| 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 118679 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/00_traj_1363.0.json.gz |
| Loading a file takes 48.66s |
| Creating data frames takes 28.64s |
| Filling data types and values takes 7.30s |
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|
| Processing a file takes 17.07s |
| Concatenating time series takes 0.43s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/01_traj_2303.5.json.gz |
| Loading a file takes 56.62s |
| Creating data frames takes 27.06s |
| Filling data types and values takes 5.87s |
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| Processing a file takes 18.72s |
| Concatenating time series takes 0.30s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/02_traj_3234.0.json.gz |
| Loading a file takes 57.86s |
| Creating data frames takes 32.15s |
| Filling data types and values takes 5.78s |
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|
| Processing a file takes 18.28s |
| Concatenating time series takes 0.31s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/03_traj_4141.5.json.gz |
| Loading a file takes 55.54s |
| Creating data frames takes 21.80s |
| Filling data types and values takes 5.78s |
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| Processing a file takes 19.75s |
| Concatenating time series takes 0.46s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/04_traj_5032.0.json.gz |
| Loading a file takes 58.91s |
| Creating data frames takes 24.43s |
| Filling data types and values takes 5.77s |
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|
| Processing a file takes 19.19s |
| Concatenating time series takes 0.57s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/05_traj_5910.5.json.gz |
| Loading a file takes 55.02s |
| Creating data frames takes 22.09s |
| Filling data types and values takes 5.78s |
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|
| Processing a file takes 30.02s |
| Concatenating time series takes 0.52s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/06_traj_6802.0.json.gz |
| Loading a file takes 60.15s |
| Creating data frames takes 25.41s |
| Filling data types and values takes 6.88s |
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|
| Processing a file takes 20.39s |
| Concatenating time series takes 0.67s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/trajectory/07_traj_end.json.gz |
| Loading a file takes 37.79s |
| Creating data frames takes 16.70s |
| Filling data types and values takes 3.99s |
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|
| Processing a file takes 16.90s |
| Concatenating time series takes 0.76s |
| Saving all the section time series takes 78.02s |
| Saving all the junction time series takes 10.69s |
| Saving network entrance and exit takes 0.08s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1517 [00:00<?, ?it/s]
0%| | 1/1517 [00:00<11:01, 2.29it/s]
1%|β | 21/1517 [00:00<00:30, 49.18it/s]
4%|β | 56/1517 [00:00<00:11, 125.21it/s]
6%|β | 94/1517 [00:00<00:07, 187.78it/s]
9%|β | 132/1517 [00:00<00:05, 237.54it/s]
11%|β | 163/1517 [00:00<00:05, 235.56it/s]
13%|ββ | 191/1517 [00:01<00:05, 236.31it/s]
14%|ββ | 218/1517 [00:01<00:05, 238.76it/s]
16%|ββ | 245/1517 [00:01<00:05, 238.33it/s]
18%|ββ | 271/1517 [00:01<00:05, 242.60it/s]
20%|ββ | 297/1517 [00:01<00:05, 235.17it/s]
21%|ββ | 322/1517 [00:04<00:38, 30.88it/s]
22%|βββ | 340/1517 [00:04<00:31, 37.78it/s]
24%|βββ | 359/1517 [00:04<00:24, 47.36it/s]
26%|βββ | 398/1517 [00:04<00:14, 75.02it/s]
28%|βββ | 421/1517 [00:04<00:12, 89.35it/s]
29%|βββ | 447/1517 [00:04<00:09, 111.15it/s]
31%|βββ | 470/1517 [00:04<00:08, 127.31it/s]
32%|ββββ | 493/1517 [00:04<00:07, 130.26it/s]
34%|ββββ | 517/1517 [00:05<00:06, 149.58it/s]
35%|ββββ | 538/1517 [00:05<00:06, 154.48it/s]
37%|ββββ | 558/1517 [00:05<00:06, 149.39it/s]
38%|ββββ | 577/1517 [00:05<00:05, 158.35it/s]
39%|ββββ | 597/1517 [00:05<00:05, 167.58it/s]
41%|ββββ | 616/1517 [00:05<00:05, 172.43it/s]
42%|βββββ | 635/1517 [00:05<00:05, 166.65it/s]
44%|βββββ | 661/1517 [00:05<00:04, 186.96it/s]
45%|βββββ | 681/1517 [00:05<00:04, 184.48it/s]
46%|βββββ | 704/1517 [00:06<00:04, 179.51it/s]
48%|βββββ | 725/1517 [00:06<00:04, 187.37it/s]
49%|βββββ | 745/1517 [00:06<00:04, 183.91it/s]
50%|βββββ | 764/1517 [00:06<00:04, 179.87it/s]
52%|ββββββ | 783/1517 [00:06<00:04, 180.60it/s]
53%|ββββββ | 802/1517 [00:06<00:03, 181.07it/s]
54%|ββββββ | 821/1517 [00:06<00:03, 179.81it/s]
55%|ββββββ | 840/1517 [00:06<00:03, 178.44it/s]
57%|ββββββ | 864/1517 [00:06<00:03, 191.58it/s]
58%|ββββββ | 884/1517 [00:07<00:03, 185.61it/s]
60%|ββββββ | 904/1517 [00:07<00:03, 178.39it/s]
61%|ββββββ | 923/1517 [00:07<00:03, 180.34it/s]
62%|βββββββ | 943/1517 [00:07<00:03, 183.51it/s]
64%|βββββββ | 970/1517 [00:07<00:02, 200.42it/s]
66%|βββββββ | 1000/1517 [00:07<00:02, 224.50it/s]
67%|βββββββ | 1023/1517 [00:07<00:02, 201.80it/s]
69%|βββββββ | 1047/1517 [00:07<00:02, 211.46it/s]
70%|βββββββ | 1069/1517 [00:07<00:02, 208.50it/s]
72%|ββββββββ | 1094/1517 [00:08<00:02, 209.47it/s]
74%|ββββββββ | 1121/1517 [00:08<00:01, 224.81it/s]
76%|ββββββββ | 1151/1517 [00:08<00:01, 243.67it/s]
78%|ββββββββ | 1178/1517 [00:08<00:01, 250.09it/s]
79%|ββββββββ | 1204/1517 [00:08<00:01, 252.34it/s]
81%|ββββββββ | 1230/1517 [00:08<00:01, 248.57it/s]
83%|βββββββββ | 1258/1517 [00:08<00:01, 250.47it/s]
85%|βββββββββ | 1284/1517 [00:08<00:00, 243.65it/s]
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88%|βββββββββ | 1333/1517 [00:09<00:00, 216.95it/s]
89%|βββββββββ | 1355/1517 [00:09<00:00, 209.24it/s]
91%|βββββββββ | 1377/1517 [00:11<00:04, 33.79it/s]
92%|ββββββββββ| 1401/1517 [00:11<00:02, 45.05it/s]
94%|ββββββββββ| 1426/1517 [00:11<00:01, 60.21it/s]
95%|ββββββββββ| 1446/1517 [00:11<00:00, 73.16it/s]
97%|ββββββββββ| 1467/1517 [00:11<00:00, 88.08it/s]
98%|ββββββββββ| 1488/1517 [00:11<00:00, 104.35it/s]
100%|ββββββββββ| 1517/1517 [00:11<00:00, 127.22it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_007/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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