| 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 138083 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_033/trajectory/00_traj_1326.0.json.gz |
| Loading a file takes 52.62s |
| Creating data frames takes 19.30s |
| Filling data types and values takes 5.82s |
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| Processing a file takes 17.86s |
| Concatenating time series takes 0.42s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_033/trajectory/01_traj_2110.5.json.gz |
| Loading a file takes 57.64s |
| Creating data frames takes 23.71s |
| Filling data types and values takes 5.92s |
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| Processing a file takes 17.08s |
| Concatenating time series takes 0.29s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_033/trajectory/02_traj_2853.0.json.gz |
| Loading a file takes 58.14s |
| Creating data frames takes 21.73s |
| Filling data types and values takes 5.88s |
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|
| Processing a file takes 17.08s |
| Concatenating time series takes 0.39s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_033/trajectory/03_traj_3590.5.json.gz |
| Loading a file takes 50.76s |
| Creating data frames takes 22.15s |
| Filling data types and values takes 5.79s |
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| Processing a file takes 17.40s |
| Concatenating time series takes 0.35s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_033/trajectory/04_traj_4325.0.json.gz |
| Loading a file takes 54.36s |
| Creating data frames takes 20.85s |
| Filling data types and values takes 5.55s |
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|
| Processing a file takes 17.30s |
| Concatenating time series takes 0.64s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_033/trajectory/05_traj_5044.0.json.gz |
| Loading a file takes 51.06s |
| Creating data frames takes 21.78s |
| Filling data types and values takes 5.54s |
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|
| Processing a file takes 30.63s |
| Concatenating time series takes 0.58s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_033/trajectory/06_traj_5752.5.json.gz |
| Loading a file takes 60.39s |
| Creating data frames takes 21.82s |
| Filling data types and values takes 5.79s |
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|
| Processing a file takes 18.81s |
| Concatenating time series takes 0.70s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_033/trajectory/07_traj_6445.5.json.gz |
| Loading a file takes 57.11s |
| Creating data frames takes 20.93s |
| Filling data types and values takes 5.91s |
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|
| Processing a file takes 18.31s |
| Concatenating time series takes 0.67s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_033/trajectory/08_traj_7149.5.json.gz |
| Loading a file takes 55.33s |
| Creating data frames takes 20.09s |
| Filling data types and values takes 5.68s |
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|
| Processing a file takes 18.08s |
| Concatenating time series takes 0.47s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_033/trajectory/09_traj_end.json.gz |
| Loading a file takes 30.10s |
| Creating data frames takes 9.11s |
| Filling data types and values takes 2.55s |
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|
| Processing a file takes 14.55s |
| Concatenating time series takes 0.59s |
| Saving all the section time series takes 82.33s |
| Saving all the junction time series takes 12.10s |
| Saving network entrance and exit takes 0.10s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1516 [00:00<?, ?it/s]
0%| | 1/1516 [00:00<12:25, 2.03it/s]
0%| | 7/1516 [00:00<02:32, 9.89it/s]
8%|β | 118/1516 [00:00<00:06, 201.43it/s]
11%|β | 170/1516 [00:01<00:07, 190.71it/s]
14%|ββ | 208/1516 [00:01<00:06, 198.91it/s]
16%|ββ | 241/1516 [00:01<00:05, 219.10it/s]
18%|ββ | 273/1516 [00:01<00:05, 226.49it/s]
20%|ββ | 303/1516 [00:01<00:05, 240.35it/s]
22%|βββ | 333/1516 [00:02<00:15, 76.53it/s]
25%|βββ | 378/1516 [00:02<00:10, 110.11it/s]
27%|βββ | 410/1516 [00:03<00:08, 133.30it/s]
29%|βββ | 439/1516 [00:03<00:07, 153.18it/s]
31%|βββ | 468/1516 [00:03<00:06, 161.53it/s]
33%|ββββ | 494/1516 [00:03<00:06, 158.57it/s]
34%|ββββ | 517/1516 [00:03<00:06, 163.89it/s]
36%|ββββ | 539/1516 [00:03<00:05, 166.44it/s]
37%|ββββ | 559/1516 [00:03<00:05, 165.03it/s]
38%|ββββ | 582/1516 [00:03<00:05, 176.65it/s]
40%|ββββ | 602/1516 [00:04<00:05, 174.10it/s]
41%|βββββ | 626/1516 [00:04<00:04, 189.82it/s]
43%|βββββ | 649/1516 [00:04<00:04, 199.87it/s]
44%|βββββ | 672/1516 [00:04<00:04, 207.02it/s]
46%|βββββ | 695/1516 [00:04<00:03, 209.83it/s]
47%|βββββ | 719/1516 [00:04<00:03, 217.67it/s]
49%|βββββ | 742/1516 [00:04<00:03, 217.55it/s]
50%|βββββ | 765/1516 [00:04<00:03, 200.19it/s]
52%|ββββββ | 786/1516 [00:04<00:03, 188.45it/s]
53%|ββββββ | 809/1516 [00:05<00:03, 194.16it/s]
55%|ββββββ | 835/1516 [00:05<00:03, 211.27it/s]
57%|ββββββ | 860/1516 [00:05<00:03, 217.20it/s]
59%|ββββββ | 888/1516 [00:05<00:02, 230.59it/s]
60%|ββββββ | 912/1516 [00:05<00:02, 229.26it/s]
62%|βββββββ | 936/1516 [00:05<00:02, 227.65it/s]
64%|βββββββ | 966/1516 [00:05<00:02, 247.58it/s]
65%|βββββββ | 991/1516 [00:05<00:02, 240.96it/s]
67%|βββββββ | 1016/1516 [00:05<00:02, 241.26it/s]
69%|βββββββ | 1041/1516 [00:06<00:02, 236.06it/s]
70%|βββββββ | 1065/1516 [00:06<00:01, 228.90it/s]
72%|ββββββββ | 1092/1516 [00:06<00:01, 235.68it/s]
74%|ββββββββ | 1116/1516 [00:06<00:01, 233.99it/s]
75%|ββββββββ | 1143/1516 [00:06<00:01, 242.59it/s]
77%|ββββββββ | 1168/1516 [00:06<00:01, 243.77it/s]
79%|ββββββββ | 1194/1516 [00:06<00:01, 247.23it/s]
80%|ββββββββ | 1219/1516 [00:06<00:01, 244.28it/s]
82%|βββββββββ | 1250/1516 [00:06<00:01, 260.76it/s]
85%|βββββββββ | 1282/1516 [00:06<00:00, 275.43it/s]
86%|βββββββββ | 1310/1516 [00:07<00:00, 272.89it/s]
88%|βββββββββ | 1338/1516 [00:07<00:00, 249.77it/s]
90%|βββββββββ | 1364/1516 [00:08<00:02, 69.13it/s]
91%|ββββββββββ| 1385/1516 [00:08<00:01, 82.11it/s]
93%|ββββββββββ| 1411/1516 [00:08<00:01, 103.08it/s]
95%|ββββββββββ| 1434/1516 [00:08<00:00, 119.44it/s]
96%|ββββββββββ| 1459/1516 [00:08<00:00, 140.22it/s]
98%|ββββββββββ| 1486/1516 [00:08<00:00, 161.61it/s]
100%|ββββββββββ| 1516/1516 [00:08<00:00, 170.27it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_033/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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