Error when assigning categories to a tall array

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Peng Li 2020-3-25

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https://ww2.mathworks.cn/matlabcentral/answers/512875-error-when-assigning-categories-to-a-tall-array

评论： Sean de Wolski 2020-4-14

采纳的回答： Sean de Wolski

testSmall.mat

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I ran into a wiered problem for me as when I tried to assign categories to a tall array, it failed while it went through if I used the gathered version. See attached a small dataset as a test dataset (only 100 strings), and below a working example:

% test
load('testSmall.mat');
code    = "1";
meaning = "test";
res      = categorical(testSmall, code, meaning); % ok
testTall = tall(testSmall);
res2     = categorical(testTall, code, meaning);  % error occurred

The error message:

Error using categorical (line 528)

VALUESET must be numeric when DATA is numeric.

Error in tall/categorical>iGetOutputAdaptor (line 89)

localData = categorical([], extraArgs{:}, varargin{idx:end});

Error in tall/categorical (line 44)

outAdaptor = iGetOutputAdaptor(tdata,varargin{:});

It happened that when I nevigate into the categorical function, the first parameter (inputData) was always empty when I use the tall array testTall as the input. Why this happens?

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采纳的回答

Sean de Wolski 2020-3-31

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https://ww2.mathworks.cn/matlabcentral/answers/512875-error-when-assigning-categories-to-a-tall-array#answer_423090

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That also appears to be a bug in how tall handles scalar strings for cats and values. If you make code and meaning into vectors it works fine. Here I give them a dummy value:

code    = ["1" "2"];
meaning = ["test" "answer"];
res      = categorical(testSmall, code, meaning); % ok
testTall = tall(testSmall);
res2     = categorical(testTall, code, meaning);  

I'll report this one to development as it's completely reproducible.