python 筆記 ：trajectory_distance包（如何可以正確使用）【debug篇】-CSDN博客

經過前面的debug后，在setup.py對應的位置，寫代碼（直接在別處import traj_dist我還是出問題）

1 新建軌跡

import numpy as np# Three 2-D Trajectory
traj_A = np.array([[-122.39534, 37.77678],[-122.3992 , 37.77631],[-122.40235, 37.77594],[-122.40553, 37.77848],[-122.40801, 37.78043],[-122.40837, 37.78066],[-122.41103, 37.78463],[-122.41207, 37.78954],[-122.41252, 37.79232],[-122.41316, 37.7951 ],[-122.41392, 37.7989 ],[-122.41435, 37.80129],[-122.41434, 37.80129]])
traj_B = np.array([[-122.39472, 37.77672],[-122.3946 , 37.77679],[-122.39314, 37.77846],[-122.39566, 37.78113],[-122.39978, 37.78438],[-122.40301, 37.78708],[-122.4048 , 37.78666],[-122.40584, 37.78564],[-122.40826, 37.78385],[-122.41061, 37.78321],[-122.41252, 37.78299]])
traj_C = np.array([[-122.39542, 37.77665],[-122.3988 , 37.77417],[-122.41042, 37.76944],[-122.41459, 37.77016],[-122.41462, 37.77013]])
traj_list = [traj_A, traj_B, traj_C]

2 導入包

import traj_dist.distance as tdist

3 單對軌跡的距離

tdist.sspd(traj_A,traj_B)
#0.0058480061454797665

4 pdist 和cdist

tdist.pdist(traj_list,metric="sspd")
'''
Computing euclidean distance sspd with implementation cython for 3 trajectories
array([0.00584801, 0.01141902, 0.00888597])
'''

tdist.cdist(traj_list,traj_list,metric="sspd")
'''
Computing euclidean distance sspd with implementation cython for 3 and 3 trajectories
array([[0.        , 0.00584801, 0.01141902],[0.00584801, 0.        , 0.00888597],[0.01141902, 0.00888597, 0.        ]])
'''