These files can be read in python using for instance the pytables or h5py package.
Matlab mat file version 7 3 or later.
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.
That is why the warnning message sounds strange.
The save variables to version 7 3 mat file example on that page shows the exact syntax.
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.
Your matlab is r2010a which should be later than v7 3.
Reading matlab structures in mat files does not seem supported at this point.
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.
In this case the default mat file version is 7 3.
It complaints that you try to save to a mat file older than 7 3.
The only exception to this is when you create new mat files using the matfile function.
Matlab releases r2006b and later all support all mat file versions.
In this case the default mat file version is 7 3.
By default all save operations create version 7 mat files.
By default all save operations create version 7 mat files.
Learn more about matlab 2016b big data.
Matlab releases r2006b and later all support all mat file versions.
Bigger than 2gb data storage.
For variables larger than 2gb use mat file version 7 3 or later.
When you create a new file using matfile the function creates a version 7 3 mat file that also lets you save variables larger than 2 gb.
Matlab releases r2006b and later all support all mat file versions.
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.
The only exception to this is when you create new mat files using the matfile function.
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