| INFO: Pandarallel will run on 8 workers. |
| INFO: Pandarallel will use Memory file system to transfer data between the main process and workers. |
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| Selecting 5.0% vehicles from 123453 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/00_traj_1339.0.json.gz |
| Loading a file takes 48.04s |
| Creating data frames takes 23.19s |
| Filling data types and values takes 5.96s |
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| Processing a file takes 17.59s |
| Concatenating time series takes 0.48s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/01_traj_2231.0.json.gz |
| Loading a file takes 55.03s |
| Creating data frames takes 25.62s |
| Filling data types and values takes 5.82s |
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| Processing a file takes 17.85s |
| Concatenating time series takes 0.26s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/02_traj_3082.0.json.gz |
| Loading a file takes 53.98s |
| Creating data frames takes 25.08s |
| Filling data types and values takes 5.90s |
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|
| Processing a file takes 18.37s |
| Concatenating time series takes 0.30s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/03_traj_3910.0.json.gz |
| Loading a file takes 49.95s |
| Creating data frames takes 21.73s |
| Filling data types and values takes 5.55s |
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| Processing a file takes 17.91s |
| Concatenating time series takes 0.46s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/04_traj_4738.5.json.gz |
| Loading a file takes 55.81s |
| Creating data frames takes 23.78s |
| Filling data types and values takes 5.93s |
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|
| Processing a file takes 18.20s |
| Concatenating time series takes 0.50s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/05_traj_5544.0.json.gz |
| Loading a file takes 52.65s |
| Creating data frames takes 24.94s |
| Filling data types and values takes 5.91s |
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|
| Processing a file takes 30.06s |
| Concatenating time series takes 0.58s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/06_traj_6324.5.json.gz |
| Loading a file takes 56.65s |
| Creating data frames takes 22.08s |
| Filling data types and values takes 6.52s |
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|
| Processing a file takes 23.42s |
| Concatenating time series takes 0.69s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/07_traj_7089.0.json.gz |
| Loading a file takes 62.96s |
| Creating data frames takes 25.13s |
| Filling data types and values takes 6.09s |
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|
| Processing a file takes 19.23s |
| Concatenating time series takes 0.83s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/08_traj_end.json.gz |
| Loading a file takes 42.02s |
| Creating data frames takes 23.87s |
| Filling data types and values takes 5.09s |
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|
| Processing a file takes 33.40s |
| Concatenating time series takes 0.40s |
| Saving all the section time series takes 81.31s |
| Saving all the junction time series takes 11.36s |
| Saving network entrance and exit takes 0.09s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1520 [00:00<?, ?it/s]
0%| | 1/1520 [00:00<13:24, 1.89it/s]
1%| | 16/1520 [00:00<00:47, 31.71it/s]
3%|β | 43/1520 [00:00<00:17, 84.70it/s]
5%|β | 75/1520 [00:00<00:10, 140.37it/s]
7%|β | 110/1520 [00:00<00:07, 193.26it/s]
9%|β | 137/1520 [00:01<00:07, 183.57it/s]
11%|β | 161/1520 [00:01<00:07, 173.25it/s]
12%|ββ | 184/1520 [00:01<00:07, 184.27it/s]
13%|ββ | 205/1520 [00:01<00:07, 186.23it/s]
15%|ββ | 227/1520 [00:01<00:06, 193.19it/s]
17%|ββ | 255/1520 [00:01<00:05, 211.27it/s]
18%|ββ | 278/1520 [00:01<00:06, 202.43it/s]
20%|ββ | 305/1520 [00:01<00:05, 219.88it/s]
22%|βββ | 328/1520 [00:02<00:18, 64.26it/s]
23%|βββ | 354/1520 [00:03<00:13, 83.56it/s]
26%|βββ | 398/1520 [00:03<00:08, 127.50it/s]
28%|βββ | 425/1520 [00:03<00:07, 147.62it/s]
30%|βββ | 451/1520 [00:03<00:06, 164.60it/s]
31%|ββββ | 476/1520 [00:03<00:06, 173.06it/s]
33%|ββββ | 500/1520 [00:03<00:05, 181.55it/s]
34%|ββββ | 523/1520 [00:03<00:05, 182.81it/s]
36%|ββββ | 545/1520 [00:03<00:05, 178.83it/s]
37%|ββββ | 566/1520 [00:03<00:05, 178.43it/s]
39%|ββββ | 587/1520 [00:04<00:05, 185.52it/s]
40%|ββββ | 607/1520 [00:04<00:04, 183.26it/s]
41%|βββββ | 629/1520 [00:04<00:04, 190.86it/s]
43%|βββββ | 658/1520 [00:04<00:04, 214.73it/s]
45%|βββββ | 684/1520 [00:04<00:03, 226.31it/s]
47%|βββββ | 709/1520 [00:04<00:03, 230.89it/s]
48%|βββββ | 733/1520 [00:04<00:03, 230.65it/s]
50%|βββββ | 757/1520 [00:04<00:03, 219.38it/s]
51%|ββββββ | 780/1520 [00:04<00:03, 216.60it/s]
53%|ββββββ | 803/1520 [00:05<00:03, 219.00it/s]
54%|ββββββ | 826/1520 [00:05<00:03, 202.38it/s]
56%|ββββββ | 850/1520 [00:05<00:03, 211.66it/s]
58%|ββββββ | 876/1520 [00:05<00:02, 223.81it/s]
59%|ββββββ | 899/1520 [00:05<00:02, 220.31it/s]
61%|ββββββ | 922/1520 [00:05<00:02, 222.67it/s]
62%|βββββββ | 945/1520 [00:05<00:02, 223.19it/s]
64%|βββββββ | 978/1520 [00:05<00:02, 250.24it/s]
66%|βββββββ | 1004/1520 [00:05<00:02, 249.17it/s]
68%|βββββββ | 1029/1520 [00:06<00:02, 226.87it/s]
69%|βββββββ | 1054/1520 [00:06<00:01, 233.19it/s]
71%|βββββββ | 1079/1520 [00:06<00:01, 237.10it/s]
73%|ββββββββ | 1105/1520 [00:06<00:01, 240.49it/s]
74%|ββββββββ | 1130/1520 [00:06<00:01, 233.88it/s]
76%|ββββββββ | 1154/1520 [00:06<00:01, 228.51it/s]
78%|ββββββββ | 1185/1520 [00:06<00:01, 249.73it/s]
80%|ββββββββ | 1211/1520 [00:06<00:01, 246.67it/s]
82%|βββββββββ | 1243/1520 [00:06<00:01, 266.70it/s]
84%|βββββββββ | 1270/1520 [00:06<00:00, 263.33it/s]
86%|βββββββββ | 1301/1520 [00:07<00:00, 272.82it/s]
87%|βββββββββ | 1329/1520 [00:07<00:00, 256.97it/s]
89%|βββββββββ | 1357/1520 [00:07<00:00, 257.63it/s]
91%|βββββββββ | 1383/1520 [00:08<00:01, 70.15it/s]
93%|ββββββββββ| 1408/1520 [00:08<00:01, 87.66it/s]
94%|ββββββββββ| 1435/1520 [00:08<00:00, 109.27it/s]
96%|ββββββββββ| 1458/1520 [00:08<00:00, 125.07it/s]
97%|ββββββββββ| 1480/1520 [00:08<00:00, 136.45it/s]
100%|ββββββββββ| 1520/1520 [00:08<00:00, 170.57it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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