from geopy.distance import geodesic print(geodesic((lat1,lon1), (lat2,lon2)).m) 1. 2. from math import radians, cos, sin, asin, sqrt def distance_between_points(lat1, lon1, lat2, lon2): """ Calculate the great circle distance between two points on the earth (specified in decima...
AI检测代码解析 # 定义两个三维点point_a=(1,2,3)# 第一个点的坐标point_b=(4,5,6)# 第二个点的坐标# 调用函数并打印结果result=calculate_distance(point_a,point_b)# 计算点的距离print("The distance between points A and B is:",result)# 输出结果 1. 2. 3. 4. 5. 6. 7. 完整代码 ...
from geopy.distance import geodesic print(geodesic((lat1,lon1), (lat2,lon2)).m) from math import radians, cos, sin, asin, sqrt def distance_between_points(lat1, lon1, lat2, lon2): """ Calculate the great circle distance between two points on the earth (specified in decimal degrees...
from math import radians, cos, sin, asin, sqrt def distance_between_points(lat1, lon1, lat2, lon2): # 将十进制度数转化为弧度 lon1, lat1, lon2, lat2 = map(radians, [float(lon1), float(lat1), float(lon2), float(lat2)]) # haversine 公式 dlon = lon2 - lon1 dlat = lat...
defdegrees_to_radians(degrees):returndegrees*math.pi/180.0defdistance_between_points(lat1,lon1,lat2,lon2):earth_radius=6371.0# 地球平均半径,单位:公里 # 将经纬度转换为弧度 lat1_radians=degrees_to_radians(lat1)lon1_radians=degrees_to_radians(lon1)lat2_radians=degrees_to_radians(lat2)lon2_...
distance = np.linalg.norm(data[0] - data[1]) print(f"Euclidean Distance between first two points: {distance}") 代码解释: 生成随机高维数据:np.random.rand(1000, 300)生成1000个300维的数据点。 计算欧式距离:np.linalg.norm(data[0] - data[1]) ...
Calculate the great circle distance between two points on the earth (specified in decimal degrees) """ # 将十进制度数转化为弧度 lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2]) # haversine公式 dlon = lon2 - lon1 ...
以下是一个示例Python代码: ```python import math def distance_between_points(x1, y1, z1, x2, y2, z2): return math.sqrt((x2 - x1)**2 + (y2 - y1)**2 + (z2 - z1)**2) # 例子:计算两点 (1, 2, 3) 和 (4, 5, 6) 之间的距离 x1, y1, z1 = 1, 2, 3 x2, y2...
# Calculate the distance between the two points using the Euclidean distance metric dist=euclidean_distance(X_test[i], X_train[j]) distances.append((dist, y_train[j])) # Sort the distances list by distance (ascending order) distances.sort() ...
Calculate the great circle distance between two points onthe earth (specifiedindecimaldegrees) """ lat1 = a[0][0] lon1 = a[1][0] lat2 = b[0][0] lon2 = b[1][0] # 将十进制度数转化为弧度 lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2]) ...