Type Definition ndarray::IxDyn [−][src]
Expand description
dynamic-dimensional
You can use the IxDyn
function to create a dimension for an array with
dynamic number of dimensions. (Vec<usize>
and &[usize]
also implement
IntoDimension
to produce IxDyn
).
use ndarray::ArrayD;
use ndarray::IxDyn;
// Create a 5 × 6 × 3 × 4 array using the dynamic dimension type
let mut a = ArrayD::<f64>::zeros(IxDyn(&[5, 6, 3, 4]));
// Create a 1 × 3 × 4 array using the dynamic dimension type
let mut b = ArrayD::<f64>::zeros(IxDyn(&[1, 3, 4]));
// We can use broadcasting to add arrays of compatible shapes together:
a += &b;
// We can index into a, b using fixed size arrays:
a[[0, 0, 0, 0]] = 0.;
b[[0, 2, 3]] = a[[0, 0, 2, 3]];
// Note: indexing will panic at runtime if the number of indices given does
// not match the array.
// We can keep them in the same vector because both the arrays have
// the same type `Array<f64, IxDyn>` a.k.a `ArrayD<f64>`:
let arrays = vec![a, b];
Implementations
Trait Implementations
IxDyn is a “dynamic” index, pretty hard to use when indexing, and memory wasteful, but it allows an arbitrary and dynamic number of axes.
For fixed-size dimension representations (e.g. Ix2
), this should be
Some(ndim)
, and for variable-size dimension representations (e.g.
IxDyn
), this should be None
. Read more
type SliceArg = [SliceOrIndex]
type SliceArg = [SliceOrIndex]
SliceArg
is the type which is used to specify slicing for this
dimension. Read more
type Smaller = Self
type Smaller = Self
Next smaller dimension (if applicable)
type Larger = Self
type Larger = Self
Next larger dimension
Convert the dimension into a pattern matching friendly value.
Creates a dimension of all zeros with the specified ndim. Read more
Compute the size while checking for overflow.
Borrow as a read-only array view.
Borrow as a read-write array view.
This trait is private to implement; this method exists to make it impossible to implement outside the crate. Read more