【Dash】使用 HTML 和 CSS 创建图表

一、Styling Your App

The examples in the previous section used Dash HTML Components to build a simple app layout, but you can style your app to look more professional. This section will give a brief overview of the multiple tools that you can use to enhance the layout style of a Dash app:

• HTML and CSS
• Dash Design kit (DDK)
• Dash Bootstrap Components
• Dash Mantine Components

二、HTML and CSS

HTML and CSS are the lowest level of interface for rendering content on the web. The HTML is a set of components, and CSS is a set of styles applied to those components. CSS styles can be applied within components via the style property, or they can be defined as a separate CSS file in reference with the className property.

# Import packages
from dash import Dash, html, dash_table, dcc, callback, Output, Input
import pandas as pd
import plotly.express as px

# Incorporate data
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminder2007.csv')

# Initialize th app - incorporate css
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = Dash(external_stylesheets=external_stylesheets)

# App layout
app.layout = html.Div([
    html.Div(className='row', children='My First App with Data, Graph, and Controls',
             style={'textAlign': 'center', 'color': 'blue', 'fontSize': 30}),

    html.Div(className='row', children=[
        dcc.RadioItems(options=['pop', 'lifeExp', 'gdpPercap'],
                       value='lifeExp',
                       inline=True,
                       id='my-radio-buttons-final')
    ]),

    html.Div(className='row', children=[
        html.Div(className='six columns', children=[
            dash_table.DataTable(data=df.to_dict('records'),
                                 page_size=11,
                                 style_table={'overflowX': 'auto'})
        ]),
        html.Div(className='six columns', children=[
            dcc.Graph(figure={}, id='histo-chart-final')
        ])
    ])
])


# Add controls to build the interaction
@callback(
    Output(component_id='histo-chart-final', component_property='figure'),
    Input(component_id='my-radio-buttons-final', component_property='value')
)
def update_graph(col_chosen):
    fig = px.histogram(df, x='continent', y=col_chosen, histfunc='avg')
    return fig


# Run the app
if __name__ == '__main__':
    app.run(debug=True)

三、解读