Load matlab .mat export of signal logs in python

Question

I am exporting signals in matlab R2023a like this:

save logs.mat logsout -v7

v7 is recomended version for reading the file in python (seen in different threads).

However, the file read by python is different from what I have in matlab. In matlab I have a nice dataset:

but after reading it in python with following code:

from scipy.io import loadmat  # this is the SciPy module that loads mat-files
mat = loadmat('logs.mat')

this is what I see:

Instead of structure, I have a array of shape (1, 277355408). What do I miss? I need to process the signals in python after generating.

Answer 1

It seems, as suggested by @hpaulj - loadmat can handle matlab matrix, cell, and struct. Looks like it can't handle a dataset. I solved it by exporting variables alone like this:

logsout{1}.Values.Data 
save(logsout{1}.Name, 'ans', '-v7')

Just an example for first signal.

Now I can read it with scipy. However, there is also way to save it as hdf5 file and read and work with it as follows:

import nexusformat.nexus as nx
f = nx.nxload('logs.h5')
prem = f.tree # this can be used to print the tree

#or like this
import h5py
f = h5py.File('logs.h5', 'r')