Dash by Plotly is an open-source framework that empowers developers to build highly interactive web applications purely in Python. It’s particularly suited for creating data visualization dashboards with zero or minimal knowledge of front-end technologies. See the basics of getting started with Dash.
Installing Dash
To begin, install Dash and its dependencies using pip:
pip install dash
Creating Your First Dash App
Creating a Dash app is straightforward. Start by importing Dash and its components:
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
Then, initialize your app and define its layout:
app = dash.Dash(__name__)
app.layout = html.Div(children=[
html.H1(children='Hello Dash'),
dcc.Graph(id='example-graph',
figure={'data': [{'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'SF'}],
'layout': {'title': 'Dash Data Visualization'}})
])
Finally, run your app:
if __name__ == '__main__':
app.run_server(debug=True)
Adding Interactivity
Dash apps are interactive by design. Use Dash callbacks to make your components interactive:
@app.callback(
Output('example-graph', 'figure'),
[Input('input-field', 'value')]
)
def update_graph(input_value):
# Update the graph based on the input value here
return updated_figure
With Dash, Python developers can create beautiful, interactive web applications for data analysis without diving deep into front-end development. By leveraging Python’s power and Dash’s simplicity, you can transform your data into interactive stories and insights.