import numpy as npfrom scipy.spatial.distance import directed_hausdorff145.16 7.73 NaN NaN一对夫妇的计算距离(P_final, Q_final)[0]对于整个数据集与for循环相同的进程()
distance from a['0'
数据集中的行数为500000+。我需要每个id与他人之间的Hausdorff距离。并对整个数据集重复它。我想计算import numpy as np
from scipy.spatial.distance import directed_hausdorffv = np.array([(2.6898,22.1166),(2.6951,22.1162)]) # coordinates of `id_easy`