[−][src]Trait nshare::ToNdarray1
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
Loading content...Required methods
pub fn to_ndarray1(self) -> Self::Out
[src]
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>
pub fn to_ndarray1(self) -> Self::Out
[src]
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>
pub fn to_ndarray1(self) -> Self::Out
[src]
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]));