matstruct_squeezed = sio.loadmat(matstruct_fname, squeeze_me=True) The last 2 items are already numpy arrays, FYI the MatlabOpaque class returns a numpy array:Īs for the output of loadmat() method, it seems some elements can be accessed directed if you know their name: Output: _header_ b'MATLAB 5.0 MAT-file, Platform: PCWIN64, Created on: Tue Feb 2 12:32:06 2021' If isinstance(v, np.ndarray): # Numpy array?
MATLAB 2019A UNABLE TO CONNECT FOR UPDATES CODE
In my code the numpy arrays are available as v under the if instance() statement: import scipy.io as sio Note it's useful to use type() and isinstance() to see what type of variables you're dealing with. Out: MatlabOpaque(, dtype=object)Īnd use item to pull the array out of the object dtype wrapper: In : em() Out: dtype()įrom which we can select fields: In : data But here it contains a structured array: In : data
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MatlabOpaque denotes some sort of MATLAB object or class that can't be totally converted to a Python/numpy. In an Ipython session: In : data = loadmat('./Downloads/CameraParams.mat')ĭata is a dict, from which we can use keys to view variables from the file: In : data