Various extensions for the Plotly Dash framework
Project description
dash-extensions
The purpose of this package is to provide various extensions to the Plotly Dash framework. It is essentially a collection of code snippets that i have been reusing across multiple projects.
DashCallbackBlueprint
A known limitation of Dash is the inability to assign multiple callbacks to the same output. Hence the following code will not work,
import dash
import dash_html_components as html
from dash.dependencies import Output, Input
app = dash.Dash()
app.layout = html.Div([html.Button("Button 1", id="btn1"), html.Button("Button 2", id="btn2"), html.Div(id="div")])
@app.callback(Output("div", "children"), [Input("btn1", "n_clicks")])
def click_btn1(n_clicks):
return "You clicked btn1"
@app.callback(Output("div", "children"), [Input("btn2", "n_clicks")])
def click_btn2(n_clicks):
return "You clicked btn2"
if __name__ == '__main__':
app.run_server()
Specifically, a dash.exceptions.DuplicateCallbackOutput exception will be raised as an attempt is made to assign the output Output("div", "children")
a second time.
To address this problem, this package provides the DashCallbackBlueprint
class. It acts as a proxy for the Dash application during callback registration, but unlike the Dash application, it supports assignment of multiple callbacks to the same output. When all callbacks have been assigned, the blueprint is registered on the Dash application,
import dash
import dash_html_components as html
from dash.dependencies import Output, Input
from dash_extensions.callback import DashCallbackBlueprint
app = dash.Dash()
app.layout = html.Div([html.Button("Button 1", id="btn1"), html.Button("Button 2", id="btn2"), html.Div(id="div")])
dcb = DashCallbackBlueprint()
@dcb.callback(Output("div", "children"), [Input("btn1", "n_clicks")])
def click_btn1(n_clicks):
return "You clicked btn1"
@dcb.callback(Output("div", "children"), [Input("btn2", "n_clicks")])
def click_btn2(n_clicks):
return "You clicked btn2"
dcb.register(app)
if __name__ == '__main__':
app.run_server()
Under the hood, the two callbacks are merged into one with the appropriate function handler invoked depending on the input trigger. In this simple case, the two callbacks could easily have been merged by hand. However, in more complex cases, the callback merging and control flow delegation can be cumbersome to implement by hand.
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