Handling Missing values in cell array from Excel cell extraction

I am directly referencing this previous question. I believe it is a good response. However, the issue for me is that the cell array I have in matlab is a character array and cellfun is returning a cell array of vectors for each character. MATLAB was throwing an error about setting 'UniformOutput' to false, which I did, and is when I realized this code runs but is not what I need. I should keep it to true so as to properly index which cells to remove.

example cell character array

extractedData.partCategories = {'xyz'} {'xyz'} {'xyz'} {1x1 <missing>} {1x1 <missing>}

Code

% Extract data with type conversion and error handling
% % <custom code to extract from Excel % %


% Clean up missing values in string cell arrays
mask = cellfun(@ismissing, extractedData.partCategories, 'UniformOutput', false);
extractedData.partCategories(mask) = {[]};

Then mask variable outputs:

[false, false, false]

[false, false, false]

[false, false, false]

true

true

Which I need it to output:

false

false

false

true

true

Answer 1

[Walter Roberson]

mask = cellfun(@(C)any(ismissing(C(:))), extractedData.partCategories, 'UniformOutput', false);

[Ty]

Hi, thank you! The following code precisely works.

before:

mask = cellfun(@ismissing, extractedData.partCategories, 'UniformOutput', false);
extractedData.partCategories(mask) = {[]};

after:

mask = cell2mat(cellfun(@(C)any(ismissing(C(:))), extractedData.partCategories, 'UniformOutput', false));
extractedData.partCategories(mask) = []; % using {[]} just makes empty matrix cells, using [] removes them

[Walter Roberson]

mask = cellfun(@(C)any(ismissing(C(:))), extractedData.partCategories);

without the cell2mat should work