Metadata-Version: 2.0
Name: oct2py
Version: 3.3.0
Summary: Python to GNU Octave bridge --> run m-files from python.
Home-page: http://github.com/blink1073/oct2py
Author: Steven Silvester
Author-email: steven.silvester@ieee.org
License: MIT
Download-URL: http://github.com/blink1073/oct2py
Platform: Any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Requires: numpy (>= 1.7.1)
Requires: scipy (>= 0.12)

Oct2Py: Python to GNU Octave Bridge
===================================

.. image:: https://badge.fury.io/py/oct2py.png/
    :target: http://badge.fury.io/py/oct2py

.. image:: https://pypip.in/d/oct2py/badge.png
        :target: https://crate.io/packages/oct2py/

.. image:: https://coveralls.io/repos/blink1073/oct2py/badge.png?branch=master
  :target: https://coveralls.io/r/blink1073/oct2py


Oct2Py is a means to seamlessly call M-files and Octave functions from Python.
It manages the Octave session for you, sharing data behind the scenes using
MAT files.  Usage is as simple as:

.. code-block:: python

    >>> oc = oct2py.Oct2Py()
    >>> x = oc.zeros(3,3)
    >>> print(x, x.dtype)
    [[ 0.  0.  0.]
     [ 0.  0.  0.]
     [ 0.  0.  0.]] float64
    ...

If you want to run legacy m-files, do not have MATLAB(TM), and do not fully
trust a code translator, this is your library.


Features
--------

- Supports all Octave datatypes and most Python datatypes and Numpy dtypes.
- Provides OctaveMagic_ for IPython, including inline plotting in notebooks.
- Supports cell arrays and structs with arbitrary nesting.
- Supports sparse matrices.
- Builds methods on the fly linked to Octave commands (e.g. `zeros` above).
- Nargout is automatically inferred by the number of return variables.
- Thread-safety: each Oct2Py object uses an independent Octave session.
- Can be used as a context manager.
- Supports Unicode characters.
- Supports logging of session commands.
- Optional timeout command parameter to prevent runaway Octave sessions.


.. _OctaveMagic: http://nbviewer.ipython.org/github/blink1073/oct2py/blob/master/example/octavemagic_extension.ipynb?create=1


Installation
------------
You must have GNU Octave 3.6 or newer installed and in your PATH.
On Windows, the easiest way to get Octave is to use an installer from SourceForge_.
You must have the Numpy and Scipy libraries installed. 
On Linux, it should be available from your package manager.

To install Oct2Py, simply:

.. code-block:: bash

    $ pip install oct2py


Documentation
-------------

Documentation is available online_.

For version information, see the Revision History_.


.. _SourceForge: http://sourceforge.net/projects/octave/files/Octave%20Windows%20binaries/

.. _online: http://blink1073.github.io/oct2py/

.. _History: https://github.com/blink1073/oct2py/blob/master/HISTORY.rst


