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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 135335 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/00_traj_1340.0.json.gz
Loading a file takes 48.76s
Creating data frames takes 30.85s
Filling data types and values takes 6.26s

 Processing a file takes 18.77s
Concatenating time series takes 0.51s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/01_traj_2119.0.json.gz
Loading a file takes 52.82s
Creating data frames takes 26.20s
Filling data types and values takes 5.84s

 Processing a file takes 18.30s
Concatenating time series takes 0.26s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/02_traj_2858.5.json.gz
Loading a file takes 54.46s
Creating data frames takes 27.83s
Filling data types and values takes 5.52s

 Processing a file takes 18.02s
Concatenating time series takes 0.24s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/03_traj_3556.0.json.gz
Loading a file takes 51.86s
Creating data frames takes 23.96s
Filling data types and values takes 5.40s

 Processing a file takes 17.89s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/04_traj_4246.5.json.gz
Loading a file takes 54.53s
Creating data frames takes 26.59s
Filling data types and values takes 5.57s

 Processing a file takes 18.16s
Concatenating time series takes 0.49s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/05_traj_4932.0.json.gz
Loading a file takes 52.83s
Creating data frames takes 22.28s
Filling data types and values takes 5.54s

 Processing a file takes 21.45s
Concatenating time series takes 0.59s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/06_traj_5592.0.json.gz
Loading a file takes 53.95s
Creating data frames takes 23.72s
Filling data types and values takes 5.64s

 Processing a file takes 24.87s
Concatenating time series takes 0.53s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/07_traj_6208.5.json.gz
Loading a file takes 57.22s
Creating data frames takes 24.16s
Filling data types and values takes 5.67s

 Processing a file takes 17.96s
Concatenating time series takes 0.58s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/08_traj_6759.5.json.gz
Loading a file takes 55.20s
Creating data frames takes 29.10s
Filling data types and values takes 5.80s

 Processing a file takes 17.37s
Concatenating time series takes 0.54s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/09_traj_7261.0.json.gz
Loading a file takes 55.60s
Creating data frames takes 27.57s
Filling data types and values takes 6.06s

 Processing a file takes 18.21s
Concatenating time series takes 0.55s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/10_traj_8112.0.json.gz
Loading a file takes 64.11s
Creating data frames takes 22.08s
Filling data types and values takes 5.95s

 Processing a file takes 16.43s
Concatenating time series takes 0.42s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/11_traj_9392.5.json.gz
Loading a file takes 54.20s
Creating data frames takes 24.73s
Filling data types and values takes 5.52s

 Processing a file takes 13.14s
Concatenating time series takes 0.32s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/12_traj_11792.0.json.gz
Loading a file takes 56.15s
Creating data frames takes 22.83s
Filling data types and values takes 5.70s

 Processing a file takes 11.87s
Concatenating time series takes 0.33s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/13_traj_19450.5.json.gz
Loading a file takes 51.29s
Creating data frames takes 22.15s
Filling data types and values takes 5.39s
/home/weijiang/Projects/Netsanut/scripts/data/simbarca/time_series_from_traj.py:424: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
  df = pd.concat([df, entering, exiting], ignore_index=True, copy=False)

 Processing a file takes 26.05s
Concatenating time series takes 0.17s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/14_traj_end.json.gz
Loading a file takes 34.38s
Creating data frames takes 10.47s
Filling data types and values takes 4.95s

 Processing a file takes 5.75s
Concatenating time series takes 0.09s
Saving all the section time series takes 96.58s
Saving all the junction time series takes 14.86s
Saving network entrance and exit takes 0.10s
Aggregating the raw statistics to different intervals...

  0%|          | 0/1525 [00:00<?, ?it/s]
  0%|          | 1/1525 [00:00<12:49,  1.98it/s]
  0%|          | 2/1525 [00:01<15:34,  1.63it/s]
 11%|β–ˆβ–        | 172/1525 [00:01<00:06, 205.59it/s]
 16%|β–ˆβ–‹        | 249/1525 [00:01<00:05, 215.65it/s]
 20%|β–ˆβ–ˆ        | 305/1525 [00:02<00:12, 96.99it/s] 
 22%|β–ˆβ–ˆβ–       | 342/1525 [00:03<00:10, 112.59it/s]
 25%|β–ˆβ–ˆβ–       | 378/1525 [00:03<00:08, 133.59it/s]
 27%|β–ˆβ–ˆβ–‹       | 416/1525 [00:03<00:06, 159.75it/s]
 30%|β–ˆβ–ˆβ–‰       | 452/1525 [00:03<00:06, 169.06it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 483/1525 [00:03<00:06, 170.62it/s]
 33%|β–ˆβ–ˆβ–ˆβ–Ž      | 510/1525 [00:03<00:05, 171.62it/s]
 35%|β–ˆβ–ˆβ–ˆβ–Œ      | 534/1525 [00:03<00:05, 170.38it/s]
 36%|β–ˆβ–ˆβ–ˆβ–‹      | 556/1525 [00:04<00:05, 165.42it/s]
 38%|β–ˆβ–ˆβ–ˆβ–Š      | 577/1525 [00:04<00:05, 171.35it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 597/1525 [00:04<00:05, 172.94it/s]
 40%|β–ˆβ–ˆβ–ˆβ–ˆ      | 617/1525 [00:04<00:05, 163.07it/s]
 42%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 640/1525 [00:04<00:05, 176.64it/s]
 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 668/1525 [00:04<00:04, 196.45it/s]
 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ     | 689/1525 [00:04<00:04, 198.71it/s]
 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹     | 710/1525 [00:04<00:04, 196.31it/s]
 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š     | 731/1525 [00:05<00:04, 196.37it/s]
 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰     | 752/1525 [00:05<00:03, 195.24it/s]
 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ     | 772/1525 [00:05<00:04, 182.89it/s]
 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 794/1525 [00:05<00:03, 188.72it/s]
 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 817/1525 [00:05<00:03, 199.75it/s]
 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 841/1525 [00:05<00:03, 209.71it/s]
 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 863/1525 [00:05<00:03, 188.01it/s]
 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 888/1525 [00:05<00:03, 202.05it/s]
 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 909/1525 [00:05<00:03, 200.26it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 931/1525 [00:06<00:02, 205.10it/s]
 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 960/1525 [00:06<00:02, 228.74it/s]
 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 987/1525 [00:06<00:02, 237.88it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 1012/1525 [00:06<00:02, 235.29it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 1036/1525 [00:06<00:02, 195.99it/s]
 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 1057/1525 [00:06<00:02, 187.89it/s]
 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 1078/1525 [00:06<00:02, 177.95it/s]
 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1097/1525 [00:06<00:02, 171.20it/s]
 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 1116/1525 [00:07<00:02, 157.21it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 1133/1525 [00:07<00:02, 146.07it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 1165/1525 [00:07<00:01, 182.41it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 1184/1525 [00:07<00:01, 177.21it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 1206/1525 [00:07<00:01, 181.70it/s]
 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 1233/1525 [00:07<00:01, 203.66it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1255/1525 [00:07<00:01, 208.02it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1277/1525 [00:07<00:01, 207.82it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1304/1525 [00:07<00:00, 224.06it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1327/1525 [00:08<00:00, 223.67it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1350/1525 [00:09<00:03, 53.25it/s] 
 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1368/1525 [00:09<00:02, 64.01it/s]
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1392/1525 [00:09<00:01, 79.97it/s]
 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1429/1525 [00:09<00:00, 117.63it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1452/1525 [00:09<00:00, 132.29it/s]
 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1474/1525 [00:09<00:00, 139.98it/s]
 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1503/1525 [00:09<00:00, 168.74it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1525/1525 [00:09<00:00, 152.59it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...