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 146125 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/00_traj_1300.5.json.gz
Loading a file takes 49.21s
Creating data frames takes 43.99s
Filling data types and values takes 7.13s

 Processing a file takes 18.43s
Concatenating time series takes 0.49s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/01_traj_2029.0.json.gz
Loading a file takes 56.98s
Creating data frames takes 66.36s
Filling data types and values takes 12.12s

 Processing a file takes 18.80s
Concatenating time series takes 0.29s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/02_traj_2725.5.json.gz
Loading a file takes 60.36s
Creating data frames takes 59.59s
Filling data types and values takes 6.69s

 Processing a file takes 19.03s
Concatenating time series takes 0.56s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/03_traj_3387.5.json.gz
Loading a file takes 60.74s
Creating data frames takes 26.69s
Filling data types and values takes 5.76s

 Processing a file takes 17.83s
Concatenating time series takes 0.34s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/04_traj_4036.0.json.gz
Loading a file takes 57.01s
Creating data frames takes 28.84s
Filling data types and values takes 5.78s

 Processing a file takes 17.87s
Concatenating time series takes 0.35s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/05_traj_4670.0.json.gz
Loading a file takes 53.38s
Creating data frames takes 24.74s
Filling data types and values takes 5.77s

 Processing a file takes 21.19s
Concatenating time series takes 0.70s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/06_traj_5278.5.json.gz
Loading a file takes 57.85s
Creating data frames takes 24.84s
Filling data types and values takes 5.75s

 Processing a file takes 18.28s
Concatenating time series takes 0.61s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/07_traj_5887.0.json.gz
Loading a file takes 57.06s
Creating data frames takes 24.49s
Filling data types and values takes 5.90s

 Processing a file takes 18.25s
Concatenating time series takes 0.50s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/08_traj_6470.5.json.gz
Loading a file takes 56.78s
Creating data frames takes 23.01s
Filling data types and values takes 5.91s

 Processing a file takes 17.71s
Concatenating time series takes 0.55s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/09_traj_7032.0.json.gz
Loading a file takes 50.65s
Creating data frames takes 22.25s
Filling data types and values takes 5.32s

 Processing a file takes 16.63s
Concatenating time series takes 0.53s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/10_traj_7799.0.json.gz
Loading a file takes 52.81s
Creating data frames takes 30.57s
Filling data types and values takes 5.72s

 Processing a file takes 18.05s
Concatenating time series takes 0.53s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/11_traj_13158.0.json.gz
Loading a file takes 51.37s
Creating data frames takes 25.20s
Filling data types and values takes 5.47s
/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 14.72s
Concatenating time series takes 0.29s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_046/trajectory/12_traj_end.json.gz
Loading a file takes 39.19s
Creating data frames takes 15.46s
Filling data types and values takes 7.61s

 Processing a file takes 7.67s
Concatenating time series takes 0.08s
Saving all the section time series takes 94.25s
Saving all the junction time series takes 13.73s
Saving network entrance and exit takes 0.11s
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_046/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...