| 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 117612 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/00_traj_1380.5.json.gz |
| Loading a file takes 53.40s |
| Creating data frames takes 21.35s |
| Filling data types and values takes 5.99s |
|
|
| Processing a file takes 18.63s |
| Concatenating time series takes 0.55s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/01_traj_2320.5.json.gz |
| Loading a file takes 54.84s |
| Creating data frames takes 21.45s |
| Filling data types and values takes 4.64s |
|
|
| Processing a file takes 17.04s |
| Concatenating time series takes 0.26s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/02_traj_3228.5.json.gz |
| Loading a file takes 56.31s |
| Creating data frames takes 22.35s |
| Filling data types and values takes 4.88s |
|
|
| Processing a file takes 18.19s |
| Concatenating time series takes 0.37s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/03_traj_4152.5.json.gz |
| Loading a file takes 51.84s |
| Creating data frames takes 21.17s |
| Filling data types and values takes 5.05s |
|
|
| Processing a file takes 18.88s |
| Concatenating time series takes 0.37s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/04_traj_5084.0.json.gz |
| Loading a file takes 55.01s |
| Creating data frames takes 22.96s |
| Filling data types and values takes 5.07s |
|
|
| Processing a file takes 18.37s |
| Concatenating time series takes 0.48s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/05_traj_6001.0.json.gz |
| Loading a file takes 51.28s |
| Creating data frames takes 22.67s |
| Filling data types and values takes 5.31s |
|
|
| Processing a file takes 21.91s |
| Concatenating time series takes 0.54s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/06_traj_6907.5.json.gz |
| Loading a file takes 62.20s |
| Creating data frames takes 26.72s |
| Filling data types and values takes 5.62s |
|
|
| Processing a file takes 20.05s |
| Concatenating time series takes 0.75s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/trajectory/07_traj_end.json.gz |
| Loading a file takes 32.43s |
| Creating data frames takes 14.23s |
| Filling data types and values takes 2.76s |
|
|
| Processing a file takes 16.95s |
| Concatenating time series takes 0.77s |
| Saving all the section time series takes 70.41s |
| Saving all the junction time series takes 8.52s |
| 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<08:39, 2.92it/s]
0%| | 5/1517 [00:00<01:52, 13.43it/s]
3%|β | 43/1517 [00:00<00:12, 116.75it/s]
5%|β | 79/1517 [00:00<00:07, 184.21it/s]
7%|β | 110/1517 [00:00<00:06, 216.91it/s]
9%|β | 136/1517 [00:00<00:06, 222.35it/s]
11%|β | 162/1517 [00:01<00:06, 206.29it/s]
12%|ββ | 189/1517 [00:01<00:06, 219.69it/s]
14%|ββ | 219/1517 [00:01<00:05, 235.66it/s]
17%|ββ | 257/1517 [00:01<00:04, 261.70it/s]
19%|ββ | 285/1517 [00:01<00:04, 256.95it/s]
21%|ββ | 313/1517 [00:01<00:04, 262.30it/s]
22%|βββ | 340/1517 [00:02<00:13, 85.46it/s]
26%|βββ | 389/1517 [00:02<00:08, 129.16it/s]
28%|βββ | 420/1517 [00:02<00:07, 150.76it/s]
30%|βββ | 455/1517 [00:02<00:05, 182.02it/s]
32%|ββββ | 484/1517 [00:02<00:05, 188.64it/s]
34%|ββββ | 511/1517 [00:03<00:05, 195.49it/s]
35%|ββββ | 536/1517 [00:03<00:05, 190.40it/s]
37%|ββββ | 559/1517 [00:03<00:05, 185.47it/s]
38%|ββββ | 584/1517 [00:03<00:04, 197.85it/s]
40%|ββββ | 606/1517 [00:03<00:04, 193.61it/s]
42%|βββββ | 630/1517 [00:03<00:04, 202.94it/s]
43%|βββββ | 657/1517 [00:03<00:03, 217.43it/s]
45%|βββββ | 684/1517 [00:03<00:03, 229.59it/s]
47%|βββββ | 712/1517 [00:03<00:03, 243.21it/s]
49%|βββββ | 738/1517 [00:04<00:03, 243.68it/s]
50%|βββββ | 763/1517 [00:04<00:03, 232.64it/s]
52%|ββββββ | 787/1517 [00:04<00:03, 228.55it/s]
53%|ββββββ | 811/1517 [00:04<00:03, 218.58it/s]
55%|ββββββ | 837/1517 [00:04<00:03, 224.13it/s]
57%|ββββββ | 864/1517 [00:04<00:02, 236.58it/s]
59%|ββββββ | 892/1517 [00:04<00:02, 247.07it/s]
60%|ββββββ | 917/1517 [00:04<00:02, 240.19it/s]
62%|βββββββ | 943/1517 [00:04<00:02, 245.35it/s]
64%|βββββββ | 977/1517 [00:05<00:02, 263.43it/s]
66%|βββββββ | 1006/1517 [00:05<00:01, 269.14it/s]
68%|βββββββ | 1033/1517 [00:05<00:01, 260.78it/s]
70%|βββββββ | 1062/1517 [00:05<00:01, 264.71it/s]
72%|ββββββββ | 1093/1517 [00:05<00:01, 277.10it/s]
74%|ββββββββ | 1121/1517 [00:05<00:01, 264.85it/s]
76%|ββββββββ | 1155/1517 [00:05<00:01, 283.48it/s]
78%|ββββββββ | 1186/1517 [00:05<00:01, 269.62it/s]
80%|ββββββββ | 1220/1517 [00:05<00:01, 287.20it/s]
83%|βββββββββ | 1255/1517 [00:06<00:00, 303.91it/s]
85%|βββββββββ | 1288/1517 [00:06<00:00, 307.89it/s]
87%|βββββββββ | 1320/1517 [00:06<00:00, 298.84it/s]
89%|βββββββββ | 1351/1517 [00:06<00:00, 292.67it/s]
91%|βββββββββ | 1381/1517 [00:07<00:01, 82.12it/s]
93%|ββββββββββ| 1410/1517 [00:07<00:01, 103.02it/s]
95%|ββββββββββ| 1434/1517 [00:07<00:00, 115.28it/s]
96%|ββββββββββ| 1461/1517 [00:07<00:00, 136.10it/s]
98%|ββββββββββ| 1488/1517 [00:07<00:00, 158.15it/s]
100%|ββββββββββ| 1517/1517 [00:07<00:00, 192.65it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_003/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
|
|