Previous project people developed the app on Python shiny. Project partners requested the map does not revert back to its original center and zoom when adding visualization layers, so I was hoping to see if there’s a way in ipyleaflet to use event handlers to track the UI activity and then reflect that information in the map. Any ideas?

` last_center = [44.44343571548758,-84.36155640717737]
last_zoom = 6

@output
@render_widget
def map():
    basemap = basemaps[input.basemap()]
    layerlist = input.layers()

    the_map = L.Map(basemap=basemap,
                 center= last_center, 
                 zoom= last_zoom,  layout=Layout(width="100%", height="100%"))
    markerorcircle = False


    if "Marker (name, address, # sites, source)" in layerlist:
        build_marker_layer(LARA_C = 0)
        marker_cluster = L.MarkerCluster(
            name='location markers',
            markers=tuple(mklist_mh)
            )
        the_map.add_layer(marker_cluster)
        markerorcircle = True
    if "Marker LARA (name, address, # sites, source)" in layerlist:
        build_marker_layer(LARA_C = 1)
        marker_cluster = L.MarkerCluster(
            name='location markers',
            markers=tuple(mklist_lara)
            )
        the_map.add_layer(marker_cluster)
        markerorcircle = True
    if "Legislative districts (Michigan State Senate)" in layerlist:
        build_district_layers(upper = 1)
        the_map.add_layer(upper_layers[0])
    if "Legislative districts (Michigan State House of Representatives)" in layerlist:
        build_district_layers(upper = 0)
        the_map.add_layer(lower_layers[0])

    return the_map`

I have no idea at all how to do this. And have no clue where to find more since the documentation seems to suggest you CAN’T do this.