How can I create interactive visualizations using Plotly Dash?

How can I create interactive visualizations using Plotly Dash?

You can create interactive visualizations in Plotly Dash by using its components like graphs, sliders, and dropdowns. Would you like a code example?

Yes, please provide a simple example.

Here's a basic example:

import dash
from dash import dcc, html
import plotly.express as px

app = dash.Dash(__name__)

df = px.data.iris()

app.layout = html.Div([
    dcc.Graph(
        id='example-graph',
        figure=px.scatter(df, x='sepal_width', y='sepal_length', color='species')
    )
])

if __name__ == '__main__':
    app.run_server(debug=True)

This code creates a simple scatter plot of the Iris dataset. Would you like to know more about customizing the graph?

Yes, how can I customize the colors and layout?

You can customize the colors and layout by modifying the figure parameter in the dcc.Graph component. For example:

figure = px.scatter(df, x='sepal_width', y='sepal_length', color='species', color_discrete_sequence=['red', 'green', 'blue'])

You can also adjust the layout using update_layout() method. Would you like to see more customization options?