| INFO: Pandarallel will run on 8 workers. |
| INFO: Pandarallel will use Memory file system to transfer data between the main process and workers. |
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| Selecting 5.0% vehicles from 130058 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/00_traj_1331.5.json.gz |
| Loading a file takes 49.94s |
| Creating data frames takes 24.42s |
| Filling data types and values takes 8.24s |
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|
| Processing a file takes 18.03s |
| Concatenating time series takes 0.38s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/01_traj_2165.0.json.gz |
| Loading a file takes 55.44s |
| Creating data frames takes 58.93s |
| Filling data types and values takes 6.85s |
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| Processing a file takes 18.01s |
| Concatenating time series takes 0.28s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/02_traj_2963.5.json.gz |
| Loading a file takes 55.97s |
| Creating data frames takes 28.46s |
| Filling data types and values takes 5.92s |
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|
| Processing a file takes 19.31s |
| Concatenating time series takes 0.26s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/03_traj_3743.0.json.gz |
| Loading a file takes 57.02s |
| Creating data frames takes 30.44s |
| Filling data types and values takes 5.87s |
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| Processing a file takes 17.63s |
| Concatenating time series takes 0.41s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/04_traj_4513.5.json.gz |
| Loading a file takes 51.68s |
| Creating data frames takes 27.72s |
| Filling data types and values takes 5.50s |
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|
| Processing a file takes 18.44s |
| Concatenating time series takes 0.43s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/05_traj_5280.0.json.gz |
| Loading a file takes 46.68s |
| Creating data frames takes 42.14s |
| Filling data types and values takes 6.99s |
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|
| Processing a file takes 27.71s |
| Concatenating time series takes 0.44s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/06_traj_6030.5.json.gz |
| Loading a file takes 48.92s |
| Creating data frames takes 41.64s |
| Filling data types and values takes 6.04s |
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|
| Processing a file takes 22.30s |
| Concatenating time series takes 0.53s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/07_traj_6799.0.json.gz |
| Loading a file takes 56.95s |
| Creating data frames takes 33.51s |
| Filling data types and values takes 6.00s |
|
|
| Processing a file takes 18.87s |
| Concatenating time series takes 0.72s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/trajectory/08_traj_end.json.gz |
| Loading a file takes 47.73s |
| Creating data frames takes 21.07s |
| Filling data types and values takes 5.07s |
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|
| Processing a file takes 18.32s |
| Concatenating time series takes 0.51s |
| Saving all the section time series takes 81.02s |
| Saving all the junction time series takes 11.24s |
| Saving network entrance and exit takes 0.09s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1519 [00:00<?, ?it/s]
0%| | 1/1519 [00:00<09:23, 2.70it/s]
2%|β | 24/1519 [00:00<00:23, 63.69it/s]
4%|β | 66/1519 [00:00<00:09, 161.27it/s]
6%|β | 97/1519 [00:00<00:07, 199.40it/s]
9%|β | 136/1519 [00:00<00:05, 251.29it/s]
11%|β | 167/1519 [00:00<00:05, 239.89it/s]
13%|ββ | 195/1519 [00:01<00:05, 246.24it/s]
15%|ββ | 223/1519 [00:01<00:05, 247.95it/s]
17%|ββ | 257/1519 [00:01<00:04, 267.25it/s]
19%|ββ | 287/1519 [00:01<00:04, 256.70it/s]
21%|ββ | 315/1519 [00:02<00:14, 83.79it/s]
23%|βββ | 348/1519 [00:02<00:10, 110.28it/s]
25%|βββ | 385/1519 [00:02<00:07, 145.03it/s]
27%|βββ | 413/1519 [00:02<00:06, 165.54it/s]
29%|βββ | 441/1519 [00:02<00:05, 185.03it/s]
31%|βββ | 469/1519 [00:02<00:05, 198.72it/s]
33%|ββββ | 496/1519 [00:02<00:05, 196.97it/s]
34%|ββββ | 521/1519 [00:03<00:05, 199.60it/s]
36%|ββββ | 545/1519 [00:03<00:05, 186.45it/s]
37%|ββββ | 566/1519 [00:03<00:05, 172.69it/s]
39%|ββββ | 592/1519 [00:03<00:04, 188.31it/s]
40%|ββββ | 613/1519 [00:03<00:04, 182.98it/s]
42%|βββββ | 638/1519 [00:03<00:04, 198.19it/s]
44%|βββββ | 663/1519 [00:03<00:04, 207.18it/s]
45%|βββββ | 688/1519 [00:03<00:04, 207.69it/s]
47%|βββββ | 714/1519 [00:04<00:03, 219.50it/s]
49%|βββββ | 737/1519 [00:04<00:03, 220.43it/s]
50%|βββββ | 760/1519 [00:04<00:03, 211.38it/s]
51%|ββββββ | 782/1519 [00:04<00:03, 195.84it/s]
53%|ββββββ | 805/1519 [00:04<00:03, 201.78it/s]
55%|ββββββ | 830/1519 [00:04<00:03, 211.40it/s]
56%|ββββββ | 856/1519 [00:04<00:03, 215.97it/s]
58%|ββββββ | 878/1519 [00:04<00:02, 217.04it/s]
59%|ββββββ | 900/1519 [00:04<00:03, 206.07it/s]
61%|ββββββ | 921/1519 [00:05<00:02, 200.61it/s]
62%|βββββββ | 942/1519 [00:05<00:02, 198.48it/s]
63%|βββββββ | 963/1519 [00:05<00:02, 200.38it/s]
65%|βββββββ | 984/1519 [00:05<00:02, 193.40it/s]
67%|βββββββ | 1011/1519 [00:05<00:02, 207.98it/s]
68%|βββββββ | 1032/1519 [00:05<00:02, 207.88it/s]
69%|βββββββ | 1053/1519 [00:05<00:02, 203.80it/s]
71%|βββββββ | 1076/1519 [00:05<00:02, 209.12it/s]
72%|ββββββββ | 1100/1519 [00:05<00:01, 213.51it/s]
74%|ββββββββ | 1122/1519 [00:06<00:02, 196.21it/s]
75%|ββββββββ | 1142/1519 [00:06<00:01, 195.50it/s]
77%|ββββββββ | 1171/1519 [00:06<00:01, 219.09it/s]
79%|ββββββββ | 1198/1519 [00:06<00:01, 232.11it/s]
81%|ββββββββ | 1227/1519 [00:06<00:01, 245.44it/s]
83%|βββββββββ | 1258/1519 [00:06<00:00, 263.24it/s]
85%|βββββββββ | 1287/1519 [00:06<00:00, 265.80it/s]
87%|βββββββββ | 1314/1519 [00:06<00:00, 264.52it/s]
88%|βββββββββ | 1341/1519 [00:06<00:00, 243.66it/s]
90%|βββββββββ | 1366/1519 [00:08<00:02, 53.70it/s]
91%|βββββββββ | 1384/1519 [00:08<00:02, 62.82it/s]
93%|ββββββββββ| 1411/1519 [00:08<00:01, 83.27it/s]
94%|ββββββββββ| 1431/1519 [00:08<00:00, 94.57it/s]
95%|ββββββββββ| 1450/1519 [00:08<00:00, 107.20it/s]
97%|ββββββββββ| 1476/1519 [00:08<00:00, 132.29it/s]
99%|ββββββββββ| 1497/1519 [00:08<00:00, 146.46it/s]
100%|ββββββββββ| 1519/1519 [00:09<00:00, 167.89it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_029/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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