Is there a better way to use cellfun with arguments? and is it better than for-loop?
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Hey,
When I use cellfun, with a function that has arguments, I use repmat function to duplicate my arguments. My question is, if there is a better way to do this.
Here is an example
Lets say that I have a cell array of matricies and I want to get the size of dimention 1 in each
%Create a cell array with random values
randVal = @(x) magic(randi(5,2))
cellArr = arrayfun(randVal, ones(10,1),'uniformOutput',false);
%Get the size of the first dimention of each element in the cell aray
sizes = cellfun(@size,cellArr,repmat({1},size(cellArr,1),1));
This is the part that I am asking about:
repmat({1},size(cellArr,1),1)
Is there a better way to do this?
And in general, is this better that using a for-loop ?
댓글 수: 2
Rik
2021년 9월 9일
How is what you want different from what Steven posted in his answer? It seems to me that is what you need. Using an anonymous function is a better way than replicating data.
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Jan
2021년 9월 8일
편집: Jan
2021년 9월 8일
sizes = cellfun('size', cellArr, 1);
Using the CHAR vector arguments is mentioned in the documentation as "backward compatibility". This calling style is the only one, in which cellfun is faster than a simple loop.
댓글 수: 4
Rik
2021년 9월 8일
It looks like this should be possible, but your example is too contrived for me to see if this is what you mean:
arg2=1;
cellfun(@(arg1)size(arg1,arg2),cellArr);
I suspect this is what you need, but with size as the example it is hard to tell.
Jan
2021년 9월 8일
편집: Jan
2021년 9월 8일
Rik's argument is important: If the cell contains e.g. strings, the 'size' command (as char vector) will fail.
I prefer loops. cellfun, arrayfun, structfun allow very compact code. But usually they are harder to read and to maintain. I like fast code also, but I've seen to many projects failing due to a too complex design which impedes the debugging. Therefore is prefer dull loops. The KISS style...
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