Skip to main content

Python to GNU Octave bridge --> run m-files from python.

Project description

https://badge.fury.io/py/oct2py.png/ https://pypip.in/d/oct2py/badge.png https://coveralls.io/repos/blink1073/oct2py/badge.png?branch=master

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(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.

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. You can specify the path to your Octave executable by creating an OCTAVE_EXECUTABLE environmental variable.

To install Oct2Py, simply:

$ pip install oct2py

Documentation

Documentation is available online.

For version information, see the Revision History.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

oct2py-3.5.3.zip (712.5 kB view details)

Uploaded Source

oct2py-3.5.3.tar.gz (668.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

oct2py-3.5.3-py2.py3-none-any.whl (40.9 kB view details)

Uploaded Python 2Python 3

File details

Details for the file oct2py-3.5.3.zip.

File metadata

  • Download URL: oct2py-3.5.3.zip
  • Upload date:
  • Size: 712.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for oct2py-3.5.3.zip
Algorithm Hash digest
SHA256 fb2028620f40ef9e9e64fba4220e7c8bfc77e144a6cab67dd08a226e8e8d59fe
MD5 c4cce3dfad336bac29ec5f9318f97272
BLAKE2b-256 ec5f2177dc5e40d801aa863eb24fda6a6c11bb07107beaaf0e1d9c160f605d35

See more details on using hashes here.

File details

Details for the file oct2py-3.5.3.tar.gz.

File metadata

  • Download URL: oct2py-3.5.3.tar.gz
  • Upload date:
  • Size: 668.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for oct2py-3.5.3.tar.gz
Algorithm Hash digest
SHA256 b6705342e5bfbd22195f96f4595c60446a075e79fd965b035ae127fdfd227854
MD5 1f2102ed06635b98442159dd7626e1da
BLAKE2b-256 e4dded2ead8d6df0722bb82d8186eb3922e652622f7539555118d574d978a530

See more details on using hashes here.

File details

Details for the file oct2py-3.5.3-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for oct2py-3.5.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 97fdd3b55676c6fd1194a4ad5c4d6f0ea917bcbd5c7f041da863674091bd3ca1
MD5 d3176d0a75150e7415e6012bfcea616b
BLAKE2b-256 d9e7a7b8ce4fcc2756f6682697b636fcba3f2c05e6ab95848751073a2b835644

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page