snnib.simulations.brian2_simulation.truncnorm¶
- snnib.simulations.brian2_simulation.truncnorm(mu: float = 0, sigma: float = 1, xmin: float = None, xmax: float = None, size: tuple = 1) ndarray[source]¶
returns samples from truncated normal distribution
function to generate samples from a truncated normal distribution
- Parameters
- mu
float, optional
mean
the default is 0
- sigma
float, optional
standard deviation
the default is 1
- xmin
float, optional
lower truncation bound
- the default is None
no truncation
- xmax
float, optional
upper truncation bound
- the default is None
no truncation
- size
tuple, optional
shape of the array to generate
the default is 1
- ‘verbose’
int, optional
verbosity level
the default is 0
- Returns
- out
np.ndarray
samples drawn from a truncated normal distribution
- Dependencies
numpy