| 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 114134 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/00_traj_1361.0.json.gz |
| Loading a file takes 52.26s |
| Creating data frames takes 21.01s |
| Filling data types and values takes 5.85s |
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|
| Processing a file takes 18.56s |
| Concatenating time series takes 0.41s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/01_traj_2303.5.json.gz |
| Loading a file takes 56.75s |
| Creating data frames takes 23.42s |
| Filling data types and values takes 5.79s |
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| Processing a file takes 17.91s |
| Concatenating time series takes 0.28s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/02_traj_3225.0.json.gz |
| Loading a file takes 57.80s |
| Creating data frames takes 23.80s |
| Filling data types and values takes 5.68s |
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|
| Processing a file takes 18.84s |
| Concatenating time series takes 0.68s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/03_traj_4114.0.json.gz |
| Loading a file takes 52.72s |
| Creating data frames takes 24.84s |
| Filling data types and values takes 5.78s |
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| Processing a file takes 18.83s |
| Concatenating time series takes 0.49s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/04_traj_4981.0.json.gz |
| Loading a file takes 54.83s |
| Creating data frames takes 19.89s |
| Filling data types and values takes 5.65s |
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|
| Processing a file takes 17.76s |
| Concatenating time series takes 0.47s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/05_traj_5812.5.json.gz |
| Loading a file takes 51.76s |
| Creating data frames takes 32.06s |
| Filling data types and values takes 5.62s |
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|
| Processing a file takes 23.34s |
| Concatenating time series takes 0.68s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/06_traj_6647.0.json.gz |
| Loading a file takes 55.15s |
| Creating data frames takes 25.14s |
| Filling data types and values takes 5.24s |
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|
| Processing a file takes 26.05s |
| Concatenating time series takes 0.41s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/07_traj_7724.5.json.gz |
| Loading a file takes 52.68s |
| Creating data frames takes 32.36s |
| Filling data types and values takes 5.64s |
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|
| Processing a file takes 18.56s |
| Concatenating time series takes 0.66s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/trajectory/08_traj_end.json.gz |
| Loading a file takes 14.51s |
| Creating data frames takes 5.42s |
| Filling data types and values takes 1.14s |
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|
| Processing a file takes 7.70s |
| Concatenating time series takes 0.28s |
| Saving all the section time series takes 77.25s |
| Saving all the junction time series takes 10.32s |
| Saving network entrance and exit takes 0.07s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1521 [00:00<?, ?it/s]
0%| | 1/1521 [00:00<09:45, 2.60it/s]
1%|β | 21/1521 [00:00<00:26, 55.74it/s]
3%|β | 46/1521 [00:00<00:13, 108.25it/s]
5%|β | 82/1521 [00:00<00:08, 173.84it/s]
7%|β | 112/1521 [00:00<00:06, 208.48it/s]
9%|β | 138/1521 [00:00<00:06, 200.98it/s]
11%|β | 162/1521 [00:01<00:06, 205.48it/s]
12%|ββ | 187/1521 [00:01<00:06, 213.46it/s]
14%|ββ | 219/1521 [00:01<00:05, 241.27it/s]
17%|ββ | 252/1521 [00:01<00:04, 260.58it/s]
18%|ββ | 280/1521 [00:01<00:05, 246.65it/s]
20%|ββ | 306/1521 [00:01<00:04, 244.64it/s]
22%|βββ | 332/1521 [00:02<00:15, 77.11it/s]
25%|βββ | 378/1521 [00:02<00:09, 118.66it/s]
27%|βββ | 417/1521 [00:02<00:07, 154.90it/s]
29%|βββ | 448/1521 [00:02<00:06, 174.36it/s]
31%|ββββ | 477/1521 [00:02<00:05, 184.93it/s]
33%|ββββ | 504/1521 [00:03<00:05, 185.37it/s]
35%|ββββ | 529/1521 [00:03<00:05, 184.41it/s]
36%|ββββ | 552/1521 [00:03<00:05, 175.55it/s]
38%|ββββ | 573/1521 [00:03<00:05, 177.39it/s]
39%|ββββ | 593/1521 [00:03<00:05, 175.76it/s]
40%|ββββ | 612/1521 [00:03<00:05, 178.19it/s]
42%|βββββ | 636/1521 [00:03<00:04, 193.86it/s]
43%|βββββ | 658/1521 [00:03<00:04, 197.37it/s]
45%|βββββ | 679/1521 [00:04<00:04, 198.09it/s]
46%|βββββ | 704/1521 [00:04<00:03, 210.23it/s]
48%|βββββ | 726/1521 [00:04<00:03, 211.11it/s]
49%|βββββ | 748/1521 [00:04<00:03, 210.19it/s]
51%|βββββ | 770/1521 [00:04<00:03, 195.09it/s]
52%|ββββββ | 793/1521 [00:04<00:03, 202.29it/s]
54%|ββββββ | 819/1521 [00:04<00:03, 214.29it/s]
56%|ββββββ | 845/1521 [00:04<00:03, 224.25it/s]
57%|ββββββ | 868/1521 [00:04<00:02, 220.66it/s]
59%|ββββββ | 900/1521 [00:05<00:02, 243.93it/s]
61%|ββββββ | 925/1521 [00:05<00:02, 243.84it/s]
63%|βββββββ | 958/1521 [00:05<00:02, 268.29it/s]
65%|βββββββ | 988/1521 [00:05<00:02, 257.66it/s]
67%|βββββββ | 1020/1521 [00:05<00:01, 258.32it/s]
69%|βββββββ | 1048/1521 [00:05<00:01, 261.95it/s]
71%|βββββββ | 1076/1521 [00:05<00:01, 265.46it/s]
73%|ββββββββ | 1103/1521 [00:05<00:01, 264.50it/s]
74%|ββββββββ | 1130/1521 [00:05<00:01, 260.64it/s]
76%|ββββββββ | 1160/1521 [00:05<00:01, 270.92it/s]
78%|ββββββββ | 1190/1521 [00:06<00:01, 278.04it/s]
80%|ββββββββ | 1218/1521 [00:06<00:01, 263.11it/s]
82%|βββββββββ | 1250/1521 [00:06<00:00, 278.25it/s]
84%|βββββββββ | 1279/1521 [00:06<00:00, 281.39it/s]
86%|βββββββββ | 1310/1521 [00:06<00:00, 285.27it/s]
88%|βββββββββ | 1339/1521 [00:06<00:00, 275.13it/s]
90%|βββββββββ | 1367/1521 [00:07<00:02, 70.12it/s]
92%|ββββββββββ| 1394/1521 [00:07<00:01, 87.85it/s]
93%|ββββββββββ| 1420/1521 [00:07<00:00, 107.90it/s]
95%|ββββββββββ| 1444/1521 [00:08<00:00, 126.22it/s]
96%|ββββββββββ| 1467/1521 [00:08<00:00, 141.51it/s]
98%|ββββββββββ| 1490/1521 [00:08<00:00, 158.39it/s]
100%|ββββββββββ| 1521/1521 [00:08<00:00, 182.00it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_014/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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