Load MATLAB .mat v7.3 files into Python native data types via h5py. Version 0.65, stable release with support for sparse matrices, cell arrays, and selective variable loading.
pip install mat73Verified import paths — ran on the pinned version, not inferred.
Load a .mat v7.3 file and inspect variable names.
Upgrade to >=0.60 and manually strip nulls if needed: s.split('\x00')[0]Upgrade to >=0.63 for correct sparse matrix support.
Use Python >=3.9.
Verify your .mat file is v7.3 by checking if h5py can open it, or use scipy.io.loadmat for older formats.
In >=0.65, use mat73.loadmat('file.mat', squeeze=False) to preserve dimensions.Use scipy.io.loadmat for legacy .mat files, or convert the file to v7.3 in MATLAB.
Check the file path and ensure the file exists.
Pass a string path or a file-like object opened in binary mode.