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analyse_testing_result4.py
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"""
根据某个传感器某个时刻的速度绘制此时受其他传感器的影响
`index`: 对应某个时刻
`nn`: 对应某个传感器
`output_window`: [2,5,11],根据输出的哪个预测窗口算平均
`input_dim`: [0,1,-1],对哪个输入维度做检验,如果是-1则取两个维度平均值
"""
import argparse
import os.path
import matplotlib.pyplot as plt
import numpy as np
from analyse_testing_result import get_exp_id
from libcity.utils import ensure_dir
from visualize_sensor import visualize_sensor_varying
if __name__ == '__main__':
plt.rc('font', family='Times New Roman', size=20)
parser = argparse.ArgumentParser()
parser.add_argument('--dataset', type=str, default='METR_LA', choices=['METR_LA', 'PEMS_BAY'])
parser.add_argument('--index', type=int, default=19)
parser.add_argument('--nn', type=int, default=0, help='node number')
parser.add_argument('--od', type=int, default=0, help='output dim')
parser.add_argument('--output_window', type=int, default=2, choices=[2, 5, 11])
parser.add_argument('--input_dim', type=int, default=0, choices=[0, 1, -1])
# 解析参数
args = parser.parse_args()
sensors = 207 if args.dataset == 'METR_LA' else 325
exp_id = get_exp_id(args.dataset, args.index)
res_dir = f'analyse_testing_result4/{args.dataset}/{args.nn}/{args.output_window}_{args.input_dim}'
ensure_dir(res_dir)
testing_res_dir = './libcity/cache/{}/testing_cache'.format(exp_id)
assert os.path.exists(testing_res_dir)
ext = {}
for test_nn in range(sensors):
filename = 'ps_testing_{}_{}_{}_{}_{}.npy'.format(args.index, args.output_window, args.nn, args.od, test_nn)
read_data = 1 - np.load(os.path.join(testing_res_dir, filename))
if test_nn == args.nn:
if args.input_dim == -1:
ext[test_nn] = np.mean(read_data[11, :])
else:
ext[test_nn] = read_data[11, args.input_dim]
else:
if args.input_dim == -1:
ext[test_nn] = np.mean(read_data[0, :])
else:
ext[test_nn] = read_data[0, args.input_dim]
visualize_sensor_varying('METR_LA', args.nn, ext, filename=f'{res_dir}/{args.nn}_{args.index}.html')