File size: 6,793 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 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | 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 140504 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/trajectory/00_traj_1302.0.json.gz
Loading a file takes 48.82s
Creating data frames takes 19.64s
Filling data types and values takes 5.61s
Processing a file takes 18.23s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/trajectory/01_traj_2043.5.json.gz
Loading a file takes 48.38s
Creating data frames takes 30.89s
Filling data types and values takes 5.61s
Processing a file takes 16.49s
Concatenating time series takes 0.26s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/trajectory/02_traj_2750.0.json.gz
Loading a file takes 47.98s
Creating data frames takes 30.94s
Filling data types and values takes 5.42s
Processing a file takes 16.54s
Concatenating time series takes 0.28s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/trajectory/03_traj_3436.0.json.gz
Loading a file takes 47.43s
Creating data frames takes 32.23s
Filling data types and values takes 5.35s
Processing a file takes 16.67s
Concatenating time series takes 0.36s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/trajectory/04_traj_4108.5.json.gz
Loading a file takes 54.63s
Creating data frames takes 32.13s
Filling data types and values takes 6.06s
Processing a file takes 18.42s
Concatenating time series takes 0.43s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/trajectory/05_traj_4768.5.json.gz
Loading a file takes 53.77s
Creating data frames takes 23.53s
Filling data types and values takes 5.83s
Processing a file takes 17.53s
Concatenating time series takes 0.53s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/trajectory/06_traj_5424.0.json.gz
Loading a file takes 57.74s
Creating data frames takes 23.70s
Filling data types and values takes 5.73s
Processing a file takes 17.37s
Concatenating time series takes 0.62s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/trajectory/07_traj_6081.0.json.gz
Loading a file takes 59.15s
Creating data frames takes 22.56s
Filling data types and values takes 6.01s
Processing a file takes 18.11s
Concatenating time series takes 0.63s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/trajectory/08_traj_6733.0.json.gz
Loading a file takes 56.54s
Creating data frames takes 20.58s
Filling data types and values takes 5.86s
Processing a file takes 18.09s
Concatenating time series takes 0.52s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/trajectory/09_traj_7476.5.json.gz
Loading a file takes 62.23s
Creating data frames takes 20.49s
Filling data types and values takes 6.01s
Processing a file takes 19.36s
Concatenating time series takes 0.69s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/trajectory/10_traj_end.json.gz
Loading a file takes 12.34s
Creating data frames takes 4.15s
Filling data types and values takes 0.90s
Processing a file takes 10.67s
Concatenating time series takes 0.28s
Saving all the section time series takes 86.27s
Saving all the junction time series takes 12.66s
Saving network entrance and exit takes 0.10s
Aggregating the raw statistics to different intervals...
0%| | 0/1521 [00:00<?, ?it/s]
0%| | 1/1521 [00:02<1:11:25, 2.82s/it]
20%|ββ | 309/1521 [00:02<00:08, 148.78it/s]
32%|ββββ | 488/1521 [00:03<00:05, 177.16it/s]
39%|ββββ | 596/1521 [00:04<00:05, 169.25it/s]
44%|βββββ | 668/1521 [00:04<00:04, 173.98it/s]
47%|βββββ | 721/1521 [00:05<00:04, 175.65it/s]
50%|βββββ | 762/1521 [00:05<00:04, 176.67it/s]
52%|ββββββ | 796/1521 [00:05<00:04, 171.57it/s]
54%|ββββββ | 824/1521 [00:05<00:03, 174.32it/s]
56%|ββββββ | 849/1521 [00:05<00:03, 182.75it/s]
57%|ββββββ | 874/1521 [00:05<00:03, 183.84it/s]
59%|ββββββ | 897/1521 [00:06<00:03, 185.52it/s]
60%|ββββββ | 919/1521 [00:06<00:03, 186.08it/s]
62%|βββββββ | 940/1521 [00:06<00:03, 188.12it/s]
63%|βββββββ | 965/1521 [00:06<00:02, 200.05it/s]
65%|βββββββ | 992/1521 [00:06<00:02, 210.92it/s]
67%|βββββββ | 1015/1521 [00:06<00:02, 208.31it/s]
68%|βββββββ | 1037/1521 [00:06<00:02, 204.71it/s]
70%|βββββββ | 1059/1521 [00:06<00:02, 199.15it/s]
71%|βββββββ | 1080/1521 [00:06<00:02, 196.27it/s]
72%|ββββββββ | 1101/1521 [00:07<00:02, 199.70it/s]
74%|ββββββββ | 1122/1521 [00:07<00:02, 194.26it/s]
75%|ββββββββ | 1146/1521 [00:07<00:01, 205.65it/s]
77%|ββββββββ | 1171/1521 [00:07<00:01, 210.20it/s]
78%|ββββββββ | 1193/1521 [00:07<00:01, 201.32it/s]
80%|ββββββββ | 1214/1521 [00:07<00:01, 188.66it/s]
82%|βββββββββ | 1240/1521 [00:07<00:01, 204.37it/s]
83%|βββββββββ | 1261/1521 [00:07<00:01, 197.55it/s]
85%|βββββββββ | 1294/1521 [00:07<00:00, 229.15it/s]
87%|βββββββββ | 1318/1521 [00:08<00:00, 225.17it/s]
88%|βββββββββ | 1341/1521 [00:09<00:03, 49.34it/s]
90%|βββββββββ | 1364/1521 [00:09<00:02, 63.31it/s]
91%|βββββββββ | 1382/1521 [00:09<00:01, 74.43it/s]
92%|ββββββββββ| 1404/1521 [00:09<00:01, 92.36it/s]
94%|ββββββββββ| 1423/1521 [00:09<00:00, 104.59it/s]
95%|ββββββββββ| 1445/1521 [00:09<00:00, 120.39it/s]
96%|ββββββββββ| 1467/1521 [00:10<00:00, 137.18it/s]
98%|ββββββββββ| 1491/1521 [00:10<00:00, 156.94it/s]
99%|ββββββββββ| 1512/1521 [00:10<00:00, 166.31it/s]
100%|ββββββββββ| 1521/1521 [00:10<00:00, 147.35it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_043/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...
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