| 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 124355 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/00_traj_1339.5.json.gz |
| Loading a file takes 51.95s |
| Creating data frames takes 23.88s |
| Filling data types and values takes 7.66s |
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| Processing a file takes 18.65s |
| Concatenating time series takes 0.60s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/01_traj_2224.0.json.gz |
| Loading a file takes 59.45s |
| Creating data frames takes 32.76s |
| Filling data types and values takes 6.01s |
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|
| Processing a file takes 18.93s |
| Concatenating time series takes 0.32s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/02_traj_3070.5.json.gz |
| Loading a file takes 58.17s |
| Creating data frames takes 34.17s |
| Filling data types and values takes 5.61s |
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|
| Processing a file takes 18.14s |
| Concatenating time series takes 0.37s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/03_traj_3893.5.json.gz |
| Loading a file takes 54.29s |
| Creating data frames takes 28.91s |
| Filling data types and values takes 5.51s |
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| Processing a file takes 17.99s |
| Concatenating time series takes 0.44s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/04_traj_4707.0.json.gz |
| Loading a file takes 57.19s |
| Creating data frames takes 30.42s |
| Filling data types and values takes 5.88s |
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|
| Processing a file takes 17.88s |
| Concatenating time series takes 0.49s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/05_traj_5494.5.json.gz |
| Loading a file takes 57.41s |
| Creating data frames takes 26.94s |
| Filling data types and values takes 6.19s |
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|
| Processing a file takes 31.28s |
| Concatenating time series takes 0.54s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/06_traj_6275.0.json.gz |
| Loading a file takes 65.83s |
| Creating data frames takes 28.58s |
| Filling data types and values takes 6.14s |
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|
| Processing a file takes 22.96s |
| Concatenating time series takes 0.50s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/07_traj_7040.0.json.gz |
| Loading a file takes 63.69s |
| Creating data frames takes 30.36s |
| Filling data types and values takes 6.83s |
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|
| Processing a file takes 19.79s |
| Concatenating time series takes 0.71s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/trajectory/08_traj_end.json.gz |
| Loading a file takes 56.01s |
| Creating data frames takes 26.65s |
| Filling data types and values takes 5.99s |
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|
| Processing a file takes 19.15s |
| Concatenating time series takes 0.46s |
| Saving all the section time series takes 77.78s |
| Saving all the junction time series takes 11.15s |
| Saving network entrance and exit takes 0.10s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1522 [00:00<?, ?it/s]
0%| | 1/1522 [00:00<10:08, 2.50it/s]
1%|β | 21/1522 [00:00<00:30, 49.32it/s]
3%|β | 48/1522 [00:00<00:14, 100.15it/s]
5%|β | 82/1522 [00:00<00:09, 153.58it/s]
8%|β | 119/1522 [00:00<00:06, 202.87it/s]
9%|β | 144/1522 [00:01<00:07, 194.58it/s]
11%|β | 170/1522 [00:01<00:06, 205.21it/s]
13%|ββ | 193/1522 [00:01<00:06, 198.74it/s]
15%|ββ | 221/1522 [00:01<00:06, 209.22it/s]
16%|ββ | 249/1522 [00:01<00:05, 217.25it/s]
18%|ββ | 273/1522 [00:01<00:05, 216.38it/s]
20%|ββ | 309/1522 [00:01<00:05, 237.33it/s]
22%|βββ | 334/1522 [00:02<00:15, 74.67it/s]
24%|βββ | 366/1522 [00:02<00:11, 99.78it/s]
27%|βββ | 405/1522 [00:02<00:08, 136.87it/s]
28%|βββ | 432/1522 [00:03<00:07, 154.52it/s]
30%|βββ | 458/1522 [00:03<00:06, 162.31it/s]
32%|ββββ | 482/1522 [00:03<00:06, 171.83it/s]
33%|ββββ | 505/1522 [00:03<00:06, 169.21it/s]
35%|ββββ | 526/1522 [00:03<00:05, 173.65it/s]
36%|ββββ | 547/1522 [00:03<00:06, 162.19it/s]
37%|ββββ | 566/1522 [00:03<00:06, 158.80it/s]
39%|ββββ | 589/1522 [00:03<00:05, 174.12it/s]
40%|ββββ | 608/1522 [00:04<00:05, 177.99it/s]
42%|βββββ | 637/1522 [00:04<00:04, 206.35it/s]
44%|βββββ | 665/1522 [00:04<00:03, 223.60it/s]
45%|βββββ | 692/1522 [00:04<00:03, 233.08it/s]
47%|βββββ | 720/1522 [00:04<00:03, 245.65it/s]
49%|βββββ | 746/1522 [00:04<00:03, 249.47it/s]
51%|βββββ | 772/1522 [00:04<00:03, 233.38it/s]
52%|ββββββ | 796/1522 [00:04<00:03, 222.71it/s]
54%|ββββββ | 819/1522 [00:04<00:03, 222.91it/s]
55%|ββββββ | 844/1522 [00:04<00:02, 228.74it/s]
57%|ββββββ | 873/1522 [00:05<00:02, 242.82it/s]
59%|ββββββ | 898/1522 [00:05<00:02, 227.74it/s]
61%|ββββββ | 922/1522 [00:05<00:02, 222.09it/s]
62%|βββββββ | 945/1522 [00:05<00:02, 215.98it/s]
64%|βββββββ | 970/1522 [00:05<00:02, 218.42it/s]
65%|βββββββ | 992/1522 [00:05<00:02, 212.19it/s]
67%|βββββββ | 1014/1522 [00:05<00:02, 202.99it/s]
68%|βββββββ | 1035/1522 [00:05<00:02, 192.64it/s]
70%|βββββββ | 1059/1522 [00:06<00:02, 200.11it/s]
71%|βββββββ | 1084/1522 [00:06<00:02, 213.48it/s]
73%|ββββββββ | 1108/1522 [00:06<00:01, 209.78it/s]
74%|ββββββββ | 1132/1522 [00:06<00:01, 217.20it/s]
76%|ββββββββ | 1163/1522 [00:06<00:01, 239.97it/s]
78%|ββββββββ | 1192/1522 [00:06<00:01, 251.36it/s]
80%|ββββββββ | 1218/1522 [00:06<00:01, 249.97it/s]
82%|βββββββββ | 1245/1522 [00:06<00:01, 254.11it/s]
84%|βββββββββ | 1271/1522 [00:06<00:00, 252.37it/s]
85%|βββββββββ | 1297/1522 [00:06<00:00, 239.65it/s]
87%|βββββββββ | 1322/1522 [00:07<00:00, 237.40it/s]
88%|βββββββββ | 1346/1522 [00:07<00:00, 229.90it/s]
90%|βββββββββ | 1370/1522 [00:08<00:02, 56.93it/s]
92%|ββββββββββ| 1396/1522 [00:08<00:01, 73.95it/s]
93%|ββββββββββ| 1418/1522 [00:08<00:01, 89.99it/s]
95%|ββββββββββ| 1439/1522 [00:08<00:00, 106.30it/s]
96%|ββββββββββ| 1459/1522 [00:08<00:00, 118.31it/s]
98%|ββββββββββ| 1484/1522 [00:08<00:00, 140.76it/s]
99%|ββββββββββ| 1511/1522 [00:09<00:00, 162.41it/s]
100%|ββββββββββ| 1522/1522 [00:09<00:00, 168.05it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_004/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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