Can shared_axes work in make_subplot when trace type is a map?

📊 Plotly Python
1

Hello, Plotly comunity,

I’d like to show a group of maps which all respond to zoom and pan operations in any one of them, just as shared_xaxes=‘all’ and shared_yaxes=‘all’ normally work for make_subplots with other trace types.

The maps are created OK, but I cannot get beyond the zoom/pan changes only affecting the current subplot.

I know I could do this backend by collecting changes to current center/zoom and spawn a callback to rescale/relocate all subplots with the collected valules. It would be nicer if it was possible client-side.

I am doing this in a Shiny app, but the figure itself is created by the following function:

def InitiateMultiPlot():
    ncols = 3
    nrows = 2
    mapnames = ['ODM_HydMetGeo', 'ODM_RelVanninnhold', 
                             'ODM_RelVannTilførsel','GWB_HydMetGeo', '
                             GWB_RelVanninnhold', 'GWB_RelVannTilførsel']   
    fig = make_subplots(rows=nrows, cols=ncols, 
                          specs=[[{"type": "map"}, {"type": "map"}, {"type": "map"}], 
                                        [{"type": "map"}, {"type": "map"}, {"type": "map"}]
                            ],
                           shared_xaxes='all', shared_yaxes='all', horizontal_spacing=0.02, 
                           vertical_spacing=0.04, subplot_titles=mapnames
                        )
    for plotno, imgname in enumerate(mapnames):
          row = plotno//ncols+1
          col = plotno%ncols+1
          showlegend = (plotno==0) # Only show one legend
          fig.add_trace(go.Scattermap(name = imgname, mode = 'markers', 
                                                              hoverinfo = 'text', showlegend=showlegend), 
                                                              row=row, col=col)
          fig.update_geos(projection_type="mercator")
          fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0}, clickmode='event+select', height=1000)
    cur_zoom = 4.5
    cur_center = [65, 18]  
    fig.update_maps(style='open-street-map', zoom=cur_zoom, 
                                   center = {"lat": cur_center[0], "lon": cur_center[1]})
    return fig

All help appreciated.

2

Oops. I see that this feature has already been equested here: add shared axis for Scattergeo and other map plots · Issue #6813 · plotly/plotly.js