python计算经纬度之间距离

以下是两种Python计算经纬度之间距离的方法：

1. 使用haversine公式计算经纬度之间的距离：

import math

def haversine(lon1, lat1, lon2, lat2):
    # 将经纬度转换为弧度
    lon1 = math.radians(lon1)
    lat1 = math.radians(lat1)
    lon2 = math.radians(lon2)
    lat2 = math.radians(lat2)

    # haversine公式
    dlon = lon2 - lon1
    dlat = lat2 - lat1
    a = math.sin(dlat/2)**2 + math.cos(lat1) * math.cos(lat2) * math.sin(dlon/2)**2
    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a))
    distance = 6371 * c * 1000  # 结果以米为单位

    return distance

# 示例使用
lon1 = 102.8083989
lat1 = 24.8962294
lon2 = 102.471938
lat2 = 24.912491

distance = haversine(lon1, lat1, lon2, lat2)
print("距离：", distance, "米")

2. 使用scipy库中的cdist函数计算经纬度之间的距离：

from scipy.spatial.distance import cdist

lonlat1 = [[102.8083989, 24.8962294]]  # 经度、纬度
lonlat2 = [[102.471938, 24.912491]]  # 经度、纬度

distance = cdist(lonlat1, lonlat2, metric='euclidean')
distance = list(list(list(distance))[0] * 100000)[0]  # 结果以米为单位

print("距离：", distance, "米")