The save variables to version 7 3 mat file example on that page shows the exact syntax.
Matlab mat file version 7 3.
The only exception to this is when you create new mat files using the matfile function.
Reading matlab structures in mat files does not seem supported at this point.
Matlab 7 5 r2007b 18 1 6 0 september 1 2007.
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.
Convert existing mat files to version 7 3 by calling the save function with the v7 3 option such as.
To identify or change the default mat file version access the mat files preferences.
However by default the save function creates version 7 mat files.
To identify or change the default mat file version access the mat files preferences.
For cell arrays structure arrays or other containers that can store heterogeneous data types version 7 3 mat files are sometimes larger than version 7 mat files.
By default all save operations create version 7 mat files.
Your matlab is r2010a which should be later than v7 3.
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.
Matlab 7 2 r2006a 15 1 5 0 2006 march 1 2006 matlab 7 3 r2006b 16 1 5 0 september 1 2006 hdf5 based mat file support matlab 7 4 r2007a 17 1 5 0 07 2007 march 1 2007 new bsxfun function to apply element by element binary operation with singleton expansion enabled.
In this case the default mat file version is 7 3.
Creates a mat file that supports partial loading and saving.
By default all save operations create version 7 mat files.
To view or set the default version for mat files go to the home tab and in the environment section click preferences.
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.
These files can be read in python using for instance the pytables or h5py package.
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.