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for loop value array must be a row vector(?)

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Hi all,
The next-to-simplest matlab code is approximately:
idxs = [1,2,3];
for k = idxs
k
end
k = 1
k = 2
k = 3
But if the idxs array is a column vector, the results are rather different:
idxs = [1;2;3];
for k = idxs
k
end
k = 3×1
1 2 3
That is, you get one value of k equal to the whole column vector. I did not know that. I've been using Matlab for almost 30 years. How did I miss that?
  2 Commenti
Stephen23
Stephen23 il 17 Mag 2023
Modificato: Stephen23 il 17 Mag 2023
This is an ancient MATLAB feature that no one uses, no one likes, and only causes bugs:
I for one would love to be able to write:
for k = find(..)
without the ugly rigmarole and obfuscation that is currently required.
No doubt some at TMW worry about "breaking existing code", but that argument does not hold much water:
  • no one uses this syntax
  • it causes far more bugs than it being used as intended,
  • TMW have broken other fairly fundamental syntaxes (e.g. input/output argument order of some basic functions, changed default first/last value returned, changes to scoping rules, etc. etc.) without causing the end of the world.
Just like IF accepting non-scalar values, this is something that should have been retired a long time ago.
Walter Roberson
Walter Roberson il 17 Mag 2023
I have occasionally taken advantage of this aspect of for. Not very much at all.

Accedi per commentare.

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Cris LaPierre
Cris LaPierre il 17 Mag 2023
Spostato: Matt J il 18 Mag 2023
I didn't realize that either. It does appear to be documented.
  • valArray — Create a column vector, index, from subsequent columns of array valArray on each iteration. For example, on the first iteration, index = valArray(:,1). The loop executes a maximum of n times, where n is the number of columns of valArray, given by numel(valArray(1,:)). The input valArray can be of any MATLAB® data type, including a character vector, cell array, or struct.
So it is the number of columns that determines how many times your loop runs, and index is all values in the nth column.

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