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I have trouble with cell arrays

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David
David el 9 de Oct. de 2014
Editada: José-Luis el 9 de Oct. de 2014
I currently have a 1x4 cell array where each of the four elements is a 134x1 array of different data types. The cell array was created from a text file by a textscan call. What I wanted is a 134x4 cell array. How do I get there?
  1 comentario
José-Luis
José-Luis el 9 de Oct. de 2014
Well, a solution is not to use textscan() but a lower level routine like sscanf() that will allow you to specify formats for all elements.

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Respuestas (2)

Adam
Adam el 9 de Oct. de 2014
res = C{:};
where C is your cell array would work in this case.
  5 comentarios
Adam
Adam el 9 de Oct. de 2014
num2cell([c{:}])
I think is what is needed to get the cell array result.
David
David el 9 de Oct. de 2014
That works for the simple example. My actuall cell contains character arrays too though. Is there a more universal way that can handle char and numerical data types?

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Andrew Reibold
Andrew Reibold el 9 de Oct. de 2014
Editada: Andrew Reibold el 9 de Oct. de 2014
Is this what you are looking for?
a = {0 0 0 0};
b = {1 1 1 1};
c = {'1' '2' '3' '4'};
d = {'look,';'this';'has';'characters!'};
MyBigCell = {a{:}; b{:}; c{:}; d{:}} % <-- Try this with your cells
Output:
MyBigCell =
[ 0] [ 0] [ 0] [ 0]
[ 1] [ 1] [ 1] [ 1]
'1' '2' '3' '4'
'look,' 'this' 'has' 'characters!'
  10 comentarios
David
David el 9 de Oct. de 2014
...perhaps I should have said process tons of data efficiently.
José-Luis
José-Luis el 9 de Oct. de 2014
Editada: José-Luis el 9 de Oct. de 2014
Well, then you could start by not using textscan() but the faster sscanf().
Even faster would be to use a binary format to store your data instead of text. Of course, IO becomes more complicated then.
And if I'm going to be nitpicking, as much as I love Matlab, it is not the best tool to run things fast, but it's one of the better ones to write code fast.
JIT and whatnot, an overhead is an overhead.

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