| 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 135335 vehicles |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/00_traj_1340.0.json.gz |
| Loading a file takes 48.76s |
| Creating data frames takes 30.85s |
| Filling data types and values takes 6.26s |
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| Processing a file takes 18.77s |
| Concatenating time series takes 0.51s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/01_traj_2119.0.json.gz |
| Loading a file takes 52.82s |
| Creating data frames takes 26.20s |
| Filling data types and values takes 5.84s |
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| Processing a file takes 18.30s |
| Concatenating time series takes 0.26s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/02_traj_2858.5.json.gz |
| Loading a file takes 54.46s |
| Creating data frames takes 27.83s |
| Filling data types and values takes 5.52s |
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| Processing a file takes 18.02s |
| Concatenating time series takes 0.24s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/03_traj_3556.0.json.gz |
| Loading a file takes 51.86s |
| Creating data frames takes 23.96s |
| Filling data types and values takes 5.40s |
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| Processing a file takes 17.89s |
| Concatenating time series takes 0.41s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/04_traj_4246.5.json.gz |
| Loading a file takes 54.53s |
| Creating data frames takes 26.59s |
| Filling data types and values takes 5.57s |
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| Processing a file takes 18.16s |
| Concatenating time series takes 0.49s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/05_traj_4932.0.json.gz |
| Loading a file takes 52.83s |
| Creating data frames takes 22.28s |
| Filling data types and values takes 5.54s |
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| Processing a file takes 21.45s |
| Concatenating time series takes 0.59s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/06_traj_5592.0.json.gz |
| Loading a file takes 53.95s |
| Creating data frames takes 23.72s |
| Filling data types and values takes 5.64s |
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| Processing a file takes 24.87s |
| Concatenating time series takes 0.53s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/07_traj_6208.5.json.gz |
| Loading a file takes 57.22s |
| Creating data frames takes 24.16s |
| Filling data types and values takes 5.67s |
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| Processing a file takes 17.96s |
| Concatenating time series takes 0.58s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/08_traj_6759.5.json.gz |
| Loading a file takes 55.20s |
| Creating data frames takes 29.10s |
| Filling data types and values takes 5.80s |
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| Processing a file takes 17.37s |
| Concatenating time series takes 0.54s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/09_traj_7261.0.json.gz |
| Loading a file takes 55.60s |
| Creating data frames takes 27.57s |
| Filling data types and values takes 6.06s |
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|
| Processing a file takes 18.21s |
| Concatenating time series takes 0.55s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/10_traj_8112.0.json.gz |
| Loading a file takes 64.11s |
| Creating data frames takes 22.08s |
| Filling data types and values takes 5.95s |
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| Processing a file takes 16.43s |
| Concatenating time series takes 0.42s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/11_traj_9392.5.json.gz |
| Loading a file takes 54.20s |
| Creating data frames takes 24.73s |
| Filling data types and values takes 5.52s |
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|
| Processing a file takes 13.14s |
| Concatenating time series takes 0.32s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/12_traj_11792.0.json.gz |
| Loading a file takes 56.15s |
| Creating data frames takes 22.83s |
| Filling data types and values takes 5.70s |
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| Processing a file takes 11.87s |
| Concatenating time series takes 0.33s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/13_traj_19450.5.json.gz |
| Loading a file takes 51.29s |
| Creating data frames takes 22.15s |
| Filling data types and values takes 5.39s |
| /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) |
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|
| Processing a file takes 26.05s |
| Concatenating time series takes 0.17s |
| Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/trajectory/14_traj_end.json.gz |
| Loading a file takes 34.38s |
| Creating data frames takes 10.47s |
| Filling data types and values takes 4.95s |
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| Processing a file takes 5.75s |
| Concatenating time series takes 0.09s |
| Saving all the section time series takes 96.58s |
| Saving all the junction time series takes 14.86s |
| Saving network entrance and exit takes 0.10s |
| Aggregating the raw statistics to different intervals... |
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11%|ββ | 172/1525 [00:01<00:06, 205.59it/s]
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20%|ββ | 305/1525 [00:02<00:12, 96.99it/s]
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35%|ββββ | 534/1525 [00:03<00:05, 170.38it/s]
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38%|ββββ | 577/1525 [00:04<00:05, 171.35it/s]
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40%|ββββ | 617/1525 [00:04<00:05, 163.07it/s]
42%|βββββ | 640/1525 [00:04<00:05, 176.64it/s]
44%|βββββ | 668/1525 [00:04<00:04, 196.45it/s]
45%|βββββ | 689/1525 [00:04<00:04, 198.71it/s]
47%|βββββ | 710/1525 [00:04<00:04, 196.31it/s]
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58%|ββββββ | 888/1525 [00:05<00:03, 202.05it/s]
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| Constructing time series for each modality ... |
| Saving aggregated time series to /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_032/timeseries/agg_timeseries.pkl |
| Extracting samples from time series ... |
| number of samples: 20 |
| Packing the samples into numpy arrays ... |
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