## time_dependent.nspp_plot()


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


Usage

``` python
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: float | None = 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: int | None = ``1000`  
The number of replications to run.