| 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 133633 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/00_traj_1327.0.json.gz |
| Loading a file takes 56.53s |
| Creating data frames takes 31.58s |
| Filling data types and values takes 5.98s |
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| Processing a file takes 18.71s |
| Concatenating time series takes 0.43s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/01_traj_2096.0.json.gz |
| Loading a file takes 55.78s |
| Creating data frames takes 22.65s |
| Filling data types and values takes 6.26s |
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| Processing a file takes 18.12s |
| Concatenating time series takes 0.27s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/02_traj_2839.0.json.gz |
| Loading a file takes 53.95s |
| Creating data frames takes 20.32s |
| Filling data types and values takes 5.71s |
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| Processing a file takes 16.87s |
| Concatenating time series takes 0.33s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/03_traj_3544.0.json.gz |
| Loading a file takes 49.45s |
| Creating data frames takes 26.80s |
| Filling data types and values takes 5.20s |
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| Processing a file takes 15.95s |
| Concatenating time series takes 0.33s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/04_traj_4219.5.json.gz |
| Loading a file takes 48.80s |
| Creating data frames takes 20.45s |
| Filling data types and values takes 5.30s |
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| Processing a file takes 16.54s |
| Concatenating time series takes 0.40s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/05_traj_4911.5.json.gz |
| Loading a file takes 46.42s |
| Creating data frames takes 19.62s |
| Filling data types and values takes 5.69s |
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| Processing a file takes 25.90s |
| Concatenating time series takes 0.37s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/06_traj_5598.0.json.gz |
| Loading a file takes 52.79s |
| Creating data frames takes 21.96s |
| Filling data types and values takes 5.50s |
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| Processing a file takes 25.97s |
| Concatenating time series takes 0.50s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/07_traj_6263.0.json.gz |
| Loading a file takes 59.76s |
| Creating data frames takes 25.20s |
| Filling data types and values takes 5.79s |
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|
| Processing a file takes 18.82s |
| Concatenating time series takes 0.71s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/08_traj_6897.5.json.gz |
| Loading a file takes 60.56s |
| Creating data frames takes 25.92s |
| Filling data types and values takes 5.88s |
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|
| Processing a file takes 18.52s |
| Concatenating time series takes 0.45s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/09_traj_7746.0.json.gz |
| Loading a file takes 56.50s |
| Creating data frames takes 22.38s |
| Filling data types and values takes 5.80s |
|
|
| Processing a file takes 18.62s |
| Concatenating time series takes 0.73s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/trajectory/10_traj_end.json.gz |
| Loading a file takes 37.27s |
| Creating data frames takes 13.30s |
| Filling data types and values takes 3.68s |
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| Processing a file takes 11.39s |
| Concatenating time series takes 0.23s |
| Saving all the section time series takes 83.79s |
| Saving all the junction time series takes 11.68s |
| Saving network entrance and exit takes 0.08s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1522 [00:00<?, ?it/s]
0%| | 1/1522 [00:00<15:02, 1.69it/s]
2%|β | 30/1522 [00:00<00:26, 56.01it/s]
3%|β | 52/1522 [00:00<00:16, 89.87it/s]
5%|β | 75/1522 [00:00<00:11, 121.46it/s]
7%|β | 112/1522 [00:01<00:07, 177.14it/s]
9%|β | 137/1522 [00:01<00:07, 187.86it/s]
11%|β | 161/1522 [00:01<00:07, 190.05it/s]
12%|ββ | 186/1522 [00:01<00:06, 201.17it/s]
14%|ββ | 209/1522 [00:01<00:06, 192.09it/s]
16%|ββ | 240/1522 [00:01<00:05, 222.12it/s]
17%|ββ | 264/1522 [00:01<00:05, 215.29it/s]
19%|ββ | 287/1522 [00:01<00:06, 184.23it/s]
20%|ββ | 307/1522 [00:02<00:06, 183.46it/s]
21%|βββ | 327/1522 [00:02<00:20, 57.93it/s]
23%|βββ | 352/1522 [00:03<00:15, 76.28it/s]
26%|βββ | 396/1522 [00:03<00:09, 121.24it/s]
28%|βββ | 424/1522 [00:03<00:07, 143.79it/s]
30%|βββ | 451/1522 [00:03<00:06, 164.60it/s]
31%|ββββ | 477/1522 [00:03<00:06, 172.89it/s]
33%|ββββ | 501/1522 [00:03<00:05, 180.51it/s]
34%|ββββ | 524/1522 [00:03<00:05, 180.94it/s]
36%|ββββ | 546/1522 [00:03<00:05, 186.78it/s]
37%|ββββ | 568/1522 [00:04<00:05, 175.25it/s]
39%|ββββ | 590/1522 [00:04<00:05, 176.29it/s]
40%|ββββ | 611/1522 [00:04<00:04, 184.41it/s]
42%|βββββ | 635/1522 [00:04<00:04, 197.57it/s]
43%|βββββ | 659/1522 [00:04<00:04, 208.37it/s]
45%|βββββ | 682/1522 [00:04<00:03, 210.91it/s]
47%|βββββ | 709/1522 [00:04<00:03, 224.87it/s]
48%|βββββ | 732/1522 [00:04<00:03, 220.49it/s]
50%|βββββ | 755/1522 [00:04<00:03, 206.67it/s]
51%|ββββββ | 782/1522 [00:05<00:03, 214.81it/s]
53%|ββββββ | 804/1522 [00:05<00:03, 211.27it/s]
54%|ββββββ | 826/1522 [00:05<00:03, 205.94it/s]
56%|ββββββ | 847/1522 [00:05<00:03, 204.26it/s]
57%|ββββββ | 868/1522 [00:05<00:03, 204.96it/s]
59%|ββββββ | 891/1522 [00:05<00:02, 211.91it/s]
60%|ββββββ | 913/1522 [00:05<00:02, 211.47it/s]
61%|βββββββ | 935/1522 [00:05<00:02, 211.80it/s]
63%|βββββββ | 961/1522 [00:05<00:02, 224.78it/s]
65%|βββββββ | 987/1522 [00:05<00:02, 228.32it/s]
66%|βββββββ | 1010/1522 [00:06<00:02, 224.67it/s]
68%|βββββββ | 1033/1522 [00:06<00:02, 220.04it/s]
70%|βββββββ | 1062/1522 [00:06<00:01, 233.14it/s]
72%|ββββββββ | 1090/1522 [00:06<00:01, 241.00it/s]
73%|ββββββββ | 1115/1522 [00:06<00:01, 240.80it/s]
75%|ββββββββ | 1140/1522 [00:06<00:01, 218.23it/s]
77%|ββββββββ | 1166/1522 [00:06<00:01, 228.54it/s]
78%|ββββββββ | 1191/1522 [00:06<00:01, 230.99it/s]
80%|ββββββββ | 1215/1522 [00:06<00:01, 226.87it/s]
81%|βββββββββ | 1240/1522 [00:07<00:01, 224.04it/s]
83%|βββββββββ | 1270/1522 [00:07<00:01, 236.18it/s]
86%|βββββββββ | 1304/1522 [00:07<00:00, 254.54it/s]
87%|βββββββββ | 1330/1522 [00:07<00:00, 241.24it/s]
89%|βββββββββ | 1355/1522 [00:07<00:00, 240.39it/s]
91%|βββββββββ | 1380/1522 [00:08<00:01, 71.89it/s]
92%|ββββββββββ| 1401/1522 [00:08<00:01, 85.00it/s]
93%|ββββββββββ| 1423/1522 [00:08<00:00, 101.90it/s]
95%|ββββββββββ| 1443/1522 [00:08<00:00, 116.10it/s]
96%|ββββββββββ| 1462/1522 [00:08<00:00, 126.14it/s]
98%|ββββββββββ| 1484/1522 [00:09<00:00, 144.18it/s]
100%|ββββββββββ| 1522/1522 [00:09<00:00, 166.37it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_038/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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