What would be the most performant function (scanf, fscanf, load, textread) and file format (dat, mat, txt, csv) combination to read a file in Octave that contains a cell array?
And which function should I use to store the cell array in that file, in the most read-performant format defined above?
Note that performance is more important for the read operation, since that’s the one I’ll be using the most. But having a performant function to write the files would be desirable too.
octave:1> MyCell = {'a', 'cell', 'with', 5, 'elements'};
octave:2> save -binary myworkspace.dat MyCell
octave:3> clear
octave:4> load -binary myworkspace.dat
octave:5> MyCell
MyCell =
{
[1,1] = a
[1,2] = cell
[1,3] = with
[1,4] = 5
[1,5] = elements
}
or
octave:6> S = load ('-binary', 'myworkspace.dat');
octave:7> S.MyCell
ans =
{
[1,1] = a
[1,2] = cell
[1,3] = with
[1,4] = 5
[1,5] = elements
}