File size: 10,270 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 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 | 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 134757 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/00_traj_1334.5.json.gz
Loading a file takes 49.59s
Creating data frames takes 29.54s
Filling data types and values takes 5.87s
Processing a file takes 18.67s
Concatenating time series takes 0.45s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/01_traj_2121.5.json.gz
Loading a file takes 53.51s
Creating data frames takes 25.59s
Filling data types and values takes 5.75s
Processing a file takes 17.98s
Concatenating time series takes 0.23s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/02_traj_2860.0.json.gz
Loading a file takes 54.05s
Creating data frames takes 27.86s
Filling data types and values takes 5.82s
Processing a file takes 17.80s
Concatenating time series takes 0.37s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/03_traj_3557.0.json.gz
Loading a file takes 51.24s
Creating data frames takes 24.13s
Filling data types and values takes 5.87s
Processing a file takes 18.51s
Concatenating time series takes 0.37s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/04_traj_4251.0.json.gz
Loading a file takes 55.00s
Creating data frames takes 26.08s
Filling data types and values takes 5.80s
Processing a file takes 18.21s
Concatenating time series takes 0.39s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/05_traj_4957.0.json.gz
Loading a file takes 52.16s
Creating data frames takes 22.40s
Filling data types and values takes 5.85s
Processing a file takes 23.91s
Concatenating time series takes 0.42s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/06_traj_5623.0.json.gz
Loading a file takes 55.84s
Creating data frames takes 22.59s
Filling data types and values takes 5.83s
Processing a file takes 21.81s
Concatenating time series takes 0.61s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/07_traj_6269.0.json.gz
Loading a file takes 55.22s
Creating data frames takes 20.47s
Filling data types and values takes 5.64s
Processing a file takes 18.49s
Concatenating time series takes 0.56s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/08_traj_6856.0.json.gz
Loading a file takes 55.02s
Creating data frames takes 28.77s
Filling data types and values takes 7.60s
Processing a file takes 18.20s
Concatenating time series takes 0.76s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/09_traj_7470.0.json.gz
Loading a file takes 58.23s
Creating data frames takes 22.51s
Filling data types and values takes 5.99s
Processing a file takes 18.83s
Concatenating time series takes 0.56s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/10_traj_9117.0.json.gz
Loading a file takes 58.19s
Creating data frames takes 23.12s
Filling data types and values takes 5.83s
Processing a file takes 16.21s
Concatenating time series takes 0.35s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/11_traj_11511.0.json.gz
Loading a file takes 60.03s
Creating data frames takes 26.89s
Filling data types and values takes 5.61s
Processing a file takes 12.29s
Concatenating time series takes 0.23s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/12_traj_14690.5.json.gz
Loading a file takes 51.38s
Creating data frames takes 24.37s
Filling data types and values takes 5.60s
Processing a file takes 11.14s
Concatenating time series takes 0.18s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/13_traj_18934.0.json.gz
Loading a file takes 51.77s
Creating data frames takes 22.37s
Filling data types and values takes 5.49s
Processing a file takes 28.37s
Concatenating time series takes 0.12s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/14_traj_23297.0.json.gz
Loading a file takes 59.55s
Creating data frames takes 21.40s
Filling data types and values takes 5.42s
/home/weijiang/Projects/Netsanut/scripts/data/simbarca/time_series_from_traj.py:424: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.
df = pd.concat([df, entering, exiting], ignore_index=True, copy=False)
Processing a file takes 14.94s
Concatenating time series takes 0.14s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/trajectory/15_traj_end.json.gz
Loading a file takes 4.17s
Creating data frames takes 0.56s
Filling data types and values takes 0.16s
Processing a file takes 3.37s
Concatenating time series takes 0.13s
Saving all the section time series takes 99.38s
Saving all the junction time series takes 14.27s
Saving network entrance and exit takes 0.09s
Aggregating the raw statistics to different intervals...
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Constructing time series for each modality ...
Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_037/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...
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