Return multiple variables from MATLAB to Python

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Petru-Daniel Tudosiu
Petru-Daniel Tudosiu on 5 Feb 2017
Answered: Bo Li on 6 Feb 2017
I am using MATLAB for data processing and Python for Keras + TensorFlow. I must say that I am new to Python, but I am confortable coding in MATLAB.
I have a function in MATLAB which return 3 matrices and has the following signature:
function [noisyMFCC, targetIBM, targetIRM] = getTestingData(sampleTesting)
While in Python I wrote this:
import matlab.engine
class DataProcessor:
__matlabEngine = matlab.engine.start_matlab()
def getTestingData(self, isSampleTesting):
return DataProcessor.__matlabEngine.getTestingData(isSampleTesting)
def getTrainingData(self, isSampleTesting):
return DataProcessor.__matlabEngine.getTrainingData(isSampleTesting)
dp = DataProcessor()
a, b, c = dp.getTestingData(True)
And I receive the following error:
ValueError: too many values to unpack (expected 3)
So I assume that MATLAB engine returns some kind of structure or just one of the three returns.
I also tried a solution given by here :
a, b, c = dp.getTestingData(True, nargout=3)
And it returns (as expected):
TypeError: getTestingData() got an unexpected keyword argument 'nargout'
Apperently if I am to use the following line of code:
c = dp.getTestingData(True, nargout=3)
c is the first return element of the function, how do I get the rest?
Thank you for your time!

Accepted Answer

Bo Li
Bo Li on 6 Feb 2017
Apparently, "nargout" is a keyword argument defined for Python Engine. "dp.getTestingData(True, nargout=3)" does not work because the member function "getTestingData" of "class DataProcessor" does not accept this keyword argument. You can specify the number of output when calling Python Engine:
def getTestingData(self, isSampleTesting):
return DataProcessor.__matlabEngine.getTestingData(isSampleTesting, nargout=3)

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