Metadata-Version: 1.1
Name: oct2py
Version: 1.1.1
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
Description: 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 seemlessly 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:
        
        ..
        
            >>> 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.
        
        
        Installation
        ------------
        You must have GNU Octave installed and in your PATH. On Windows, the easiest
        way to get Octave is to use an installer from `sourceforge <http://sourceforge.net/projects/octave/files/Octave%20Windows%20binaries/>`_..
        On Linux, it should be available from your package manager.
        Additionally, you must have the numpy and scipy libraries installed.
        
        To install Oct2py, simply:
        
        ..
        
            $ pip install oct2py
        
        Or, if you absolutely must:
        
        ..
        
            $ easy_install oct2py
        
        
        Documentation
        -------------
        
        Documentation is available at http://pythonhosted.org/oct2py/.
        
        
        .. :changelog:
        
        Release History
        ---------------
        
        1.1.1 (2013-11-14)
        ++++++++++++++++++
        - Added support for wheels.
        - Fixed: Put docs back in the manifest.
        - Fixed: Oct2py will install when there is no Octave available.
        
        1.1.0 (2013-10-27)
        ++++++++++++++++++
        
        - Full support for plotting with no changes to user code
        - Support for Nargout = 0
        - Overhaul of front end documentation
        - Improved test coverage and added badge.
        - Supports Python 2 and 3 from a single code base.
        - Fixed: Allow help(Oct2Py()) and tab completion on REPL
        - Fixed: Allow tab completion for Oct2Py().<TAB> in REPL
        
        
        1.0.0 (2013-10-4)
        +++++++++++++++++
        
        - Support for Python 3.3
        - Added logging to Oct2Py class with optional logger keyword
        - Added context manager
        - Added support for unicode characters
        - Improved support for cell array and sparse matrices
        - Fixed: Changes to user .m files are now refreshed during a session
        - Fixed: Remove popup console window on Windows
        
        
        0.4.0 (2013-01-05)
        ++++++++++++++++++
        
        - Singleton elements within a cell array treated as a singleton list
        - Added testing on 64 bit architecture
        - Fixed:  Incorrect Octave commands give a more sensible error message
        
        
        0.3.6 (2012-10-08)
        ++++++++++++++++++
         
        - Default Octave working directory set to same as OS working dir
        - Fixed: Plot rending on older Octave versions
        
        
        0.3.4 (2012-08-17)
        ++++++++++++++++++
        
        - Improved speed for larger matrices, better handling of singleton dimensions
        
        
        0.3.0 (2012-06-16)
        ++++++++++++++++++
        
        - Added Python 3 support
        - Added support for numpy object type
        
        
        0.2.1 (2011-11-25)
        ++++++++++++++++++
        
        - Added Sphinx documentation
        
        
        0.1.4 (2011-11-15)
        ++++++++++++++++++
        
        - Added support for pip
        
        
        0.1.0 (2011-11-11)
        ++++++++++++++++++
        
        - Initial Release
        
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 :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Requires: numpy (>= 1.6.0)
Requires: scipy (>= 0.9.0)
