| 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 121111 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_017/trajectory/00_traj_1348.5.json.gz |
| Loading a file takes 41.52s |
| Creating data frames takes 23.07s |
| Filling data types and values takes 5.40s |
|
|
| Processing a file takes 17.49s |
| Concatenating time series takes 0.39s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_017/trajectory/01_traj_2250.5.json.gz |
| Loading a file takes 55.88s |
| Creating data frames takes 21.87s |
| Filling data types and values takes 5.76s |
|
|
| Processing a file takes 18.61s |
| Concatenating time series takes 0.28s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_017/trajectory/02_traj_3130.5.json.gz |
| Loading a file takes 53.65s |
| Creating data frames takes 25.85s |
| Filling data types and values takes 5.76s |
|
|
| Processing a file takes 17.84s |
| Concatenating time series takes 0.26s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_017/trajectory/03_traj_4025.5.json.gz |
| Loading a file takes 53.48s |
| Creating data frames takes 23.41s |
| Filling data types and values takes 5.89s |
|
|
| Processing a file takes 19.04s |
| Concatenating time series takes 0.48s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_017/trajectory/04_traj_4907.5.json.gz |
| Loading a file takes 57.09s |
| Creating data frames takes 26.83s |
| Filling data types and values takes 5.88s |
|
|
| Processing a file takes 18.93s |
| Concatenating time series takes 0.52s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_017/trajectory/05_traj_5789.5.json.gz |
| Loading a file takes 54.09s |
| Creating data frames takes 24.63s |
| Filling data types and values takes 5.84s |
|
|
| Processing a file takes 36.25s |
| Concatenating time series takes 0.49s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_017/trajectory/06_traj_6661.0.json.gz |
| Loading a file takes 65.33s |
| Creating data frames takes 27.71s |
| Filling data types and values takes 6.03s |
|
|
| Processing a file takes 19.57s |
| Concatenating time series takes 0.90s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_017/trajectory/07_traj_end.json.gz |
| Loading a file takes 49.39s |
| Creating data frames takes 20.16s |
| Filling data types and values takes 5.15s |
|
|
| Processing a file takes 18.09s |
| Concatenating time series takes 0.74s |
| Saving all the section time series takes 75.21s |
| Saving all the junction time series takes 10.39s |
| Saving network entrance and exit takes 0.08s |
| Aggregating the raw statistics to different intervals... |
|
0%| | 0/1517 [00:00<?, ?it/s]
0%| | 1/1517 [00:00<10:18, 2.45it/s]
2%|▏ | 26/1517 [00:00<00:22, 65.62it/s]
4%|▍ | 64/1517 [00:00<00:09, 148.41it/s]
7%|▋ | 101/1517 [00:00<00:07, 194.96it/s]
9%|▉ | 138/1517 [00:00<00:05, 235.33it/s]
11%|█ | 167/1517 [00:00<00:06, 224.36it/s]
13%|█▎ | 194/1517 [00:01<00:06, 218.71it/s]
15%|█▍ | 221/1517 [00:01<00:05, 229.76it/s]
16%|█▋ | 250/1517 [00:01<00:05, 240.71it/s]
18%|█▊ | 279/1517 [00:01<00:04, 251.34it/s]
20%|██ | 310/1517 [00:01<00:04, 263.24it/s]
22%|██▏ | 338/1517 [00:02<00:14, 82.55it/s]
25%|██▌ | 383/1517 [00:02<00:09, 122.00it/s]
28%|██▊ | 418/1517 [00:02<00:07, 152.69it/s]
30%|██▉ | 448/1517 [00:02<00:06, 175.73it/s]
32%|███▏ | 478/1517 [00:02<00:05, 196.02it/s]
33%|███▎ | 507/1517 [00:03<00:05, 200.24it/s]
35%|███▌ | 534/1517 [00:03<00:04, 208.52it/s]
37%|███▋ | 560/1517 [00:03<00:04, 210.09it/s]
39%|███▊ | 586/1517 [00:03<00:04, 220.04it/s]
40%|████ | 611/1517 [00:03<00:04, 223.19it/s]
42%|████▏ | 639/1517 [00:03<00:03, 236.11it/s]
45%|████▍ | 677/1517 [00:03<00:03, 261.58it/s]
47%|████▋ | 710/1517 [00:03<00:02, 270.40it/s]
49%|████▉ | 741/1517 [00:03<00:02, 276.97it/s]
51%|█████ | 770/1517 [00:04<00:03, 231.09it/s]
52%|█████▏ | 795/1517 [00:04<00:03, 228.09it/s]
54%|█████▍ | 822/1517 [00:04<00:02, 237.52it/s]
56%|█████▌ | 847/1517 [00:04<00:02, 238.57it/s]
58%|█████▊ | 874/1517 [00:04<00:02, 246.14it/s]
59%|█████▉ | 900/1517 [00:04<00:02, 243.45it/s]
61%|██████ | 925/1517 [00:04<00:02, 235.18it/s]
63%|██████▎ | 949/1517 [00:04<00:02, 231.32it/s]
64%|██████▍ | 978/1517 [00:04<00:02, 242.67it/s]
66%|██████▌ | 1005/1517 [00:05<00:02, 247.10it/s]
68%|██████▊ | 1030/1517 [00:05<00:02, 238.73it/s]
70%|██████▉ | 1058/1517 [00:05<00:01, 249.46it/s]
72%|███████▏ | 1089/1517 [00:05<00:01, 260.72it/s]
74%|███████▎ | 1117/1517 [00:05<00:01, 264.35it/s]
75%|███████▌ | 1144/1517 [00:05<00:01, 257.98it/s]
77%|███████▋ | 1172/1517 [00:05<00:01, 263.43it/s]
79%|███████▉ | 1200/1517 [00:05<00:01, 266.43it/s]
81%|████████ | 1227/1517 [00:05<00:01, 266.43it/s]
83%|████████▎ | 1259/1517 [00:05<00:00, 279.19it/s]
85%|████████▌ | 1290/1517 [00:06<00:00, 279.08it/s]
87%|████████▋ | 1326/1517 [00:06<00:00, 299.68it/s]
89%|████████▉ | 1357/1517 [00:06<00:00, 284.03it/s]
91%|█████████▏| 1386/1517 [00:07<00:01, 99.38it/s]
93%|█████████▎| 1416/1517 [00:07<00:00, 123.80it/s]
95%|█████████▌| 1446/1517 [00:07<00:00, 149.81it/s]
97%|█████████▋| 1472/1517 [00:07<00:00, 166.89it/s]
99%|█████████▉| 1502/1517 [00:07<00:00, 192.68it/s]
100%|██████████| 1517/1517 [00:07<00:00, 201.47it/s] |
| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_017/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
|
|
