df_mock = pd.DataFrame(    {        "id": ["WC_0001", "WC_0002", "WC_0003", "WC_0004", "WC_0005"],        "Region": ["WC", "WC", "WC", "WC", "WC"],        "lon": [18.42, 18.46, 18.50, 18.54, 18.58],        "lat": [-33.93, -33.95, -33.91, -33.97, -33.89],        "cluster": [0, 1, 0, 2, 1],    })figg = go.Figure()figg.add_trace(    go.Scattermap(        lon=df_mock["lon"],        lat=df_mock["lat"],        mode="markers",        marker=dict(size=12, color="red", opacity=0.9),        customdata=df_mock[["id", "cluster"]].values,        hovertemplate=(            "<b>%{customdata[0]}</b><br>"            "cluster: %{customdata[1]}<br>"            "<extra></extra>"        ),        name="Mock sites",    ))figg.update_layout(    dragmode="lasso",    map=dict(       ,        zoom=10,        center=dict(lat=df_mock["lat"].mean(), lon=df_mock["lon"].mean()),    ),    margin=dict(l=0, r=0, t=0, b=0),)plot = mo.ui.plotly(figg)plot

plot.value