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 135181 vehicles
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/00_traj_1330.0.json.gz
Loading a file takes 47.94s
Creating data frames takes 22.43s
Filling data types and values takes 5.92s

 Processing a file takes 17.51s
Concatenating time series takes 0.49s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/01_traj_2126.5.json.gz
Loading a file takes 52.39s
Creating data frames takes 21.07s
Filling data types and values takes 5.84s

 Processing a file takes 17.74s
Concatenating time series takes 0.24s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/02_traj_2861.5.json.gz
Loading a file takes 54.32s
Creating data frames takes 20.57s
Filling data types and values takes 5.88s

 Processing a file takes 17.46s
Concatenating time series takes 0.29s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/03_traj_3560.0.json.gz
Loading a file takes 50.84s
Creating data frames takes 19.80s
Filling data types and values takes 5.63s

 Processing a file takes 17.43s
Concatenating time series takes 0.34s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/04_traj_4254.0.json.gz
Loading a file takes 54.38s
Creating data frames takes 19.14s
Filling data types and values takes 5.32s

 Processing a file takes 17.91s
Concatenating time series takes 0.43s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/05_traj_4945.5.json.gz
Loading a file takes 51.75s
Creating data frames takes 19.73s
Filling data types and values takes 5.12s

 Processing a file takes 27.94s
Concatenating time series takes 0.41s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/06_traj_5657.5.json.gz
Loading a file takes 58.46s
Creating data frames takes 20.14s
Filling data types and values takes 5.71s

 Processing a file takes 24.17s
Concatenating time series takes 0.62s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/07_traj_6374.0.json.gz
Loading a file takes 56.72s
Creating data frames takes 19.35s
Filling data types and values takes 5.47s

 Processing a file takes 18.80s
Concatenating time series takes 0.65s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/08_traj_7082.5.json.gz
Loading a file takes 58.29s
Creating data frames takes 21.14s
Filling data types and values takes 5.69s

 Processing a file takes 19.75s
Concatenating time series takes 0.69s
Working on file /home/weijiang/Projects/Netsanut/datasets/simbarca/simulation_sessions/session_020/trajectory/09_traj_end.json.gz
Loading a file takes 35.70s
Creating data frames takes 10.79s
Filling data types and values takes 2.66s

 Processing a file takes 15.73s
Concatenating time series takes 0.62s
Saving all the section time series takes 83.13s
Saving all the junction time series takes 11.82s
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_020/timeseries/agg_timeseries.pkl
Extracting samples from time series ...
number of samples: 20
Packing the samples into numpy arrays ...