File size: 6,059 Bytes
baa3847 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | 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 113141 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_010/trajectory/00_traj_1404.0.json.gz
Loading a file takes 53.58s
Creating data frames takes 19.90s
Filling data types and values takes 6.09s
Processing a file takes 19.43s
Concatenating time series takes 0.47s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_010/trajectory/01_traj_2401.0.json.gz
Loading a file takes 60.01s
Creating data frames takes 22.21s
Filling data types and values takes 5.85s
Processing a file takes 19.38s
Concatenating time series takes 0.32s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_010/trajectory/02_traj_3383.5.json.gz
Loading a file takes 61.03s
Creating data frames takes 21.04s
Filling data types and values takes 5.86s
Processing a file takes 19.64s
Concatenating time series takes 0.42s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_010/trajectory/03_traj_4376.0.json.gz
Loading a file takes 57.11s
Creating data frames takes 21.39s
Filling data types and values takes 5.86s
Processing a file takes 18.58s
Concatenating time series takes 0.52s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_010/trajectory/04_traj_5355.0.json.gz
Loading a file takes 59.59s
Creating data frames takes 25.18s
Filling data types and values takes 5.89s
Processing a file takes 19.71s
Concatenating time series takes 0.49s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_010/trajectory/05_traj_6319.5.json.gz
Loading a file takes 57.08s
Creating data frames takes 21.56s
Filling data types and values takes 5.70s
Processing a file takes 22.80s
Concatenating time series takes 0.56s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_010/trajectory/06_traj_7324.5.json.gz
Loading a file takes 58.97s
Creating data frames takes 19.92s
Filling data types and values takes 5.60s
Processing a file takes 19.12s
Concatenating time series takes 0.76s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_010/trajectory/07_traj_end.json.gz
Loading a file takes 8.59s
Creating data frames takes 2.57s
Filling data types and values takes 0.44s
Processing a file takes 9.84s
Concatenating time series takes 0.64s
Saving all the section time series takes 73.71s
Saving all the junction time series takes 10.00s
Saving network entrance and exit takes 0.08s
Aggregating the raw statistics to different intervals...
0%| | 0/1520 [00:00<?, ?it/s]
0%| | 1/1520 [00:00<10:28, 2.42it/s]
0%| | 5/1520 [00:00<02:10, 11.64it/s]
1%| | 8/1520 [00:02<09:56, 2.54it/s]
20%|ββ | 305/1520 [00:02<00:07, 163.46it/s]
27%|βββ | 416/1520 [00:03<00:05, 192.50it/s]
33%|ββββ | 497/1520 [00:03<00:05, 188.74it/s]
37%|ββββ | 557/1520 [00:04<00:05, 184.27it/s]
40%|ββββ | 603/1520 [00:04<00:04, 188.00it/s]
42%|βββββ | 641/1520 [00:04<00:04, 196.84it/s]
44%|βββββ | 675/1520 [00:04<00:04, 201.29it/s]
46%|βββββ | 706/1520 [00:04<00:04, 194.52it/s]
48%|βββββ | 733/1520 [00:04<00:04, 185.86it/s]
50%|βββββ | 756/1520 [00:05<00:04, 190.50it/s]
51%|ββββββ | 779/1520 [00:05<00:03, 190.72it/s]
53%|ββββββ | 804/1520 [00:05<00:03, 200.31it/s]
54%|ββββββ | 827/1520 [00:05<00:03, 199.67it/s]
56%|ββββββ | 853/1520 [00:05<00:03, 207.23it/s]
58%|ββββββ | 875/1520 [00:05<00:03, 202.20it/s]
59%|ββββββ | 902/1520 [00:05<00:02, 211.28it/s]
61%|ββββββ | 924/1520 [00:05<00:02, 200.86it/s]
62%|βββββββ | 945/1520 [00:05<00:02, 199.13it/s]
64%|βββββββ | 978/1520 [00:06<00:02, 233.79it/s]
66%|βββββββ | 1003/1520 [00:06<00:02, 218.70it/s]
68%|βββββββ | 1026/1520 [00:06<00:02, 214.01it/s]
69%|βββββββ | 1048/1520 [00:06<00:02, 213.83it/s]
71%|βββββββ | 1078/1520 [00:06<00:01, 236.50it/s]
73%|ββββββββ | 1103/1520 [00:06<00:01, 217.76it/s]
74%|ββββββββ | 1126/1520 [00:06<00:01, 205.51it/s]
76%|ββββββββ | 1155/1520 [00:06<00:01, 224.88it/s]
78%|ββββββββ | 1182/1520 [00:06<00:01, 229.79it/s]
79%|ββββββββ | 1206/1520 [00:07<00:01, 226.54it/s]
81%|ββββββββ | 1229/1520 [00:07<00:01, 226.07it/s]
82%|βββββββββ | 1252/1520 [00:07<00:01, 224.03it/s]
84%|βββββββββ | 1281/1520 [00:07<00:01, 234.03it/s]
86%|βββββββββ | 1311/1520 [00:07<00:00, 251.85it/s]
88%|βββββββββ | 1337/1520 [00:08<00:03, 59.24it/s]
89%|βββββββββ | 1359/1520 [00:08<00:02, 71.92it/s]
91%|βββββββββ | 1378/1520 [00:08<00:01, 84.00it/s]
92%|ββββββββββ| 1399/1520 [00:09<00:01, 98.90it/s]
93%|ββββββββββ| 1421/1520 [00:09<00:00, 117.96it/s]
95%|ββββββββββ| 1447/1520 [00:09<00:00, 135.71it/s]
97%|ββββββββββ| 1470/1520 [00:09<00:00, 151.15it/s]
98%|ββββββββββ| 1490/1520 [00:09<00:00, 157.91it/s]
100%|ββββββββββ| 1520/1520 [00:09<00:00, 158.17it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_010/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...
|