SimBarca / simulation_sessions /session_006 /processing_log.log
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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 123453 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/00_traj_1339.0.json.gz
Loading a file takes 48.04s
Creating data frames takes 23.19s
Filling data types and values takes 5.96s
Processing a file takes 17.59s
Concatenating time series takes 0.48s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/01_traj_2231.0.json.gz
Loading a file takes 55.03s
Creating data frames takes 25.62s
Filling data types and values takes 5.82s
Processing a file takes 17.85s
Concatenating time series takes 0.26s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/02_traj_3082.0.json.gz
Loading a file takes 53.98s
Creating data frames takes 25.08s
Filling data types and values takes 5.90s
Processing a file takes 18.37s
Concatenating time series takes 0.30s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/03_traj_3910.0.json.gz
Loading a file takes 49.95s
Creating data frames takes 21.73s
Filling data types and values takes 5.55s
Processing a file takes 17.91s
Concatenating time series takes 0.46s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/04_traj_4738.5.json.gz
Loading a file takes 55.81s
Creating data frames takes 23.78s
Filling data types and values takes 5.93s
Processing a file takes 18.20s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/05_traj_5544.0.json.gz
Loading a file takes 52.65s
Creating data frames takes 24.94s
Filling data types and values takes 5.91s
Processing a file takes 30.06s
Concatenating time series takes 0.58s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/06_traj_6324.5.json.gz
Loading a file takes 56.65s
Creating data frames takes 22.08s
Filling data types and values takes 6.52s
Processing a file takes 23.42s
Concatenating time series takes 0.69s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/07_traj_7089.0.json.gz
Loading a file takes 62.96s
Creating data frames takes 25.13s
Filling data types and values takes 6.09s
Processing a file takes 19.23s
Concatenating time series takes 0.83s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/trajectory/08_traj_end.json.gz
Loading a file takes 42.02s
Creating data frames takes 23.87s
Filling data types and values takes 5.09s
Processing a file takes 33.40s
Concatenating time series takes 0.40s
Saving all the section time series takes 81.31s
Saving all the junction time series takes 11.36s
Saving network entrance and exit takes 0.09s
Aggregating the raw statistics to different intervals...
0%| | 0/1520 [00:00<?, ?it/s] 0%| | 1/1520 [00:00<13:24, 1.89it/s] 1%| | 16/1520 [00:00<00:47, 31.71it/s] 3%|β–Ž | 43/1520 [00:00<00:17, 84.70it/s] 5%|▍ | 75/1520 [00:00<00:10, 140.37it/s] 7%|β–‹ | 110/1520 [00:00<00:07, 193.26it/s] 9%|β–‰ | 137/1520 [00:01<00:07, 183.57it/s] 11%|β–ˆ | 161/1520 [00:01<00:07, 173.25it/s] 12%|β–ˆβ– | 184/1520 [00:01<00:07, 184.27it/s] 13%|β–ˆβ–Ž | 205/1520 [00:01<00:07, 186.23it/s] 15%|β–ˆβ– | 227/1520 [00:01<00:06, 193.19it/s] 17%|β–ˆβ–‹ | 255/1520 [00:01<00:05, 211.27it/s] 18%|β–ˆβ–Š | 278/1520 [00:01<00:06, 202.43it/s] 20%|β–ˆβ–ˆ | 305/1520 [00:01<00:05, 219.88it/s] 22%|β–ˆβ–ˆβ– | 328/1520 [00:02<00:18, 64.26it/s] 23%|β–ˆβ–ˆβ–Ž | 354/1520 [00:03<00:13, 83.56it/s] 26%|β–ˆβ–ˆβ–Œ | 398/1520 [00:03<00:08, 127.50it/s] 28%|β–ˆβ–ˆβ–Š | 425/1520 [00:03<00:07, 147.62it/s] 30%|β–ˆβ–ˆβ–‰ | 451/1520 [00:03<00:06, 164.60it/s] 31%|β–ˆβ–ˆβ–ˆβ– | 476/1520 [00:03<00:06, 173.06it/s] 33%|β–ˆβ–ˆβ–ˆβ–Ž | 500/1520 [00:03<00:05, 181.55it/s] 34%|β–ˆβ–ˆβ–ˆβ– | 523/1520 [00:03<00:05, 182.81it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 545/1520 [00:03<00:05, 178.83it/s] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 566/1520 [00:03<00:05, 178.43it/s] 39%|β–ˆβ–ˆβ–ˆβ–Š | 587/1520 [00:04<00:05, 185.52it/s] 40%|β–ˆβ–ˆβ–ˆβ–‰ | 607/1520 [00:04<00:04, 183.26it/s] 41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 629/1520 [00:04<00:04, 190.86it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 658/1520 [00:04<00:04, 214.73it/s] 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 684/1520 [00:04<00:03, 226.31it/s] 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 709/1520 [00:04<00:03, 230.89it/s] 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 733/1520 [00:04<00:03, 230.65it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 757/1520 [00:04<00:03, 219.38it/s] 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 780/1520 [00:04<00:03, 216.60it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 803/1520 [00:05<00:03, 219.00it/s] 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 826/1520 [00:05<00:03, 202.38it/s] 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 850/1520 [00:05<00:03, 211.66it/s] 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 876/1520 [00:05<00:02, 223.81it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 899/1520 [00:05<00:02, 220.31it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 922/1520 [00:05<00:02, 222.67it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 945/1520 [00:05<00:02, 223.19it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 978/1520 [00:05<00:02, 250.24it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1004/1520 [00:05<00:02, 249.17it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1029/1520 [00:06<00:02, 226.87it/s] 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1054/1520 [00:06<00:01, 233.19it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1079/1520 [00:06<00:01, 237.10it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1105/1520 [00:06<00:01, 240.49it/s] 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1130/1520 [00:06<00:01, 233.88it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1154/1520 [00:06<00:01, 228.51it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1185/1520 [00:06<00:01, 249.73it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1211/1520 [00:06<00:01, 246.67it/s] 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1243/1520 [00:06<00:01, 266.70it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1270/1520 [00:06<00:00, 263.33it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1301/1520 [00:07<00:00, 272.82it/s] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1329/1520 [00:07<00:00, 256.97it/s] 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1357/1520 [00:07<00:00, 257.63it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1383/1520 [00:08<00:01, 70.15it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1408/1520 [00:08<00:01, 87.66it/s] 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1435/1520 [00:08<00:00, 109.27it/s] 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1458/1520 [00:08<00:00, 125.07it/s] 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1480/1520 [00:08<00:00, 136.45it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1520/1520 [00:08<00:00, 170.57it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_006/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...