perstep = 10498;
col2 = YourTable{:,2};
col3 = YourTable{:,3};
L = numel(col2);
full_steps = floor(L / perstep);
left_over = L - full_steps * perstep;
if left_over ~= 0
padding_size = perstep - left_over;
padding = nan(padding_size, 1);
col2 = [col2; padding];
col3 = [col3; padding];
end
col2 = reshape(col2, perstep, []);
col3 = reshape(col3, perstep, []);
It is not clear what you want on your x axes or y axes.
At the end of the code posted above, col2 and col3 are each 2D arrays, with as many rows as perstep (10498), and as many columns as needed to complete the signal (in particular, 100 columns). The final column in each of the two is padded with nan to complete the 10498 samples.
What to do next depends on what you want plotted. You could now, for example,
plot(col2)
and the result would be a plot with 100 lines, one per timestep.
