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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 124355 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/00_traj_1339.5.json.gz
Loading a file takes 51.95s
Creating data frames takes 23.88s
Filling data types and values takes 7.66s

 Processing a file takes 18.65s
Concatenating time series takes 0.60s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/01_traj_2224.0.json.gz
Loading a file takes 59.45s
Creating data frames takes 32.76s
Filling data types and values takes 6.01s

 Processing a file takes 18.93s
Concatenating time series takes 0.32s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/02_traj_3070.5.json.gz
Loading a file takes 58.17s
Creating data frames takes 34.17s
Filling data types and values takes 5.61s

 Processing a file takes 18.14s
Concatenating time series takes 0.37s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/03_traj_3893.5.json.gz
Loading a file takes 54.29s
Creating data frames takes 28.91s
Filling data types and values takes 5.51s

 Processing a file takes 17.99s
Concatenating time series takes 0.44s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/04_traj_4707.0.json.gz
Loading a file takes 57.19s
Creating data frames takes 30.42s
Filling data types and values takes 5.88s

 Processing a file takes 17.88s
Concatenating time series takes 0.49s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/05_traj_5494.5.json.gz
Loading a file takes 57.41s
Creating data frames takes 26.94s
Filling data types and values takes 6.19s

 Processing a file takes 31.28s
Concatenating time series takes 0.54s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/06_traj_6275.0.json.gz
Loading a file takes 65.83s
Creating data frames takes 28.58s
Filling data types and values takes 6.14s

 Processing a file takes 22.96s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/07_traj_7040.0.json.gz
Loading a file takes 63.69s
Creating data frames takes 30.36s
Filling data types and values takes 6.83s

 Processing a file takes 19.79s
Concatenating time series takes 0.71s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/08_traj_end.json.gz
Loading a file takes 56.01s
Creating data frames takes 26.65s
Filling data types and values takes 5.99s

 Processing a file takes 19.15s
Concatenating time series takes 0.46s
Saving all the section time series takes 77.78s
Saving all the junction time series takes 11.15s
Saving network entrance and exit takes 0.10s
Aggregating the raw statistics to different intervals...

  0%|          | 0/1522 [00:00<?, ?it/s]
  0%|          | 1/1522 [00:00<10:08,  2.50it/s]
  1%|▏         | 21/1522 [00:00<00:30, 49.32it/s]
  3%|β–Ž         | 48/1522 [00:00<00:14, 100.15it/s]
  5%|β–Œ         | 82/1522 [00:00<00:09, 153.58it/s]
  8%|β–Š         | 119/1522 [00:00<00:06, 202.87it/s]
  9%|β–‰         | 144/1522 [00:01<00:07, 194.58it/s]
 11%|β–ˆ         | 170/1522 [00:01<00:06, 205.21it/s]
 13%|β–ˆβ–Ž        | 193/1522 [00:01<00:06, 198.74it/s]
 15%|β–ˆβ–        | 221/1522 [00:01<00:06, 209.22it/s]
 16%|β–ˆβ–‹        | 249/1522 [00:01<00:05, 217.25it/s]
 18%|β–ˆβ–Š        | 273/1522 [00:01<00:05, 216.38it/s]
 20%|β–ˆβ–ˆ        | 309/1522 [00:01<00:05, 237.33it/s]
 22%|β–ˆβ–ˆβ–       | 334/1522 [00:02<00:15, 74.67it/s] 
 24%|β–ˆβ–ˆβ–       | 366/1522 [00:02<00:11, 99.78it/s]
 27%|β–ˆβ–ˆβ–‹       | 405/1522 [00:02<00:08, 136.87it/s]
 28%|β–ˆβ–ˆβ–Š       | 432/1522 [00:03<00:07, 154.52it/s]
 30%|β–ˆβ–ˆβ–ˆ       | 458/1522 [00:03<00:06, 162.31it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 482/1522 [00:03<00:06, 171.83it/s]
 33%|β–ˆβ–ˆβ–ˆβ–Ž      | 505/1522 [00:03<00:06, 169.21it/s]
 35%|β–ˆβ–ˆβ–ˆβ–      | 526/1522 [00:03<00:05, 173.65it/s]
 36%|β–ˆβ–ˆβ–ˆβ–Œ      | 547/1522 [00:03<00:06, 162.19it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 566/1522 [00:03<00:06, 158.80it/s]
 39%|β–ˆβ–ˆβ–ˆβ–Š      | 589/1522 [00:03<00:05, 174.12it/s]
 40%|β–ˆβ–ˆβ–ˆβ–‰      | 608/1522 [00:04<00:05, 177.99it/s]
 42%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 637/1522 [00:04<00:04, 206.35it/s]
 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 665/1522 [00:04<00:03, 223.60it/s]
 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ     | 692/1522 [00:04<00:03, 233.08it/s]
 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹     | 720/1522 [00:04<00:03, 245.65it/s]
 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 746/1522 [00:04<00:03, 249.47it/s]
 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ     | 772/1522 [00:04<00:03, 233.38it/s]
 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 796/1522 [00:04<00:03, 222.71it/s]
 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 819/1522 [00:04<00:03, 222.91it/s]
 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 844/1522 [00:04<00:02, 228.74it/s]
 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 873/1522 [00:05<00:02, 242.82it/s]
 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 898/1522 [00:05<00:02, 227.74it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 922/1522 [00:05<00:02, 222.09it/s]
 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 945/1522 [00:05<00:02, 215.98it/s]
 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 970/1522 [00:05<00:02, 218.42it/s]
 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 992/1522 [00:05<00:02, 212.19it/s]
 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 1014/1522 [00:05<00:02, 202.99it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1035/1522 [00:05<00:02, 192.64it/s]
 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 1059/1522 [00:06<00:02, 200.11it/s]
 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 1084/1522 [00:06<00:02, 213.48it/s]
 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 1108/1522 [00:06<00:01, 209.78it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1132/1522 [00:06<00:01, 217.20it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 1163/1522 [00:06<00:01, 239.97it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 1192/1522 [00:06<00:01, 251.36it/s]
 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 1218/1522 [00:06<00:01, 249.97it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1245/1522 [00:06<00:01, 254.11it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1271/1522 [00:06<00:00, 252.37it/s]
 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1297/1522 [00:06<00:00, 239.65it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1322/1522 [00:07<00:00, 237.40it/s]
 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1346/1522 [00:07<00:00, 229.90it/s]
 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1370/1522 [00:08<00:02, 56.93it/s] 
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1396/1522 [00:08<00:01, 73.95it/s]
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1418/1522 [00:08<00:01, 89.99it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1439/1522 [00:08<00:00, 106.30it/s]
 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1459/1522 [00:08<00:00, 118.31it/s]
 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1484/1522 [00:08<00:00, 140.76it/s]
 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 1511/1522 [00:09<00:00, 162.41it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1522/1522 [00:09<00:00, 168.05it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...