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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 109514 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/00_traj_1380.0.json.gz
Loading a file takes 49.22s
Creating data frames takes 19.19s
Filling data types and values takes 5.82s

 Processing a file takes 18.48s
Concatenating time series takes 0.47s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/01_traj_2393.0.json.gz
Loading a file takes 56.02s
Creating data frames takes 21.16s
Filling data types and values takes 5.95s

 Processing a file takes 17.97s
Concatenating time series takes 0.30s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/02_traj_3393.5.json.gz
Loading a file takes 55.15s
Creating data frames takes 19.75s
Filling data types and values takes 5.72s

 Processing a file takes 18.29s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/03_traj_4398.5.json.gz
Loading a file takes 53.82s
Creating data frames takes 28.13s
Filling data types and values takes 5.83s

 Processing a file takes 18.41s
Concatenating time series takes 0.81s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/04_traj_5421.0.json.gz
Loading a file takes 59.02s
Creating data frames takes 25.02s
Filling data types and values takes 5.71s

 Processing a file takes 18.76s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/05_traj_6402.5.json.gz
Loading a file takes 55.00s
Creating data frames takes 31.34s
Filling data types and values takes 5.65s

 Processing a file takes 22.30s
Concatenating time series takes 0.75s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/06_traj_7809.0.json.gz
Loading a file takes 61.01s
Creating data frames takes 23.52s
Filling data types and values takes 5.78s

 Processing a file takes 20.40s
Concatenating time series takes 0.87s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/trajectory/07_traj_end.json.gz
Loading a file takes 3.53s
Creating data frames takes 0.22s
Filling data types and values takes 0.04s

 Processing a file takes 4.43s
Concatenating time series takes 0.22s
Saving all the section time series takes 74.73s
Saving all the junction time series takes 10.12s
Saving network entrance and exit takes 0.07s
Aggregating the raw statistics to different intervals...

  0%|          | 0/1515 [00:00<?, ?it/s]
  0%|          | 1/1515 [00:00<08:47,  2.87it/s]
  2%|▏         | 33/1515 [00:00<00:16, 92.58it/s]
  5%|▍         | 75/1515 [00:00<00:07, 181.12it/s]
  8%|β–Š         | 115/1515 [00:00<00:05, 241.71it/s]
 10%|β–‰         | 147/1515 [00:00<00:05, 254.54it/s]
 12%|β–ˆβ–        | 178/1515 [00:00<00:05, 247.40it/s]
 14%|β–ˆβ–Ž        | 207/1515 [00:01<00:05, 246.43it/s]
 16%|β–ˆβ–Œ        | 240/1515 [00:01<00:04, 262.10it/s]
 18%|β–ˆβ–Š        | 268/1515 [00:01<00:05, 245.46it/s]
 19%|β–ˆβ–‰        | 294/1515 [00:01<00:05, 235.28it/s]
 21%|β–ˆβ–ˆ        | 319/1515 [00:01<00:05, 234.52it/s]
 23%|β–ˆβ–ˆβ–Ž       | 344/1515 [00:02<00:14, 78.52it/s] 
 25%|β–ˆβ–ˆβ–       | 375/1515 [00:02<00:11, 103.37it/s]
 27%|β–ˆβ–ˆβ–‹       | 407/1515 [00:02<00:08, 132.15it/s]
 28%|β–ˆβ–ˆβ–Š       | 431/1515 [00:02<00:07, 148.13it/s]
 30%|β–ˆβ–ˆβ–ˆ       | 455/1515 [00:02<00:06, 151.51it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 478/1515 [00:02<00:06, 165.53it/s]
 33%|β–ˆβ–ˆβ–ˆβ–Ž      | 500/1515 [00:03<00:05, 170.21it/s]
 34%|β–ˆβ–ˆβ–ˆβ–      | 521/1515 [00:03<00:05, 166.46it/s]
 36%|β–ˆβ–ˆβ–ˆβ–Œ      | 541/1515 [00:03<00:05, 169.61it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 560/1515 [00:03<00:05, 174.01it/s]
 38%|β–ˆβ–ˆβ–ˆβ–Š      | 581/1515 [00:03<00:05, 180.16it/s]
 40%|β–ˆβ–ˆβ–ˆβ–‰      | 601/1515 [00:03<00:05, 173.64it/s]
 41%|β–ˆβ–ˆβ–ˆβ–ˆ      | 624/1515 [00:03<00:04, 188.42it/s]
 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 650/1515 [00:03<00:04, 206.48it/s]
 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 672/1515 [00:03<00:04, 203.88it/s]
 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ     | 696/1515 [00:04<00:03, 212.72it/s]
 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š     | 721/1515 [00:04<00:03, 221.57it/s]
 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 744/1515 [00:04<00:03, 206.84it/s]
 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ     | 766/1515 [00:04<00:03, 190.90it/s]
 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 786/1515 [00:04<00:04, 179.02it/s]
 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 811/1515 [00:04<00:03, 196.26it/s]
 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 832/1515 [00:04<00:03, 198.37it/s]
 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 854/1515 [00:04<00:03, 202.52it/s]
 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 881/1515 [00:04<00:02, 221.29it/s]
 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 906/1515 [00:05<00:02, 229.05it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 930/1515 [00:05<00:02, 223.43it/s]
 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 953/1515 [00:05<00:02, 224.28it/s]
 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 982/1515 [00:05<00:02, 241.46it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 1007/1515 [00:05<00:02, 233.26it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1031/1515 [00:05<00:02, 223.21it/s]
 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 1057/1515 [00:05<00:02, 221.33it/s]
 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1090/1515 [00:05<00:01, 250.66it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 1116/1515 [00:05<00:01, 236.20it/s]
 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 1141/1515 [00:06<00:01, 227.62it/s]
 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 1165/1515 [00:06<00:01, 227.77it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 1189/1515 [00:06<00:01, 230.01it/s]
 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 1213/1515 [00:06<00:01, 231.30it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1240/1515 [00:06<00:01, 236.11it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1270/1515 [00:06<00:00, 248.31it/s]
 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1295/1515 [00:06<00:00, 243.99it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1320/1515 [00:06<00:00, 218.70it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1343/1515 [00:06<00:00, 202.12it/s]
 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1365/1515 [00:08<00:02, 52.65it/s] 
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1389/1515 [00:08<00:01, 68.04it/s]
 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1419/1515 [00:08<00:01, 92.70it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1441/1515 [00:08<00:00, 109.33it/s]
 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1466/1515 [00:08<00:00, 123.77it/s]
 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 1498/1515 [00:08<00:00, 156.40it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1515/1515 [00:08<00:00, 171.00it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_019/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...