如何将工具提示添加到一个集群的每一个项目中？

Question

INTRO：我有一个geopandas dataframe df_osm (点和多边形)如下：

geometry                                              name
0  POLYGON ((1.46423 43.56901, 1.46428 43.56847, ...  A
1  POLYGON ((1.38403 43.60532, 1.38319 43.60517, ...  B
2  POLYGON ((1.48632 43.53240, 1.48744 43.53285, ...  C
3  POLYGON ((1.40321 43.57974, 1.40315 43.57974, ...  D
4  POLYGON ((1.46420 43.57225, 1.46553 43.57278, ...  E

我的目标是用星系团制作一张叶图。我能够用下面的代码行创建映射，一切看起来都很好：

m = folium.Map(location=[df_cdm.latitude.mean(),df_cdm.longitude.mean()], zoom_start=15, tiles='CartoDB positron', max_zoom = 20)

m_cluster = MarkerCluster(name='OSM').add_to(m)
for i, row in df_osm.iterrows():
    
    sim_geo = gpd.GeoSeries(row['geometry'])
    geo_j = sim_geo.to_json()
    geo_j = folium.GeoJson(data=geo_j,
                           style_function=lambda x: {'fillColor': 'orange'})
    geo_j.add_to(m_cluster)

m

​

​

问题：我的目标是将一个工具提示添加到显示其名称的dataframe的每个项中。在互联网上阅读时，我发现我应该在folium.GeoJson函数中包括以下条目：

tooltip=folium.GeoJsonTooltip(fields=['name'])

然而，当我显示地图时，所有多边形和标记都没有任何工具提示。你能提出一个聪明而优雅的方法来实现我的目标吗？

Answer 1

我没有答案，只有一个可重复的MWE。使用地质公园自然地球城市作为数据

观察

1. 添加标记不带MarkerCluster悬停工作，显示城市名称，并指定集群
2. 添加标记在MarkerCluster中无悬停，使用完全相同的代码为它们构建
3. 添加标记，图层控件将它们全部显示。只有在

上单击层时，才会显示悬停。

import geopandas as gpd
import numpy as np
import shapely.ops
import folium, folium.plugins

gdf = gpd.read_file(gpd.datasets.get_path("naturalearth_cities"))

# sample some points to make a voronoi to cluster points
r = np.random.RandomState(13)
gdf_ = gdf.sample(5, random_state=r)

gdf_clusters = gpd.GeoDataFrame(
    geometry=gpd.GeoSeries(
        shapely.ops.voronoi_diagram(gdf_.dissolve()["geometry"].values[0]).geoms
    ),
    crs=gdf_.crs,
)

gdf = (
    gpd.sjoin(gdf, gdf_clusters)
    .rename(columns={"index_right": "cluster"})
    .sort_values(["cluster", "name"])
)

# add some columns for hover...
gdf_clusters = gdf_clusters.join(
    gdf.groupby("cluster").agg(first=("name", "first"), last=("name", "last"))
)

# create folium map, simple way
m = gdf_clusters.reset_index().explore(name="polys")

# cluster the points added to marker clusters...
for c, d in gdf.groupby("cluster"):
    m_c = folium.plugins.MarkerCluster(name=f"mc: {c}").add_to(m)
    fields = d.drop(columns="geometry").columns.tolist()
    markers = folium.GeoJson(
        name = f"m: {c}",
        data=d.__geo_interface__,
        tooltip=folium.GeoJsonTooltip(fields),

    )
    markers.add_to(m_c) 
    # markers.add_to(m)

folium.LayerControl().add_to(m)
m

更新

• 工具提示不适用于用GeoJson()创建的标记，标记
• 也适用于单独创建的Marker()。下面的代码显示了如何执行这个

# cluster the points added to marker clusters...
for c, d in gdf.groupby("cluster"):
    m_c = folium.plugins.MarkerCluster(name=f"mc: {c}")
    for _, row in d.iterrows():
        folium.Marker(
            location=[row.geometry.y, row.geometry.x],
            tooltip=f"""<b>name</b>: {row["name"]}""",
        ).add_to(m_c)

    m_c.add_to(m)

folium.LayerControl().add_to(m)
m

Answer 2

我能够用以下技巧解决我的问题：

• 在2

中分裂位势

- List of points
- List of polygons

然后把它们分别地画出来：

mask = df_osm['geometry'].geom_type=='Point'
df_osm_point = df_osm[mask].reset_index(drop=True)
df_osm_polygons = df_osm[~mask].reset_index(drop=True)

最后，分别绘制所有内容：

import folium
from folium.plugins import BeautifyIcon, MarkerCluster, Fullscreen

cols = df_osm.columns[1:] # Exclude geometry column

m = folium.Map(location=[df_cdm.latitude.mean(),df_cdm.longitude.mean()], zoom_start=15, tiles='CartoDB positron', max_zoom = 20)

m_cluster = MarkerCluster(name='OSM').add_to(m)
for i, row in df_osm_point.iterrows():
    
    tooltip = ""
    for col in cols:
        if row[col]!='':
            tooltip += f"<b>{col}</b>: {row[col]}<br>"
    
    folium.Marker(location=[row['latitude'], row['longitude']],
                  tooltip=tooltip).add_to(m_cluster)

    
for _, row in df_osm_polygons.iterrows():
    
    tooltip = ""
    for col in cols:
        if row[col]!='':
            tooltip += f"<b>{col}</b>: {row[col]}<br>"
            
    sim_geo = gpd.GeoSeries(row['geometry']).simplify(tolerance=0.001)
    geo_j = sim_geo.to_json()
    geo_j = folium.GeoJson(data=geo_j,
                           style_function=lambda x: {'fillColor': 'orange'})
    folium.Tooltip(tooltip).add_to(geo_j)
    geo_j.add_to(m)


m_cluster = MarkerCluster(name='OTHER').add_to(m)
for i, row in df_cdm.iterrows():
    
    tooltip = f"""<p><b>Source</b>: {row['source']}<br>
                  <b>name</b>: {row['name']}<br>
                  <b>address</b>: {row['address']}<br>
                  <b>website</b>: {row['website']}<br>
                  <b>latitude</b>: {row['latitude']}<br>
                  <b>longitude</b>: {row['longitude']}</p>"""
    
    folium.Marker(location=[row['latitude'], row['longitude']],
                  tooltip=tooltip,
                  icon=folium.Icon(color='green',icon_color='black')).add_to(m_cluster)

Fullscreen(position='topright',
force_separate_button=True
).add_to(m)
folium.LayerControl().add_to(m)

m