| 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 135181 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/00_traj_1330.0.json.gz |
| Loading a file takes 47.94s |
| Creating data frames takes 22.43s |
| Filling data types and values takes 5.92s |
|
|
| Processing a file takes 17.51s |
| Concatenating time series takes 0.49s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/01_traj_2126.5.json.gz |
| Loading a file takes 52.39s |
| Creating data frames takes 21.07s |
| Filling data types and values takes 5.84s |
|
|
| Processing a file takes 17.74s |
| Concatenating time series takes 0.24s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/02_traj_2861.5.json.gz |
| Loading a file takes 54.32s |
| Creating data frames takes 20.57s |
| Filling data types and values takes 5.88s |
|
|
| Processing a file takes 17.46s |
| Concatenating time series takes 0.29s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/03_traj_3560.0.json.gz |
| Loading a file takes 50.84s |
| Creating data frames takes 19.80s |
| Filling data types and values takes 5.63s |
|
|
| Processing a file takes 17.43s |
| Concatenating time series takes 0.34s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/04_traj_4254.0.json.gz |
| Loading a file takes 54.38s |
| Creating data frames takes 19.14s |
| Filling data types and values takes 5.32s |
|
|
| Processing a file takes 17.91s |
| Concatenating time series takes 0.43s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/05_traj_4945.5.json.gz |
| Loading a file takes 51.75s |
| Creating data frames takes 19.73s |
| Filling data types and values takes 5.12s |
|
|
| Processing a file takes 27.94s |
| Concatenating time series takes 0.41s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/06_traj_5657.5.json.gz |
| Loading a file takes 58.46s |
| Creating data frames takes 20.14s |
| Filling data types and values takes 5.71s |
|
|
| Processing a file takes 24.17s |
| Concatenating time series takes 0.62s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/07_traj_6374.0.json.gz |
| Loading a file takes 56.72s |
| Creating data frames takes 19.35s |
| Filling data types and values takes 5.47s |
|
|
| Processing a file takes 18.80s |
| Concatenating time series takes 0.65s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/08_traj_7082.5.json.gz |
| Loading a file takes 58.29s |
| Creating data frames takes 21.14s |
| Filling data types and values takes 5.69s |
|
|
| Processing a file takes 19.75s |
| Concatenating time series takes 0.69s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/09_traj_end.json.gz |
| Loading a file takes 35.70s |
| Creating data frames takes 10.79s |
| Filling data types and values takes 2.66s |
|
|
| Processing a file takes 15.73s |
| Concatenating time series takes 0.62s |
| Saving all the section time series takes 83.13s |
| Saving all the junction time series takes 11.82s |
| Saving network entrance and exit takes 0.09s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1518 [00:00<?, ?it/s]
0%| | 1/1518 [00:00<11:11, 2.26it/s]
0%| | 3/1518 [00:00<04:00, 6.31it/s]
0%| | 5/1518 [00:02<15:42, 1.60it/s]
20%|██ | 305/1518 [00:02<00:07, 168.31it/s]
28%|██▊ | 423/1518 [00:03<00:05, 188.32it/s]
33%|███▎ | 507/1518 [00:03<00:05, 190.46it/s]
37%|███▋ | 569/1518 [00:04<00:05, 179.15it/s]
41%|████ | 616/1518 [00:04<00:05, 178.96it/s]
43%|████▎ | 654/1518 [00:04<00:04, 180.62it/s]
45%|████▌ | 686/1518 [00:04<00:04, 188.86it/s]
47%|████▋ | 716/1518 [00:04<00:04, 193.83it/s]
49%|████▉ | 743/1518 [00:05<00:04, 190.93it/s]
51%|█████ | 768/1518 [00:05<00:04, 183.39it/s]
52%|█████▏ | 792/1518 [00:05<00:03, 190.60it/s]
54%|█████▎ | 814/1518 [00:05<00:03, 192.55it/s]
55%|█████▌ | 836/1518 [00:05<00:03, 197.69it/s]
57%|█████▋ | 858/1518 [00:05<00:03, 199.37it/s]
58%|█████▊ | 880/1518 [00:05<00:03, 198.56it/s]
59%|█████▉ | 901/1518 [00:05<00:03, 197.07it/s]
61%|██████ | 922/1518 [00:05<00:03, 197.25it/s]
62%|██████▏ | 943/1518 [00:06<00:02, 199.70it/s]
64%|██████▎ | 967/1518 [00:06<00:02, 210.85it/s]
65%|██████▌ | 990/1518 [00:06<00:02, 214.76it/s]
67%|██████▋ | 1012/1518 [00:06<00:02, 210.40it/s]
68%|██████▊ | 1034/1518 [00:06<00:02, 200.51it/s]
69%|██████▉ | 1055/1518 [00:06<00:02, 200.64it/s]
71%|███████ | 1081/1518 [00:06<00:02, 210.21it/s]
73%|███████▎ | 1106/1518 [00:06<00:01, 218.70it/s]
74%|███████▍ | 1128/1518 [00:06<00:01, 203.65it/s]
76%|███████▌ | 1149/1518 [00:07<00:01, 204.98it/s]
77%|███████▋ | 1175/1518 [00:07<00:01, 215.72it/s]
79%|███████▉ | 1197/1518 [00:07<00:01, 215.19it/s]
81%|████████ | 1224/1518 [00:07<00:01, 230.46it/s]
82%|████████▏ | 1250/1518 [00:07<00:01, 237.11it/s]
84%|████████▍ | 1276/1518 [00:07<00:01, 240.17it/s]
86%|████████▌ | 1303/1518 [00:07<00:00, 246.82it/s]
87%|████████▋ | 1328/1518 [00:09<00:03, 51.84it/s]
89%|████████▊ | 1346/1518 [00:09<00:02, 60.93it/s]
90%|████████▉ | 1364/1518 [00:09<00:02, 71.87it/s]
91%|█████████ | 1385/1518 [00:09<00:01, 88.80it/s]
93%|█████████▎| 1414/1518 [00:09<00:00, 118.33it/s]
95%|█████████▍| 1435/1518 [00:09<00:00, 128.25it/s]
96%|█████████▌| 1455/1518 [00:09<00:00, 138.54it/s]
98%|█████████▊| 1481/1518 [00:09<00:00, 160.93it/s]
100%|█████████▉| 1513/1518 [00:09<00:00, 195.99it/s]
100%|██████████| 1518/1518 [00:09<00:00, 152.89it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
|
|
