File size: 8,525 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 132408 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/trajectory/00_traj_1326.0.json.gz
Loading a file takes 51.45s
Creating data frames takes 20.05s
Filling data types and values takes 5.82s
Processing a file takes 17.42s
Concatenating time series takes 0.52s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/trajectory/01_traj_2116.0.json.gz
Loading a file takes 55.86s
Creating data frames takes 30.77s
Filling data types and values takes 5.87s
Processing a file takes 16.46s
Concatenating time series takes 0.29s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/trajectory/02_traj_2866.0.json.gz
Loading a file takes 56.84s
Creating data frames takes 32.20s
Filling data types and values takes 5.82s
Processing a file takes 16.68s
Concatenating time series takes 0.27s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/trajectory/03_traj_3595.5.json.gz
Loading a file takes 55.25s
Creating data frames takes 29.79s
Filling data types and values takes 5.99s
Processing a file takes 18.16s
Concatenating time series takes 0.51s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/trajectory/04_traj_4310.0.json.gz
Loading a file takes 58.19s
Creating data frames takes 23.89s
Filling data types and values takes 5.88s
Processing a file takes 17.96s
Concatenating time series takes 0.40s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/trajectory/05_traj_5028.5.json.gz
Loading a file takes 57.03s
Creating data frames takes 23.20s
Filling data types and values takes 5.94s
Processing a file takes 27.47s
Concatenating time series takes 0.46s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/trajectory/06_traj_5720.0.json.gz
Loading a file takes 59.56s
Creating data frames takes 20.50s
Filling data types and values takes 5.93s
Processing a file takes 22.80s
Concatenating time series takes 0.68s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/trajectory/07_traj_6395.5.json.gz
Loading a file takes 56.12s
Creating data frames takes 21.23s
Filling data types and values takes 5.81s
Processing a file takes 18.37s
Concatenating time series takes 0.57s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/trajectory/08_traj_7045.5.json.gz
Loading a file takes 56.49s
Creating data frames takes 29.89s
Filling data types and values takes 5.85s
Processing a file takes 18.95s
Concatenating time series takes 0.52s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/trajectory/09_traj_8660.5.json.gz
Loading a file takes 70.03s
Creating data frames takes 26.31s
Filling data types and values takes 5.90s
Processing a file takes 18.73s
Concatenating time series takes 0.70s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/trajectory/10_traj_end.json.gz
Loading a file takes 26.96s
Creating data frames takes 8.69s
Filling data types and values takes 2.19s
Processing a file takes 7.55s
Concatenating time series takes 0.16s
Saving all the section time series takes 85.59s
Saving all the junction time series takes 12.64s
Saving network entrance and exit takes 0.13s
Aggregating the raw statistics to different intervals...
0%| | 0/1521 [00:00<?, ?it/s]
0%| | 1/1521 [00:00<10:49, 2.34it/s]
0%| | 7/1521 [00:00<01:39, 15.17it/s]
3%|β | 40/1521 [00:00<00:16, 91.88it/s]
4%|β | 67/1521 [00:00<00:10, 137.12it/s]
6%|β | 95/1521 [00:00<00:08, 175.45it/s]
8%|β | 121/1521 [00:00<00:07, 197.32it/s]
10%|β | 145/1521 [00:01<00:07, 175.14it/s]
11%|β | 166/1521 [00:01<00:08, 162.15it/s]
12%|ββ | 185/1521 [00:01<00:08, 161.04it/s]
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15%|ββ | 231/1521 [00:01<00:06, 184.64it/s]
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24%|βββ | 361/1521 [00:03<00:13, 83.04it/s]
26%|βββ | 396/1521 [00:03<00:09, 112.92it/s]
28%|βββ | 419/1521 [00:03<00:08, 127.48it/s]
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30%|βββ | 463/1521 [00:03<00:06, 156.09it/s]
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42%|βββββ | 636/1521 [00:04<00:04, 178.11it/s]
43%|βββββ | 655/1521 [00:04<00:04, 181.18it/s]
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Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_034/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...
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