| 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 130125 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_024/trajectory/00_traj_1334.0.json.gz |
| Loading a file takes 52.99s |
| Creating data frames takes 45.12s |
| Filling data types and values takes 7.58s |
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|
| Processing a file takes 18.91s |
| Concatenating time series takes 0.45s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_024/trajectory/01_traj_2135.0.json.gz |
| Loading a file takes 59.22s |
| Creating data frames takes 50.69s |
| Filling data types and values takes 12.28s |
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|
| Processing a file takes 21.81s |
| Concatenating time series takes 0.38s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_024/trajectory/02_traj_2920.0.json.gz |
| Loading a file takes 59.20s |
| Creating data frames takes 36.88s |
| Filling data types and values takes 6.99s |
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|
| Processing a file takes 19.19s |
| Concatenating time series takes 0.39s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_024/trajectory/03_traj_3702.5.json.gz |
| Loading a file takes 58.11s |
| Creating data frames takes 35.13s |
| Filling data types and values takes 6.31s |
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|
| Processing a file takes 18.29s |
| Concatenating time series takes 0.42s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_024/trajectory/04_traj_4478.5.json.gz |
| Loading a file takes 60.06s |
| Creating data frames takes 31.09s |
| Filling data types and values takes 6.04s |
|
|
| Processing a file takes 19.19s |
| Concatenating time series takes 0.98s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_024/trajectory/05_traj_5241.5.json.gz |
| Loading a file takes 57.05s |
| Creating data frames takes 33.95s |
| Filling data types and values takes 6.14s |
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|
| Processing a file takes 23.34s |
| Concatenating time series takes 0.70s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_024/trajectory/06_traj_5998.5.json.gz |
| Loading a file takes 58.78s |
| Creating data frames takes 24.93s |
| Filling data types and values takes 5.78s |
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|
| Processing a file takes 23.35s |
| Concatenating time series takes 0.78s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_024/trajectory/07_traj_6758.0.json.gz |
| Loading a file takes 59.56s |
| Creating data frames takes 32.16s |
| Filling data types and values takes 5.84s |
|
|
| Processing a file takes 23.67s |
| Concatenating time series takes 0.83s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_024/trajectory/08_traj_end.json.gz |
| Loading a file takes 54.10s |
| Creating data frames takes 20.64s |
| Filling data types and values takes 5.33s |
|
|
| Processing a file takes 18.86s |
| Concatenating time series takes 0.62s |
| Saving all the section time series takes 81.01s |
| Saving all the junction time series takes 11.64s |
| Saving network entrance and exit takes 0.09s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1517 [00:00<?, ?it/s]
0%| | 1/1517 [00:00<11:18, 2.23it/s]
1%|β | 21/1517 [00:00<00:31, 47.94it/s]
4%|β | 54/1517 [00:00<00:12, 116.71it/s]
6%|β | 91/1517 [00:00<00:07, 179.69it/s]
8%|β | 118/1517 [00:00<00:07, 194.99it/s]
9%|β | 144/1517 [00:01<00:06, 203.62it/s]
11%|β | 169/1517 [00:01<00:06, 212.70it/s]
13%|ββ | 193/1517 [00:01<00:06, 205.09it/s]
14%|ββ | 216/1517 [00:01<00:06, 210.35it/s]
16%|ββ | 245/1517 [00:01<00:05, 228.59it/s]
18%|ββ | 269/1517 [00:01<00:05, 231.10it/s]
19%|ββ | 294/1517 [00:01<00:05, 233.26it/s]
21%|ββ | 321/1517 [00:02<00:22, 53.95it/s]
23%|βββ | 343/1517 [00:03<00:17, 67.53it/s]
24%|βββ | 367/1517 [00:03<00:13, 85.20it/s]
26%|βββ | 398/1517 [00:03<00:09, 114.23it/s]
28%|βββ | 424/1517 [00:03<00:08, 136.15it/s]
30%|βββ | 448/1517 [00:03<00:07, 152.19it/s]
31%|βββ | 471/1517 [00:03<00:06, 157.87it/s]
32%|ββββ | 493/1517 [00:03<00:06, 162.96it/s]
34%|ββββ | 514/1517 [00:03<00:05, 168.83it/s]
35%|ββββ | 534/1517 [00:04<00:06, 160.78it/s]
36%|ββββ | 553/1517 [00:04<00:06, 149.57it/s]
38%|ββββ | 577/1517 [00:04<00:05, 168.08it/s]
39%|ββββ | 597/1517 [00:04<00:05, 174.63it/s]
41%|ββββ | 616/1517 [00:04<00:05, 165.05it/s]
42%|βββββ | 638/1517 [00:04<00:05, 173.75it/s]
43%|βββββ | 658/1517 [00:04<00:04, 177.47it/s]
45%|βββββ | 678/1517 [00:04<00:04, 182.86it/s]
46%|βββββ | 697/1517 [00:04<00:04, 183.89it/s]
47%|βββββ | 716/1517 [00:05<00:04, 184.49it/s]
48%|βββββ | 735/1517 [00:05<00:04, 182.35it/s]
50%|βββββ | 754/1517 [00:05<00:04, 174.98it/s]
51%|βββββ | 772/1517 [00:05<00:04, 172.86it/s]
52%|ββββββ | 793/1517 [00:05<00:03, 181.61it/s]
54%|ββββββ | 816/1517 [00:05<00:03, 192.51it/s]
55%|ββββββ | 836/1517 [00:05<00:03, 191.99it/s]
56%|ββββββ | 856/1517 [00:05<00:03, 185.41it/s]
58%|ββββββ | 878/1517 [00:05<00:03, 195.08it/s]
59%|ββββββ | 898/1517 [00:06<00:03, 181.09it/s]
60%|ββββββ | 917/1517 [00:06<00:03, 173.95it/s]
62%|βββββββ | 935/1517 [00:06<00:03, 166.62it/s]
63%|βββββββ | 956/1517 [00:06<00:03, 176.34it/s]
64%|βββββββ | 974/1517 [00:06<00:03, 176.34it/s]
65%|βββββββ | 993/1517 [00:06<00:03, 174.17it/s]
67%|βββββββ | 1014/1517 [00:06<00:02, 177.96it/s]
68%|βββββββ | 1032/1517 [00:06<00:02, 170.62it/s]
69%|βββββββ | 1053/1517 [00:06<00:02, 179.43it/s]
71%|βββββββ | 1073/1517 [00:07<00:02, 180.09it/s]
72%|ββββββββ | 1093/1517 [00:07<00:02, 176.30it/s]
73%|ββββββββ | 1113/1517 [00:07<00:02, 178.20it/s]
75%|ββββββββ | 1136/1517 [00:07<00:02, 188.84it/s]
76%|ββββββββ | 1155/1517 [00:07<00:02, 180.77it/s]
78%|ββββββββ | 1176/1517 [00:07<00:01, 187.02it/s]
79%|ββββββββ | 1198/1517 [00:07<00:01, 195.77it/s]
80%|ββββββββ | 1218/1517 [00:07<00:01, 194.24it/s]
82%|βββββββββ | 1244/1517 [00:07<00:01, 207.91it/s]
83%|βββββββββ | 1265/1517 [00:08<00:01, 204.30it/s]
85%|βββββββββ | 1287/1517 [00:08<00:01, 202.46it/s]
86%|βββββββββ | 1308/1517 [00:08<00:01, 194.80it/s]
88%|βββββββββ | 1328/1517 [00:08<00:00, 194.72it/s]
89%|βββββββββ | 1348/1517 [00:08<00:00, 179.59it/s]
90%|βββββββββ | 1367/1517 [00:10<00:04, 36.95it/s]
91%|ββββββββββ| 1385/1517 [00:10<00:02, 47.19it/s]
93%|ββββββββββ| 1407/1517 [00:10<00:01, 63.17it/s]
94%|ββββββββββ| 1429/1517 [00:10<00:01, 81.02it/s]
95%|ββββββββββ| 1447/1517 [00:10<00:00, 93.18it/s]
97%|ββββββββββ| 1468/1517 [00:10<00:00, 111.65it/s]
98%|ββββββββββ| 1493/1517 [00:10<00:00, 136.46it/s]
100%|ββββββββββ| 1517/1517 [00:10<00:00, 140.94it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_024/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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