| 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 125739 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/00_traj_1329.0.json.gz |
| Loading a file takes 52.82s |
| Creating data frames takes 26.63s |
| Filling data types and values takes 35.71s |
|
|
| Processing a file takes 23.79s |
| Concatenating time series takes 0.58s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/01_traj_2217.0.json.gz |
| Loading a file takes 55.30s |
| Creating data frames takes 38.13s |
| Filling data types and values takes 6.09s |
|
|
| Processing a file takes 17.58s |
| Concatenating time series takes 0.29s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/02_traj_3106.0.json.gz |
| Loading a file takes 53.53s |
| Creating data frames takes 37.04s |
| Filling data types and values takes 5.67s |
|
|
| Processing a file takes 18.79s |
| Concatenating time series takes 0.38s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/03_traj_3983.0.json.gz |
| Loading a file takes 54.74s |
| Creating data frames takes 31.05s |
| Filling data types and values takes 5.67s |
|
|
| Processing a file takes 18.40s |
| Concatenating time series takes 0.43s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/04_traj_4834.0.json.gz |
| Loading a file takes 56.30s |
| Creating data frames takes 24.46s |
| Filling data types and values takes 5.70s |
|
|
| Processing a file takes 19.21s |
| Concatenating time series takes 0.40s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/05_traj_5684.0.json.gz |
| Loading a file takes 56.58s |
| Creating data frames takes 29.37s |
| Filling data types and values takes 5.72s |
|
|
| Processing a file takes 33.41s |
| Concatenating time series takes 0.51s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/06_traj_6511.0.json.gz |
| Loading a file takes 60.52s |
| Creating data frames takes 39.77s |
| Filling data types and values takes 6.97s |
|
|
| Processing a file takes 31.55s |
| Concatenating time series takes 0.60s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/07_traj_7400.0.json.gz |
| Loading a file takes 64.79s |
| Creating data frames takes 32.67s |
| Filling data types and values takes 6.06s |
|
|
| Processing a file takes 20.59s |
| Concatenating time series takes 0.84s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/trajectory/08_traj_end.json.gz |
| Loading a file takes 7.93s |
| Creating data frames takes 2.43s |
| Filling data types and values takes 0.37s |
|
|
| Processing a file takes 9.30s |
| Concatenating time series takes 0.38s |
| Saving all the section time series takes 80.15s |
| Saving all the junction time series takes 11.01s |
| Saving network entrance and exit takes 0.09s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1516 [00:00<?, ?it/s]
0%| | 1/1516 [00:00<10:52, 2.32it/s]
0%| | 2/1516 [00:00<08:23, 3.01it/s]
5%|▌ | 83/1516 [00:00<00:08, 159.70it/s]
8%|▊ | 118/1516 [00:00<00:07, 196.43it/s]
10%|▉ | 150/1516 [00:01<00:06, 197.61it/s]
12%|█▏ | 178/1516 [00:01<00:06, 196.42it/s]
13%|█▎ | 203/1516 [00:01<00:06, 188.99it/s]
15%|█▍ | 226/1516 [00:01<00:06, 190.26it/s]
17%|█▋ | 252/1516 [00:01<00:06, 200.22it/s]
18%|█▊ | 279/1516 [00:01<00:05, 216.03it/s]
20%|██ | 305/1516 [00:01<00:05, 226.02it/s]
22%|██▏ | 329/1516 [00:02<00:19, 60.80it/s]
23%|██▎ | 353/1516 [00:03<00:15, 76.34it/s]
26%|██▌ | 395/1516 [00:03<00:09, 115.14it/s]
28%|██▊ | 420/1516 [00:03<00:08, 127.06it/s]
29%|██▉ | 445/1516 [00:03<00:07, 144.82it/s]
31%|███ | 470/1516 [00:03<00:06, 159.31it/s]
33%|███▎ | 493/1516 [00:03<00:06, 163.75it/s]
34%|███▍ | 515/1516 [00:03<00:05, 167.09it/s]
35%|███▌ | 536/1516 [00:03<00:05, 168.13it/s]
37%|███▋ | 556/1516 [00:04<00:05, 165.21it/s]
38%|███▊ | 576/1516 [00:04<00:05, 173.12it/s]
39%|███▉ | 597/1516 [00:04<00:05, 180.66it/s]
41%|████ | 617/1516 [00:04<00:04, 185.70it/s]
42%|████▏ | 638/1516 [00:04<00:04, 190.13it/s]
43%|████▎ | 658/1516 [00:04<00:04, 187.53it/s]
45%|████▍ | 678/1516 [00:04<00:04, 184.70it/s]
46%|████▌ | 697/1516 [00:04<00:04, 182.77it/s]
47%|████▋ | 716/1516 [00:04<00:04, 183.77it/s]
48%|████▊ | 735/1516 [00:04<00:04, 177.11it/s]
50%|████▉ | 754/1516 [00:05<00:04, 180.31it/s]
51%|█████ | 773/1516 [00:05<00:04, 170.74it/s]
52%|█████▏ | 795/1516 [00:05<00:03, 182.25it/s]
54%|█████▍ | 815/1516 [00:05<00:03, 187.22it/s]
55%|█████▌ | 840/1516 [00:05<00:03, 194.76it/s]
57%|█████▋ | 866/1516 [00:05<00:03, 210.68it/s]
59%|█████▉ | 891/1516 [00:05<00:02, 217.72it/s]
60%|██████ | 913/1516 [00:05<00:02, 204.46it/s]
62%|██████▏ | 935/1516 [00:05<00:02, 206.25it/s]
64%|██████▍ | 969/1516 [00:06<00:02, 241.75it/s]
66%|██████▌ | 994/1516 [00:06<00:02, 242.54it/s]
67%|██████▋ | 1022/1516 [00:06<00:01, 249.39it/s]
69%|██████▉ | 1048/1516 [00:06<00:01, 249.23it/s]
71%|███████ | 1075/1516 [00:06<00:01, 253.09it/s]
73%|███████▎ | 1103/1516 [00:06<00:01, 254.36it/s]
74%|███████▍ | 1129/1516 [00:06<00:01, 235.37it/s]
76%|███████▌ | 1155/1516 [00:06<00:01, 240.15it/s]
79%|███████▊ | 1191/1516 [00:06<00:01, 270.95it/s]
80%|████████ | 1219/1516 [00:07<00:01, 234.96it/s]
83%|████████▎ | 1251/1516 [00:07<00:01, 255.07it/s]
84%|████████▍ | 1281/1516 [00:07<00:00, 265.99it/s]
86%|████████▋ | 1309/1516 [00:07<00:00, 262.61it/s]
88%|████████▊ | 1336/1516 [00:07<00:00, 248.40it/s]
90%|████████▉ | 1362/1516 [00:08<00:02, 57.32it/s]
91%|█████████▏| 1384/1516 [00:09<00:01, 69.76it/s]
93%|█████████▎| 1406/1516 [00:09<00:01, 84.45it/s]
94%|█████████▍| 1427/1516 [00:09<00:00, 100.19it/s]
95%|█████████▌| 1447/1516 [00:09<00:00, 110.01it/s]
97%|█████████▋| 1476/1516 [00:09<00:00, 140.80it/s]
99%|█████████▉| 1501/1516 [00:09<00:00, 161.51it/s]
100%|██████████| 1516/1516 [00:09<00:00, 158.15it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_028/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
|
|
