reading v 7.3 mat file in python

Question

I am trying to read a matlab file with the following code

import scipy.io
mat = scipy.io.loadmat(\'test.mat\')

and it gives me the followin

Answer 1

This function reads Matlab-produced HDF5 .mat files, and returns a structure of nested dicts of Numpy arrays. Matlab writes matrices in Fortran order, so this also transposes matrices and higher-dimensional arrays into conventional Numpy order arr[..., page, row, col].

import h5py

def read_matlab(filename):
    def conv(path=''):
        p = path or '/'
        paths[p] = ret = {}
        for k, v in f[p].items():
            if type(v).__name__ == 'Group':
                ret[k] = conv(f'{path}/{k}')  # Nested struct
                continue
            v = v[()]  # It's a Numpy array now
            if v.dtype == 'object':
                # HDF5ObjectReferences are converted into a list of actual pointers
                ret[k] = [r and paths.get(f[r].name, f[r].name) for r in v.flat]
            else:
                # Matrices and other numeric arrays
                ret[k] = v if v.ndim < 2 else v.swapaxes(-1, -2)
        return ret

    paths = {}
    with h5py.File(filename, 'r') as f:
        return conv()

Answer 2

import h5py
import numpy as np
filepath = '/path/to/data.mat'
arrays = {}
f = h5py.File(filepath)
for k, v in f.items():
    arrays[k] = np.array(v)

you should end up with your data in the arrays dict, unless you have MATLAB structures, I suspect. Hope it helps!