How to separate groups of numbers between NaN in new variables?

Hello everyone, I have a vector similar to this:

v = [NaN NaN 1 2 3 4 5 NaN NaN 6 7 8 9 10 NaN NaN NaN NaN 11 12 13 14 15 16 17 18 NaN NaN]

I would like to separate the sets of numbers into new variables. Then it would look like this:

v1 = [1 2 3 4 5]

v2 = [6 7 8 9 10]

v3 = [11 12 13 14 15 16 17 18]

I thought a lot about how to do this but I could not, I could do it manually, but it's a lot of numbers and it would be very hard work. So I decided to ask here. If anyone can help me, I will be very grateful.

[Stephen23]

@Robson Passos: creating numbered variables like this is a sign that you are doing something wrong. Rather than creating pseudo indices you would be much better off turning them into real indices: real indices will be simpler, more efficient, less buggy, and easier to debug. Read this to know why:

https://www.mathworks.com/matlabcentral/answers/304528-tutorial-why-variables-should-not-be-named-dynamically-eval

Answer 1

[Image Analyst]

If you have the Image Processing Toolbox, it's trivial - just one lines of code (a call to regionprops):

v = [NaN NaN 1 2 3 4 5 NaN NaN 6 7 8 9 10 NaN NaN NaN NaN 11 12 13 14 15 16 17 18 NaN NaN]
props = regionprops(~isnan(v), v, 'PixelValues')
% Now you're done.  Results are in the props structure array.
% To show you , print them out:
for k = 1 : length(props)
  fprintf('Values in region #%d = ', k);
  fprintf('%d ', props(k).PixelValues);
  fprintf('\n'); % Go to new line.
end

In the command window you'll see:

props = 
  3×1 struct array with fields:
    PixelValues
Values in region #1 = 1 2 3 4 5 
Values in region #2 = 6 7 8 9 10 
Values in region #3 = 11 12 13 14 15 16 17 18

Answer 2

[Stephen23]

>> v = [NaN NaN 1 2 3 4 5 NaN NaN 6 7 8 9 10 NaN NaN NaN NaN 11 12 13 14 15 16 17 18 NaN NaN];
>> idd = diff([true,isnan(v),true]);
>> idb = find(idd<0);
>> ide = find(idd>0)-1;
>> out = arrayfun(@(b,e)v(b:e),idb,ide,'uni',0)
>> out{:}
ans =
   1   2   3   4   5
ans =
    6    7    8    9   10
ans =
   11   12   13   14   15   16   17   18