| 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 123540 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_023/trajectory/00_traj_1358.0.json.gz |
| Loading a file takes 50.46s |
| Creating data frames takes 24.03s |
| Filling data types and values takes 10.41s |
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| Processing a file takes 18.15s |
| Concatenating time series takes 0.51s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_023/trajectory/01_traj_2221.0.json.gz |
| Loading a file takes 49.68s |
| Creating data frames takes 29.16s |
| Filling data types and values takes 5.01s |
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| Processing a file takes 16.91s |
| Concatenating time series takes 0.25s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_023/trajectory/02_traj_3033.0.json.gz |
| Loading a file takes 50.96s |
| Creating data frames takes 41.25s |
| Filling data types and values takes 5.19s |
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|
| Processing a file takes 16.62s |
| Concatenating time series takes 0.35s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_023/trajectory/03_traj_3816.0.json.gz |
| Loading a file takes 49.51s |
| Creating data frames takes 29.23s |
| Filling data types and values takes 5.82s |
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| Processing a file takes 18.48s |
| Concatenating time series takes 0.40s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_023/trajectory/04_traj_4600.5.json.gz |
| Loading a file takes 61.37s |
| Creating data frames takes 31.04s |
| Filling data types and values takes 6.36s |
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|
| Processing a file takes 19.33s |
| Concatenating time series takes 0.45s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_023/trajectory/05_traj_5373.5.json.gz |
| Loading a file takes 58.45s |
| Creating data frames takes 29.47s |
| Filling data types and values takes 6.23s |
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|
| Processing a file takes 28.63s |
| Concatenating time series takes 0.57s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_023/trajectory/06_traj_6132.0.json.gz |
| Loading a file takes 62.10s |
| Creating data frames takes 29.06s |
| Filling data types and values takes 6.05s |
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|
| Processing a file takes 27.55s |
| Concatenating time series takes 0.60s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_023/trajectory/07_traj_6884.5.json.gz |
| Loading a file takes 63.27s |
| Creating data frames takes 28.39s |
| Filling data types and values takes 6.12s |
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|
| Processing a file takes 33.73s |
| Concatenating time series takes 0.54s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_023/trajectory/08_traj_8815.5.json.gz |
| Loading a file takes 63.22s |
| Creating data frames takes 32.82s |
| Filling data types and values takes 6.76s |
|
|
| Processing a file takes 23.47s |
| Concatenating time series takes 0.48s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_023/trajectory/09_traj_end.json.gz |
| Loading a file takes 19.88s |
| Creating data frames takes 6.77s |
| Filling data types and values takes 1.28s |
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|
| Processing a file takes 6.87s |
| Concatenating time series takes 0.16s |
| Saving all the section time series takes 81.87s |
| Saving all the junction time series takes 11.34s |
| 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<08:40, 2.92it/s]
0%| | 6/1520 [00:00<01:31, 16.63it/s]
2%|β | 30/1520 [00:00<00:18, 82.29it/s]
4%|β | 63/1520 [00:00<00:09, 151.15it/s]
6%|β | 97/1520 [00:00<00:06, 205.45it/s]
8%|β | 129/1520 [00:00<00:06, 224.35it/s]
10%|β | 155/1520 [00:00<00:05, 230.21it/s]
12%|ββ | 180/1520 [00:01<00:05, 226.64it/s]
14%|ββ | 207/1520 [00:01<00:05, 238.55it/s]
15%|ββ | 232/1520 [00:01<00:05, 228.82it/s]
17%|ββ | 259/1520 [00:01<00:05, 239.13it/s]
19%|ββ | 284/1520 [00:01<00:05, 218.13it/s]
20%|ββ | 310/1520 [00:01<00:05, 222.69it/s]
22%|βββ | 333/1520 [00:02<00:17, 68.03it/s]
25%|βββ | 374/1520 [00:02<00:11, 103.13it/s]
27%|βββ | 405/1520 [00:02<00:08, 129.38it/s]
28%|βββ | 431/1520 [00:02<00:07, 146.02it/s]
30%|βββ | 456/1520 [00:03<00:06, 155.77it/s]
32%|ββββ | 479/1520 [00:03<00:06, 167.75it/s]
33%|ββββ | 502/1520 [00:03<00:05, 173.75it/s]
34%|ββββ | 524/1520 [00:03<00:05, 179.03it/s]
36%|ββββ | 545/1520 [00:03<00:05, 179.56it/s]
37%|ββββ | 566/1520 [00:03<00:05, 169.03it/s]
38%|ββββ | 585/1520 [00:03<00:05, 173.54it/s]
40%|ββββ | 609/1520 [00:03<00:04, 188.50it/s]
41%|βββββ | 629/1520 [00:03<00:04, 190.79it/s]
43%|βββββ | 654/1520 [00:04<00:04, 203.91it/s]
44%|βββββ | 676/1520 [00:04<00:04, 207.86it/s]
46%|βββββ | 698/1520 [00:04<00:03, 210.00it/s]
48%|βββββ | 722/1520 [00:04<00:03, 217.68it/s]
49%|βββββ | 745/1520 [00:04<00:03, 210.66it/s]
50%|βββββ | 767/1520 [00:04<00:03, 198.66it/s]
52%|ββββββ | 788/1520 [00:04<00:03, 197.49it/s]
53%|ββββββ | 808/1520 [00:04<00:03, 197.65it/s]
55%|ββββββ | 835/1520 [00:04<00:03, 214.92it/s]
57%|ββββββ | 865/1520 [00:05<00:02, 235.20it/s]
59%|ββββββ | 890/1520 [00:05<00:02, 229.85it/s]
60%|ββββββ | 916/1520 [00:05<00:02, 234.68it/s]
62%|βββββββ | 940/1520 [00:05<00:02, 218.63it/s]
64%|βββββββ | 978/1520 [00:05<00:02, 261.60it/s]
66%|βββββββ | 1005/1520 [00:05<00:01, 257.90it/s]
68%|βββββββ | 1032/1520 [00:05<00:01, 254.46it/s]
70%|βββββββ | 1058/1520 [00:05<00:01, 252.50it/s]
71%|ββββββββ | 1084/1520 [00:05<00:01, 252.09it/s]
73%|ββββββββ | 1110/1520 [00:06<00:01, 243.53it/s]
75%|ββββββββ | 1135/1520 [00:06<00:01, 238.70it/s]
77%|ββββββββ | 1168/1520 [00:06<00:01, 259.91it/s]
79%|ββββββββ | 1198/1520 [00:06<00:01, 258.38it/s]
81%|ββββββββ | 1230/1520 [00:06<00:01, 271.99it/s]
83%|βββββββββ | 1258/1520 [00:06<00:00, 270.95it/s]
85%|βββββββββ | 1288/1520 [00:06<00:00, 277.57it/s]
87%|βββββββββ | 1316/1520 [00:06<00:00, 254.09it/s]
88%|βββββββββ | 1342/1520 [00:06<00:00, 238.86it/s]
90%|βββββββββ | 1367/1520 [00:08<00:02, 61.40it/s]
92%|ββββββββββ| 1394/1520 [00:08<00:01, 79.47it/s]
93%|ββββββββββ| 1415/1520 [00:08<00:01, 92.78it/s]
94%|ββββββββββ| 1436/1520 [00:08<00:00, 107.68it/s]
96%|ββββββββββ| 1456/1520 [00:08<00:00, 119.84it/s]
97%|ββββββββββ| 1477/1520 [00:08<00:00, 136.23it/s]
99%|ββββββββββ| 1509/1520 [00:08<00:00, 174.04it/s]
100%|ββββββββββ| 1520/1520 [00:08<00:00, 172.70it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_023/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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