8/19/2023 0 Comments Matlab coder pythonI started a quick and dirty implementation before discovering SMOP. I was ready to convert manually a bunch of matlab scripts, but I thought I could have a script to automate some of the simple conversions and formatting. I've written this wrapper script for my own needs. The implemenation of matlab2python attempts to do that, at the price of less safety. In fact, matlab2python will likely be slightly worse than SMOP in producing a code that works out of the box.īut at the end, the code produced by matlab2python should require less refactoring and help the user in its conversion.Īs mentioned by the author of SMOP, it is difficult not to hide the matlab flavor from the code that is generated and it's also difficult to fully convert the code without introducing wrapped classes such that matlabarray. Most of the time, the user will have to go through the code and perform adjustements and some rewritting. Yet, neither SMOP nor matlab2python will generate code that is production-ready (it might in some cases). other misc functions like strcmp, strrep, reshape replaced by their python ,Īs mentioned above, SMOP does a great job to produce safe code.simple numpy replacements like zeros(3,4) to np.zeros((3,4)), or cosd(x), to np.cosd(np.pi/180 x).simple builtin functions replacements ( fprintf, disp, error, fopen).syntax ( def, if, for, _init_, no more end).If you need a script that performs the obvious conversions from matlab to python, matlab2python will hopefully work for you. matlablines2python( mlines, output = 'stdout') Should I use this # - Convert matlab lines (string or list of strings) mlines = """# a comment x = linspace(0,1,100) y = cos(x) x**2 """ pylines = mpars. matlab2python( 'path/to/file.m', output = 'file.py') Import matlabparser as mpars # - Convert a matlab file pylines = mpars. The code is written in python, you can access it as follows: Some function replacements were added directly there.Īdditional support for classes, import modules and other fine-tuning replacements (or hacks.) are done in the file matlabparser\parser.py. This implementation is made straightforward, since it basically use another backend script than the one used by SMOP, here called smop\backend_m2py.py. As a consequenc of all the above, the resulting code is "less safe" but maybe slightly closer to what a user would write.The properties declared in the body of the class are initialized in the constructor. Basic support for Matlab classes is added.It doesn't use the external classes matlabarray and cellarray from libsmop.It attemps to reindex arrays and loops, starting from 0 instead of 1.It uses typical shortcuts such as np instead of numpy. ![]() It attempts to produce code that does not rely on libsmop, but only on usual python modules such as numpy.The current implementation wraps around SMOP, with the following differences: This implementation relies heavily on the project SMOP by Victor Leikehman. A python script to convert matlab files or lines of matlab code to python.
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