https://github.com/ndarray/ndarray

NumPy-compatible multidimensional arrays in C++
https://github.com/ndarray/ndarray

Last synced: about 2 months ago
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NumPy-compatible multidimensional arrays in C++

• Host: GitHub
• URL: https://github.com/ndarray/ndarray
• Owner: ndarray
• License: bsd-2-clause
• Created: 2012-02-19T18:55:43.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2023-06-21T03:05:24.000Z (over 1 year ago)
• Last Synced: 2024-03-26T08:20:45.151Z (6 months ago)
• Language: C++
• Homepage:
• Size: 3.91 MB
• Stars: 158
• Watchers: 20
• Forks: 34
• Open Issues: 25
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

        
ndarray: NumPy-friendly multidimensional arrays in C++

======================================================

![Build Status](https://github.com/ndarray/ndarray/workflows/build_and_test/badge.svg)

ndarray is a template library that provides multidimensional array

objects in C++, with an interface and features designed to mimic the

Python 'numpy' package as much as possible.

More information can be found in the [documentation at

ndarray.github.io/ndarray](https://ndarray.github.io/ndarray/).

Installation

------------

ndarray can be built and tested with CMake:

    mkdir build

    cd build

    cmake ..

    make

    make test

Inclusion and testing of optional dependencies is controlled by NDARRAY_* cmake

options. Dependency resolution can be controlled by the PYBIND11_DIR,

EIGEN_DIR, and FFTW_DIR environment variables. For example, to build with an

alternate Eigen3 install location and disable FFTW testing replace `cmake ..`

with `EIGEN_DIR=/opt/local cmake -DNDARRY_FFTW=OFF ..`.

ndarray's build system does not produce the correct suffixes for pybind11

outputs under pybind11 2.1.x (due to a bug in pybind11 itself).  To avoid this

problem, please upgrade to pybind11 2.2.x, or try the (now reverted) patch from

ndarray commit f46c0f0ff876ceab5aaa3286e5f6e86902e72feb.

Version 1.4.2 of ndarray is the last version to support SWIG.

Version 1.5.3 of ndarray is the last verison to support Boost.Python.