Folium 根据值将标记放入标记簇和层中

Question

因此，我正在处理一个商店数据集，每个商店都有其纬度、经度、名称和类别。由于我们谈论的是数百甚至数千家商店，我正在使用标记集群，它们运行良好...

现在，我还需要根据它们的类别将这些商店设置在不同的图层中，这样当我点击说“电子商店”时，我只会在地图上看到这些商店（它们应该从标记集群）

考虑这个示例数据：

stores = [(-23.5578906,-46.6665546, 'store1','electronics'),
             (-23.562711,-46.674363, 'store2','home goods'),
             (-23.5642399,-46.6681833, 'store3','beauty'),
             (-23.584167,-46.678497, 'store4','electronics'),
             (-23.5956238,-46.6865377, 'store5','electronics'),
             (-23.5868682,-46.6773554,'store6','home goods'), 
             (-23.6011096,-46.6739275, 'store7','beauty'),
             (-23.6087354,-46.6973713, 'store8','home goods'),
             (-23.5943515,-46.6846959, 'store9','beauty')]

我的代码可以很好地将标记放入集群中，但是当我尝试根据它们的类别将它们添加到图层时，它不起作用。我没有收到任何错误，并且地图“加载”，但没有显示标记和集群，而且我在地图上没有任何图层。

这是我的代码：

    mymap = folium.Map(location=[y_map, x_map], zoom_start=11,tiles=None)
    folium.TileLayer(name="Mapbox Bright",control=False).add_to(mymap)

    markers_list = []
    all_gp = []
    for lat, lng, name, category zip(df_stores['LAT'], 
                                                  df_stores['LNG'],
                                                  df_stores['NAME'],
                                                  df_stores['CATEGORY']
                                              ):
        html = '''NAME: ''' + name + '''<br>CATEGORY: ''' + category
            
        iframe = folium.IFrame(html,
                               width=300,
                               height=130)

        popup = folium.Popup(iframe,
                                 max_width=300)
        
         
        lead_marker = folium.Marker(
                [lat, lng],   
                popup=popup,
                icon=folium.Icon(color='purple', icon='glyphicon-cutlery', prefix='glyphicon')
        )
        markers_list.append(lead_marker)
        
        pg = category
        all_gp.append(pg)
        
    mCluster = MarkerCluster(name="Stores").add_to(mymap)
    
    for pnt in markers_list:
        pnt.add_to(mCluster)

######################################################################
    # Create point_layer object
    unique_gp = list(set(all_gp))
    vlist = []
    for i,k in enumerate(unique_gp):
        locals()[f'point_layer{i}'] = folium.FeatureGroup(name=k)
        vlist.append(locals()[f'point_layer{i}'])
        
    # Creating list for point_layer
    pl_group = []
    for n in all_gp:
        for v in vlist: 
            if n == vars(v)['layer_name']:
                pl_group.append(v)
                
    for pnt,pg in zip(markers_list,pl_group):
        pnt.add_to(pg)
        pg.add_to(mymap)
######################################################################   
        
    folium.LayerControl().add_to(mymap) 
    mymap.add_child(MeasureControl()) 
    mymap.render()
    mymap.save('stores.html')

############ 行之间的代码我在此处采用了另一个 post () 并将其改编为我的代码，但似乎我错过了什么。如果我从代码中取出最后一个 for 循环，地图会正确加载，其集群工作正常，有什么建议吗？

Answer 1

我会理解地回答问题是如何创建类别图层，为属于它的信息添加标记，并用图层控件控制show/hide。首先，从数据框中的行信息中设置各自的列数据，并添加pop-up信息。在pre-preparedper-category图层中根据类别信息添加类别信息

import pandas as pd
import numpy as np
import folium
from folium.plugins import MarkerCluster

stores = [(-23.5578906,-46.6665546, 'store1','electronics'),
             (-23.562711,-46.674363, 'store2','home goods'),
             (-23.5642399,-46.6681833, 'store3','beauty'),
             (-23.584167,-46.678497, 'store4','electronics'),
             (-23.5956238,-46.6865377, 'store5','electronics'),
             (-23.5868682,-46.6773554,'store6','home goods'), 
             (-23.6011096,-46.6739275, 'store7','beauty'),
             (-23.6087354,-46.6973713, 'store8','home goods'),
             (-23.5943515,-46.6846959, 'store9','beauty')]

df = pd.DataFrame(stores, columns=['LAT','LNG','NAME','CATEGORY'])

mymap = folium.Map(location=[df['LAT'].mean(), df['LNG'].mean()], zoom_start=12)

#mCluster = MarkerCluster(name="Stores").add_to(mymap)
mCluster_hg = MarkerCluster(name="home goods").add_to(mymap)
mCluster_ele = MarkerCluster(name="electronics").add_to(mymap)
mCluster_bea = MarkerCluster(name="beauty").add_to(mymap)

for row in df.itertuples():
    #print(row)
    location = row[1], row[2]
    icon=folium.Icon(color='purple', icon='glyphicon-cutlery', prefix='glyphicon')
    html = '''NAME: ''' + row[3] + '''<br>CATEGORY: ''' + row[4]
    iframe = folium.IFrame(html, width=300, height=130)
    popup = folium.Popup(iframe, max_width=300)
    marker = folium.Marker(location=location, popup=popup, icon=icon)
    #folium.Popup(popup).add_to(marker)
    #mCluster_bea.add_child(marker)
    if row[4] == 'electronics':
        mCluster_ele.add_child(marker)
    elif row[4] == 'home goods':
        mCluster_hg.add_child(marker)
    elif row[4] == 'beauty':
        mCluster_bea.add_child(marker)        

folium.LayerControl().add_to(mymap);

mymap

Folium 根据值将标记放入标记簇和层中

Folium put markers in marker clusters AND in layers based on a value

python

folium