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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 139636 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/00_traj_1308.0.json.gz
Loading a file takes 51.64s
Creating data frames takes 22.22s
Filling data types and values takes 7.12s

 Processing a file takes 17.60s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/01_traj_2070.0.json.gz
Loading a file takes 58.35s
Creating data frames takes 50.82s
Filling data types and values takes 6.51s

 Processing a file takes 18.33s
Concatenating time series takes 0.29s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/02_traj_2794.5.json.gz
Loading a file takes 60.46s
Creating data frames takes 33.47s
Filling data types and values takes 6.58s

 Processing a file takes 18.16s
Concatenating time series takes 0.38s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/03_traj_3495.5.json.gz
Loading a file takes 53.65s
Creating data frames takes 25.45s
Filling data types and values takes 6.42s

 Processing a file takes 18.58s
Concatenating time series takes 0.38s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/04_traj_4206.5.json.gz
Loading a file takes 58.89s
Creating data frames takes 25.86s
Filling data types and values takes 6.40s

 Processing a file takes 19.54s
Concatenating time series takes 0.46s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/05_traj_4928.5.json.gz
Loading a file takes 54.64s
Creating data frames takes 24.84s
Filling data types and values takes 6.51s

 Processing a file takes 31.65s
Concatenating time series takes 0.44s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/06_traj_5638.0.json.gz
Loading a file takes 60.91s
Creating data frames takes 26.54s
Filling data types and values takes 6.84s

 Processing a file takes 35.29s
Concatenating time series takes 0.48s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/07_traj_6330.5.json.gz
Loading a file takes 69.10s
Creating data frames takes 28.86s
Filling data types and values takes 5.65s

 Processing a file takes 18.03s
Concatenating time series takes 0.64s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/08_traj_7033.0.json.gz
Loading a file takes 51.67s
Creating data frames takes 42.44s
Filling data types and values takes 11.11s

 Processing a file takes 23.25s
Concatenating time series takes 0.44s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/trajectory/09_traj_end.json.gz
Loading a file takes 41.46s
Creating data frames takes 34.02s
Filling data types and values takes 3.98s

 Processing a file takes 17.11s
Concatenating time series takes 0.54s
Saving all the section time series takes 74.87s
Saving all the junction time series takes 12.04s
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<12:53,  1.96it/s]
  0%|          | 7/1517 [00:01<03:36,  6.98it/s]
 11%|β–ˆ         | 160/1517 [00:01<00:06, 203.10it/s]
 15%|β–ˆβ–Œ        | 228/1517 [00:01<00:06, 201.03it/s]
 18%|β–ˆβ–Š        | 277/1517 [00:01<00:05, 210.87it/s]
 21%|β–ˆβ–ˆ        | 317/1517 [00:02<00:12, 92.38it/s] 
 23%|β–ˆβ–ˆβ–Ž       | 345/1517 [00:03<00:11, 105.36it/s]
 25%|β–ˆβ–ˆβ–       | 378/1517 [00:03<00:08, 126.82it/s]
 27%|β–ˆβ–ˆβ–‹       | 407/1517 [00:03<00:07, 143.55it/s]
 29%|β–ˆβ–ˆβ–Š       | 435/1517 [00:03<00:07, 152.14it/s]
 30%|β–ˆβ–ˆβ–ˆ       | 460/1517 [00:03<00:06, 161.85it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 484/1517 [00:03<00:06, 155.89it/s]
 33%|β–ˆβ–ˆβ–ˆβ–Ž      | 505/1517 [00:03<00:06, 156.61it/s]
 35%|β–ˆβ–ˆβ–ˆβ–      | 525/1517 [00:03<00:06, 152.49it/s]
 36%|β–ˆβ–ˆβ–ˆβ–Œ      | 544/1517 [00:04<00:06, 151.55it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 561/1517 [00:04<00:06, 152.41it/s]
 38%|β–ˆβ–ˆβ–ˆβ–Š      | 578/1517 [00:04<00:06, 155.44it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 599/1517 [00:04<00:06, 152.47it/s]
 41%|β–ˆβ–ˆβ–ˆβ–ˆ      | 618/1517 [00:04<00:05, 155.02it/s]
 42%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 641/1517 [00:04<00:05, 170.45it/s]
 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 659/1517 [00:04<00:05, 169.58it/s]
 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 677/1517 [00:04<00:05, 166.95it/s]
 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ     | 698/1517 [00:05<00:04, 178.32it/s]
 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹     | 717/1517 [00:05<00:04, 177.21it/s]
 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 741/1517 [00:05<00:04, 192.49it/s]
 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ     | 761/1517 [00:05<00:04, 185.31it/s]
 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 780/1517 [00:05<00:04, 168.28it/s]
 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 805/1517 [00:05<00:03, 186.08it/s]
 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 832/1517 [00:05<00:03, 205.66it/s]
 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 863/1517 [00:05<00:02, 233.99it/s]
 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 888/1517 [00:05<00:02, 234.96it/s]
 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 912/1517 [00:06<00:02, 234.83it/s]
 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 936/1517 [00:06<00:02, 222.90it/s]
 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 961/1517 [00:06<00:02, 223.00it/s]
 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 984/1517 [00:06<00:02, 218.16it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 1006/1517 [00:06<00:02, 217.97it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1028/1517 [00:06<00:02, 205.67it/s]
 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 1049/1517 [00:06<00:02, 201.14it/s]
 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 1072/1517 [00:06<00:02, 207.58it/s]
 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1093/1517 [00:06<00:02, 205.74it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 1115/1517 [00:07<00:01, 206.02it/s]
 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 1140/1517 [00:07<00:01, 217.01it/s]
 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 1171/1517 [00:07<00:01, 242.09it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 1196/1517 [00:07<00:01, 228.88it/s]
 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 1222/1517 [00:07<00:01, 236.15it/s]
 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1255/1517 [00:07<00:01, 260.86it/s]
 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1285/1517 [00:07<00:00, 269.75it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1313/1517 [00:07<00:00, 269.49it/s]
 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1341/1517 [00:07<00:00, 241.40it/s]
 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1366/1517 [00:09<00:02, 58.07it/s] 
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1384/1517 [00:09<00:01, 67.32it/s]
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1411/1517 [00:09<00:01, 88.62it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1440/1517 [00:09<00:00, 113.86it/s]
 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1463/1517 [00:09<00:00, 129.20it/s]
 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1485/1517 [00:09<00:00, 144.65it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 1511/1517 [00:09<00:00, 164.65it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1517/1517 [00:09<00:00, 154.22it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_039/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...