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 120340 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_005/trajectory/00_traj_1349.5.json.gz
Loading a file takes 50.64s
Creating data frames takes 18.33s
Filling data types and values takes 4.97s

 Processing a file takes 18.67s
Concatenating time series takes 0.43s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_005/trajectory/01_traj_2266.5.json.gz
Loading a file takes 57.22s
Creating data frames takes 20.96s
Filling data types and values takes 5.36s

 Processing a file takes 17.72s
Concatenating time series takes 0.31s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_005/trajectory/02_traj_3158.0.json.gz
Loading a file takes 56.39s
Creating data frames takes 20.91s
Filling data types and values takes 5.33s

 Processing a file takes 18.36s
Concatenating time series takes 0.34s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_005/trajectory/03_traj_4021.5.json.gz
Loading a file takes 53.67s
Creating data frames takes 20.75s
Filling data types and values takes 5.50s

 Processing a file takes 17.95s
Concatenating time series takes 0.40s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_005/trajectory/04_traj_4865.0.json.gz
Loading a file takes 56.26s
Creating data frames takes 19.79s
Filling data types and values takes 5.11s

 Processing a file takes 16.80s
Concatenating time series takes 0.51s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_005/trajectory/05_traj_5693.5.json.gz
Loading a file takes 50.94s
Creating data frames takes 18.08s
Filling data types and values takes 4.82s

 Processing a file takes 36.93s
Concatenating time series takes 0.43s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_005/trajectory/06_traj_6492.0.json.gz
Loading a file takes 69.06s
Creating data frames takes 22.42s
Filling data types and values takes 5.44s

 Processing a file takes 17.93s
Concatenating time series takes 0.68s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_005/trajectory/07_traj_7290.5.json.gz
Loading a file takes 54.82s
Creating data frames takes 22.09s
Filling data types and values takes 5.29s

 Processing a file takes 18.19s
Concatenating time series takes 0.66s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_005/trajectory/08_traj_end.json.gz
Loading a file takes 29.11s
Creating data frames takes 11.32s
Filling data types and values takes 2.56s

 Processing a file takes 13.83s
Concatenating time series takes 0.38s
Saving all the section time series takes 79.97s
Saving all the junction time series takes 11.18s
Saving network entrance and exit takes 0.08s
Aggregating the raw statistics to different intervals...

  0%|          | 0/1521 [00:00<?, ?it/s]
  0%|          | 1/1521 [00:00<10:16,  2.46it/s]
  1%|          | 8/1521 [00:00<01:22, 18.40it/s]
  3%|▎         | 41/1521 [00:00<00:15, 95.94it/s]
  4%|▍         | 67/1521 [00:00<00:10, 137.77it/s]
  6%|▌         | 88/1521 [00:00<00:09, 154.26it/s]
  7%|▋         | 112/1521 [00:00<00:08, 175.47it/s]
  9%|▊         | 133/1521 [00:01<00:09, 147.71it/s]
 10%|▉         | 151/1521 [00:01<00:09, 143.68it/s]
 11%|█         | 171/1521 [00:01<00:08, 157.12it/s]
 13%|█▎        | 193/1521 [00:01<00:07, 171.14it/s]
 14%|█▍        | 217/1521 [00:01<00:06, 189.43it/s]
 16%|█▌        | 244/1521 [00:01<00:06, 205.18it/s]
 18%|█▊        | 268/1521 [00:01<00:05, 212.58it/s]
 19%|█▉        | 293/1521 [00:01<00:05, 212.07it/s]
 21%|██        | 320/1521 [00:03<00:20, 58.75it/s] 
 23%|██▎       | 352/1521 [00:03<00:14, 82.31it/s]
 26%|██▌       | 396/1521 [00:03<00:09, 121.30it/s]
 28%|██▊       | 424/1521 [00:03<00:07, 143.08it/s]
 30%|██▉       | 450/1521 [00:03<00:06, 160.09it/s]
 31%|███▏      | 476/1521 [00:03<00:06, 173.40it/s]
 33%|███▎      | 501/1521 [00:03<00:05, 176.25it/s]
 34%|███▍      | 524/1521 [00:03<00:05, 186.06it/s]
 36%|███▌      | 547/1521 [00:03<00:05, 188.14it/s]
 37%|███▋      | 569/1521 [00:04<00:05, 181.85it/s]
 39%|███▉      | 590/1521 [00:04<00:05, 185.80it/s]
 40%|████      | 610/1521 [00:04<00:05, 179.18it/s]
 42%|████▏     | 636/1521 [00:04<00:04, 199.54it/s]
 43%|████▎     | 657/1521 [00:04<00:04, 202.28it/s]
 45%|████▌     | 685/1521 [00:04<00:03, 221.71it/s]
 47%|████▋     | 708/1521 [00:04<00:03, 220.75it/s]
 48%|████▊     | 731/1521 [00:04<00:03, 220.62it/s]
 50%|████▉     | 754/1521 [00:04<00:03, 214.02it/s]
 51%|█████     | 776/1521 [00:05<00:03, 208.89it/s]
 52%|█████▏    | 798/1521 [00:05<00:03, 207.10it/s]
 55%|█████▍    | 830/1521 [00:05<00:02, 237.93it/s]
 56%|█████▋    | 857/1521 [00:05<00:02, 245.21it/s]
 58%|█████▊    | 888/1521 [00:05<00:02, 263.01it/s]
 60%|██████    | 915/1521 [00:05<00:02, 226.96it/s]
 62%|██████▏   | 941/1521 [00:05<00:02, 234.36it/s]
 64%|██████▍   | 971/1521 [00:05<00:02, 250.78it/s]
 66%|██████▌   | 997/1521 [00:05<00:02, 252.33it/s]
 67%|██████▋   | 1023/1521 [00:06<00:02, 232.16it/s]
 69%|██████▉   | 1051/1521 [00:06<00:02, 231.50it/s]
 71%|███████   | 1082/1521 [00:06<00:01, 246.14it/s]
 73%|███████▎  | 1107/1521 [00:06<00:01, 241.47it/s]
 74%|███████▍  | 1132/1521 [00:06<00:01, 239.00it/s]
 76%|███████▋  | 1162/1521 [00:06<00:01, 253.37it/s]
 78%|███████▊  | 1190/1521 [00:06<00:01, 257.28it/s]
 80%|███████▉  | 1216/1521 [00:06<00:01, 250.95it/s]
 82%|████████▏ | 1246/1521 [00:06<00:01, 258.17it/s]
 84%|████████▍ | 1281/1521 [00:07<00:00, 281.86it/s]
 86%|████████▌ | 1310/1521 [00:07<00:00, 269.10it/s]
 88%|████████▊ | 1338/1521 [00:07<00:00, 259.34it/s]
 90%|████████▉ | 1365/1521 [00:08<00:02, 74.67it/s] 
 91%|█████████▏| 1388/1521 [00:08<00:01, 89.08it/s]
 93%|█████████▎| 1415/1521 [00:08<00:00, 110.07it/s]
 95%|█████████▍| 1439/1521 [00:08<00:00, 128.79it/s]
 96%|█████████▌| 1461/1521 [00:08<00:00, 139.03it/s]
 98%|█████████▊| 1487/1521 [00:08<00:00, 162.25it/s]
100%|██████████| 1521/1521 [00:08<00:00, 170.02it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_005/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...