Struct nannou::rand::distributions::Weibull

pub struct Weibull { /* fields omitted */ }

Samples floating-point numbers according to the Weibull distribution

Example

use rand::prelude::*;
use rand::distributions::Weibull;

let val: f64 = SmallRng::from_entropy().sample(Weibull::new(1., 10.));
println!("{}", val);

Methods

impl Weibull

pub fn new(scale: f64, shape: f64) -> Weibull

Construct a new Weibull distribution with given scale and shape.

Panics

scale and shape have to be non-zero and positive.

Trait Implementations

impl Debug for Weibull

fn fmt(&self, f: &mut Formatter) -> Result<(), Error>

Formats the value using the given formatter.

impl Distribution<f64> for Weibull

fn sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng + ?Sized, 

Generate a random value of T, using rng as the source of randomness.

Important traits for DistIter<'a, D, R, T>

impl<'a, D, R, T> Iterator for DistIter<'a, D, R, T> where
    D: Distribution<T>,
    R: Rng + 'a,  type Item = T;

fn sample_iter<R>(&'a self, rng: &'a mut R) -> DistIter<'a, Self, R, T> where
    R: Rng, 

Create an iterator that generates random values of T, using rng as the source of randomness.

impl Copy for Weibull

impl Clone for Weibull

fn clone(&self) -> Weibull

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.