Create conditional formatting on HTML element

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Tags: #dash #html #conditional #formatting #element #plotly
Author: Florent Ravenel​
Last update: 2023-05-24 (Created: 2023-05-24)
Description: This notebook will show how to create conditional formatting of an HTML element using Dash.
References:
https://community.plotly.com/t/conditional-formatting-of-an-html-element/60230/2
https://dash.plotly.com/
Input
Import libraries
import os
try:
    import dash
except:
    !pip install dash --user
    import dash
try:
    import dash_bootstrap_components as dbc
except:
    !pip install dash_bootstrap_components --user
    import dash_bootstrap_components as dbc
from dash import html, dcc, Output, Input, State
Setup Variables
DASH_PORT: specify a port number for Dash
DASH_PORT = 8050
Model
Initialize Dash app
app = dash.Dash(
    requests_pathname_prefix=f'/user/{os.environ.get("JUPYTERHUB_USER")}/proxy/{DASH_PORT}/',
    external_stylesheets=[dbc.themes.BOOTSTRAP],
    meta_tags=[
        {"name": "viewport", "content": "width=device-width, initial-scale=1.0"}
    ],
)
​
# app = dash.Dash() if you are not in Naas
Create app layout
app.title = "Naas"
app.layout = html.Div(
    [
        html.H1("Enter your color in HEX"),
        dcc.Input(id="input"),
        html.H4(id="heading", children="A Heading")
    ]
)
​
@app.callback(
    Output("heading", "style"),
    Input("input", "value")
)
def update_style(value):
    return {
        "color": value
    }
Output
Generate URL and show logs
if __name__ == "__main__":
    app.run_server(proxy=f"http://127.0.0.1:{DASH_PORT}::https://app.naas.ai")
​
Deploy app in Naas
Create Navbar Dashboard
Last modified 1mo ago