Access click on plotly choroplethmapbox

app.py

# Example adapted from https://plotly.com/python/mapbox-county-choropleth/

import json
from urllib.request import urlopen

import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
from shinywidgets import render_plotly

from shiny import reactive
from shiny.express import render

with urlopen(
    "https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json"
) as response:
    counties = json.load(response)

df = pd.read_csv(
    "https://raw.githubusercontent.com/plotly/datasets/master/fips-unemp-16.csv",
    dtype={"fips": str},
)


@render_plotly
def plot1():
    fig = px.choropleth_mapbox(
        df,
        geojson=counties,
        locations="fips",
        color="unemp",
        color_continuous_scale="Viridis",
        range_color=(0, 12),
        mapbox_style="carto-positron",
        zoom=3,
        center={"lat": 37.0902, "lon": -95.7129},
        opacity=0.5,
        labels={"unemp": "unemployment rate"},
    )
    fig.update_layout(margin={"r": 0, "t": 0, "l": 0, "b": 0})
    # Need to create a FigureWidget() for on_click to work
    w = go.FigureWidget(fig.data, fig.layout)
    w.data[0].on_click(on_choropleth_click)
    return w


# Capture the clicked point in a reactive value
pt_reactive = reactive.value()


def on_choropleth_click(trace, points, state):
    pt_reactive.set(points)

# Display the clicked point
@render.code
def click_info():
    return str(pt_reactive.get())