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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 116973 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_012/trajectory/00_traj_1384.0.json.gz
Loading a file takes 51.94s
Creating data frames takes 19.61s
Filling data types and values takes 5.99s

 Processing a file takes 18.24s
Concatenating time series takes 0.45s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_012/trajectory/01_traj_2320.0.json.gz
Loading a file takes 57.64s
Creating data frames takes 26.12s
Filling data types and values takes 6.14s

 Processing a file takes 17.91s
Concatenating time series takes 0.36s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_012/trajectory/02_traj_3272.0.json.gz
Loading a file takes 57.56s
Creating data frames takes 38.41s
Filling data types and values takes 7.60s

 Processing a file takes 19.46s
Concatenating time series takes 0.79s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_012/trajectory/03_traj_4187.5.json.gz
Loading a file takes 56.10s
Creating data frames takes 38.47s
Filling data types and values takes 7.07s

 Processing a file takes 18.96s
Concatenating time series takes 0.72s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_012/trajectory/04_traj_5104.5.json.gz
Loading a file takes 54.84s
Creating data frames takes 33.09s
Filling data types and values takes 5.53s

 Processing a file takes 18.63s
Concatenating time series takes 0.47s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_012/trajectory/05_traj_6023.5.json.gz
Loading a file takes 51.90s
Creating data frames takes 26.53s
Filling data types and values takes 5.60s

 Processing a file takes 27.79s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_012/trajectory/06_traj_6951.5.json.gz
Loading a file takes 53.08s
Creating data frames takes 30.64s
Filling data types and values takes 5.48s

 Processing a file takes 18.15s
Concatenating time series takes 0.62s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_012/trajectory/07_traj_end.json.gz
Loading a file takes 27.63s
Creating data frames takes 10.74s
Filling data types and values takes 2.79s

 Processing a file takes 15.41s
Concatenating time series takes 0.55s
Saving all the section time series takes 75.46s
Saving all the junction time series takes 10.39s
Saving network entrance and exit takes 0.08s
Aggregating the raw statistics to different intervals...

  0%|          | 0/1517 [00:00<?, ?it/s]
  0%|          | 1/1517 [00:00<10:59,  2.30it/s]
  2%|▏         | 29/1517 [00:00<00:20, 70.94it/s]
  4%|▍         | 63/1517 [00:00<00:10, 136.53it/s]
  7%|β–‹         | 101/1517 [00:00<00:07, 198.70it/s]
  9%|β–Š         | 130/1517 [00:00<00:06, 221.02it/s]
 10%|β–ˆ         | 159/1517 [00:01<00:06, 212.72it/s]
 12%|β–ˆβ–        | 185/1517 [00:01<00:06, 221.55it/s]
 14%|β–ˆβ–        | 210/1517 [00:01<00:05, 219.43it/s]
 16%|β–ˆβ–Œ        | 242/1517 [00:01<00:05, 244.50it/s]
 18%|β–ˆβ–Š        | 269/1517 [00:01<00:05, 240.88it/s]
 19%|β–ˆβ–‰        | 295/1517 [00:01<00:05, 234.97it/s]
 21%|β–ˆβ–ˆ        | 321/1517 [00:02<00:17, 69.59it/s] 
 23%|β–ˆβ–ˆβ–Ž       | 352/1517 [00:02<00:12, 91.66it/s]
 26%|β–ˆβ–ˆβ–Œ       | 397/1517 [00:02<00:08, 135.71it/s]
 28%|β–ˆβ–ˆβ–Š       | 425/1517 [00:02<00:06, 156.50it/s]
 30%|β–ˆβ–ˆβ–‰       | 453/1517 [00:03<00:06, 174.88it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 480/1517 [00:03<00:05, 176.03it/s]
 33%|β–ˆβ–ˆβ–ˆβ–Ž      | 505/1517 [00:03<00:05, 172.63it/s]
 35%|β–ˆβ–ˆβ–ˆβ–      | 527/1517 [00:03<00:05, 176.94it/s]
 36%|β–ˆβ–ˆβ–ˆβ–Œ      | 548/1517 [00:03<00:05, 172.60it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 568/1517 [00:03<00:05, 171.82it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 589/1517 [00:03<00:05, 179.41it/s]
 40%|β–ˆβ–ˆβ–ˆβ–ˆ      | 609/1517 [00:03<00:05, 178.07it/s]
 42%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 637/1517 [00:04<00:04, 200.78it/s]
 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 661/1517 [00:04<00:04, 207.01it/s]
 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ     | 687/1517 [00:04<00:03, 220.88it/s]
 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹     | 710/1517 [00:04<00:03, 221.23it/s]
 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š     | 734/1517 [00:04<00:03, 219.25it/s]
 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 757/1517 [00:04<00:03, 197.64it/s]
 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 778/1517 [00:04<00:03, 194.26it/s]
 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 798/1517 [00:04<00:03, 194.25it/s]
 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 823/1517 [00:04<00:03, 206.63it/s]
 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 849/1517 [00:04<00:03, 220.09it/s]
 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 875/1517 [00:05<00:02, 231.28it/s]
 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 900/1517 [00:05<00:02, 234.48it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 924/1517 [00:05<00:02, 224.32it/s]
 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 947/1517 [00:05<00:02, 219.98it/s]
 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 974/1517 [00:05<00:02, 233.93it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 999/1517 [00:05<00:02, 233.84it/s]
 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 1023/1517 [00:05<00:02, 229.27it/s]
 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 1047/1517 [00:05<00:02, 216.69it/s]
 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 1070/1517 [00:05<00:02, 217.26it/s]
 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1097/1517 [00:06<00:01, 230.68it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1121/1517 [00:06<00:01, 230.89it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 1146/1517 [00:06<00:01, 234.85it/s]
 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 1175/1517 [00:06<00:01, 250.10it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 1204/1517 [00:06<00:01, 260.05it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1238/1517 [00:06<00:00, 282.19it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1267/1517 [00:06<00:00, 276.28it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1299/1517 [00:06<00:00, 288.71it/s]
 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1328/1517 [00:06<00:00, 264.59it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1355/1517 [00:07<00:00, 256.26it/s]
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1381/1517 [00:08<00:02, 64.86it/s] 
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1408/1517 [00:08<00:01, 83.10it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1434/1517 [00:08<00:00, 102.15it/s]
 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1458/1517 [00:08<00:00, 119.22it/s]
 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1488/1517 [00:08<00:00, 148.28it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1517/1517 [00:08<00:00, 174.11it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_012/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...