A Minimal Dash App

A minimal Dash app will typically look like this:

from dash import Dash, html, dcc, callback, Output, Input import plotly.express as px import pandas as pd df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminder_unfiltered.csv') app = Dash() # Requires Dash 2.17.0 or later app.layout = [ html.H1(children='Title of Dash App', style={'textAlign':'center'}), dcc.Dropdown(df.country.unique(), 'Canada', id='dropdown-selection'), dcc.Graph(id='graph-content') ] @callback( Output('graph-content', 'figure'), Input('dropdown-selection', 'value') ) def update_graph(value): dff = df[df.country==value] return px.line(dff, x='year', y='pop') if __name__ == '__main__': app.run(debug=True)

Title of Dash App

To run the app, copy the above code into a new file named app.py and type into your terminal the command python app.py.
Then, go to the http link.

Dash is running on <a href="http://127.0.0.1:8050/">http://127.0.0.1:8050/</a> * Serving Flask app 'app' (lazy loading) * Environment: production WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead. * Debug mode: on * Running on <a href="http://127.0.0.1:8050">http://127.0.0.1:8050</a> (Press CTRL+C to quit)

Alternatively, you can run the app in a Jupyter Notebook cell.

Did you know? You can publish Dash apps to Plotly Cloud for free!

The next section will cover the main elements of a Dash app: Dash in 20 minutes tutorial.