python folium绘制地图

@TOC

folium 相比较于国内百度的 pyecharts 灵活性更强，能够自定义绘制区域，并且展现形式更加多样化。

各级别地图

世界地图

import folium

print(folium.__version__)

# define the world map
world_map = folium.Map()
# display world map
world_map

国家地图

市级地图

# define the city map
city_map = folium.Map(location=[39.93, 116.40], zoom_start=10)
# display city map
city_map

地图形式

更改tiles参数即可

# define the city map,tiles='Stamen Toner'
city_map = folium.Map(location=[39.93, 116.40], zoom_start=10, tiles='Stamen Toner')
# display city map
city_map

# define the city map, tiles='Stamen Terrain'
city_map = folium.Map(location=[39.93, 116.40], zoom_start=10, tiles='Stamen Terrain')
# display city map
city_map

普通标记

bj_map = folium.Map(location=[39.93, 116.40], zoom_start=12, tiles='Stamen Toner')

folium.Circle(
    radius=200,
    location=[39.92, 116.43],
    popup='The Waterfront',
    color='crimson',
    fill=False,
).add_to(bj_map)

folium.CircleMarker(
    location=[39.93, 116.38],
    radius=50,
    popup='Laurelhurst Park',
    color='#3186cc',
    fill=True,
    fill_color='#3186cc'
).add_to(bj_map)

bj_map

圆形标记

bj_map = folium.Map(location=[39.93, 116.40], zoom_start=12, tiles='Stamen Toner')

folium.Circle(
    radius=200,
    location=[39.92, 116.43],
    popup='The Waterfront',
    color='crimson',
    fill=False,
).add_to(bj_map)

folium.CircleMarker(
    location=[39.93, 116.38],
    radius=50,
    popup='Laurelhurst Park',
    color='#3186cc',
    fill=True,
    fill_color='#3186cc'
).add_to(bj_map)

bj_map

点击获取经纬度

m = folium.Map(location=[46.1991, -122.1889],tiles='Stamen Terrain',zoom_start=13)

m.add_child(folium.LatLngPopup())

m

动态放置标记

m = folium.Map(
    location=[46.8527, -121.7649],
    tiles='Stamen Terrain',
    zoom_start=13
)

folium.Marker(
    [46.8354, -121.7325],
    popup='Camp Muir'
).add_to(m)

m.add_child(folium.ClickForMarker(popup='Waypoint'))

m

热力图标记

# generated data
import numpy as np
data = (
    np.random.normal(size=(100, 3)) *
    np.array([[0.1, 0.1, 0.1]]) +
    np.array([[40, 116.5, 1]])
).tolist()
print(data)
# HeatMap
from folium.plugins import HeatMap
m = folium.Map([39.93, 116.38], tiles='stamentoner', zoom_start=6)
HeatMap(data).add_to(m)
# m.save(os.path.join('results', 'Heatmap.html'))
m

密度图绘制

from folium.plugins import MarkerCluster

m = folium.Map([39.93, 116.38], tiles='stamentoner', zoom_start=10)

# create a mark cluster object
marker_cluster = MarkerCluster().add_to(m)

# add data point to the mark cluster
for lat, lng, label in data:
    folium.Marker(
        location=[lat, lng],
        icon=None,
        popup=label,
    ).add_to(marker_cluster)

# add marker_cluster to map
m.add_child(marker_cluster)