maoe/ndarray

ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

ndarray

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

Please read the API documentation on docs.rs or take a look at the quickstart tutorial.

Highlights

• Generic 1, 2, ..., n-dimensional arrays
• Owned arrays and array views
• 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.

Status and Lookout

• 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.
  • 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.

• std

  • Rust standard library (enabled by default)

  • This crate can be used without the standard library by disabling the default std feature. To do so, use this in your Cargo.toml:

    [dependencies] ndarray = { version = "0.x.y", default-features = false }

  • The geomspace linspace logspace range std var var_axis and std_axis methods are only available when std is enabled.

• serde

  • Enables serialization support for serde 1.x

• rayon

  • Enables parallel iterators, parallelized methods and par_azip!.
  • Implies std

• blas

  • Enable transparent BLAS support for matrix multiplication. Uses blas-src for pluggable backend, which needs to be configured separately (see below).

How to use with cargo

[dependencies]
ndarray = "0.14.0"

How to enable blas integration. Depend on blas-src directly to pick a blas provider. Depend on the same blas-src version as ndarray does, for the selection to work. An example configuration using system openblas is shown below. Note that only end-user projects (not libraries) should select provider:

[dependencies]
ndarray = { version = "0.14.0", features = ["blas"] }
blas-src = { version = "0.7.0", default-features = false, features = ["openblas"] }
openblas-src = { version = "0.9", default-features = false, features = ["cblas", "system"] }

For official releases of ndarray, the versions are:

ndarray	blas-src	openblas-src
0.15	0.7.0	0.9.0
0.14	0.6.1	0.9.0
0.13	0.2.0	0.6.0
0.12	0.2.0	0.6.0
0.11	0.1.2	0.5.0

Recent Changes

See RELEASES.md.

License

Dual-licensed to be compatible with the Rust project.

Licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0 or the MIT license http://opensource.org/licenses/MIT, at your option. This file may not be copied, modified, or distributed except according to those terms.