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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 105089 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/00_traj_1396.5.json.gz
Loading a file takes 52.01s
Creating data frames takes 19.48s
Filling data types and values takes 5.86s

 Processing a file takes 18.50s
Concatenating time series takes 0.47s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/01_traj_2491.0.json.gz
Loading a file takes 56.96s
Creating data frames takes 20.86s
Filling data types and values takes 5.90s

 Processing a file takes 17.74s
Concatenating time series takes 0.33s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/02_traj_3569.0.json.gz
Loading a file takes 58.80s
Creating data frames takes 20.50s
Filling data types and values takes 5.64s

 Processing a file takes 17.32s
Concatenating time series takes 0.38s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/03_traj_4640.0.json.gz
Loading a file takes 48.18s
Creating data frames takes 18.40s
Filling data types and values takes 5.25s

 Processing a file takes 16.36s
Concatenating time series takes 0.42s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/04_traj_5700.5.json.gz
Loading a file takes 49.91s
Creating data frames takes 18.19s
Filling data types and values takes 5.25s

 Processing a file takes 17.43s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/05_traj_6772.5.json.gz
Loading a file takes 50.41s
Creating data frames takes 23.17s
Filling data types and values takes 6.14s

 Processing a file takes 19.27s
Concatenating time series takes 0.71s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/06_traj_end.json.gz
Loading a file takes 31.35s
Creating data frames takes 18.66s
Filling data types and values takes 3.32s

 Processing a file takes 16.35s
Concatenating time series takes 0.74s
Saving all the section time series takes 74.41s
Saving all the junction time series takes 10.06s
Saving network entrance and exit takes 0.07s
Aggregating the raw statistics to different intervals...

  0%|          | 0/1517 [00:00<?, ?it/s]
  0%|          | 1/1517 [00:00<10:37,  2.38it/s]
  2%|▏         | 26/1517 [00:00<00:23, 63.53it/s]
  4%|▍         | 63/1517 [00:00<00:10, 141.53it/s]
  7%|β–‹         | 103/1517 [00:00<00:06, 208.73it/s]
  9%|β–‰         | 136/1517 [00:00<00:05, 234.27it/s]
 11%|β–ˆ         | 166/1517 [00:00<00:05, 232.29it/s]
 13%|β–ˆβ–Ž        | 194/1517 [00:01<00:05, 235.68it/s]
 15%|β–ˆβ–        | 221/1517 [00:01<00:05, 233.07it/s]
 17%|β–ˆβ–‹        | 255/1517 [00:01<00:04, 258.65it/s]
 19%|β–ˆβ–Š        | 283/1517 [00:01<00:04, 262.30it/s]
 21%|β–ˆβ–ˆ        | 311/1517 [00:01<00:04, 260.53it/s]
 22%|β–ˆβ–ˆβ–       | 338/1517 [00:02<00:14, 78.69it/s] 
 25%|β–ˆβ–ˆβ–       | 379/1517 [00:02<00:10, 113.42it/s]
 28%|β–ˆβ–ˆβ–Š       | 418/1517 [00:02<00:07, 148.24it/s]
 29%|β–ˆβ–ˆβ–‰       | 447/1517 [00:02<00:06, 165.88it/s]
 31%|β–ˆβ–ˆβ–ˆβ–      | 475/1517 [00:02<00:05, 178.05it/s]
 33%|β–ˆβ–ˆβ–ˆβ–Ž      | 501/1517 [00:03<00:05, 178.48it/s]
 35%|β–ˆβ–ˆβ–ˆβ–      | 525/1517 [00:03<00:05, 181.66it/s]
 36%|β–ˆβ–ˆβ–ˆβ–Œ      | 548/1517 [00:03<00:05, 174.89it/s]
 38%|β–ˆβ–ˆβ–ˆβ–Š      | 569/1517 [00:03<00:05, 177.42it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 592/1517 [00:03<00:04, 188.83it/s]
 40%|β–ˆβ–ˆβ–ˆβ–ˆ      | 613/1517 [00:03<00:04, 192.29it/s]
 42%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 638/1517 [00:03<00:04, 207.27it/s]
 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 662/1517 [00:03<00:03, 214.39it/s]
 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ     | 686/1517 [00:03<00:03, 221.12it/s]
 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹     | 710/1517 [00:04<00:03, 221.90it/s]
 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š     | 733/1517 [00:04<00:03, 222.75it/s]
 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 756/1517 [00:04<00:03, 213.68it/s]
 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 778/1517 [00:04<00:03, 207.12it/s]
 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 799/1517 [00:04<00:03, 204.24it/s]
 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 825/1517 [00:04<00:03, 219.00it/s]
 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 852/1517 [00:04<00:02, 231.01it/s]
 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 876/1517 [00:04<00:02, 229.84it/s]
 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 900/1517 [00:04<00:02, 231.70it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 924/1517 [00:05<00:02, 225.16it/s]
 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 955/1517 [00:05<00:02, 247.90it/s]
 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 983/1517 [00:05<00:02, 248.17it/s]
 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 1009/1517 [00:05<00:02, 249.68it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1035/1517 [00:05<00:01, 250.88it/s]
 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 1062/1517 [00:05<00:01, 252.18it/s]
 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1092/1517 [00:05<00:01, 265.31it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1119/1517 [00:05<00:01, 254.99it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 1148/1517 [00:05<00:01, 264.31it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 1178/1517 [00:05<00:01, 273.23it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 1206/1517 [00:06<00:01, 270.81it/s]
 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1236/1517 [00:06<00:01, 275.93it/s]
 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1264/1517 [00:06<00:00, 274.12it/s]
 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1292/1517 [00:06<00:00, 256.05it/s]
 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1328/1517 [00:06<00:00, 280.76it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1357/1517 [00:06<00:00, 261.68it/s]
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1384/1517 [00:07<00:01, 71.65it/s] 
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1406/1517 [00:07<00:01, 85.63it/s]
 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1431/1517 [00:07<00:00, 105.19it/s]
 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1457/1517 [00:08<00:00, 127.26it/s]
 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1484/1517 [00:08<00:00, 149.16it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1517/1517 [00:08<00:00, 183.65it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...