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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 138891 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/00_traj_1314.5.json.gz
Loading a file takes 51.86s
Creating data frames takes 19.52s
Filling data types and values takes 5.86s

 Processing a file takes 17.93s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/01_traj_2046.0.json.gz
Loading a file takes 56.01s
Creating data frames takes 24.52s
Filling data types and values takes 5.75s

 Processing a file takes 16.82s
Concatenating time series takes 0.28s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/02_traj_2729.5.json.gz
Loading a file takes 54.54s
Creating data frames takes 20.22s
Filling data types and values takes 5.81s

 Processing a file takes 16.42s
Concatenating time series takes 0.27s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/03_traj_3424.0.json.gz
Loading a file takes 51.42s
Creating data frames takes 50.83s
Filling data types and values takes 6.22s

 Processing a file takes 20.60s
Concatenating time series takes 0.79s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/04_traj_4110.0.json.gz
Loading a file takes 56.54s
Creating data frames takes 24.53s
Filling data types and values takes 6.45s

 Processing a file takes 20.19s
Concatenating time series takes 0.53s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/05_traj_4793.5.json.gz
Loading a file takes 56.56s
Creating data frames takes 26.72s
Filling data types and values takes 6.37s

 Processing a file takes 19.24s
Concatenating time series takes 0.55s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/06_traj_5455.5.json.gz
Loading a file takes 60.95s
Creating data frames takes 24.34s
Filling data types and values takes 6.18s

 Processing a file takes 19.16s
Concatenating time series takes 0.64s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/07_traj_6114.0.json.gz
Loading a file takes 60.25s
Creating data frames takes 24.57s
Filling data types and values takes 6.28s

 Processing a file takes 19.60s
Concatenating time series takes 0.59s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/08_traj_6795.5.json.gz
Loading a file takes 61.05s
Creating data frames takes 27.27s
Filling data types and values takes 7.22s

 Processing a file takes 19.96s
Concatenating time series takes 0.56s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/09_traj_7841.0.json.gz
Loading a file takes 62.91s
Creating data frames takes 21.67s
Filling data types and values takes 6.22s

 Processing a file takes 20.45s
Concatenating time series takes 0.65s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/10_traj_end.json.gz
Loading a file takes 6.72s
Creating data frames takes 1.50s
Filling data types and values takes 0.20s

 Processing a file takes 6.00s
Concatenating time series takes 0.19s
Saving all the section time series takes 87.67s
Saving all the junction time series takes 13.05s
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<09:42,  2.60it/s]
  0%|          | 5/1517 [00:00<02:07, 11.83it/s]
  3%|β–Ž         | 44/1517 [00:00<00:13, 110.82it/s]
  5%|▍         | 72/1517 [00:00<00:09, 152.79it/s]
  7%|β–‹         | 104/1517 [00:00<00:07, 192.52it/s]
  9%|β–‰         | 140/1517 [00:00<00:05, 233.12it/s]
 11%|β–ˆ         | 167/1517 [00:01<00:05, 233.04it/s]
 13%|β–ˆβ–Ž        | 193/1517 [00:01<00:06, 208.98it/s]
 15%|β–ˆβ–        | 220/1517 [00:01<00:05, 222.52it/s]
 17%|β–ˆβ–‹        | 252/1517 [00:01<00:05, 245.63it/s]
 18%|β–ˆβ–Š        | 279/1517 [00:01<00:05, 246.10it/s]
 20%|β–ˆβ–ˆ        | 305/1517 [00:01<00:05, 236.10it/s]
 22%|β–ˆβ–ˆβ–       | 330/1517 [00:02<00:17, 67.58it/s] 
 23%|β–ˆβ–ˆβ–Ž       | 353/1517 [00:02<00:13, 83.36it/s]
 26%|β–ˆβ–ˆβ–Œ       | 394/1517 [00:02<00:09, 122.99it/s]
 28%|β–ˆβ–ˆβ–Š       | 420/1517 [00:03<00:08, 135.13it/s]
 29%|β–ˆβ–ˆβ–‰       | 444/1517 [00:03<00:07, 150.42it/s]
 31%|β–ˆβ–ˆβ–ˆ       | 467/1517 [00:03<00:06, 160.47it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 489/1517 [00:03<00:06, 166.07it/s]
 34%|β–ˆβ–ˆβ–ˆβ–Ž      | 510/1517 [00:03<00:05, 173.25it/s]
 35%|β–ˆβ–ˆβ–ˆβ–Œ      | 531/1517 [00:03<00:05, 167.31it/s]
 36%|β–ˆβ–ˆβ–ˆβ–‹      | 550/1517 [00:03<00:05, 162.81it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 568/1517 [00:03<00:06, 156.21it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 591/1517 [00:04<00:05, 165.89it/s]
 40%|β–ˆβ–ˆβ–ˆβ–ˆ      | 611/1517 [00:04<00:05, 172.49it/s]
 42%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 634/1517 [00:04<00:04, 184.19it/s]
 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 653/1517 [00:04<00:04, 183.15it/s]
 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 675/1517 [00:04<00:04, 179.51it/s]
 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ     | 700/1517 [00:04<00:04, 191.78it/s]
 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š     | 722/1517 [00:04<00:04, 196.46it/s]
 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 743/1517 [00:04<00:03, 196.62it/s]
 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ     | 763/1517 [00:04<00:03, 188.98it/s]
 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 783/1517 [00:05<00:04, 183.04it/s]
 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 806/1517 [00:05<00:03, 185.36it/s]
 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 826/1517 [00:05<00:03, 185.18it/s]
 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 849/1517 [00:05<00:03, 192.03it/s]
 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 874/1517 [00:05<00:03, 207.35it/s]
 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 895/1517 [00:05<00:03, 206.44it/s]
 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 916/1517 [00:05<00:02, 205.40it/s]
 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 937/1517 [00:05<00:02, 198.68it/s]
 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 964/1517 [00:05<00:02, 218.52it/s]
 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 990/1517 [00:05<00:02, 224.62it/s]
 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 1013/1517 [00:06<00:02, 212.62it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1035/1517 [00:06<00:02, 212.59it/s]
 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 1057/1517 [00:06<00:02, 209.30it/s]
 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1082/1517 [00:06<00:01, 220.49it/s]
 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 1106/1517 [00:06<00:01, 221.85it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1129/1517 [00:06<00:01, 221.32it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 1152/1517 [00:06<00:01, 212.66it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 1181/1517 [00:06<00:01, 234.18it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 1205/1517 [00:06<00:01, 215.37it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1239/1517 [00:07<00:01, 243.59it/s]
 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1264/1517 [00:07<00:01, 226.12it/s]
 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1291/1517 [00:07<00:00, 236.96it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1316/1517 [00:07<00:00, 235.45it/s]
 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1340/1517 [00:07<00:00, 219.55it/s]
 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1363/1517 [00:08<00:02, 55.98it/s] 
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1382/1517 [00:08<00:02, 67.27it/s]
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1408/1517 [00:08<00:01, 87.87it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1434/1517 [00:09<00:00, 109.59it/s]
 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1455/1517 [00:09<00:00, 125.56it/s]
 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1476/1517 [00:09<00:00, 140.95it/s]
 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 1499/1517 [00:09<00:00, 157.23it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1517/1517 [00:09<00:00, 160.97it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...