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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 133633 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/00_traj_1327.0.json.gz
Loading a file takes 56.53s
Creating data frames takes 31.58s
Filling data types and values takes 5.98s

 Processing a file takes 18.71s
Concatenating time series takes 0.43s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/01_traj_2096.0.json.gz
Loading a file takes 55.78s
Creating data frames takes 22.65s
Filling data types and values takes 6.26s

 Processing a file takes 18.12s
Concatenating time series takes 0.27s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/02_traj_2839.0.json.gz
Loading a file takes 53.95s
Creating data frames takes 20.32s
Filling data types and values takes 5.71s

 Processing a file takes 16.87s
Concatenating time series takes 0.33s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/03_traj_3544.0.json.gz
Loading a file takes 49.45s
Creating data frames takes 26.80s
Filling data types and values takes 5.20s

 Processing a file takes 15.95s
Concatenating time series takes 0.33s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/04_traj_4219.5.json.gz
Loading a file takes 48.80s
Creating data frames takes 20.45s
Filling data types and values takes 5.30s

 Processing a file takes 16.54s
Concatenating time series takes 0.40s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/05_traj_4911.5.json.gz
Loading a file takes 46.42s
Creating data frames takes 19.62s
Filling data types and values takes 5.69s

 Processing a file takes 25.90s
Concatenating time series takes 0.37s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/06_traj_5598.0.json.gz
Loading a file takes 52.79s
Creating data frames takes 21.96s
Filling data types and values takes 5.50s

 Processing a file takes 25.97s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/07_traj_6263.0.json.gz
Loading a file takes 59.76s
Creating data frames takes 25.20s
Filling data types and values takes 5.79s

 Processing a file takes 18.82s
Concatenating time series takes 0.71s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/08_traj_6897.5.json.gz
Loading a file takes 60.56s
Creating data frames takes 25.92s
Filling data types and values takes 5.88s

 Processing a file takes 18.52s
Concatenating time series takes 0.45s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/09_traj_7746.0.json.gz
Loading a file takes 56.50s
Creating data frames takes 22.38s
Filling data types and values takes 5.80s

 Processing a file takes 18.62s
Concatenating time series takes 0.73s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/10_traj_end.json.gz
Loading a file takes 37.27s
Creating data frames takes 13.30s
Filling data types and values takes 3.68s

 Processing a file takes 11.39s
Concatenating time series takes 0.23s
Saving all the section time series takes 83.79s
Saving all the junction time series takes 11.68s
Saving network entrance and exit takes 0.08s
Aggregating the raw statistics to different intervals...

  0%|          | 0/1522 [00:00<?, ?it/s]
  0%|          | 1/1522 [00:00<15:02,  1.69it/s]
  2%|▏         | 30/1522 [00:00<00:26, 56.01it/s]
  3%|β–Ž         | 52/1522 [00:00<00:16, 89.87it/s]
  5%|▍         | 75/1522 [00:00<00:11, 121.46it/s]
  7%|β–‹         | 112/1522 [00:01<00:07, 177.14it/s]
  9%|β–‰         | 137/1522 [00:01<00:07, 187.86it/s]
 11%|β–ˆ         | 161/1522 [00:01<00:07, 190.05it/s]
 12%|β–ˆβ–        | 186/1522 [00:01<00:06, 201.17it/s]
 14%|β–ˆβ–Ž        | 209/1522 [00:01<00:06, 192.09it/s]
 16%|β–ˆβ–Œ        | 240/1522 [00:01<00:05, 222.12it/s]
 17%|β–ˆβ–‹        | 264/1522 [00:01<00:05, 215.29it/s]
 19%|β–ˆβ–‰        | 287/1522 [00:01<00:06, 184.23it/s]
 20%|β–ˆβ–ˆ        | 307/1522 [00:02<00:06, 183.46it/s]
 21%|β–ˆβ–ˆβ–       | 327/1522 [00:02<00:20, 57.93it/s] 
 23%|β–ˆβ–ˆβ–Ž       | 352/1522 [00:03<00:15, 76.28it/s]
 26%|β–ˆβ–ˆβ–Œ       | 396/1522 [00:03<00:09, 121.24it/s]
 28%|β–ˆβ–ˆβ–Š       | 424/1522 [00:03<00:07, 143.79it/s]
 30%|β–ˆβ–ˆβ–‰       | 451/1522 [00:03<00:06, 164.60it/s]
 31%|β–ˆβ–ˆβ–ˆβ–      | 477/1522 [00:03<00:06, 172.89it/s]
 33%|β–ˆβ–ˆβ–ˆβ–Ž      | 501/1522 [00:03<00:05, 180.51it/s]
 34%|β–ˆβ–ˆβ–ˆβ–      | 524/1522 [00:03<00:05, 180.94it/s]
 36%|β–ˆβ–ˆβ–ˆβ–Œ      | 546/1522 [00:03<00:05, 186.78it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 568/1522 [00:04<00:05, 175.25it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 590/1522 [00:04<00:05, 176.29it/s]
 40%|β–ˆβ–ˆβ–ˆβ–ˆ      | 611/1522 [00:04<00:04, 184.41it/s]
 42%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 635/1522 [00:04<00:04, 197.57it/s]
 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 659/1522 [00:04<00:04, 208.37it/s]
 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 682/1522 [00:04<00:03, 210.91it/s]
 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹     | 709/1522 [00:04<00:03, 224.87it/s]
 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š     | 732/1522 [00:04<00:03, 220.49it/s]
 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 755/1522 [00:04<00:03, 206.67it/s]
 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 782/1522 [00:05<00:03, 214.81it/s]
 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 804/1522 [00:05<00:03, 211.27it/s]
 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 826/1522 [00:05<00:03, 205.94it/s]
 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 847/1522 [00:05<00:03, 204.26it/s]
 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 868/1522 [00:05<00:03, 204.96it/s]
 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 891/1522 [00:05<00:02, 211.91it/s]
 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 913/1522 [00:05<00:02, 211.47it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 935/1522 [00:05<00:02, 211.80it/s]
 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 961/1522 [00:05<00:02, 224.78it/s]
 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 987/1522 [00:05<00:02, 228.32it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 1010/1522 [00:06<00:02, 224.67it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1033/1522 [00:06<00:02, 220.04it/s]
 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 1062/1522 [00:06<00:01, 233.14it/s]
 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1090/1522 [00:06<00:01, 241.00it/s]
 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 1115/1522 [00:06<00:01, 240.80it/s]
 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1140/1522 [00:06<00:01, 218.23it/s]
 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 1166/1522 [00:06<00:01, 228.54it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 1191/1522 [00:06<00:01, 230.99it/s]
 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 1215/1522 [00:06<00:01, 226.87it/s]
 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1240/1522 [00:07<00:01, 224.04it/s]
 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1270/1522 [00:07<00:01, 236.18it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1304/1522 [00:07<00:00, 254.54it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1330/1522 [00:07<00:00, 241.24it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1355/1522 [00:07<00:00, 240.39it/s]
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1380/1522 [00:08<00:01, 71.89it/s] 
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1401/1522 [00:08<00:01, 85.00it/s]
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1423/1522 [00:08<00:00, 101.90it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1443/1522 [00:08<00:00, 116.10it/s]
 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1462/1522 [00:08<00:00, 126.14it/s]
 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1484/1522 [00:09<00:00, 144.18it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1522/1522 [00:09<00:00, 166.37it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...