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:
>>> 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®, and do not fully trust a code translator, this is your library.
- 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.
You must have GNU Octave 3.6 or newer installed and in your PATH.
You must have the Numpy and Scipy libraries for Python installed.
See the installation instructions for more details.
Once the dependencies have been installed, run:
$ pip install oct2pyIf using conda, it is available on conda-forge:
$ conda install -c conda-forge oct2pyDocumentation is available online.
For version information, see the Revision History.