如何使用 Folium 绘制成对的起点和终点地理空间点之间的路线?

How to plot routes between pairs of starting and ending geospatial points using Folium?

我有一个 pandas 数据帧,其中包含路线起点和终点的经纬度,所以这些是我的列 ('origin_lat, 'origin_lon',destination_lat ','destination_lon').

我可以在 Folium 地图上绘制位置,但我正在寻找一种方法来绘制每个位置之间的路线。

这是我使用的代码:

m = folium.Map([16.7, 81.095], zoom_start=11)
m

# mark each origin as a point

for index, row in df.iterrows():
    folium.CircleMarker([row['origin_lat'], row['origin_lng']],
                        radius=15,
                        fill_color="#3db7e4", # divvy color
                       ).add_to(m)

for index, row in df.iterrows():
    folium.CircleMarker([row['destination_lat'], row['destination_lng']],
                        radius=15,
                        fill_color="red", # divvy color
                       ).add_to(m)

#add routes

folium.PolyLine([list(zip(df.origin_lat, df.origin_lng)),list(zip(df.destination_lat, df.destination_lng))], line_opacity = 0.5, color='white',line_weight=5).add_to(m)


我使用的代码是将所有起点位置连接在一起,并将所有目的地位置连接在一起,但我想改为绘制起点和目的地之间的路线。我有什么办法可以解决它吗?

如果我正确理解你的问题,我相信我有你的解决方案

部分进口

import pandas as pd
import numpy as np
import folium

一些示例数据

centroid_lat = 16.7
centroid_lon = 81.095

x = .1

n = 10

o_lats = np.random.uniform(low=centroid_lat - x, high=centroid_lat + x, size=(n,))
o_lons = np.random.uniform(low=centroid_lon - x, high=centroid_lon + x, size=(n,))
d_lats = np.random.uniform(low=centroid_lat - x, high=centroid_lat + x, size=(n,))
d_lons = np.random.uniform(low=centroid_lon - x, high=centroid_lon + x, size=(n,))

df = pd.DataFrame({'origin_lng' : o_lons, 'origin_lat' : o_lats,
                   'destination_lng': d_lons, 'destination_lat': d_lats})

print(df.head())
   destination_lat  destination_lng  origin_lat  origin_lng
0        16.797057        81.074000   16.660164   81.080038
1        16.615371        81.001004   16.772645   80.997770
2        16.784289        81.117082   16.670008   81.032719
3        16.686201        81.184775   16.787999   81.189585
4        16.757704        81.127280   16.720080   81.178466

然后是地图。不需要两个 for 循环,我每次迭代都创建一行

m = folium.Map([centroid_lat, centroid_lon], zoom_start=11)

for _, row in df.iterrows():
    folium.CircleMarker([row['origin_lat'], row['origin_lng']],
                        radius=15,
                        fill_color="#3db7e4", # divvy color
                       ).add_to(m)

    folium.CircleMarker([row['destination_lat'], row['destination_lng']],
                        radius=15,
                        fill_color="red", # divvy color
                       ).add_to(m)

    folium.PolyLine([[row['origin_lat'], row['origin_lng']], 
                     [row['destination_lat'], row['destination_lng']]]).add_to(m)
m