File size: 8,017 Bytes
baa3847 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | INFO: Pandarallel will run on 8 workers.
INFO: Pandarallel will use Memory file system to transfer data between the main process and workers.
Selecting 5.0% vehicles from 138256 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/00_traj_1316.5.json.gz
Loading a file takes 52.40s
Creating data frames takes 25.09s
Filling data types and values takes 15.65s
Processing a file takes 18.24s
Concatenating time series takes 0.38s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/01_traj_2089.0.json.gz
Loading a file takes 56.29s
Creating data frames takes 53.34s
Filling data types and values takes 5.99s
Processing a file takes 16.99s
Concatenating time series takes 0.36s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/02_traj_2808.0.json.gz
Loading a file takes 57.98s
Creating data frames takes 60.70s
Filling data types and values takes 6.41s
Processing a file takes 18.24s
Concatenating time series takes 0.34s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/03_traj_3501.5.json.gz
Loading a file takes 54.17s
Creating data frames takes 57.94s
Filling data types and values takes 6.72s
Processing a file takes 18.40s
Concatenating time series takes 0.49s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/04_traj_4174.0.json.gz
Loading a file takes 59.09s
Creating data frames takes 31.29s
Filling data types and values takes 6.25s
Processing a file takes 18.56s
Concatenating time series takes 0.46s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/05_traj_4842.0.json.gz
Loading a file takes 56.04s
Creating data frames takes 32.00s
Filling data types and values takes 6.56s
Processing a file takes 22.56s
Concatenating time series takes 0.56s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/06_traj_5501.5.json.gz
Loading a file takes 58.90s
Creating data frames takes 25.31s
Filling data types and values takes 5.86s
Processing a file takes 28.10s
Concatenating time series takes 0.47s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/07_traj_6148.5.json.gz
Loading a file takes 57.08s
Creating data frames takes 26.10s
Filling data types and values takes 6.03s
Processing a file takes 25.90s
Concatenating time series takes 0.44s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/08_traj_6786.5.json.gz
Loading a file takes 56.85s
Creating data frames takes 25.52s
Filling data types and values takes 5.77s
Processing a file takes 26.18s
Concatenating time series takes 0.43s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/09_traj_7458.5.json.gz
Loading a file takes 55.32s
Creating data frames takes 25.27s
Filling data types and values takes 5.98s
Processing a file takes 23.96s
Concatenating time series takes 0.53s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/10_traj_end.json.gz
Loading a file takes 45.71s
Creating data frames takes 15.16s
Filling data types and values takes 4.20s
Processing a file takes 14.35s
Concatenating time series takes 0.25s
Saving all the section time series takes 87.17s
Saving all the junction time series takes 12.30s
Saving network entrance and exit takes 0.10s
Aggregating the raw statistics to different intervals...
0%| | 0/1522 [00:00<?, ?it/s]
0%| | 1/1522 [00:00<12:46, 1.98it/s]
1%| | 8/1522 [00:00<01:29, 16.96it/s]
2%|▏ | 36/1522 [00:00<00:18, 79.50it/s]
5%|▍ | 69/1522 [00:00<00:10, 140.08it/s]
7%|▋ | 103/1522 [00:00<00:07, 189.28it/s]
9%|▊ | 130/1522 [00:01<00:06, 203.80it/s]
10%|█ | 155/1522 [00:01<00:06, 197.34it/s]
12%|█▏ | 178/1522 [00:01<00:06, 201.29it/s]
13%|█▎ | 201/1522 [00:01<00:06, 203.01it/s]
15%|█▌ | 231/1522 [00:01<00:05, 228.11it/s]
17%|█▋ | 256/1522 [00:01<00:05, 220.18it/s]
18%|█▊ | 280/1522 [00:01<00:05, 223.00it/s]
20%|█▉ | 303/1522 [00:01<00:05, 204.81it/s]
21%|██▏ | 325/1522 [00:02<00:19, 60.76it/s]
23%|██▎ | 352/1522 [00:02<00:14, 80.71it/s]
25%|██▌ | 388/1522 [00:03<00:10, 110.31it/s]
28%|██▊ | 420/1522 [00:03<00:07, 139.71it/s]
29%|██▉ | 444/1522 [00:03<00:06, 154.18it/s]
31%|███ | 468/1522 [00:03<00:06, 165.57it/s]
32%|███▏ | 491/1522 [00:03<00:06, 162.23it/s]
34%|███▎ | 512/1522 [00:03<00:05, 169.30it/s]
35%|███▌ | 533/1522 [00:03<00:05, 170.74it/s]
36%|███▋ | 553/1522 [00:03<00:05, 168.62it/s]
38%|███▊ | 575/1522 [00:04<00:05, 180.46it/s]
39%|███▉ | 596/1522 [00:04<00:04, 187.61it/s]
41%|████ | 617/1522 [00:04<00:04, 192.24it/s]
42%|████▏ | 644/1522 [00:04<00:04, 212.07it/s]
44%|████▍ | 671/1522 [00:04<00:03, 225.51it/s]
46%|████▌ | 699/1522 [00:04<00:03, 236.99it/s]
48%|████▊ | 724/1522 [00:04<00:03, 239.64it/s]
49%|████▉ | 749/1522 [00:04<00:03, 232.26it/s]
51%|█████ | 773/1522 [00:04<00:03, 228.28it/s]
52%|█████▏ | 796/1522 [00:05<00:03, 214.68it/s]
54%|█████▍ | 824/1522 [00:05<00:03, 230.99it/s]
56%|█████▌ | 850/1522 [00:05<00:02, 238.13it/s]
58%|█████▊ | 878/1522 [00:05<00:02, 248.33it/s]
59%|█████▉ | 904/1522 [00:05<00:02, 237.65it/s]
61%|██████ | 929/1522 [00:05<00:02, 222.24it/s]
64%|██████▎ | 969/1522 [00:05<00:02, 263.26it/s]
65%|██████▌ | 996/1522 [00:05<00:02, 261.39it/s]
67%|██████▋ | 1023/1522 [00:05<00:01, 257.61it/s]
69%|██████▉ | 1049/1522 [00:06<00:01, 245.05it/s]
71%|███████ | 1074/1522 [00:06<00:01, 233.61it/s]
72%|███████▏ | 1098/1522 [00:06<00:02, 206.53it/s]
74%|███████▎ | 1120/1522 [00:06<00:01, 205.20it/s]
75%|███████▍ | 1141/1522 [00:06<00:01, 199.26it/s]
76%|███████▋ | 1162/1522 [00:06<00:01, 193.28it/s]
78%|███████▊ | 1182/1522 [00:06<00:01, 190.33it/s]
79%|███████▉ | 1208/1522 [00:06<00:01, 206.84it/s]
81%|████████▏ | 1239/1522 [00:06<00:01, 228.54it/s]
83%|████████▎ | 1269/1522 [00:07<00:01, 248.08it/s]
85%|████████▌ | 1295/1522 [00:07<00:00, 244.22it/s]
87%|████████▋ | 1320/1522 [00:07<00:00, 241.02it/s]
88%|████████▊ | 1345/1522 [00:07<00:00, 219.59it/s]
90%|████████▉ | 1368/1522 [00:08<00:02, 58.35it/s]
91%|█████████ | 1387/1522 [00:08<00:01, 69.44it/s]
93%|█████████▎| 1411/1522 [00:08<00:01, 88.73it/s]
94%|█████████▍| 1436/1522 [00:08<00:00, 110.16it/s]
96%|█████████▌| 1457/1522 [00:08<00:00, 125.04it/s]
97%|█████████▋| 1478/1522 [00:09<00:00, 140.45it/s]
99%|█████████▊| 1500/1522 [00:09<00:00, 154.26it/s]
100%|██████████| 1522/1522 [00:09<00:00, 165.04it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...
|