How to downsample cell arrays based on specific criteria?

Hello everyone,

So far I have, thanks to the MVP Jan, a macro ready data table for the majority of 3D printers which are stationed in our lab. In order to improve the printing time as well as the macro running time I came to the conclusion that I need to downsample some of the data based on the current computer processing power in the lab. In order to achieve this I wanted to specifically reduce the amount of rows in the data file according to this code:

for counter = 1:Datalimit                               
% The counter goes up until the Datalimit (value based on integer type) is reached
    
        criteria_1 = round(height(EXPORT{1,1})*0.1);    
        % By counting the height of the EXPORT variable the amount of data is reduced
        
        EXPORT{1,(counter)}...  
        % The criteria will be used for every cell array. E.g EXPORT{1,1}, EXPORT{1,2}
        %(not sure is if this line is neccesary) 
            
        = downsample(...
            
        EXPORT{1,counter},criteria_1... 
        % As seen here the first argument represents the current target(current cell array) of the criteria
        % The second argument is the postive integer which reduces the cell array
        
        );
        
    end

The problem of here is that my code deletes some important strings as well as values from the EXPORT variable. Hence I need to "insert" some exception for the following...

a.) Strings: 'StartCurve','EndCurve'

b.) Values : -75 and 75

Is this achievable with the following toolboxes as well as my current code?

Do you have proper approach for this problem?

Answer 1

[Jan]

It would be much easier to reduce the number of points before you convert the nermical data to cell arrays.

See my answer in the other question concerning this problem: https://www.mathworks.com/matlabcentral/answers/762566-how-to-deal-with-nested-arrays-where-the-columns-and-rows-are-in-different-dimensions

    if ischar(In{k});
        Out{k} = {In{k}, [], []};  % Or '' instead of [] ?
    else
        % Reduce the array size here.
        smallerIn_k = resample(In{k}, ???)
        Out{k} = num2cell(smallerIn_k);
    end

Are you really sure that it is useful to convert these data to a cell array?

[David Mrozek]

I am aware of the last post.However I have taken your advice and reduced the number of points (before the conversion) based on a data point limit which I aquired by plotting the amount of total data points as a function of the time which is necessary to process them in the script. I repeated this process for all our lab computers which were available. In total I reduced the script running time in an intervall between 27,4 and 36,9 % (depending on the current operating lab computer) compared to the unreduced data. So thank you very much for this little but helpful hint!