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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 129556 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/trajectory/00_traj_1338.5.json.gz
Loading a file takes 51.38s
Creating data frames takes 20.45s
Filling data types and values takes 6.68s

 Processing a file takes 18.13s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/trajectory/01_traj_2164.5.json.gz
Loading a file takes 56.37s
Creating data frames takes 23.99s
Filling data types and values takes 6.09s

 Processing a file takes 18.15s
Concatenating time series takes 0.23s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/trajectory/02_traj_2958.5.json.gz
Loading a file takes 54.48s
Creating data frames takes 24.17s
Filling data types and values takes 6.07s

 Processing a file takes 17.74s
Concatenating time series takes 0.25s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/trajectory/03_traj_3743.0.json.gz
Loading a file takes 51.93s
Creating data frames takes 23.54s
Filling data types and values takes 6.02s

 Processing a file takes 17.58s
Concatenating time series takes 0.45s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/trajectory/04_traj_4499.5.json.gz
Loading a file takes 59.64s
Creating data frames takes 24.81s
Filling data types and values takes 6.15s

 Processing a file takes 18.22s
Concatenating time series takes 0.58s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/trajectory/05_traj_5243.0.json.gz
Loading a file takes 56.54s
Creating data frames takes 24.76s
Filling data types and values takes 6.27s

 Processing a file takes 30.51s
Concatenating time series takes 0.45s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/trajectory/06_traj_5939.5.json.gz
Loading a file takes 61.94s
Creating data frames takes 24.81s
Filling data types and values takes 6.15s

 Processing a file takes 27.28s
Concatenating time series takes 0.69s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/trajectory/07_traj_6624.0.json.gz
Loading a file takes 61.32s
Creating data frames takes 24.16s
Filling data types and values takes 6.12s

 Processing a file takes 25.69s
Concatenating time series takes 0.51s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/trajectory/08_traj_7297.0.json.gz
Loading a file takes 70.98s
Creating data frames takes 26.07s
Filling data types and values takes 5.67s

 Processing a file takes 27.22s
Concatenating time series takes 0.74s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/trajectory/09_traj_12829.5.json.gz
Loading a file takes 59.88s
Creating data frames takes 26.67s
Filling data types and values takes 5.59s

 Processing a file takes 28.56s
Concatenating time series takes 0.44s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/trajectory/10_traj_end.json.gz
Loading a file takes 32.68s
Creating data frames takes 10.41s
Filling data types and values takes 2.22s

 Processing a file takes 6.09s
Concatenating time series takes 0.07s
Saving all the section time series takes 85.72s
Saving all the junction time series takes 12.24s
Saving network entrance and exit takes 0.09s
Aggregating the raw statistics to different intervals...

  0%|          | 0/1521 [00:00<?, ?it/s]
  0%|          | 1/1521 [00:00<12:21,  2.05it/s]
  0%|          | 4/1521 [00:00<03:05,  8.18it/s]
  2%|▏         | 32/1521 [00:00<00:20, 72.58it/s]
  3%|β–Ž         | 47/1521 [00:00<00:19, 76.03it/s]
  5%|β–Œ         | 83/1521 [00:00<00:10, 139.38it/s]
  7%|β–‹         | 108/1521 [00:01<00:08, 164.15it/s]
  8%|β–Š         | 129/1521 [00:01<00:08, 156.34it/s]
 10%|β–‰         | 148/1521 [00:01<00:09, 143.62it/s]
 11%|β–ˆ         | 165/1521 [00:01<00:09, 137.10it/s]
 12%|β–ˆβ–        | 187/1521 [00:01<00:08, 156.30it/s]
 14%|β–ˆβ–Ž        | 208/1521 [00:01<00:07, 169.09it/s]
 15%|β–ˆβ–Œ        | 233/1521 [00:01<00:06, 189.33it/s]
 17%|β–ˆβ–‹        | 254/1521 [00:01<00:06, 194.58it/s]
 18%|β–ˆβ–Š        | 275/1521 [00:02<00:06, 190.99it/s]
 20%|β–ˆβ–‰        | 299/1521 [00:02<00:06, 198.08it/s]
 21%|β–ˆβ–ˆ        | 320/1521 [00:03<00:22, 53.89it/s] 
 23%|β–ˆβ–ˆβ–Ž       | 350/1521 [00:03<00:15, 77.29it/s]
 26%|β–ˆβ–ˆβ–Œ       | 388/1521 [00:03<00:10, 110.59it/s]
 27%|β–ˆβ–ˆβ–‹       | 413/1521 [00:03<00:08, 130.17it/s]
 29%|β–ˆβ–ˆβ–‰       | 443/1521 [00:03<00:06, 158.46it/s]
 31%|β–ˆβ–ˆβ–ˆ       | 469/1521 [00:03<00:06, 169.15it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 493/1521 [00:03<00:06, 167.27it/s]
 34%|β–ˆβ–ˆβ–ˆβ–      | 515/1521 [00:04<00:05, 177.64it/s]
 35%|β–ˆβ–ˆβ–ˆβ–Œ      | 537/1521 [00:04<00:05, 174.98it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 558/1521 [00:04<00:05, 172.33it/s]
 38%|β–ˆβ–ˆβ–ˆβ–Š      | 580/1521 [00:04<00:05, 181.76it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 600/1521 [00:04<00:05, 179.17it/s]
 41%|β–ˆβ–ˆβ–ˆβ–ˆ      | 626/1521 [00:04<00:04, 190.34it/s]
 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 658/1521 [00:04<00:03, 222.90it/s]
 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 682/1521 [00:04<00:03, 220.92it/s]
 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹     | 705/1521 [00:05<00:03, 206.25it/s]
 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š     | 728/1521 [00:05<00:03, 209.11it/s]
 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 750/1521 [00:05<00:03, 211.03it/s]
 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ     | 772/1521 [00:05<00:03, 205.42it/s]
 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 795/1521 [00:05<00:03, 204.60it/s]
 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 822/1521 [00:05<00:03, 221.11it/s]
 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 846/1521 [00:05<00:03, 222.08it/s]
 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 869/1521 [00:05<00:03, 212.38it/s]
 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 893/1521 [00:05<00:02, 213.29it/s]
 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 920/1521 [00:05<00:02, 228.44it/s]
 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 948/1521 [00:06<00:02, 240.79it/s]
 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 979/1521 [00:06<00:02, 256.63it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 1009/1521 [00:06<00:01, 269.03it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1037/1521 [00:06<00:01, 263.74it/s]
 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 1064/1521 [00:06<00:01, 263.26it/s]
 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1091/1521 [00:06<00:01, 221.87it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1125/1521 [00:06<00:01, 251.92it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 1152/1521 [00:06<00:01, 221.98it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 1183/1521 [00:07<00:01, 243.28it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 1209/1521 [00:07<00:01, 241.98it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1244/1521 [00:07<00:01, 253.58it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1274/1521 [00:07<00:00, 265.32it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1302/1521 [00:07<00:00, 269.29it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1330/1521 [00:07<00:00, 244.88it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1356/1521 [00:07<00:00, 244.21it/s]
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1381/1521 [00:08<00:02, 65.77it/s] 
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1405/1521 [00:08<00:01, 81.75it/s]
 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1430/1521 [00:09<00:00, 99.64it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1451/1521 [00:09<00:00, 114.79it/s]
 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1472/1521 [00:09<00:00, 128.77it/s]
 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1492/1521 [00:09<00:00, 136.34it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1521/1521 [00:09<00:00, 160.68it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_030/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...