locan.simulation.simulate_locdata.simulate_uniform#
- locan.simulation.simulate_locdata.simulate_uniform(n_samples, region=(0, 1), seed=None)[source]#
Provide points that are distributed by a uniform Poisson point process within the boundaries given by region.
- Parameters:
n_samples (
int) – The total number of localizations of the point processregion (
Union[Region,_SupportsArray[dtype[Any]],_NestedSequence[_SupportsArray[dtype[Any]]],bool,int,float,complex,str,bytes,_NestedSequence[Union[bool,int,float,complex,str,bytes]]]) – The region (or support) for each feature. If array-like it must provide upper and lower bounds for each feature.seed (
Union[None,int,Sequence[int],SeedSequence,BitGenerator,Generator]) – random number generation seed
- Returns:
The generated samples.
- Return type: