Try to figure out the meaning of each byte by saving the bytes to a.

Use a hex editor (such as HxD) and look into a reference.As I've written the Python script at work, I'm afraid I cannot publish it. I've learned a lot of new stuff and it was quite fun (most of the time). I'm neither a Python expert nor a beginner and it took me about two days to write it (using the MathWorks documentation linked above). I've written a 'small' (about 700 lines) Python script which can read some basic. It also depends on how many features of the. It's not as complicated as I personally thought, but obviously, this is not the easiest way to go.

Otherwise, maybe NumPy is the right way to go?).Īlso, if you want to do all the basics yourself, MathWorks provides (if the link changes, try to google for matfile_format.pdf or its title MAT-FILE Format) a detailed documentation on the structure of the file format. However, I don't know if it is allowed to distribute it to other users (it is probably not a problem if those persons have MATLAB. If you have MATLAB, this might be worth considering (I haven't tried it myself but it has a lot more functionality than just reading MATLAB files). There is also the MATLAB Engine for Python by MathWorks itself.

The parameter data shall be a dict with the variables. it should be composed of simple data types, like dict, list, str, int, and float.Įxample: Save a Python data structure to a MAT-file: from mat4py import savemat Data has to be structured in the same way as for loadmat, i.e. Python data can be saved to a MAT-file, with the function savemat. Save a Python data structure to a MAT-file The variable data is a dict with the variables and values contained in the MAT-file. The resulting data structure is composed of simple types that are compatible with the JSON format.Įxample: Load a MAT-file into a Python data structure: from mat4py import loadmat Arrays are squeezed to eliminate arrays with only one element. Numeric and cell arrays are converted to row-ordered nested lists. The function loadmat loads all variables stored in the MAT-file into a simple Python data structure, using only Python’s dict and list objects. It is straightforward to use (from the website): There is a nice package called mat4py which can easily be installed using pip install mat4py

Read mat file in python