time_dependent.nspp_plot()

Generate a matplotlib chart to visualise a non-stationary poisson process

Usage

Source

time_dependent.nspp_plot(
    arrival_profile,
    run_length=None,
    n_reps=1000,
)

for the set arrival profile.

This uses the sim-tools NSPPThinning class.

Useful for validating the the NSPP has been set up correctly and is producing the desired profile for the simulation model.

Parameters

arrival_profile: pd.DataFrame

The arrival profile is a pandas data frame containing ‘t’, ‘arrival_rate’ and ‘mean_iat’ columns.

run_length: Optional[float] = None

How long should the simulation be run. If none then uses the last value in ‘t’ + the interval (assumes equal width intervals)

n_reps: Optional[int] = 1000

The number of replications to run.