slider",component_property="value"),[dash.dependencies.Input("input-box",) def update_output(value): threshold = float(value) return threshold # call back to update table @app.callback( dash.dependencies.Output("update-table",) def update_output(value): threshold = float(value) table_data = pd.DataFrame.from_dict( { "AUC": [threshold * 0.8,} ) return html.Div( [ dash_table.DataTable( data=table_data.to_dict("rows"),columns=[{"id": x,"name": x} for x in table_data.columns],) ] ) if __name__ == "__main__": app.run_server(host="0.0.0.0",port=8050,debug=True,dev_tools_hot_reload=True) 转换为数据框（这使table_data方法是pd.DataFrame方法有效！）

.to_dict()

1. 也在 table_data = pd.DataFrame.from_dict( { "AUC": [threshold * 0.8,} ) 回调fxn中：

   • A。将df .to_dict方法调用
   的“记录”更改为“行”
   • B。您使用table而不是table_data作为列参数
   • C。在这里删除update_output Dash参数的使用，因为它已经在布局中了

id

1. 好像您已切换了最大和最小！ （最大为零不会留下很多可能的输入！[实际上，没有..]）；放置小数点和匹配精度也很重要，以防万一。

    return html.Div(
        [
            dash_table.DataTable(
                data=table_data.to_dict("rows"),)
        ]
    )