向量列表的 Harvesine 向量化

import numpy as npfrom haversine import haversine    string_list_1 = [(20.00,-100.1),...]  # List of vector pair coordinates (lat,long)string_list_2 = [(21.00,-101.1),...]  # Another list of pair coordinatesdist_mat = np.zeros((len(string_list_1), len(string_list_2)))for i, coord1 in enumerate(string_list_1):   dist_mat[i, :] = np.array([haversine(coord1, coord2) for coord2 in string_list_2])

from sklearn.metrics.pairwise import haversine_distanceshaversine_distances(string_list_1,string_list_2)