| 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 138256 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/00_traj_1316.5.json.gz |
| Loading a file takes 52.40s |
| Creating data frames takes 25.09s |
| Filling data types and values takes 15.65s |
|
|
| Processing a file takes 18.24s |
| Concatenating time series takes 0.38s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/01_traj_2089.0.json.gz |
| Loading a file takes 56.29s |
| Creating data frames takes 53.34s |
| Filling data types and values takes 5.99s |
|
|
| Processing a file takes 16.99s |
| Concatenating time series takes 0.36s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/02_traj_2808.0.json.gz |
| Loading a file takes 57.98s |
| Creating data frames takes 60.70s |
| Filling data types and values takes 6.41s |
|
|
| Processing a file takes 18.24s |
| Concatenating time series takes 0.34s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/03_traj_3501.5.json.gz |
| Loading a file takes 54.17s |
| Creating data frames takes 57.94s |
| Filling data types and values takes 6.72s |
|
|
| Processing a file takes 18.40s |
| Concatenating time series takes 0.49s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/04_traj_4174.0.json.gz |
| Loading a file takes 59.09s |
| Creating data frames takes 31.29s |
| Filling data types and values takes 6.25s |
|
|
| Processing a file takes 18.56s |
| Concatenating time series takes 0.46s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/05_traj_4842.0.json.gz |
| Loading a file takes 56.04s |
| Creating data frames takes 32.00s |
| Filling data types and values takes 6.56s |
|
|
| Processing a file takes 22.56s |
| Concatenating time series takes 0.56s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/06_traj_5501.5.json.gz |
| Loading a file takes 58.90s |
| Creating data frames takes 25.31s |
| Filling data types and values takes 5.86s |
|
|
| Processing a file takes 28.10s |
| Concatenating time series takes 0.47s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/07_traj_6148.5.json.gz |
| Loading a file takes 57.08s |
| Creating data frames takes 26.10s |
| Filling data types and values takes 6.03s |
|
|
| Processing a file takes 25.90s |
| Concatenating time series takes 0.44s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/08_traj_6786.5.json.gz |
| Loading a file takes 56.85s |
| Creating data frames takes 25.52s |
| Filling data types and values takes 5.77s |
|
|
| Processing a file takes 26.18s |
| Concatenating time series takes 0.43s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/09_traj_7458.5.json.gz |
| Loading a file takes 55.32s |
| Creating data frames takes 25.27s |
| Filling data types and values takes 5.98s |
|
|
| Processing a file takes 23.96s |
| Concatenating time series takes 0.53s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/trajectory/10_traj_end.json.gz |
| Loading a file takes 45.71s |
| Creating data frames takes 15.16s |
| Filling data types and values takes 4.20s |
|
|
| Processing a file takes 14.35s |
| Concatenating time series takes 0.25s |
| Saving all the section time series takes 87.17s |
| Saving all the junction time series takes 12.30s |
| Saving network entrance and exit takes 0.10s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1522 [00:00<?, ?it/s]
0%| | 1/1522 [00:00<12:46, 1.98it/s]
1%| | 8/1522 [00:00<01:29, 16.96it/s]
2%|β | 36/1522 [00:00<00:18, 79.50it/s]
5%|β | 69/1522 [00:00<00:10, 140.08it/s]
7%|β | 103/1522 [00:00<00:07, 189.28it/s]
9%|β | 130/1522 [00:01<00:06, 203.80it/s]
10%|β | 155/1522 [00:01<00:06, 197.34it/s]
12%|ββ | 178/1522 [00:01<00:06, 201.29it/s]
13%|ββ | 201/1522 [00:01<00:06, 203.01it/s]
15%|ββ | 231/1522 [00:01<00:05, 228.11it/s]
17%|ββ | 256/1522 [00:01<00:05, 220.18it/s]
18%|ββ | 280/1522 [00:01<00:05, 223.00it/s]
20%|ββ | 303/1522 [00:01<00:05, 204.81it/s]
21%|βββ | 325/1522 [00:02<00:19, 60.76it/s]
23%|βββ | 352/1522 [00:02<00:14, 80.71it/s]
25%|βββ | 388/1522 [00:03<00:10, 110.31it/s]
28%|βββ | 420/1522 [00:03<00:07, 139.71it/s]
29%|βββ | 444/1522 [00:03<00:06, 154.18it/s]
31%|βββ | 468/1522 [00:03<00:06, 165.57it/s]
32%|ββββ | 491/1522 [00:03<00:06, 162.23it/s]
34%|ββββ | 512/1522 [00:03<00:05, 169.30it/s]
35%|ββββ | 533/1522 [00:03<00:05, 170.74it/s]
36%|ββββ | 553/1522 [00:03<00:05, 168.62it/s]
38%|ββββ | 575/1522 [00:04<00:05, 180.46it/s]
39%|ββββ | 596/1522 [00:04<00:04, 187.61it/s]
41%|ββββ | 617/1522 [00:04<00:04, 192.24it/s]
42%|βββββ | 644/1522 [00:04<00:04, 212.07it/s]
44%|βββββ | 671/1522 [00:04<00:03, 225.51it/s]
46%|βββββ | 699/1522 [00:04<00:03, 236.99it/s]
48%|βββββ | 724/1522 [00:04<00:03, 239.64it/s]
49%|βββββ | 749/1522 [00:04<00:03, 232.26it/s]
51%|βββββ | 773/1522 [00:04<00:03, 228.28it/s]
52%|ββββββ | 796/1522 [00:05<00:03, 214.68it/s]
54%|ββββββ | 824/1522 [00:05<00:03, 230.99it/s]
56%|ββββββ | 850/1522 [00:05<00:02, 238.13it/s]
58%|ββββββ | 878/1522 [00:05<00:02, 248.33it/s]
59%|ββββββ | 904/1522 [00:05<00:02, 237.65it/s]
61%|ββββββ | 929/1522 [00:05<00:02, 222.24it/s]
64%|βββββββ | 969/1522 [00:05<00:02, 263.26it/s]
65%|βββββββ | 996/1522 [00:05<00:02, 261.39it/s]
67%|βββββββ | 1023/1522 [00:05<00:01, 257.61it/s]
69%|βββββββ | 1049/1522 [00:06<00:01, 245.05it/s]
71%|βββββββ | 1074/1522 [00:06<00:01, 233.61it/s]
72%|ββββββββ | 1098/1522 [00:06<00:02, 206.53it/s]
74%|ββββββββ | 1120/1522 [00:06<00:01, 205.20it/s]
75%|ββββββββ | 1141/1522 [00:06<00:01, 199.26it/s]
76%|ββββββββ | 1162/1522 [00:06<00:01, 193.28it/s]
78%|ββββββββ | 1182/1522 [00:06<00:01, 190.33it/s]
79%|ββββββββ | 1208/1522 [00:06<00:01, 206.84it/s]
81%|βββββββββ | 1239/1522 [00:06<00:01, 228.54it/s]
83%|βββββββββ | 1269/1522 [00:07<00:01, 248.08it/s]
85%|βββββββββ | 1295/1522 [00:07<00:00, 244.22it/s]
87%|βββββββββ | 1320/1522 [00:07<00:00, 241.02it/s]
88%|βββββββββ | 1345/1522 [00:07<00:00, 219.59it/s]
90%|βββββββββ | 1368/1522 [00:08<00:02, 58.35it/s]
91%|βββββββββ | 1387/1522 [00:08<00:01, 69.44it/s]
93%|ββββββββββ| 1411/1522 [00:08<00:01, 88.73it/s]
94%|ββββββββββ| 1436/1522 [00:08<00:00, 110.16it/s]
96%|ββββββββββ| 1457/1522 [00:08<00:00, 125.04it/s]
97%|ββββββββββ| 1478/1522 [00:09<00:00, 140.45it/s]
99%|ββββββββββ| 1500/1522 [00:09<00:00, 154.26it/s]
100%|ββββββββββ| 1522/1522 [00:09<00:00, 165.04it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_027/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
|
|