| 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 115278 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_001/trajectory/00_traj_1344.5.json.gz |
| Loading a file takes 52.48s |
| Creating data frames takes 21.41s |
| Filling data types and values takes 5.82s |
|
|
| Processing a file takes 18.72s |
| Concatenating time series takes 0.44s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_001/trajectory/01_traj_2309.0.json.gz |
| Loading a file takes 55.93s |
| Creating data frames takes 22.04s |
| Filling data types and values takes 5.84s |
|
|
| Processing a file takes 19.20s |
| Concatenating time series takes 0.30s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_001/trajectory/02_traj_3231.0.json.gz |
| Loading a file takes 57.21s |
| Creating data frames takes 21.59s |
| Filling data types and values takes 5.70s |
|
|
| Processing a file takes 18.14s |
| Concatenating time series takes 0.28s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_001/trajectory/03_traj_4124.0.json.gz |
| Loading a file takes 53.81s |
| Creating data frames takes 21.70s |
| Filling data types and values takes 5.77s |
|
|
| Processing a file takes 17.63s |
| Concatenating time series takes 0.36s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_001/trajectory/04_traj_4997.5.json.gz |
| Loading a file takes 55.19s |
| Creating data frames takes 21.92s |
| Filling data types and values takes 5.53s |
|
|
| Processing a file takes 17.13s |
| Concatenating time series takes 0.50s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_001/trajectory/05_traj_5833.5.json.gz |
| Loading a file takes 51.22s |
| Creating data frames takes 20.27s |
| Filling data types and values takes 5.56s |
|
|
| Processing a file takes 28.84s |
| Concatenating time series takes 0.52s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_001/trajectory/06_traj_6636.0.json.gz |
| Loading a file takes 56.77s |
| Creating data frames takes 20.72s |
| Filling data types and values takes 5.48s |
|
|
| Processing a file takes 35.11s |
| Concatenating time series takes 0.50s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_001/trajectory/07_traj_7502.0.json.gz |
| Loading a file takes 58.31s |
| Creating data frames takes 21.64s |
| Filling data types and values takes 5.80s |
|
|
| Processing a file takes 18.65s |
| Concatenating time series takes 0.82s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_001/trajectory/08_traj_end.json.gz |
| Loading a file takes 29.98s |
| Creating data frames takes 10.93s |
| Filling data types and values takes 3.02s |
|
|
| Processing a file takes 12.28s |
| Concatenating time series takes 0.23s |
| Saving all the section time series takes 80.92s |
| Saving all the junction time series takes 11.11s |
| Saving network entrance and exit takes 0.08s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1520 [00:00<?, ?it/s]
0%| | 1/1520 [00:00<09:52, 2.56it/s]
1%| | 13/1520 [00:00<00:44, 33.98it/s]
2%|β | 35/1520 [00:00<00:17, 82.58it/s]
5%|β | 75/1520 [00:00<00:08, 170.13it/s]
7%|β | 112/1520 [00:00<00:06, 220.71it/s]
9%|β | 140/1520 [00:00<00:06, 222.59it/s]
11%|β | 166/1520 [00:01<00:06, 222.75it/s]
13%|ββ | 191/1520 [00:01<00:06, 214.51it/s]
14%|ββ | 218/1520 [00:01<00:05, 223.72it/s]
16%|ββ | 248/1520 [00:01<00:05, 238.51it/s]
18%|ββ | 273/1520 [00:01<00:05, 236.84it/s]
20%|ββ | 298/1520 [00:01<00:05, 235.16it/s]
21%|ββ | 322/1520 [00:02<00:17, 70.20it/s]
23%|βββ | 351/1520 [00:02<00:12, 92.86it/s]
25%|βββ | 387/1520 [00:02<00:09, 124.07it/s]
28%|βββ | 426/1520 [00:02<00:06, 163.52it/s]
30%|βββ | 454/1520 [00:03<00:05, 181.66it/s]
32%|ββββ | 481/1520 [00:03<00:05, 184.98it/s]
33%|ββββ | 506/1520 [00:03<00:05, 187.75it/s]
35%|ββββ | 530/1520 [00:03<00:05, 195.30it/s]
36%|ββββ | 553/1520 [00:03<00:05, 188.24it/s]
38%|ββββ | 577/1520 [00:03<00:04, 194.34it/s]
39%|ββββ | 599/1520 [00:03<00:04, 191.89it/s]
41%|ββββ | 622/1520 [00:03<00:04, 197.97it/s]
42%|βββββ | 643/1520 [00:03<00:04, 195.42it/s]
44%|βββββ | 671/1520 [00:04<00:03, 213.68it/s]
46%|βββββ | 694/1520 [00:04<00:03, 212.95it/s]
47%|βββββ | 720/1520 [00:04<00:03, 225.22it/s]
49%|βββββ | 743/1520 [00:04<00:03, 226.51it/s]
50%|βββββ | 766/1520 [00:04<00:03, 215.14it/s]
52%|ββββββ | 788/1520 [00:04<00:03, 213.73it/s]
53%|ββββββ | 810/1520 [00:04<00:03, 215.19it/s]
55%|ββββββ | 835/1520 [00:04<00:03, 223.87it/s]
57%|ββββββ | 862/1520 [00:04<00:02, 236.54it/s]
58%|ββββββ | 886/1520 [00:05<00:02, 228.20it/s]
60%|ββββββ | 909/1520 [00:05<00:02, 225.22it/s]
61%|βββββββ | 932/1520 [00:05<00:02, 221.26it/s]
63%|βββββββ | 965/1520 [00:05<00:02, 249.67it/s]
65%|βββββββ | 991/1520 [00:05<00:02, 247.68it/s]
67%|βββββββ | 1017/1520 [00:05<00:02, 250.32it/s]
69%|βββββββ | 1043/1520 [00:05<00:01, 239.61it/s]
70%|βββββββ | 1068/1520 [00:05<00:01, 238.32it/s]
72%|ββββββββ | 1092/1520 [00:05<00:01, 228.19it/s]
73%|ββββββββ | 1115/1520 [00:06<00:01, 221.63it/s]
75%|ββββββββ | 1139/1520 [00:06<00:01, 223.07it/s]
77%|ββββββββ | 1170/1520 [00:06<00:01, 245.19it/s]
79%|ββββββββ | 1195/1520 [00:06<00:01, 233.12it/s]
80%|ββββββββ | 1219/1520 [00:06<00:01, 226.66it/s]
82%|βββββββββ | 1253/1520 [00:06<00:01, 257.94it/s]
84%|βββββββββ | 1280/1520 [00:06<00:00, 253.35it/s]
86%|βββββββββ | 1313/1520 [00:06<00:00, 251.30it/s]
88%|βββββββββ | 1339/1520 [00:06<00:00, 252.93it/s]
90%|βββββββββ | 1365/1520 [00:07<00:02, 68.60it/s]
92%|ββββββββββ| 1391/1520 [00:08<00:01, 85.40it/s]
93%|ββββββββββ| 1416/1520 [00:08<00:01, 103.85it/s]
95%|ββββββββββ| 1442/1520 [00:08<00:00, 120.77it/s]
97%|ββββββββββ| 1467/1520 [00:08<00:00, 139.47it/s]
98%|ββββββββββ| 1492/1520 [00:08<00:00, 155.04it/s]
100%|ββββββββββ| 1520/1520 [00:08<00:00, 176.46it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_001/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
|
|