| 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 139636 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/00_traj_1308.0.json.gz |
| Loading a file takes 51.64s |
| Creating data frames takes 22.22s |
| Filling data types and values takes 7.12s |
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| Processing a file takes 17.60s |
| Concatenating time series takes 0.41s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/01_traj_2070.0.json.gz |
| Loading a file takes 58.35s |
| Creating data frames takes 50.82s |
| Filling data types and values takes 6.51s |
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| Processing a file takes 18.33s |
| Concatenating time series takes 0.29s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/02_traj_2794.5.json.gz |
| Loading a file takes 60.46s |
| Creating data frames takes 33.47s |
| Filling data types and values takes 6.58s |
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| Processing a file takes 18.16s |
| Concatenating time series takes 0.38s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/03_traj_3495.5.json.gz |
| Loading a file takes 53.65s |
| Creating data frames takes 25.45s |
| Filling data types and values takes 6.42s |
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| Processing a file takes 18.58s |
| Concatenating time series takes 0.38s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/04_traj_4206.5.json.gz |
| Loading a file takes 58.89s |
| Creating data frames takes 25.86s |
| Filling data types and values takes 6.40s |
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| Processing a file takes 19.54s |
| Concatenating time series takes 0.46s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/05_traj_4928.5.json.gz |
| Loading a file takes 54.64s |
| Creating data frames takes 24.84s |
| Filling data types and values takes 6.51s |
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|
| Processing a file takes 31.65s |
| Concatenating time series takes 0.44s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/06_traj_5638.0.json.gz |
| Loading a file takes 60.91s |
| Creating data frames takes 26.54s |
| Filling data types and values takes 6.84s |
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|
| Processing a file takes 35.29s |
| Concatenating time series takes 0.48s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/07_traj_6330.5.json.gz |
| Loading a file takes 69.10s |
| Creating data frames takes 28.86s |
| Filling data types and values takes 5.65s |
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| Processing a file takes 18.03s |
| Concatenating time series takes 0.64s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/08_traj_7033.0.json.gz |
| Loading a file takes 51.67s |
| Creating data frames takes 42.44s |
| Filling data types and values takes 11.11s |
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|
| Processing a file takes 23.25s |
| Concatenating time series takes 0.44s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/09_traj_end.json.gz |
| Loading a file takes 41.46s |
| Creating data frames takes 34.02s |
| Filling data types and values takes 3.98s |
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| Processing a file takes 17.11s |
| Concatenating time series takes 0.54s |
| Saving all the section time series takes 74.87s |
| Saving all the junction time series takes 12.04s |
| Saving network entrance and exit takes 0.10s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1517 [00:00<?, ?it/s]
0%| | 1/1517 [00:00<12:53, 1.96it/s]
0%| | 7/1517 [00:01<03:36, 6.98it/s]
11%|β | 160/1517 [00:01<00:06, 203.10it/s]
15%|ββ | 228/1517 [00:01<00:06, 201.03it/s]
18%|ββ | 277/1517 [00:01<00:05, 210.87it/s]
21%|ββ | 317/1517 [00:02<00:12, 92.38it/s]
23%|βββ | 345/1517 [00:03<00:11, 105.36it/s]
25%|βββ | 378/1517 [00:03<00:08, 126.82it/s]
27%|βββ | 407/1517 [00:03<00:07, 143.55it/s]
29%|βββ | 435/1517 [00:03<00:07, 152.14it/s]
30%|βββ | 460/1517 [00:03<00:06, 161.85it/s]
32%|ββββ | 484/1517 [00:03<00:06, 155.89it/s]
33%|ββββ | 505/1517 [00:03<00:06, 156.61it/s]
35%|ββββ | 525/1517 [00:03<00:06, 152.49it/s]
36%|ββββ | 544/1517 [00:04<00:06, 151.55it/s]
37%|ββββ | 561/1517 [00:04<00:06, 152.41it/s]
38%|ββββ | 578/1517 [00:04<00:06, 155.44it/s]
39%|ββββ | 599/1517 [00:04<00:06, 152.47it/s]
41%|ββββ | 618/1517 [00:04<00:05, 155.02it/s]
42%|βββββ | 641/1517 [00:04<00:05, 170.45it/s]
43%|βββββ | 659/1517 [00:04<00:05, 169.58it/s]
45%|βββββ | 677/1517 [00:04<00:05, 166.95it/s]
46%|βββββ | 698/1517 [00:05<00:04, 178.32it/s]
47%|βββββ | 717/1517 [00:05<00:04, 177.21it/s]
49%|βββββ | 741/1517 [00:05<00:04, 192.49it/s]
50%|βββββ | 761/1517 [00:05<00:04, 185.31it/s]
51%|ββββββ | 780/1517 [00:05<00:04, 168.28it/s]
53%|ββββββ | 805/1517 [00:05<00:03, 186.08it/s]
55%|ββββββ | 832/1517 [00:05<00:03, 205.66it/s]
57%|ββββββ | 863/1517 [00:05<00:02, 233.99it/s]
59%|ββββββ | 888/1517 [00:05<00:02, 234.96it/s]
60%|ββββββ | 912/1517 [00:06<00:02, 234.83it/s]
62%|βββββββ | 936/1517 [00:06<00:02, 222.90it/s]
63%|βββββββ | 961/1517 [00:06<00:02, 223.00it/s]
65%|βββββββ | 984/1517 [00:06<00:02, 218.16it/s]
66%|βββββββ | 1006/1517 [00:06<00:02, 217.97it/s]
68%|βββββββ | 1028/1517 [00:06<00:02, 205.67it/s]
69%|βββββββ | 1049/1517 [00:06<00:02, 201.14it/s]
71%|βββββββ | 1072/1517 [00:06<00:02, 207.58it/s]
72%|ββββββββ | 1093/1517 [00:06<00:02, 205.74it/s]
74%|ββββββββ | 1115/1517 [00:07<00:01, 206.02it/s]
75%|ββββββββ | 1140/1517 [00:07<00:01, 217.01it/s]
77%|ββββββββ | 1171/1517 [00:07<00:01, 242.09it/s]
79%|ββββββββ | 1196/1517 [00:07<00:01, 228.88it/s]
81%|ββββββββ | 1222/1517 [00:07<00:01, 236.15it/s]
83%|βββββββββ | 1255/1517 [00:07<00:01, 260.86it/s]
85%|βββββββββ | 1285/1517 [00:07<00:00, 269.75it/s]
87%|βββββββββ | 1313/1517 [00:07<00:00, 269.49it/s]
88%|βββββββββ | 1341/1517 [00:07<00:00, 241.40it/s]
90%|βββββββββ | 1366/1517 [00:09<00:02, 58.07it/s]
91%|βββββββββ | 1384/1517 [00:09<00:01, 67.32it/s]
93%|ββββββββββ| 1411/1517 [00:09<00:01, 88.62it/s]
95%|ββββββββββ| 1440/1517 [00:09<00:00, 113.86it/s]
96%|ββββββββββ| 1463/1517 [00:09<00:00, 129.20it/s]
98%|ββββββββββ| 1485/1517 [00:09<00:00, 144.65it/s]
100%|ββββββββββ| 1511/1517 [00:09<00:00, 164.65it/s]
100%|ββββββββββ| 1517/1517 [00:09<00:00, 154.22it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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