[−][src]Trait nshare::ToNdarray1

pub trait ToNdarray1 {
    type Out;
    fn to_ndarray1(self) -> Self::Out;
}

Converts a 1d type to a ndarray 1d array type.

This uses an associated type to avoid ambiguity for the compiler. By calling this, the compiler always knows the returned type.

Associated Types

type Out

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Required methods

fn to_ndarray1(self) -> Self::Out

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Implementations on Foreign Types

impl<'a, N: Scalar, R: Dim, RStride: Dim, CStride: Dim> ToNdarray1 for Vector<N, R, SliceStorage<'a, N, R, U1, RStride, CStride>>[src]

use nshare::ToNdarray1;
use nalgebra::Vector4;

let m = Vector4::new(
    0.1, 0.2, 0.3, 0.4f32,
);
let arr = m.rows(0, 4).to_ndarray1();
assert!(arr.iter().eq(&[0.1, 0.2, 0.3, 0.4]));
assert_eq!(arr.dim(), 4);

type Out = ArrayView1<'a, N>

impl<'a, N: Scalar, R: Dim, RStride: Dim, CStride: Dim> ToNdarray1 for Matrix<N, R, U1, SliceStorageMut<'a, N, R, U1, RStride, CStride>>[src]

use nshare::ToNdarray1;
use nalgebra::{Vector4, dimension::U2};

let mut m = Vector4::new(
    0.1, 0.2, 0.3, 0.4,
);
let arr = m.rows_generic_with_step_mut::<U2>(0, U2, 1).to_ndarray1().fill(0.0);
assert!(m.iter().eq(&[0.0, 0.2, 0.0, 0.4]));

type Out = ArrayViewMut1<'a, N>

impl<'a, N: Scalar> ToNdarray1 for DVector<N>[src]

use nshare::ToNdarray1;
use nalgebra::DVector;
use ndarray::s;

let m = DVector::from_vec(vec![
    0.1, 0.2, 0.3, 0.4,
]);
let arr = m.to_ndarray1();
assert_eq!(arr.dim(), 4);
assert!(arr.iter().eq(&[0.1, 0.2, 0.3, 0.4]));

type Out = Array1<N>

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Implementors

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