Crate ndarray [] [src]

The ndarray crate provides an N-dimensional container for general elements and for numerics.

  • ArrayBase: The N-dimensional array type itself.
    It is used to implement both the owned arrays and the views; see its docs for an overview of all array features.
  • The main specific array type is Array, which owns its elements.

Highlights

  • Generic N-dimensional array
  • Slicing, also with arbitrary step size, and negative indices to mean elements from the end of the axis.
  • Views and subviews of arrays; iterators that yield subviews.
  • Higher order operations and arithmetic are performant
  • Array views can be used to slice and mutate any [T] data using ArrayView::from and ArrayViewMut::from.

Crate Status

  • Still iterating on and evolving the crate
    • The crate is continuously developing, and breaking changes are expected during evolution from version to version. We adopt the newest stable rust features if we need them.
  • Performance:
    • Prefer higher order methods and arithmetic operations on arrays first, then iteration, and as a last priority using indexed algorithms.
    • The higher order functions like .map(), .map_inplace() and .zip_mut_with() are the most efficient ways to perform single traversal and lock step traversal respectively.
    • Performance of an operation depends on the memory layout of the array or array view. Especially if it's a binary operation, which needs matching memory layout to be efficient (with some exceptions).
    • Efficient floating point matrix multiplication even for very large matrices; can optionally use BLAS to improve it further.

Crate Feature Flags

The following crate feature flags are available. They are configured in your Cargo.toml.

  • rustc-serialize
    • Optional, compatible with Rust stable
    • Enables serialization support for rustc-serialize 0.3
  • serde
    • Optional, compatible with Rust stable
    • Enables serialization support for serde 0.8
  • blas
    • Optional and experimental, compatible with Rust stable
    • Enable transparent BLAS support for matrix multiplication. Pluggable backend via blas-sys.

Modules

linalg

Linear algebra.

prelude

ndarray prelude.

Macros

s

Slice argument constructor.

stack

Stack arrays along the given axis.

Structs

ArrayBase

An N-dimensional array.

Axes

An iterator over the length and stride of each axis of an array.

Axis

An axis index.

AxisChunksIter

An iterator that traverses over the specified axis and yields views of the specified size on this axis.

AxisChunksIterMut

An iterator that traverses over the specified axis and yields mutable views of the specified size on this axis.

AxisDescription

Description of the axis, its length and its stride.

AxisIter

An iterator that traverses over an axis and and yields each subview.

AxisIterMut

An iterator that traverses over an axis and and yields each subview (mutable)

Dim

Dimension description.

IndexedIter

An iterator over the indexes and elements of an array.

IndexedIterMut

An iterator over the indexes and elements of an array (mutable).

Indices

An iterator over the indexes of an array shape.

InnerIter

An iterator that traverses over all dimensions but the innermost, and yields each inner row.

InnerIterMut

An iterator that traverses over all dimensions but the innermost, and yields each inner row (mutable).

Iter

An iterator over the elements of an array.

IterMut

An iterator over the elements of an array (mutable).

Shape

A contiguous array shape of n dimensions.

ShapeError

An error related to array shape or layout.

Si

A slice, a description of a range of an array axis.

StrideShape

An array shape of n dimensions in c-order, f-order or custom strides.

ViewRepr

Array view’s representation.

Enums

ErrorKind

Error code for an error related to array shape or layout.

Constants

S

Slice value for the full range of an axis.

Traits

AsArray

Argument conversion into an array view

Data

Array representation trait.

DataClone

Array representation trait.

DataMut

Array representation trait.

DataOwned

Array representation trait.

DataShared

Array representation trait.

Dimension

Array shape and index trait.

FixedInitializer

Fixed-size array used for array initialization

IntoDimension

Convert a value into a dimension.

LinalgScalar

Elements that support linear algebra operations.

NdFloat

Floating-point element types f32 and f64.

NdIndex

Tuple or fixed size arrays that can be used to index an array.

RemoveAxis

Array shape with a next smaller dimension.

ScalarOperand

Elements that can be used as direct operands in arithmetic with arrays.

ShapeBuilder

A trait for Shape and D where D: Dimension that allows customizing the memory layout (strides) of an array shape.

Functions

Dim

Create a new dimension value.

Ix0

Create a zero-dimensional index

Ix1

Create a one-dimensional index

Ix2

Create a two-dimensional index

Ix3

Create a three-dimensional index

Ix4

Create a four-dimensional index

Ix5

Create a five-dimensional index

Ix6

Create a six-dimensional index

arr0

Create a zero-dimensional array with the element x.

arr1

Create a one-dimensional array with elements from xs.

arr2

Create a two-dimensional array with elements from xs.

arr3

Create a three-dimensional array with elements from xs.

aview0

Create a zero-dimensional array view borrowing x.

aview1

Create a one-dimensional array view with elements borrowing xs.

aview2

Create a two-dimensional array view with elements borrowing xs.

aview_mut1

Create a one-dimensional read-write array view with elements borrowing xs.

indices

Create an iterator over the array shape shape.

indices_of

Create an iterator over the indices of the passed-in array.

rcarr1

Create a one-dimensional array with elements from xs.

rcarr2

Create a two-dimensional array with elements from xs.

rcarr3

Create a three-dimensional array with elements from xs.

stack

Stack arrays along the given axis.

Type Definitions

Array

An array that owns its data uniquely.

Array0

zero-dimensional array

Array1

one-dimensional array

Array2

two-dimensional array

Array3

three-dimensional array

Array4

four-dimensional array

Array5

five-dimensional array

Array6

six-dimensional array

ArrayD

dynamic-dimensional array

ArrayView

A lightweight array view.

ArrayView0

zero-dimensional array view

ArrayView1

one-dimensional array view

ArrayView2

two-dimensional array view

ArrayView3

three-dimensional array view

ArrayView4

four-dimensional array view

ArrayView5

five-dimensional array view

ArrayView6

six-dimensional array view

ArrayViewD

dynamic-dimensional array view

ArrayViewMut

A lightweight read-write array view.

ArrayViewMut0

zero-dimensional read-write array view

ArrayViewMut1

one-dimensional read-write array view

ArrayViewMut2

two-dimensional read-write array view

ArrayViewMut3

three-dimensional read-write array view

ArrayViewMut4

four-dimensional read-write array view

ArrayViewMut5

five-dimensional read-write array view

ArrayViewMut6

six-dimensional read-write array view

ArrayViewMutD

dynamic-dimensional read-write array view

Ix

Array index type

Ix0

zero-dimensionial

Ix1

one-dimensional

Ix2

two-dimensional

Ix3

three-dimensional

Ix4

four-dimensional

Ix5

five-dimensional

Ix6

six-dimensional

IxDyn

dynamic-dimensional

Ixs

Array index type (signed)

OwnedArray [Deprecated]

Array where the data is owned uniquely.

RcArray

An array where the data has shared ownership and is copy on write. It can act as both an owner as the data as well as a shared reference (view like).

RcArray1

one-dimensional shared ownership array

RcArray2

two-dimensional shared ownership array