| INFO: Pandarallel will run on 8 workers. |
| INFO: Pandarallel will use Memory file system to transfer data between the main process and workers. |
|
|
| Selecting 5.0% vehicles from 141607 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_048/trajectory/00_traj_1305.5.json.gz |
| Loading a file takes 49.96s |
| Creating data frames takes 20.05s |
| Filling data types and values takes 5.97s |
|
|
| Processing a file takes 18.94s |
| Concatenating time series takes 0.39s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_048/trajectory/01_traj_2050.5.json.gz |
| Loading a file takes 57.77s |
| Creating data frames takes 25.99s |
| Filling data types and values takes 6.20s |
|
|
| Processing a file takes 19.35s |
| Concatenating time series takes 0.31s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_048/trajectory/02_traj_2764.0.json.gz |
| Loading a file takes 59.50s |
| Creating data frames takes 22.00s |
| Filling data types and values takes 6.10s |
|
|
| Processing a file takes 19.03s |
| Concatenating time series takes 0.26s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_048/trajectory/03_traj_3467.0.json.gz |
| Loading a file takes 54.33s |
| Creating data frames takes 25.69s |
| Filling data types and values takes 6.11s |
|
|
| Processing a file takes 18.73s |
| Concatenating time series takes 0.37s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_048/trajectory/04_traj_4164.0.json.gz |
| Loading a file takes 59.21s |
| Creating data frames takes 21.37s |
| Filling data types and values takes 5.88s |
|
|
| Processing a file takes 19.50s |
| Concatenating time series takes 0.34s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_048/trajectory/05_traj_4860.5.json.gz |
| Loading a file takes 54.85s |
| Creating data frames takes 20.46s |
| Filling data types and values takes 5.88s |
|
|
| Processing a file takes 21.54s |
| Concatenating time series takes 0.53s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_048/trajectory/06_traj_5552.5.json.gz |
| Loading a file takes 56.57s |
| Creating data frames takes 20.08s |
| Filling data types and values takes 5.87s |
|
|
| Processing a file takes 22.75s |
| Concatenating time series takes 0.58s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_048/trajectory/07_traj_6238.5.json.gz |
| Loading a file takes 60.33s |
| Creating data frames takes 21.84s |
| Filling data types and values takes 5.91s |
|
|
| Processing a file takes 19.11s |
| Concatenating time series takes 0.68s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_048/trajectory/08_traj_6923.5.json.gz |
| Loading a file takes 60.08s |
| Creating data frames takes 21.93s |
| Filling data types and values takes 6.18s |
|
|
| Processing a file takes 19.46s |
| Concatenating time series takes 0.58s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_048/trajectory/09_traj_end.json.gz |
| Loading a file takes 53.81s |
| Creating data frames takes 17.20s |
| Filling data types and values takes 5.08s |
|
|
| Processing a file takes 18.70s |
| Concatenating time series takes 0.77s |
| Saving all the section time series takes 88.14s |
| Saving all the junction time series takes 12.60s |
| Saving network entrance and exit takes 0.09s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1516 [00:00<?, ?it/s]
0%| | 1/1516 [00:00<10:54, 2.32it/s]
2%|β | 29/1516 [00:00<00:21, 69.57it/s]
3%|β | 47/1516 [00:00<00:15, 97.35it/s]
5%|β | 81/1516 [00:00<00:09, 158.26it/s]
8%|β | 117/1516 [00:00<00:06, 207.87it/s]
10%|β | 147/1516 [00:00<00:06, 227.83it/s]
11%|ββ | 174/1516 [00:01<00:05, 230.79it/s]
13%|ββ | 200/1516 [00:01<00:05, 232.30it/s]
15%|ββ | 225/1516 [00:01<00:05, 236.46it/s]
17%|ββ | 253/1516 [00:01<00:05, 242.28it/s]
18%|ββ | 279/1516 [00:01<00:05, 240.23it/s]
20%|ββ | 307/1516 [00:01<00:04, 245.97it/s]
22%|βββ | 333/1516 [00:02<00:16, 73.14it/s]
24%|βββ | 365/1516 [00:02<00:11, 99.02it/s]
27%|βββ | 402/1516 [00:02<00:08, 133.28it/s]
28%|βββ | 428/1516 [00:02<00:07, 149.55it/s]
30%|βββ | 453/1516 [00:03<00:06, 163.46it/s]
32%|ββββ | 478/1516 [00:03<00:06, 169.07it/s]
33%|ββββ | 501/1516 [00:03<00:05, 174.09it/s]
34%|ββββ | 523/1516 [00:03<00:05, 168.23it/s]
36%|ββββ | 543/1516 [00:03<00:05, 163.46it/s]
37%|ββββ | 562/1516 [00:03<00:06, 152.25it/s]
39%|ββββ | 589/1516 [00:03<00:05, 173.64it/s]
40%|ββββ | 612/1516 [00:03<00:05, 177.74it/s]
42%|βββββ | 644/1516 [00:04<00:04, 212.03it/s]
44%|βββββ | 673/1516 [00:04<00:03, 229.63it/s]
46%|βββββ | 699/1516 [00:04<00:03, 233.62it/s]
48%|βββββ | 724/1516 [00:04<00:03, 237.70it/s]
49%|βββββ | 750/1516 [00:04<00:03, 232.55it/s]
51%|βββββ | 774/1516 [00:04<00:03, 215.72it/s]
53%|ββββββ | 797/1516 [00:04<00:03, 206.75it/s]
54%|ββββββ | 819/1516 [00:04<00:03, 206.04it/s]
55%|ββββββ | 840/1516 [00:04<00:03, 204.77it/s]
57%|ββββββ | 864/1516 [00:05<00:03, 213.88it/s]
59%|ββββββ | 888/1516 [00:05<00:02, 220.56it/s]
60%|ββββββ | 911/1516 [00:05<00:02, 206.78it/s]
61%|βββββββ | 932/1516 [00:05<00:02, 200.16it/s]
63%|βββββββ | 961/1516 [00:05<00:02, 220.62it/s]
65%|βββββββ | 985/1516 [00:05<00:02, 222.53it/s]
66%|βββββββ | 1008/1516 [00:05<00:02, 208.31it/s]
68%|βββββββ | 1030/1516 [00:05<00:02, 209.54it/s]
69%|βββββββ | 1052/1516 [00:05<00:02, 208.72it/s]
71%|βββββββ | 1079/1516 [00:06<00:01, 223.97it/s]
73%|ββββββββ | 1102/1516 [00:06<00:01, 220.43it/s]
74%|ββββββββ | 1127/1516 [00:06<00:01, 216.46it/s]
76%|ββββββββ | 1153/1516 [00:06<00:01, 226.26it/s]
78%|ββββββββ | 1183/1516 [00:06<00:01, 246.86it/s]
80%|ββββββββ | 1208/1516 [00:06<00:01, 243.65it/s]
82%|βββββββββ | 1238/1516 [00:06<00:01, 258.49it/s]
84%|βββββββββ | 1268/1516 [00:06<00:00, 269.90it/s]
85%|βββββββββ | 1296/1516 [00:06<00:00, 263.92it/s]
87%|βββββββββ | 1323/1516 [00:07<00:00, 248.53it/s]
89%|βββββββββ | 1349/1516 [00:07<00:00, 227.69it/s]
91%|βββββββββ | 1373/1516 [00:08<00:02, 59.26it/s]
92%|ββββββββββ| 1397/1516 [00:08<00:01, 73.71it/s]
94%|ββββββββββ| 1420/1516 [00:08<00:01, 90.47it/s]
95%|ββββββββββ| 1443/1516 [00:08<00:00, 108.07it/s]
97%|ββββββββββ| 1463/1516 [00:08<00:00, 122.33it/s]
98%|ββββββββββ| 1485/1516 [00:08<00:00, 140.29it/s]
100%|ββββββββββ| 1516/1516 [00:08<00:00, 169.01it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_048/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
|
|