| 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 138891 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/00_traj_1314.5.json.gz |
| Loading a file takes 51.86s |
| Creating data frames takes 19.52s |
| Filling data types and values takes 5.86s |
|
|
| Processing a file takes 17.93s |
| Concatenating time series takes 0.41s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/01_traj_2046.0.json.gz |
| Loading a file takes 56.01s |
| Creating data frames takes 24.52s |
| Filling data types and values takes 5.75s |
|
|
| Processing a file takes 16.82s |
| Concatenating time series takes 0.28s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/02_traj_2729.5.json.gz |
| Loading a file takes 54.54s |
| Creating data frames takes 20.22s |
| Filling data types and values takes 5.81s |
|
|
| Processing a file takes 16.42s |
| Concatenating time series takes 0.27s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/03_traj_3424.0.json.gz |
| Loading a file takes 51.42s |
| Creating data frames takes 50.83s |
| Filling data types and values takes 6.22s |
|
|
| Processing a file takes 20.60s |
| Concatenating time series takes 0.79s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/04_traj_4110.0.json.gz |
| Loading a file takes 56.54s |
| Creating data frames takes 24.53s |
| Filling data types and values takes 6.45s |
|
|
| Processing a file takes 20.19s |
| Concatenating time series takes 0.53s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/05_traj_4793.5.json.gz |
| Loading a file takes 56.56s |
| Creating data frames takes 26.72s |
| Filling data types and values takes 6.37s |
|
|
| Processing a file takes 19.24s |
| Concatenating time series takes 0.55s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/06_traj_5455.5.json.gz |
| Loading a file takes 60.95s |
| Creating data frames takes 24.34s |
| Filling data types and values takes 6.18s |
|
|
| Processing a file takes 19.16s |
| Concatenating time series takes 0.64s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/07_traj_6114.0.json.gz |
| Loading a file takes 60.25s |
| Creating data frames takes 24.57s |
| Filling data types and values takes 6.28s |
|
|
| Processing a file takes 19.60s |
| Concatenating time series takes 0.59s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/08_traj_6795.5.json.gz |
| Loading a file takes 61.05s |
| Creating data frames takes 27.27s |
| Filling data types and values takes 7.22s |
|
|
| Processing a file takes 19.96s |
| Concatenating time series takes 0.56s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/09_traj_7841.0.json.gz |
| Loading a file takes 62.91s |
| Creating data frames takes 21.67s |
| Filling data types and values takes 6.22s |
|
|
| Processing a file takes 20.45s |
| Concatenating time series takes 0.65s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/trajectory/10_traj_end.json.gz |
| Loading a file takes 6.72s |
| Creating data frames takes 1.50s |
| Filling data types and values takes 0.20s |
|
|
| Processing a file takes 6.00s |
| Concatenating time series takes 0.19s |
| Saving all the section time series takes 87.67s |
| Saving all the junction time series takes 13.05s |
| Saving network entrance and exit takes 0.10s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1517 [00:00<?, ?it/s]
0%| | 1/1517 [00:00<09:42, 2.60it/s]
0%| | 5/1517 [00:00<02:07, 11.83it/s]
3%|β | 44/1517 [00:00<00:13, 110.82it/s]
5%|β | 72/1517 [00:00<00:09, 152.79it/s]
7%|β | 104/1517 [00:00<00:07, 192.52it/s]
9%|β | 140/1517 [00:00<00:05, 233.12it/s]
11%|β | 167/1517 [00:01<00:05, 233.04it/s]
13%|ββ | 193/1517 [00:01<00:06, 208.98it/s]
15%|ββ | 220/1517 [00:01<00:05, 222.52it/s]
17%|ββ | 252/1517 [00:01<00:05, 245.63it/s]
18%|ββ | 279/1517 [00:01<00:05, 246.10it/s]
20%|ββ | 305/1517 [00:01<00:05, 236.10it/s]
22%|βββ | 330/1517 [00:02<00:17, 67.58it/s]
23%|βββ | 353/1517 [00:02<00:13, 83.36it/s]
26%|βββ | 394/1517 [00:02<00:09, 122.99it/s]
28%|βββ | 420/1517 [00:03<00:08, 135.13it/s]
29%|βββ | 444/1517 [00:03<00:07, 150.42it/s]
31%|βββ | 467/1517 [00:03<00:06, 160.47it/s]
32%|ββββ | 489/1517 [00:03<00:06, 166.07it/s]
34%|ββββ | 510/1517 [00:03<00:05, 173.25it/s]
35%|ββββ | 531/1517 [00:03<00:05, 167.31it/s]
36%|ββββ | 550/1517 [00:03<00:05, 162.81it/s]
37%|ββββ | 568/1517 [00:03<00:06, 156.21it/s]
39%|ββββ | 591/1517 [00:04<00:05, 165.89it/s]
40%|ββββ | 611/1517 [00:04<00:05, 172.49it/s]
42%|βββββ | 634/1517 [00:04<00:04, 184.19it/s]
43%|βββββ | 653/1517 [00:04<00:04, 183.15it/s]
44%|βββββ | 675/1517 [00:04<00:04, 179.51it/s]
46%|βββββ | 700/1517 [00:04<00:04, 191.78it/s]
48%|βββββ | 722/1517 [00:04<00:04, 196.46it/s]
49%|βββββ | 743/1517 [00:04<00:03, 196.62it/s]
50%|βββββ | 763/1517 [00:04<00:03, 188.98it/s]
52%|ββββββ | 783/1517 [00:05<00:04, 183.04it/s]
53%|ββββββ | 806/1517 [00:05<00:03, 185.36it/s]
54%|ββββββ | 826/1517 [00:05<00:03, 185.18it/s]
56%|ββββββ | 849/1517 [00:05<00:03, 192.03it/s]
58%|ββββββ | 874/1517 [00:05<00:03, 207.35it/s]
59%|ββββββ | 895/1517 [00:05<00:03, 206.44it/s]
60%|ββββββ | 916/1517 [00:05<00:02, 205.40it/s]
62%|βββββββ | 937/1517 [00:05<00:02, 198.68it/s]
64%|βββββββ | 964/1517 [00:05<00:02, 218.52it/s]
65%|βββββββ | 990/1517 [00:05<00:02, 224.62it/s]
67%|βββββββ | 1013/1517 [00:06<00:02, 212.62it/s]
68%|βββββββ | 1035/1517 [00:06<00:02, 212.59it/s]
70%|βββββββ | 1057/1517 [00:06<00:02, 209.30it/s]
71%|ββββββββ | 1082/1517 [00:06<00:01, 220.49it/s]
73%|ββββββββ | 1106/1517 [00:06<00:01, 221.85it/s]
74%|ββββββββ | 1129/1517 [00:06<00:01, 221.32it/s]
76%|ββββββββ | 1152/1517 [00:06<00:01, 212.66it/s]
78%|ββββββββ | 1181/1517 [00:06<00:01, 234.18it/s]
79%|ββββββββ | 1205/1517 [00:06<00:01, 215.37it/s]
82%|βββββββββ | 1239/1517 [00:07<00:01, 243.59it/s]
83%|βββββββββ | 1264/1517 [00:07<00:01, 226.12it/s]
85%|βββββββββ | 1291/1517 [00:07<00:00, 236.96it/s]
87%|βββββββββ | 1316/1517 [00:07<00:00, 235.45it/s]
88%|βββββββββ | 1340/1517 [00:07<00:00, 219.55it/s]
90%|βββββββββ | 1363/1517 [00:08<00:02, 55.98it/s]
91%|βββββββββ | 1382/1517 [00:08<00:02, 67.27it/s]
93%|ββββββββββ| 1408/1517 [00:08<00:01, 87.87it/s]
95%|ββββββββββ| 1434/1517 [00:09<00:00, 109.59it/s]
96%|ββββββββββ| 1455/1517 [00:09<00:00, 125.56it/s]
97%|ββββββββββ| 1476/1517 [00:09<00:00, 140.95it/s]
99%|ββββββββββ| 1499/1517 [00:09<00:00, 157.23it/s]
100%|ββββββββββ| 1517/1517 [00:09<00:00, 160.97it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_044/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
|
|