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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 130963 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/00_traj_1316.5.json.gz
Loading a file takes 52.37s
Creating data frames takes 22.79s
Filling data types and values takes 5.78s

 Processing a file takes 18.00s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/01_traj_2135.5.json.gz
Loading a file takes 56.21s
Creating data frames takes 22.28s
Filling data types and values takes 5.65s

 Processing a file takes 17.62s
Concatenating time series takes 0.25s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/02_traj_2924.0.json.gz
Loading a file takes 55.35s
Creating data frames takes 20.52s
Filling data types and values takes 5.68s

 Processing a file takes 17.53s
Concatenating time series takes 0.32s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/03_traj_3696.5.json.gz
Loading a file takes 52.62s
Creating data frames takes 26.44s
Filling data types and values takes 5.69s

 Processing a file takes 18.17s
Concatenating time series takes 0.32s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/04_traj_4452.0.json.gz
Loading a file takes 55.78s
Creating data frames takes 23.57s
Filling data types and values takes 5.71s

 Processing a file takes 18.55s
Concatenating time series takes 0.51s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/05_traj_5182.5.json.gz
Loading a file takes 57.24s
Creating data frames takes 29.58s
Filling data types and values takes 5.89s

 Processing a file takes 28.50s
Concatenating time series takes 0.63s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/06_traj_5929.0.json.gz
Loading a file takes 70.18s
Creating data frames takes 27.10s
Filling data types and values takes 5.58s

 Processing a file takes 18.80s
Concatenating time series takes 0.78s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/07_traj_6676.5.json.gz
Loading a file takes 54.71s
Creating data frames takes 19.74s
Filling data types and values takes 5.50s

 Processing a file takes 18.00s
Concatenating time series takes 0.63s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/08_traj_7617.5.json.gz
Loading a file takes 52.39s
Creating data frames takes 20.13s
Filling data types and values takes 5.71s

 Processing a file takes 20.17s
Concatenating time series takes 0.68s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/trajectory/09_traj_end.json.gz
Loading a file takes 5.14s
Creating data frames takes 0.97s
Filling data types and values takes 0.14s

 Processing a file takes 7.23s
Concatenating time series takes 0.28s
Saving all the section time series takes 84.33s
Saving all the junction time series takes 12.24s
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<12:21,  2.05it/s]
  0%|          | 4/1517 [00:01<09:58,  2.53it/s]
 19%|β–ˆβ–Š        | 281/1517 [00:02<00:08, 143.55it/s]
 20%|β–ˆβ–ˆ        | 309/1517 [00:02<00:07, 151.80it/s]
 23%|β–ˆβ–ˆβ–Ž       | 346/1517 [00:02<00:06, 170.70it/s]
 26%|β–ˆβ–ˆβ–Œ       | 387/1517 [00:02<00:05, 196.94it/s]
 28%|β–ˆβ–ˆβ–Š       | 418/1517 [00:02<00:05, 206.97it/s]
 30%|β–ˆβ–ˆβ–‰       | 449/1517 [00:03<00:04, 223.08it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 479/1517 [00:03<00:04, 216.29it/s]
 33%|β–ˆβ–ˆβ–ˆβ–Ž      | 506/1517 [00:03<00:04, 213.16it/s]
 35%|β–ˆβ–ˆβ–ˆβ–Œ      | 531/1517 [00:03<00:04, 206.89it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 554/1517 [00:03<00:04, 195.87it/s]
 38%|β–ˆβ–ˆβ–ˆβ–Š      | 575/1517 [00:03<00:04, 190.13it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 595/1517 [00:03<00:04, 190.47it/s]
 41%|β–ˆβ–ˆβ–ˆβ–ˆ      | 615/1517 [00:03<00:04, 189.91it/s]
 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 645/1517 [00:04<00:03, 218.36it/s]
 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 673/1517 [00:04<00:03, 229.78it/s]
 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ     | 697/1517 [00:04<00:03, 211.72it/s]
 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹     | 719/1517 [00:04<00:03, 208.40it/s]
 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 741/1517 [00:04<00:03, 205.63it/s]
 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ     | 762/1517 [00:04<00:03, 202.56it/s]
 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 783/1517 [00:04<00:03, 198.93it/s]
 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 810/1517 [00:04<00:03, 215.46it/s]
 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 832/1517 [00:04<00:03, 212.64it/s]
 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 854/1517 [00:05<00:03, 211.01it/s]
 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 879/1517 [00:05<00:02, 220.39it/s]
 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 902/1517 [00:05<00:02, 213.64it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 924/1517 [00:05<00:02, 211.45it/s]
 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 950/1517 [00:05<00:02, 224.59it/s]
 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 975/1517 [00:05<00:02, 231.48it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 1001/1517 [00:05<00:02, 239.70it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1026/1517 [00:05<00:02, 214.20it/s]
 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 1050/1517 [00:05<00:02, 217.10it/s]
 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 1076/1517 [00:06<00:01, 227.87it/s]
 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 1100/1517 [00:06<00:01, 226.02it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1123/1517 [00:06<00:01, 220.08it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 1152/1517 [00:06<00:01, 237.12it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 1180/1517 [00:06<00:01, 247.76it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 1205/1517 [00:06<00:01, 239.84it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1239/1517 [00:06<00:01, 267.69it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1267/1517 [00:06<00:00, 265.98it/s]
 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1296/1517 [00:06<00:00, 272.80it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1324/1517 [00:07<00:00, 259.10it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1351/1517 [00:07<00:02, 78.96it/s] 
 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1371/1517 [00:08<00:01, 91.67it/s]
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1396/1517 [00:08<00:01, 112.61it/s]
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1417/1517 [00:08<00:00, 126.40it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1443/1517 [00:08<00:00, 150.49it/s]
 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1466/1517 [00:08<00:00, 165.12it/s]
 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1488/1517 [00:08<00:00, 175.33it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1517/1517 [00:08<00:00, 176.03it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_031/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...