rendarray

The ndarray crate provides an N-dimensional container similar to numpy’s ndarray.

Please read the API documentation here__

__ http://bluss.github.io/rust-ndarray/

Highlights

• Generic N-dimensional array

• Owned arrays and views

  • ArrayBase: The N-dimensional array type itself.
  • Array: An array where the data is shared and copy on write, it can act as both an owner of the data as well as a lightweight view.
  • OwnedArray: An array where the data is owned uniquely.
  • ArrayView, ArrayViewMut: Lightweight array views.

• General slicing, also with steps > 1, and negative indices to mean elements from the end of the axis.

• Iteration and most operations are efficient on contiguous c-order arrays (the default layout, without any transposition or discontiguous subslicing).
• Array views can be used to slice and mutate any [T] data.

Status and Lookout

• Still iterating on the API
• Focus is on being a generic N-dimensional container
• Implements numpy striding and broadcasting
• Arithmetic operations and numerics need a rethink. They are not very well optimized.
• There is experimental bridging to the linear algebra package rblas.

Crate Feature Flags

• assign_ops

  • Optional, requires nightly
  • Enables the compound assignment operators

• rustc-serialize

  • Optional, stable
  • Enables serialization support

• rblas

  • Optional, stable
  • Enables rblas integration

|buildstatus| |crates|_

.. |buildstatus| image:: https://travis-ci.org/bluss/rust-ndarray.svg?branch=master .. _buildstatus: https://travis-ci.org/bluss/rust-ndarray

.. |crates| image:: http://meritbadge.herokuapp.com/rendarray .. _crates: https://crates.io/crates/rendarray

How to use with cargo::

[dependencies]
rendarray = "0.2"

Recent Changes

• Note: At some point in a future release, the indexing type Ix will change to usize

• 0.2.0-alpha.5

  • Add s![...], a slice argument macro.
  • Add aview_mut1(), zeros()
  • Add .diag_mut() and deprecate .diag_iter_mut(), .sub_iter_mut()
  • Add .uget(), .uget_mut() for unchecked indexing and deprecate the old names.
  • Improve ArrayBase::from_elem
  • Removed SliceRange, replaced by From impls for Si.

• 0.2.0-alpha.4

  • Slicing methods like .slice() now take a fixed size array of Si as the slice description. This allows more type checking to verify that the number of axes is correct.
  • Add experimental rblas integration.
  • Add into_shape() which allows reshaping any array or view kind.

• 0.2.0-alpha.3

  • Add and edit a lot of documentation

• 0.2.0-alpha.2

  • Improve performance for iterators when the array data is in the default memory layout. The iterator then wraps the default slice iterator and loops will autovectorize.
  • Remove method .indexed() on iterators. Changed Indexed and added ÌndexedMut.
  • Added .as_slice(), .as_mut_slice()
  • Support rustc-serialize

• 0.2.0-alpha

  • Alpha release!
  • Introduce ArrayBase, OwnedArray, ArrayView, ArrayViewMut
  • All arithmetic operations should accept any array type
  • Array continues to refer to the default reference counted copy on write array
  • Add .view(), .view_mut(), .to_owned(), .into_shared()
  • Add .slice_mut(), .subview_mut()

  • Some operations now return OwnedArray:

  • .map()

  • .sum()

  • .mean()

  • Add get, get_mut to replace the now deprecated at, at_mut.

  • Fix bug in assign_scalar

• 0.1.1

  • Add Array::default
  • Fix bug in rawdatamut

• 0.1.0

  • First release on crates.io
  • Starting point for evolution to come

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.