[英]How to use a boolean switch to update a graph in Dash?
我是 Dash 的新手。 我正在尝试使用daq.BooleanSwitch()
类的输入来回调图形。 我可以显示一条消息,但我对图表有问题。
有没有人有任何可以帮助我的建议?
import dash
from dash.dependencies import Input, Output
import dash_daq as daq
import dash_html_components as html
app = dash.Dash(__name__)
app.layout = html.Div([
html.H1("Here we go"),
daq.BooleanSwitch(id='my_pb', on=False,color="red"),
html.Div(id='power-button-result-1'),
dcc.Graph(id="plot")
])
@app.callback(
Output('power-button-result-1', 'children'),
Input('my_pb', 'on')
)
def update_output(on):
x = '{}'.format(on)
if x == "True":
return "Hi Iḿ using DASH"
@app.callback(
Output('plot', 'figure'),
Input('my_pb', 'on')
)
def figura(on):
x = '{}'.format(on)
if x == "True":
# fig1 = Code to do a nice plot
return fig1
if __name__ == "__main__":
app.run_server(port = 1895)
我的 DASH 输出如下所示:
我查看了您的代码,需要进行一些更改:
import dash
import dash_daq as daq
from dash import dcc
from dash import html
from dash.dependencies import Input
from dash.dependencies import Output
app = dash.Dash(__name__)
app.layout = html.Div(
[
html.H1("Here we go"),
daq.BooleanSwitch(id="my_pb", on=False, color="red"),
html.Div(id="power-button-result-1"),
]
)
@app.callback(
Output("power-button-result-1", "children"),
Input("my_pb", "on"),
)
def update_output(on):
x = "{}".format(on)
if x == "True":
return [dcc.Graph(id="plot")]
if __name__ == "__main__":
app.run_server(debug=True)
你非常接近 - 我认为你只需要一个回调。 在这里,您可以看到布尔开关现在切换dcc.Graph
对象的显示(或不显示)。 这就是你要找的吗?
如果您希望图形已经被显示,然后在切换时更新,这里是上面相同代码的稍微修改的扩展版本来做到这一点:
import dash
import dash_daq as daq
from dash import dcc
from dash import html
from dash import no_update
from dash.dependencies import Input
from dash.dependencies import Output
import plotly.express as px
import pandas as pd
app = dash.Dash(__name__)
app.layout = html.Div(
[
html.H1("Here we go"),
daq.BooleanSwitch(id="my_pb", on=False, color="red"),
html.Div(
[dcc.Graph(id="plot")], id="power-button-result-1"
),
]
)
@app.callback(
Output("power-button-result-1", "children"),
Input("my_pb", "on"),
)
def update_output(on):
df = px.data.iris()
if on:
fig = px.scatter(df, x="sepal_width", y="sepal_length")
dcc.Graph(figure=fig)
return [dcc.Graph(figure=fig)]
else:
fig = px.scatter()
return [dcc.Graph(figure=fig)]
if __name__ == "__main__":
app.run_server(debug=True)
那里 - 好多了,希望有帮助?
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