| 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 125457 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_021/trajectory/00_traj_1333.0.json.gz |
| Loading a file takes 50.27s |
| Creating data frames takes 18.74s |
| Filling data types and values takes 5.06s |
|
|
| Processing a file takes 19.58s |
| Concatenating time series takes 0.39s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_021/trajectory/01_traj_2195.5.json.gz |
| Loading a file takes 55.81s |
| Creating data frames takes 21.53s |
| Filling data types and values takes 5.53s |
|
|
| Processing a file takes 17.75s |
| Concatenating time series takes 0.28s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_021/trajectory/02_traj_3054.0.json.gz |
| Loading a file takes 56.66s |
| Creating data frames takes 21.39s |
| Filling data types and values takes 5.63s |
|
|
| Processing a file takes 18.20s |
| Concatenating time series takes 0.33s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_021/trajectory/03_traj_3894.0.json.gz |
| Loading a file takes 54.24s |
| Creating data frames takes 22.18s |
| Filling data types and values takes 5.77s |
|
|
| Processing a file takes 18.38s |
| Concatenating time series takes 0.43s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_021/trajectory/04_traj_4728.0.json.gz |
| Loading a file takes 56.74s |
| Creating data frames takes 23.08s |
| Filling data types and values takes 5.87s |
|
|
| Processing a file takes 17.80s |
| Concatenating time series takes 0.49s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_021/trajectory/05_traj_5547.0.json.gz |
| Loading a file takes 53.91s |
| Creating data frames takes 29.49s |
| Filling data types and values takes 5.73s |
|
|
| Processing a file takes 37.91s |
| Concatenating time series takes 0.53s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_021/trajectory/06_traj_6348.0.json.gz |
| Loading a file takes 61.63s |
| Creating data frames takes 30.00s |
| Filling data types and values takes 5.93s |
|
|
| Processing a file takes 22.72s |
| Concatenating time series takes 0.50s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_021/trajectory/07_traj_7180.5.json.gz |
| Loading a file takes 58.91s |
| Creating data frames takes 22.54s |
| Filling data types and values takes 5.77s |
|
|
| Processing a file takes 18.45s |
| Concatenating time series takes 0.71s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_021/trajectory/08_traj_end.json.gz |
| Loading a file takes 15.22s |
| Creating data frames takes 6.30s |
| Filling data types and values takes 1.39s |
|
|
| Processing a file takes 12.74s |
| Concatenating time series takes 0.34s |
| Saving all the section time series takes 72.82s |
| Saving all the junction time series takes 10.44s |
| Saving network entrance and exit takes 0.08s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1516 [00:00<?, ?it/s]
0%| | 1/1516 [00:00<12:16, 2.06it/s]
0%| | 6/1516 [00:02<11:14, 2.24it/s]
21%|ββ | 314/1516 [00:02<00:07, 165.63it/s]
30%|βββ | 452/1516 [00:03<00:05, 199.78it/s]
36%|ββββ | 547/1516 [00:03<00:04, 196.62it/s]
41%|ββββ | 615/1516 [00:04<00:04, 195.83it/s]
44%|βββββ | 667/1516 [00:04<00:04, 205.81it/s]
47%|βββββ | 710/1516 [00:04<00:03, 210.66it/s]
49%|βββββ | 747/1516 [00:04<00:03, 203.52it/s]
51%|ββββββ | 778/1516 [00:04<00:03, 202.43it/s]
53%|ββββββ | 806/1516 [00:04<00:03, 208.11it/s]
55%|ββββββ | 833/1516 [00:05<00:03, 213.14it/s]
57%|ββββββ | 859/1516 [00:05<00:02, 219.57it/s]
58%|ββββββ | 885/1516 [00:05<00:02, 226.11it/s]
60%|ββββββ | 911/1516 [00:05<00:02, 223.03it/s]
62%|βββββββ | 935/1516 [00:05<00:02, 219.83it/s]
64%|βββββββ | 966/1516 [00:05<00:02, 240.85it/s]
65%|βββββββ | 992/1516 [00:05<00:02, 237.98it/s]
67%|βββββββ | 1020/1516 [00:05<00:02, 242.20it/s]
69%|βββββββ | 1045/1516 [00:05<00:01, 240.56it/s]
71%|βββββββ | 1072/1516 [00:06<00:01, 245.42it/s]
72%|ββββββββ | 1099/1516 [00:06<00:01, 248.68it/s]
74%|ββββββββ | 1125/1516 [00:06<00:01, 236.60it/s]
76%|ββββββββ | 1155/1516 [00:06<00:01, 252.48it/s]
78%|ββββββββ | 1184/1516 [00:06<00:01, 260.21it/s]
80%|ββββββββ | 1211/1516 [00:06<00:01, 258.95it/s]
82%|βββββββββ | 1241/1516 [00:06<00:01, 266.08it/s]
84%|βββββββββ | 1269/1516 [00:06<00:00, 268.27it/s]
85%|βββββββββ | 1296/1516 [00:06<00:00, 234.08it/s]
87%|βββββββββ | 1321/1516 [00:07<00:00, 228.89it/s]
89%|βββββββββ | 1345/1516 [00:08<00:02, 62.18it/s]
90%|βββββββββ | 1371/1516 [00:08<00:01, 79.80it/s]
92%|ββββββββββ| 1394/1516 [00:08<00:01, 96.84it/s]
94%|ββββββββββ| 1419/1516 [00:08<00:00, 116.60it/s]
95%|ββββββββββ| 1445/1516 [00:08<00:00, 140.13it/s]
97%|ββββββββββ| 1468/1516 [00:08<00:00, 156.02it/s]
98%|ββββββββββ| 1493/1516 [00:08<00:00, 175.87it/s]
100%|ββββββββββ| 1516/1516 [00:08<00:00, 170.14it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_021/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
|
|