【发布时间】：2020-03-07 07:47:21
【问题描述】：
我试图让滑块、用户输入和表格之间的依赖关系起作用。我试过输出数据并使用回调来更新它。有人建议我只在回调中创建表并使用“Div”。定义其在显示中的位置。
其他信息：
- 表是使用 dash_table 库从 pandas DataFrame 创建的。
- 数据为字典格式。
- 变量
threshold是由用户输入（滑块或输入）调整的值
如果有人能帮我找出表格不显示的原因，我将不胜感激？
这是我的代码：
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
from dash.dependencies import Input, Output
import dash_table
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, threshold * 0.83],
"Specificity": [threshold * 0.78, threshold * 0.79],
"Precision": [threshold * 0.78, threshold * 0.79],
"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', type='float', max=0, min=1, step=0.01, value=threshold)
),
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', 'value')]
)
def update_output(value):
threshold = float(value)
return threshold
# call back to update table
@app.callback(
dash.dependencies.Output('update-table', 'children'),
[dash.dependencies.Input('my-slider', 'value')]
)
def update_output(value):
threshold = float(value)
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, threshold * 0.83],
"Specificity": [threshold * 0.78, threshold * 0.79],
"Precision": [threshold * 0.78, threshold * 0.79],
"F1": [threshold * 0.81, threshold * 0.82]}
return dash_table.DataTable(
id='update-table',
data= table_data.to_dict('records'),
columns=[{'id': x, 'name': x} for x in table.columns]
)
if __name__ == "__main__":
app.run_server()
【问题讨论】：
标签： python callback plotly-dash