如何用folium聚类圆形标记？

如何解决如何用folium聚类圆形标记？

一些标记放置得很近，墨尔本有 4 个标记，放大时可见，我想在缩小时有一个带有计数的聚集标记。那可能吗？ 请参阅下面的代码、数据框和我的输出。

我的输出：

墨尔本特写：

import pandas as pd

world_geo = r'world_countries.json' # geojson file

world_map = folium.Map(
    location = [0,0],zoom_start = 3,width = 1500,height = 1100,tiles = 'cartodb positron',prefer_canvas = True,max_bounds = True
)
world_map.choropleth( 
    name = 'choropleth WB100',geo_data = world_geo,data = dfcv,columns = ['Country','Total'],key_on = 'feature.properties.name',nan_fill_color = 'white',nan_fill_opacity = 0.1,fill_color = 'Greens',fill_opacity = 0.7,line_opacity = 0.2,legend_name = 'Worlds Best 100 Bars'
)

world_map

mapa = folium.map.FeatureGroup()

for lat,lng,bar,city,pos in zip(
    df.Latitude,df.Longitude,df.Bar,df.City,df.wb_pos):
    
    label= '{},{},Number {}'.format(bar,pos) 
    
    mapa.add_child(
        folium.CircleMarker(
            [lat,lng],label = label,popup = label,radius = 5,color = 'yellow',fill = True,fill_color = 'blue',fill_opacity = 0.6
        ).add_to(mapa)
    )

# Build a CircleMarker for each row based on the lat long of the record
df.apply(lambda row: folium.CircleMarker(
    location=[row["Latitude"],row["Longitude"]],radius=10,).add_to(world_map),axis=1)

world_map.add_child(mapa)

请参阅下面的 df 数据框：

{'Bar': {0: 'Connaught Bar',1: 'dante',2: 'The Clumsies',3: 'Atlas',4: 'Tayēr + Elementary'},'City': {0: 'London',1: 'New York',2: 'athens',3: 'Singapore',4: 'London'},'Country': {0: 'UK',1: 'USA',2: 'Greece',4: 'UK'},'Delivery': {0: 0,1: 1,2: 1,3: 1,4: 1},'Latitude': {0: 51.507358,1: 40.7129,2: 37.9838,3: 1.352,4: 23.7276},'Longitude': {0: 0.1278,1: -74.006,2: 23.7275,3: 103.8198,4: 0.1278},'Region': {0: 'Europe',1: 'north America',2: 'Europe',3: 'Asia',4: 'Europe'},'Shop': {0: 1,2: 0,'Takeway': {0: 0,3: 0,'Virtual Events': {0: 0,1: 0,4: 0},'first_submission': {0: 0,'wb_pos': {0: 1,1: 2,2: 3,3: 4,4: 5}}

可能不相关，但为了避免混淆，请参阅下面的 dfcv 数据框：

{'Country': {0: 'United Kingdom',1: 'United States of America',2: 'Singapore',3: 'Australia',4: 'China'},'Total': {0: 13,1: 12,2: 7,3: 7,4: 6}}