These files can be read in python using for instance the pytables or h5py package.
Matlab mat file version 7 3 or later.
In order to save your data to a mat file with version 7 3 or later specify the v7 3 flag as the version input argument.
Reading matlab structures in mat files does not seem supported at this point.
Matlab releases r2006b and later all support all mat file versions.
The only exception to this is when you create new mat files using the matfile function.
In this case the default mat file version is 7 3.
By default all save operations create version 7 mat files.
The only exception to this is when you create new mat files using the matfile function.
Learn more about matlab 2016b big data.
Beginning at release 7 3 of matlab mat files are actually saved using the hdf5 format by default except if you use the vx flag at save time see help save in matlab.
Your matlab is r2010a which should be later than v7 3.
If you look at the help of save v7 3 means version 7 0 features plus support for data items greater than or equal to 2gb on 64 bit systems which should be in your advantage.
By default all save operations create version 7 mat files.
By default all save operations create version 7 mat files.
It complaints that you try to save to a mat file older than 7 3.
In this case the default mat file version is 7 3.
The save variables to version 7 3 mat file example on that page shows the exact syntax.
As i had matlab 2019b i thought i would have the latest and greatest mat file version if i type the following ont he command line x evalc type savepath.
Bigger than 2gb data storage.
Matlab releases r2006b and later all support all mat file versions.
Matlab releases r2006b and later all support all mat file versions.
For variables larger than 2gb use mat file version 7 3 or later.
In this case the default mat file version is 7 3.
The only exception to this is when you create new mat files using the matfile function.
That is why the warnning message sounds strange.
