#Decrypt p file matlab tutorial how to#
If you know how to add string data, please comment.
Matlab Helper Function function table_to_hdf5(T, path, group) I've created a simple helper function to convert a Matlab table to a standard hdf5 file, and another helper function in Python to extract the data into a Pandas DataFrame. However, if you are working with a Matlab table, then IMHO the best solution is to avoid the save option altogether. If you are only reading in basic arrays and structs, see vikrantt's answer on a similar post.
X = eng.eval('parameterised_function_in_Matlab(1, 1)', nargout=1)Ī = eng.eval('Structured_variable.object_name') # (nested cell, cell, object) If accessing the disk is slow, maybe loading to memory would help.įurther edit: after much futile searching my final workaround (I really hope someone else has a better solution!) was calling Matlab from python which is pretty easy and fast: eng = _matlab() # first fire up a Matlab instanceĮng = _matlab() # or connect to an existing one When MATLAB P-codes a file, the file is obfuscated not encrypted. p file extension), and distribute your application code in this format. Pass this reference to f again: f]Ĭonvert this to a numpy array and extract the value (or, recursively, another : np.array(f]) Deploy as P-code Convert some or all of your source code files to a content-obscured form called a P-code file (from its. So starting with (I think the arises from Matlab giving everything to dimensions): f = h5py.File('filename', 'r') Hopefully this partial answer will help someone, and I'd be very happy to see extra pointers. Despite hours of searching I've not found how to access Matlab v7.3 structures either.