SimBarca / simulation_sessions /session_013 /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 122851 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_013/trajectory/00_traj_1351.5.json.gz
Loading a file takes 49.14s
Creating data frames takes 25.17s
Filling data types and values takes 6.05s
Processing a file takes 17.69s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_013/trajectory/01_traj_2224.0.json.gz
Loading a file takes 57.89s
Creating data frames takes 31.56s
Filling data types and values takes 6.08s
Processing a file takes 18.50s
Concatenating time series takes 0.27s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_013/trajectory/02_traj_3083.0.json.gz
Loading a file takes 61.49s
Creating data frames takes 26.87s
Filling data types and values takes 5.72s
Processing a file takes 18.57s
Concatenating time series takes 0.35s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_013/trajectory/03_traj_3952.0.json.gz
Loading a file takes 50.07s
Creating data frames takes 22.54s
Filling data types and values takes 5.05s
Processing a file takes 18.75s
Concatenating time series takes 0.49s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_013/trajectory/04_traj_4851.0.json.gz
Loading a file takes 49.73s
Creating data frames takes 18.87s
Filling data types and values takes 5.11s
Processing a file takes 17.40s
Concatenating time series takes 0.46s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_013/trajectory/05_traj_5743.5.json.gz
Loading a file takes 44.87s
Creating data frames takes 19.10s
Filling data types and values takes 5.08s
Processing a file takes 34.75s
Concatenating time series takes 0.44s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_013/trajectory/06_traj_6631.0.json.gz
Loading a file takes 58.30s
Creating data frames takes 24.53s
Filling data types and values takes 5.83s
Processing a file takes 19.18s
Concatenating time series takes 0.80s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_013/trajectory/07_traj_end.json.gz
Loading a file takes 51.98s
Creating data frames takes 18.12s
Filling data types and values takes 5.17s
Processing a file takes 18.52s
Concatenating time series takes 0.80s
Saving all the section time series takes 79.75s
Saving all the junction time series takes 11.10s
Saving network entrance and exit takes 0.08s
Aggregating the raw statistics to different intervals...
0%| | 0/1515 [00:00<?, ?it/s] 0%| | 1/1515 [00:00<09:43, 2.59it/s] 2%|▏ | 29/1515 [00:00<00:19, 77.38it/s] 4%|▍ | 63/1515 [00:00<00:09, 148.53it/s] 6%|β–‹ | 95/1515 [00:00<00:07, 190.12it/s] 8%|β–Š | 124/1515 [00:00<00:06, 215.02it/s] 10%|β–‰ | 151/1515 [00:00<00:06, 201.26it/s] 12%|β–ˆβ– | 175/1515 [00:01<00:06, 202.07it/s] 13%|β–ˆβ–Ž | 198/1515 [00:01<00:06, 206.61it/s] 15%|β–ˆβ– | 226/1515 [00:01<00:05, 225.09it/s] 17%|β–ˆβ–‹ | 254/1515 [00:01<00:05, 234.90it/s] 19%|β–ˆβ–Š | 283/1515 [00:01<00:05, 244.40it/s] 21%|β–ˆβ–ˆ | 320/1515 [00:01<00:04, 274.69it/s] 23%|β–ˆβ–ˆβ–Ž | 349/1515 [00:02<00:12, 89.78it/s] 26%|β–ˆβ–ˆβ–Œ | 393/1515 [00:02<00:08, 129.58it/s] 28%|β–ˆβ–ˆβ–Š | 421/1515 [00:02<00:07, 144.33it/s] 30%|β–ˆβ–ˆβ–‰ | 450/1515 [00:02<00:06, 167.26it/s] 31%|β–ˆβ–ˆβ–ˆβ– | 477/1515 [00:02<00:05, 175.72it/s] 33%|β–ˆβ–ˆβ–ˆβ–Ž | 502/1515 [00:03<00:05, 179.63it/s] 35%|β–ˆβ–ˆβ–ˆβ– | 525/1515 [00:03<00:05, 185.77it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 548/1515 [00:03<00:05, 178.32it/s] 38%|β–ˆβ–ˆβ–ˆβ–Š | 570/1515 [00:03<00:05, 185.92it/s] 39%|β–ˆβ–ˆβ–ˆβ–‰ | 591/1515 [00:03<00:05, 184.50it/s] 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 611/1515 [00:03<00:05, 180.28it/s] 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 633/1515 [00:03<00:04, 189.75it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 656/1515 [00:03<00:04, 197.68it/s] 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 683/1515 [00:03<00:04, 205.16it/s] 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 711/1515 [00:04<00:03, 222.59it/s] 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 734/1515 [00:04<00:03, 223.39it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 757/1515 [00:04<00:03, 224.09it/s] 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 780/1515 [00:04<00:03, 225.56it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 803/1515 [00:04<00:03, 217.67it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 832/1515 [00:04<00:02, 236.55it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 860/1515 [00:04<00:02, 244.07it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 889/1515 [00:04<00:02, 253.06it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 915/1515 [00:04<00:02, 218.73it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 943/1515 [00:05<00:02, 234.15it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 969/1515 [00:05<00:02, 240.18it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 994/1515 [00:05<00:02, 230.32it/s] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1019/1515 [00:05<00:02, 229.98it/s] 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1044/1515 [00:05<00:02, 231.81it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1068/1515 [00:05<00:01, 228.91it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1097/1515 [00:05<00:01, 244.85it/s] 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1122/1515 [00:05<00:01, 240.20it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1147/1515 [00:05<00:01, 232.21it/s] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1171/1515 [00:06<00:01, 230.94it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1195/1515 [00:06<00:01, 222.98it/s] 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1221/1515 [00:06<00:01, 231.22it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 1252/1515 [00:06<00:01, 250.90it/s] 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 1281/1515 [00:06<00:00, 259.69it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 1310/1515 [00:06<00:00, 265.86it/s] 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1337/1515 [00:06<00:00, 244.35it/s] 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 1363/1515 [00:07<00:02, 72.05it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1382/1515 [00:07<00:01, 83.88it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1408/1515 [00:07<00:01, 105.54it/s] 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 1429/1515 [00:08<00:00, 119.50it/s] 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 1449/1515 [00:08<00:00, 133.69it/s] 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 1472/1515 [00:08<00:00, 150.39it/s] 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 1493/1515 [00:08<00:00, 162.73it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1515/1515 [00:08<00:00, 180.52it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_013/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...