您好，我正在使用破折号应用程序，因此无法以某种方式在不同的div回调之间更新图形。该应用程序的工作方式如下：
下面是回调代码：
#Video Selection
@app.callback(Output("video-display", "url"),
[Input("submit_button", "n_clicks")],
[State('video_url', 'value')])
def select_footage(n_clicks, video_url):
if n_clicks is not None and n_clicks > 0:
url = video_url
return url
# Processing and Storing the results in dcc.store
@app.callback(Output("intermediate-value", "data"),
[Input("submit_button", "n_clicks")],
[State('video_url', 'value')])
def video_processing(n_clicks, value ):
global frame
if n_clicks is not None and n_clicks > 0:
frame = python_func(url)
return frame.to_json(orient='split')
# Callback to change the graph view mode div
@app.callback(Output("div-graph-mode", "children"),
[Input("dropdown-graph-view-mode", "value")])
def update_graph_mode(value):
if value == "graphical":
return [
html.Div(
children=[
html.P(children="Retention Score of Detected Labels",
className='plot-title'),
dcc.Graph(
id="bar-score-graph",
style={'height': '55vh', 'width': '100%'}
),
html.P(children="Audience Retention Behavior",
className='plot-title'),
dcc.Graph(
id="line_chart_retention",
style={'height': '45vh', 'width': '100%'}
)
]
)
]
else:
return []
@app.callback(Output("div-table-mode", "children"),
[Input("dropdown-graph-view-mode", "value")])
def update_table_mode(dropdown_value):
if dropdown_value == "table":
return [
html.Div(
children=[
html.P(children="Retention By Label",
className='plot-title'),
html.Div([
table.DataTable(
id="label_retention",
)],
style={'height': '45vh'}),
html.P(children="Retention by Time Stamp",
className='plot-title'),
html.Div([
table.DataTable(
id="timestamp_retention",
style_table={'maxHeight': '40vh', 'width': '100%', 'overflowY': 'scroll'})],
style={'height': '40vh'}
)
]
)
]
else:
return []
# Updating Graphs
@app.callback(Output("label_retention", "figure"),
[Input("dropdown-graph-view-mode", "value")])
def update_table_bar(value):
global frame
if frame is not None:
print(frame)
print("table")
print(value)
@app.callback(Output("bar-score-graph", "figure"),
[Input("dropdown-graph-view-mode", "value")])
def update_score_bar(value):
global frame
if frame is not None:
print(frame)
print("graph")
print(value)
现在发生的事情是，如果我尝试在两种图形视图模式之间切换，则该应用程序不会反映图形，而是需要再次单击该按钮才能获得结果。因此，基本上，我相信当我使用下拉菜单切换时，数据不会在dcc.store组件中丢失。
如何使应用程序表现为python函数仅在“提交”按钮上运行一次，但随后我便能够在视图模式之间切换以查看图形。
非常感谢！
P.S。这只是一小段代码，因为代码太长，但是如果您想查看整个代码，请告诉我。
更新：我刚刚意识到，当我选择Graph Mode（图形模式）时，该应用程序将打印Table Mode的结果，而当我选择Table Model时，该应用程序将打印图形模式的结果。我不知道为什么会这样。
答案 0 :(得分：1)
我终于能够解决以下问题：
@app.callback(Output("div-table-mode", "children"),
[Input("dropdown-graph-view-mode", "value")])
def update_table_mode(dropdown_value):
if dropdown_value == "tabular":
return [
html.Div(
children=[
html.P(children="Retention By Label",
className='plot-title', style={'margin': '0 0 1em 0'}),
html.Div([
table.DataTable(
id="label_retention",
columns=[{"name": i, "id": i} for i in label_retention.columns],
data=label_retention.to_dict("rows"),
style_table={'maxHeight': '40vh', 'width': '100%', 'overflowY': 'scroll'},
style_cell_conditional=[
{
'if': {'column_id': c},
'textAlign': 'left'
} for c in ['Labels']
],
style_data_conditional=[
{
'if': {'row_index': 'odd'},
'backgroundColor': 'rgb(248, 248, 248)'
}
],
style_header={
'backgroundColor': 'rgb(230, 230, 230)',
'fontWeight': 'bold'
}
)],
style={'height': '40vh'}),
html.P(children="Retention by Time Stamp",
className='plot-title', style={'margin': '1em 0 1em 0'}),
html.Div([
table.DataTable(
id="timestamp_retention",
columns=[{"name": i, "id": i} for i in timeline_retention.columns],
data=timeline_retention.to_dict("rows"),
style_table={'maxHeight': '40vh', 'width': '100%', 'overflowY': 'scroll'},
style_cell={'textAlign': 'left', 'minWidth': '20px', 'width': '20px', 'maxWidth': '50px',
'whiteSpace': 'normal'},
css=[{
'selector': '.dash-cell div.dash-cell-value',
'rule': 'display: inline; white-space: inherit; overflow: inherit; text-overflow: inherit;'
}],
style_data_conditional=[
{
'if': {'row_index': 'odd'},
'backgroundColor': 'rgb(248, 248, 248)'
}
],
style_header={
'backgroundColor': 'rgb(230, 230, 230)',
'fontWeight': 'bold'
}
)],
style={'height': '40vh'}
)
],
style={'backgroundColor': '#F2F2F2'}
)
]
else:
return []
@app.callback(Output("div-graph-mode", "children"),
[Input("dropdown-graph-view-mode", "value")])
def update_graph_mode(value):
if value == "graphical":
return [
html.Div(
children=[
html.P(children="Retention Score of Detected Labels",
className='plot-title', style={'margin': '0 0 1em 0', 'width': '100%'}),
dcc.Graph(
id="bar-score-graph",
figure=go.Figure({
'data': [{'hoverinfo': 'x+text',
'name': 'Detection Scores',
#'text': y_text,
'type': 'bar',
'x': label_retention["Description"],
'marker': {'color': colors},
'y': label_retention["sum"].tolist()}],
'layout': {'showlegend': False,
'autosize': False,
'paper_bgcolor': 'rgb(249,249,249)',
'plot_bgcolor': 'rgb(249,249,249)',
'xaxis': {'automargin': True, 'tickangle': -45},
'yaxis': {'automargin': True, 'range': [minval, maxval], 'title': {'text': 'Score'}}}
}
),
style={'height': '55vh', 'width': '100%'}
),
html.P(children="Audience Retention Behavior",
className='plot-title', style={'margin': '0 0 1em 0', 'width': '100%'}),
dcc.Graph(
id="line_chart_retention",
figure=go.Figure({
'data': [go.Scatter(x=label_retention['Start'], y=label_retention['sum'], mode='lines', name='Audience Retention',
line=dict(color='firebrick', width=4))],
'layout': {
'yaxis': {'title': {'text': 'Audience Retention'}, 'automargin': True},
'xaxis': {'title': {'text': 'Time Segment'}, 'automargin': True},
'paper_bgcolor': 'rgb(249,249,249)',
'plot_bgcolor': 'rgb(249,249,249)',
}
}),
style={'height': '45vh', 'width': '100%'}
)
],
style={'backgroundColor': '#F2F2F2', 'width': '100%'}
)
]
else:
return []