如何用python中的haversine库计算一个大的距离矩阵？

pip install haversine

from haversine import haversine, Unit

def calculate_distance_matrix(coordinates):
    n = len(coordinates)
    distance_matrix = [[0] * n for _ in range(n)]
    
    for i in range(n):
        for j in range(i+1, n):
            coord1 = coordinates[i]
            coord2 = coordinates[j]
            distance = haversine(coord1, coord2, unit=Unit.KILOMETERS)
            distance_matrix[i][j] = distance
            distance_matrix[j][i] = distance
    
    return distance_matrix

coordinates = [(lat1, lon1), (lat2, lon2), ..., (latn, lonn)]
distance_matrix = calculate_distance_matrix(coordinates)
print(distance_matrix)