MATLAB engine connector
Meg: a MATLAB engine connector in Python
Meg is a Python module to interface with the MATLAB engine, allowing to transfer data between Python and MATLAB, and to call MATLAB code from Python.
Assuming you can run
matlab from the command line (i.e. the main MATLAB executable is in your PATH), using Meg is as simple as:
import meg import numpy with meg.Engine() as engine: data = numpy.empty((4,3)) # Copy Python data to the engine engine["data"] = data # Execute MATLAB instructions engine("count = numel(data)") # Get data from MATLAB print(engine["count"])
Connecting to MATLAB
The main workhorse of Meg is the
Engine object: it must be started before sending data between Python and MATLAB. An engine can be started (and automatically stopped) using the following syntax:
import meg with meg.Engine() as engine: # Interact with MATLAB pass # Once we reach this point, the engine has been automatically stopped.
Note that once an engine is stopped, all data stored inside which has not been transfered to Python is lost.
It is also possible to manually start and stop the engine:
import meg # Create the engine, but do not start it engine = meg.Engine() engine.open() # Interact with MATLAB engine.close()
For more complicated environment (e.g. multiple versions of MATLAB, executable not in PATH, etc.), it is possible to specify the root directory of your target installation of MATLAB, and the explicit command to run when starting the engine:
import meg # Target a specific installation of MATLAB meg.setup("/opt/MATLAB/R2012b") # Start the engine with a non-default command with meg.Engine("/opt/MATLAB/R2012b/bin/matlab -nosplash") as engine: pass
Getting data to and from MATLAB
Data can be exchanged between Python and MATLAB using the
Engine object: to store the content of the Python object name
foo in the MATLAB object called
bar, simply write
engine["bar"] = foo. The reverse operation (storing the content of the MATLAB object called
bar to a Python object called
foo = engine["bar"].
Numbers (and number containers) are translated as-is between MATLAB and Python. From Python, list, tuples and numpy arrays will be converted to MATLAB numeric arrays; from MATLAB, numeric arrays will be converted either to Python scalars or to numpy arrays.
From Python, heterogeneous containers (lists, tuples or numpy arrays containing object of different types) will be converted to MATLAB cell arrays; from MATLAB, cell arrays will be converted to numpy arrays.
From Python, dictionaries and structured numpy arrays are converted to MATLAB struct arrays, and the same applies to the reverse conversion.
Calling MATLAB code
MATLAB statements are run by calling the engine object: assuming you have stored an object called
x in MATLAB, computing the number of elements in it is done through
engine("count = numel(x)"). Note that objects are not automatically exchanged between Python and MATLAB: they must be explicitely stored in the MATLAB engine before using them in MATLAB code.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size meg-0.2.0-py3-none-any.whl (9.8 kB)||File type Wheel||Python version py3||Upload date||Hashes View hashes|
|Filename, size meg-0.2.0.tar.gz (8.4 kB)||File type Source||Python version None||Upload date||Hashes View hashes|