File size: 8,156 Bytes
baa3847 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | 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 135923 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/trajectory/00_traj_1317.5.json.gz
Loading a file takes 52.99s
Creating data frames takes 19.42s
Filling data types and values takes 6.03s
Processing a file takes 19.17s
Concatenating time series takes 0.51s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/trajectory/01_traj_2096.5.json.gz
Loading a file takes 62.68s
Creating data frames takes 25.62s
Filling data types and values takes 6.07s
Processing a file takes 17.62s
Concatenating time series takes 0.31s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/trajectory/02_traj_2821.5.json.gz
Loading a file takes 56.64s
Creating data frames takes 23.73s
Filling data types and values takes 6.01s
Processing a file takes 17.89s
Concatenating time series takes 0.36s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/trajectory/03_traj_3530.5.json.gz
Loading a file takes 57.32s
Creating data frames takes 24.98s
Filling data types and values takes 6.09s
Processing a file takes 18.20s
Concatenating time series takes 0.47s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/trajectory/04_traj_4222.0.json.gz
Loading a file takes 60.36s
Creating data frames takes 23.05s
Filling data types and values takes 5.86s
Processing a file takes 17.93s
Concatenating time series takes 0.61s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/trajectory/05_traj_4881.5.json.gz
Loading a file takes 58.51s
Creating data frames takes 39.48s
Filling data types and values takes 6.27s
Processing a file takes 24.91s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/trajectory/06_traj_5536.5.json.gz
Loading a file takes 57.61s
Creating data frames takes 24.86s
Filling data types and values takes 5.85s
Processing a file takes 18.24s
Concatenating time series takes 0.64s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/trajectory/07_traj_6176.0.json.gz
Loading a file takes 58.36s
Creating data frames takes 28.61s
Filling data types and values takes 6.17s
Processing a file takes 18.81s
Concatenating time series takes 0.47s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/trajectory/08_traj_6797.0.json.gz
Loading a file takes 55.76s
Creating data frames takes 24.90s
Filling data types and values takes 6.34s
Processing a file takes 19.59s
Concatenating time series takes 1.12s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/trajectory/09_traj_7451.5.json.gz
Loading a file takes 61.66s
Creating data frames takes 29.08s
Filling data types and values takes 6.01s
Processing a file takes 20.05s
Concatenating time series takes 0.81s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/trajectory/10_traj_end.json.gz
Loading a file takes 51.14s
Creating data frames takes 20.41s
Filling data types and values takes 5.03s
Processing a file takes 34.04s
Concatenating time series takes 0.33s
Saving all the section time series takes 86.71s
Saving all the junction time series takes 12.62s
Saving network entrance and exit takes 0.10s
Aggregating the raw statistics to different intervals...
0%| | 0/1521 [00:00<?, ?it/s]
0%| | 1/1521 [00:00<12:14, 2.07it/s]
0%| | 6/1521 [00:00<02:10, 11.64it/s]
3%|▎ | 48/1521 [00:00<00:14, 102.63it/s]
5%|▌ | 82/1521 [00:00<00:09, 157.34it/s]
8%|▊ | 118/1521 [00:00<00:06, 204.66it/s]
10%|▉ | 146/1521 [00:01<00:07, 188.19it/s]
11%|█▏ | 173/1521 [00:01<00:06, 204.90it/s]
13%|█▎ | 199/1521 [00:01<00:06, 214.56it/s]
15%|█▍ | 224/1521 [00:01<00:06, 212.98it/s]
16%|█▋ | 248/1521 [00:01<00:05, 217.21it/s]
18%|█▊ | 272/1521 [00:01<00:06, 197.31it/s]
19%|█▉ | 293/1521 [00:01<00:06, 187.57it/s]
21%|██ | 313/1521 [00:02<00:22, 54.49it/s]
23%|██▎ | 351/1521 [00:03<00:13, 84.74it/s]
25%|██▍ | 379/1521 [00:03<00:10, 107.11it/s]
27%|██▋ | 409/1521 [00:03<00:08, 132.54it/s]
28%|██▊ | 433/1521 [00:03<00:07, 146.68it/s]
30%|███ | 457/1521 [00:03<00:06, 161.60it/s]
32%|███▏ | 480/1521 [00:03<00:05, 175.78it/s]
33%|███▎ | 503/1521 [00:03<00:05, 181.76it/s]
35%|███▍ | 525/1521 [00:03<00:05, 177.79it/s]
36%|███▌ | 546/1521 [00:03<00:05, 169.50it/s]
37%|███▋ | 565/1521 [00:04<00:05, 165.62it/s]
39%|███▊ | 587/1521 [00:04<00:05, 178.02it/s]
40%|███▉ | 606/1521 [00:04<00:05, 175.70it/s]
41%|████▏ | 630/1521 [00:04<00:04, 191.56it/s]
43%|████▎ | 650/1521 [00:04<00:04, 193.10it/s]
44%|████▍ | 675/1521 [00:04<00:04, 206.91it/s]
46%|████▌ | 697/1521 [00:04<00:03, 208.29it/s]
47%|████▋ | 719/1521 [00:04<00:03, 206.55it/s]
49%|████▉ | 745/1521 [00:04<00:03, 217.40it/s]
50%|█████ | 767/1521 [00:05<00:03, 208.94it/s]
52%|█████▏ | 789/1521 [00:05<00:03, 210.86it/s]
53%|█████▎ | 811/1521 [00:05<00:03, 204.34it/s]
55%|█████▍ | 836/1521 [00:05<00:03, 216.61it/s]
57%|█████▋ | 860/1521 [00:05<00:02, 222.07it/s]
58%|█████▊ | 883/1521 [00:05<00:03, 211.68it/s]
60%|█████▉ | 906/1521 [00:05<00:02, 215.96it/s]
61%|██████ | 928/1521 [00:05<00:02, 216.68it/s]
63%|██████▎ | 954/1521 [00:05<00:02, 226.48it/s]
64%|██████▍ | 980/1521 [00:05<00:02, 234.14it/s]
66%|██████▌ | 1004/1521 [00:06<00:02, 231.90it/s]
68%|██████▊ | 1028/1521 [00:06<00:02, 219.47it/s]
69%|██████▉ | 1051/1521 [00:06<00:02, 211.25it/s]
71%|███████ | 1076/1521 [00:06<00:02, 218.68it/s]
72%|███████▏ | 1099/1521 [00:06<00:01, 217.53it/s]
74%|███████▎ | 1121/1521 [00:06<00:02, 199.20it/s]
75%|███████▌ | 1142/1521 [00:06<00:01, 200.43it/s]
77%|███████▋ | 1170/1521 [00:06<00:01, 213.33it/s]
79%|███████▊ | 1195/1521 [00:07<00:01, 219.87it/s]
80%|████████ | 1218/1521 [00:07<00:01, 220.95it/s]
82%|████████▏ | 1246/1521 [00:07<00:01, 235.38it/s]
84%|████████▎ | 1272/1521 [00:07<00:01, 240.36it/s]
86%|████████▌ | 1301/1521 [00:07<00:00, 254.57it/s]
87%|████████▋ | 1327/1521 [00:07<00:00, 238.39it/s]
89%|████████▉ | 1352/1521 [00:07<00:00, 235.80it/s]
90%|█████████ | 1376/1521 [00:08<00:02, 64.29it/s]
92%|█████████▏| 1394/1521 [00:08<00:01, 74.42it/s]
93%|█████████▎| 1420/1521 [00:08<00:01, 96.77it/s]
95%|█████████▍| 1442/1521 [00:09<00:00, 114.66it/s]
96%|█████████▌| 1463/1521 [00:09<00:00, 126.84it/s]
98%|█████████▊| 1483/1521 [00:09<00:00, 137.82it/s]
99%|█████████▉| 1512/1521 [00:09<00:00, 165.55it/s]
100%|██████████| 1521/1521 [00:09<00:00, 162.20it/s]
Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_036/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...
|