dash-leaflet | Dash Leaflet is a light wrapper around React-Leaflet | Frontend Framework library

import dash_leaflet as dl
import plotly.graph_objs as go
from dash import Dash, dcc, html, Input, Output, State

style = {'width': '50%', 'height': '500px', 'float': 'left'}
# Build small example app.
app = Dash(__name__)
app.layout = html

import dash_html_components as html
import dash_leaflet as dl
from dash import Dash

# A few cities in Denmark.
cities = [dict(title="Aalborg", position=[57.0268172, 9.837735]),
          dict(title="Aarhus", position=[56.1780842, 10.11193

import json
import dash_leaflet as dl
from dash import html, Input, Output, Dash

app = Dash()
app.layout = html.Div([
    dl.Map(dl.TileLayer(), style={'width': '1000px', 'height': '500px'}, id="map"),
    html.Div(id="log")
])

@app.call

import dash_html_components as html
import dash_leaflet as dl
from dash_extensions.enrich import Input, Output, State, Dash

zoom_min, zoom_max, zoom0 = 1, 18, 6  # min/max zoom levels might depend on the tiles used 
app = Dash(prevent_ini

app.clientside_callback(
    """
    function(value, hideout) {
        console.log(hideout);
        return {
            dd_defaults: value
            }
    ;}
    """,
        Output("geojson", "hideout"), Input("dd", "value"), Input("

window.myNamespace = Object.assign({}, window.myNamespace, {  
    mySubNamespace: {  
        filter_features: function(feature, context) {
            // code should return true if feature is included, otherwise false
            const v

import dash
import dash_html_components as html
import dash_leaflet as dl
import geocoder

locations = ["New York", "Chicago", "Miami", "New York", "Portland", "Miami"]
# Create markers.
markers = [dl.Marker(title=locations.count(item), po

import dash
import dash_html_components as html
import dash_leaflet as dl

app = dash.Dash()
app.layout = html.Div([
    dl.Map(children=[dl.TileLayer(), dl.Marker(position=(56, 10), children=dl.Popup("I am a popup"))],
           style={'