Overlaying second set of points based on selection stream from first set

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Success! I stumbled across this related one: Dynamically fetch other column value from selection1D stream

…and I think this revised section works:

point_size_slider = pn.widgets.IntSlider(name="Point Size",start=3,end=12,value=7)

@pn.depends(size=point_size_slider.param.value)
def base_points(size):
    return gv.Points(gv_table,kdims=['Longitude','Latitude'],vdims=['City','Country']).opts(size=size,tools=['lasso_select'],nonselection_alpha=0.2)

test = hv.DynamicMap(base_points)

sel = streams.Selection1D(source=test)

def get_countries(table, index):
    temp_ds = hv.Dataset(table.iloc[index]['Country'], 'Country')
    #lst = (temp_ds[()].data['Country'].values[:])
    return hv.Table(temp_ds[()].data['Country'])

def highlight_missed(table, index):
    '''
    Add another layer of points (empty black circle outlines) for the selected points; but expand visible points to all that share country label
    '''
    if len(index)>0:
        selected_countries = list(hv.Dataset(table.iloc[index]['Country'], 'Country')[()].data['Country'])
        return gv.Points(table.select(Country=selected_countries),kdims=['Longitude','Latitude'],vdims=['City','Country']).opts(size=7,nonselection_alpha=1.0,fill_color=None,line_width=1,line_color='black')
    else:
        return gv.Points(table,kdims=['Longitude','Latitude'],vdims=['City','Country']).opts(size=7,fill_color=None,line_width=1,line_color='black')

test2 = gv_table.apply(highlight_missed, streams=[sel])
id_dmap = gv_table.apply(get_countries, streams=[sel])

plot = tiles*test*test2
layout = pn.Row(pn.Column(point_size_slider,plot.opts(width=600,height=600)),id_dmap)
layout

(also added the hv.table to help check things while troubleshooting)

image

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