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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 114797 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_011/trajectory/00_traj_1351.0.json.gz
Loading a file takes 48.14s
Creating data frames takes 18.39s
Filling data types and values takes 5.64s

 Processing a file takes 17.19s
Concatenating time series takes 0.46s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_011/trajectory/01_traj_2314.0.json.gz
Loading a file takes 55.08s
Creating data frames takes 21.14s
Filling data types and values takes 5.66s

 Processing a file takes 18.52s
Concatenating time series takes 0.35s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_011/trajectory/02_traj_3279.0.json.gz
Loading a file takes 57.12s
Creating data frames takes 20.29s
Filling data types and values takes 5.45s

 Processing a file takes 17.86s
Concatenating time series takes 0.27s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_011/trajectory/03_traj_4255.0.json.gz
Loading a file takes 54.73s
Creating data frames takes 23.32s
Filling data types and values takes 5.38s

 Processing a file takes 18.74s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_011/trajectory/04_traj_5198.0.json.gz
Loading a file takes 57.06s
Creating data frames takes 19.91s
Filling data types and values takes 5.41s

 Processing a file takes 18.59s
Concatenating time series takes 0.55s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_011/trajectory/05_traj_6150.5.json.gz
Loading a file takes 57.86s
Creating data frames takes 22.39s
Filling data types and values takes 5.49s

 Processing a file takes 40.53s
Concatenating time series takes 0.69s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_011/trajectory/06_traj_7115.5.json.gz
Loading a file takes 66.01s
Creating data frames takes 23.44s
Filling data types and values takes 5.63s

 Processing a file takes 22.18s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_011/trajectory/07_traj_end.json.gz
Loading a file takes 21.44s
Creating data frames takes 6.80s
Filling data types and values takes 1.56s

 Processing a file takes 12.99s
Concatenating time series takes 0.60s
Saving all the section time series takes 73.90s
Saving all the junction time series takes 10.18s
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<09:43,  2.60it/s]
  1%|▏         | 19/1517 [00:00<00:30, 49.21it/s]
  3%|β–Ž         | 48/1517 [00:00<00:12, 114.62it/s]
  5%|β–Œ         | 82/1517 [00:00<00:08, 172.94it/s]
  8%|β–Š         | 118/1517 [00:00<00:06, 219.35it/s]
 10%|β–‰         | 145/1517 [00:00<00:06, 219.77it/s]
 11%|β–ˆβ–        | 171/1517 [00:01<00:06, 223.20it/s]
 13%|β–ˆβ–Ž        | 196/1517 [00:01<00:06, 214.63it/s]
 15%|β–ˆβ–        | 220/1517 [00:01<00:05, 216.36it/s]
 17%|β–ˆβ–‹        | 252/1517 [00:01<00:05, 241.66it/s]
 18%|β–ˆβ–Š        | 280/1517 [00:01<00:04, 250.44it/s]
 20%|β–ˆβ–ˆ        | 307/1517 [00:01<00:04, 252.08it/s]
 22%|β–ˆβ–ˆβ–       | 333/1517 [00:02<00:16, 71.81it/s] 
 26%|β–ˆβ–ˆβ–Œ       | 388/1517 [00:02<00:09, 115.27it/s]
 28%|β–ˆβ–ˆβ–Š       | 427/1517 [00:02<00:07, 148.78it/s]
 30%|β–ˆβ–ˆβ–ˆ       | 456/1517 [00:02<00:06, 161.63it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 483/1517 [00:03<00:05, 173.03it/s]
 34%|β–ˆβ–ˆβ–ˆβ–Ž      | 509/1517 [00:03<00:05, 182.60it/s]
 35%|β–ˆβ–ˆβ–ˆβ–Œ      | 534/1517 [00:03<00:05, 181.29it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 557/1517 [00:03<00:05, 174.72it/s]
 38%|β–ˆβ–ˆβ–ˆβ–Š      | 578/1517 [00:03<00:05, 177.47it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 598/1517 [00:03<00:05, 181.07it/s]
 41%|β–ˆβ–ˆβ–ˆβ–ˆ      | 618/1517 [00:03<00:04, 182.71it/s]
 42%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 642/1517 [00:03<00:04, 195.04it/s]
 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 667/1517 [00:04<00:04, 207.98it/s]
 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ     | 690/1517 [00:04<00:03, 210.79it/s]
 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹     | 714/1517 [00:04<00:03, 210.40it/s]
 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 743/1517 [00:04<00:03, 232.28it/s]
 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ     | 767/1517 [00:04<00:03, 215.24it/s]
 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 791/1517 [00:04<00:03, 214.64it/s]
 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 817/1517 [00:04<00:03, 226.37it/s]
 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 843/1517 [00:04<00:02, 234.63it/s]
 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 868/1517 [00:04<00:02, 235.46it/s]
 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 894/1517 [00:05<00:02, 240.71it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 919/1517 [00:05<00:02, 230.57it/s]
 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 946/1517 [00:05<00:02, 235.67it/s]
 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 978/1517 [00:05<00:02, 255.40it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 1006/1517 [00:05<00:01, 256.49it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1034/1517 [00:05<00:01, 261.18it/s]
 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 1062/1517 [00:05<00:01, 254.18it/s]
 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1094/1517 [00:05<00:01, 271.88it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1125/1517 [00:05<00:01, 282.23it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 1156/1517 [00:05<00:01, 280.53it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 1186/1517 [00:06<00:01, 284.14it/s]
 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 1215/1517 [00:06<00:01, 282.87it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1245/1517 [00:06<00:00, 286.60it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1275/1517 [00:06<00:00, 277.49it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1309/1517 [00:06<00:00, 289.19it/s]
 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1338/1517 [00:06<00:00, 268.38it/s]
 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1366/1517 [00:07<00:01, 78.61it/s] 
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1386/1517 [00:07<00:01, 89.98it/s]
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1417/1517 [00:07<00:00, 116.33it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1446/1517 [00:07<00:00, 140.30it/s]
 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1470/1517 [00:08<00:00, 150.90it/s]
 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1494/1517 [00:08<00:00, 168.01it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1517/1517 [00:08<00:00, 184.06it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_011/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...