pub trait RandomExt<S, D>where
    S: DataOwned,
    D: Dimension,
{ fn random<Sh, IdS>(shape: Sh, distribution: IdS) -> ArrayBase<S, D>
    where
        IdS: Distribution<S::Elem>,
        Sh: ShapeBuilder<Dim = D>
; fn random_using<Sh, IdS, R>(
        shape: Sh,
        distribution: IdS,
        rng: &mut R
    ) -> ArrayBase<S, D>
    where
        IdS: Distribution<S::Elem>,
        R: Rng + ?Sized,
        Sh: ShapeBuilder<Dim = D>
; }
Expand description

Constructors for n-dimensional arrays with random elements.

This trait extends ndarray’s ArrayBase and can not be implemented for other types.

The default RNG is a fast automatically seeded rng (currently rand::rngs::SmallRng seeded from rand::thread_rng).

Note that SmallRng is cheap to initialize and fast, but it may generate low-quality random numbers, and reproducibility is not guaranteed. See its documentation for information. You can select a different RNG with .random_using().

Required Methods

Create an array with shape dim with elements drawn from distribution using the default RNG.

Panics if creation of the RNG fails or if the number of elements overflows usize.

extern crate rand;
extern crate ndarray;
extern crate ndarray_rand;

use rand::distributions::Uniform;
use ndarray::Array;
use ndarray_rand::RandomExt;

let a = Array::random((2, 5), Uniform::new(0., 10.));
println!("{:8.4}", a);
// Example Output:
// [[  8.6900,   6.9824,   3.8922,   6.5861,   2.4890],
//  [  0.0914,   5.5186,   5.8135,   5.2361,   3.1879]]

Create an array with shape dim with elements drawn from distribution, using a specific Rng rng.

Panics if the number of elements overflows usize.

Implementations on Foreign Types

Implementors