| 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 105089 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/00_traj_1396.5.json.gz |
| Loading a file takes 52.01s |
| Creating data frames takes 19.48s |
| Filling data types and values takes 5.86s |
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|
| Processing a file takes 18.50s |
| Concatenating time series takes 0.47s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/01_traj_2491.0.json.gz |
| Loading a file takes 56.96s |
| Creating data frames takes 20.86s |
| Filling data types and values takes 5.90s |
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|
| Processing a file takes 17.74s |
| Concatenating time series takes 0.33s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/02_traj_3569.0.json.gz |
| Loading a file takes 58.80s |
| Creating data frames takes 20.50s |
| Filling data types and values takes 5.64s |
|
|
| Processing a file takes 17.32s |
| Concatenating time series takes 0.38s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/03_traj_4640.0.json.gz |
| Loading a file takes 48.18s |
| Creating data frames takes 18.40s |
| Filling data types and values takes 5.25s |
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|
| Processing a file takes 16.36s |
| Concatenating time series takes 0.42s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/04_traj_5700.5.json.gz |
| Loading a file takes 49.91s |
| Creating data frames takes 18.19s |
| Filling data types and values takes 5.25s |
|
|
| Processing a file takes 17.43s |
| Concatenating time series takes 0.50s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/05_traj_6772.5.json.gz |
| Loading a file takes 50.41s |
| Creating data frames takes 23.17s |
| Filling data types and values takes 6.14s |
|
|
| Processing a file takes 19.27s |
| Concatenating time series takes 0.71s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/trajectory/06_traj_end.json.gz |
| Loading a file takes 31.35s |
| Creating data frames takes 18.66s |
| Filling data types and values takes 3.32s |
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|
| Processing a file takes 16.35s |
| Concatenating time series takes 0.74s |
| Saving all the section time series takes 74.41s |
| Saving all the junction time series takes 10.06s |
| Saving network entrance and exit takes 0.07s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1517 [00:00<?, ?it/s]
0%| | 1/1517 [00:00<10:37, 2.38it/s]
2%|β | 26/1517 [00:00<00:23, 63.53it/s]
4%|β | 63/1517 [00:00<00:10, 141.53it/s]
7%|β | 103/1517 [00:00<00:06, 208.73it/s]
9%|β | 136/1517 [00:00<00:05, 234.27it/s]
11%|β | 166/1517 [00:00<00:05, 232.29it/s]
13%|ββ | 194/1517 [00:01<00:05, 235.68it/s]
15%|ββ | 221/1517 [00:01<00:05, 233.07it/s]
17%|ββ | 255/1517 [00:01<00:04, 258.65it/s]
19%|ββ | 283/1517 [00:01<00:04, 262.30it/s]
21%|ββ | 311/1517 [00:01<00:04, 260.53it/s]
22%|βββ | 338/1517 [00:02<00:14, 78.69it/s]
25%|βββ | 379/1517 [00:02<00:10, 113.42it/s]
28%|βββ | 418/1517 [00:02<00:07, 148.24it/s]
29%|βββ | 447/1517 [00:02<00:06, 165.88it/s]
31%|ββββ | 475/1517 [00:02<00:05, 178.05it/s]
33%|ββββ | 501/1517 [00:03<00:05, 178.48it/s]
35%|ββββ | 525/1517 [00:03<00:05, 181.66it/s]
36%|ββββ | 548/1517 [00:03<00:05, 174.89it/s]
38%|ββββ | 569/1517 [00:03<00:05, 177.42it/s]
39%|ββββ | 592/1517 [00:03<00:04, 188.83it/s]
40%|ββββ | 613/1517 [00:03<00:04, 192.29it/s]
42%|βββββ | 638/1517 [00:03<00:04, 207.27it/s]
44%|βββββ | 662/1517 [00:03<00:03, 214.39it/s]
45%|βββββ | 686/1517 [00:03<00:03, 221.12it/s]
47%|βββββ | 710/1517 [00:04<00:03, 221.90it/s]
48%|βββββ | 733/1517 [00:04<00:03, 222.75it/s]
50%|βββββ | 756/1517 [00:04<00:03, 213.68it/s]
51%|ββββββ | 778/1517 [00:04<00:03, 207.12it/s]
53%|ββββββ | 799/1517 [00:04<00:03, 204.24it/s]
54%|ββββββ | 825/1517 [00:04<00:03, 219.00it/s]
56%|ββββββ | 852/1517 [00:04<00:02, 231.01it/s]
58%|ββββββ | 876/1517 [00:04<00:02, 229.84it/s]
59%|ββββββ | 900/1517 [00:04<00:02, 231.70it/s]
61%|ββββββ | 924/1517 [00:05<00:02, 225.16it/s]
63%|βββββββ | 955/1517 [00:05<00:02, 247.90it/s]
65%|βββββββ | 983/1517 [00:05<00:02, 248.17it/s]
67%|βββββββ | 1009/1517 [00:05<00:02, 249.68it/s]
68%|βββββββ | 1035/1517 [00:05<00:01, 250.88it/s]
70%|βββββββ | 1062/1517 [00:05<00:01, 252.18it/s]
72%|ββββββββ | 1092/1517 [00:05<00:01, 265.31it/s]
74%|ββββββββ | 1119/1517 [00:05<00:01, 254.99it/s]
76%|ββββββββ | 1148/1517 [00:05<00:01, 264.31it/s]
78%|ββββββββ | 1178/1517 [00:05<00:01, 273.23it/s]
79%|ββββββββ | 1206/1517 [00:06<00:01, 270.81it/s]
81%|βββββββββ | 1236/1517 [00:06<00:01, 275.93it/s]
83%|βββββββββ | 1264/1517 [00:06<00:00, 274.12it/s]
85%|βββββββββ | 1292/1517 [00:06<00:00, 256.05it/s]
88%|βββββββββ | 1328/1517 [00:06<00:00, 280.76it/s]
89%|βββββββββ | 1357/1517 [00:06<00:00, 261.68it/s]
91%|βββββββββ | 1384/1517 [00:07<00:01, 71.65it/s]
93%|ββββββββββ| 1406/1517 [00:07<00:01, 85.63it/s]
94%|ββββββββββ| 1431/1517 [00:07<00:00, 105.19it/s]
96%|ββββββββββ| 1457/1517 [00:08<00:00, 127.26it/s]
98%|ββββββββββ| 1484/1517 [00:08<00:00, 149.16it/s]
100%|ββββββββββ| 1517/1517 [00:08<00:00, 183.65it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_000/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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