This post was triggered by following discussion on whether cell arrays are "normal arrays" and that vectorizaton does not work for cell arrays.
I wonder why following vectorization syntax is not implemented in MATLAB, what speaks against it:
>> {'hallo','matlab','world'} == 'matlab'
??? Undefined function or method 'eq' for input arguments of type 'cell'.
internally it would be equivalent to
[{'hallo'},{'matlab'},{'world'}] == {'matlab'}
because MATLAB knows when to cast, following works:
[{'hallo','matlab'},'world']
Cell array is an array of pointers. If both left and right side point to equal objects, isequal('hallo','hallo')
returns as expected true, then why MATLAB still does not allow topmost example?
I know I can use strmatch
or cellfun
.
SUMMARY:
==
which is required for vectorization in above example is eq
and not isequal
(other operators are <
which is lt
, etc.)eq
is built-in for numeric types, for all other types (like strings) MATLAB gives as freedom to overload this (and other) operators.myFun( myString )
or myFun( myCellOfStrings )
, is also possible, you have just to implement it internally in myFun
. Functions sin(val)
and sin(array)
work also not by witchcraft but because both cases are implemented internally.To create a cell array of character vectors, use curly braces, {} , just as you would to create any cell array. For example, use a cell array of character vectors to store a list of names. The character vectors in C can have different lengths because a cell array does not require that its contents have the same size.
Vectorization is one of the core concepts of MATLAB. With one command it lets you process all elements of an array, avoiding loops and making your code more readable and efficient. For data stored in numerical arrays, most MATLAB functions are inherently vectorized.
"Vectorization" (simplified) is the process of rewriting a loop so that instead of processing a single element of an array N times, it processes (say) 4 elements of the array simultaneously N/4 times.
There are two ways to refer to the elements of a cell array. Enclose indices in smooth parentheses, () , to refer to sets of cells--for example, to define a subset of the array. Enclose indices in curly braces, {} , to refer to the text, numbers, or other data within individual cells.
Firstly, ==
is not the same as isequal
. The function that gets called when you use ==
is eq
, and the scope of each of those is different.
For e.g., in eq(A,B)
, if B
is a scalar, the function checks each element of A
for equality with B
and returns a logical vector.
eq([2,5,4,2],2)
ans =
1 0 0 1
However, isequal(A,B)
checks if A
is identically equal to B
in all aspects. In other words, MATLAB cannot tell the difference between A
and B
. Doing this for the above example:
isequal([2,5,4,2],2)
ans =
0
I think what you really intended to ask in the question, but didn't, is:
"Why is
==
not defined for cell arrays?"
Well, a simple reason is: Cells were not intended for such use. You can easily see how implementing such a function for cells can quickly get complicated when you start considering individual cases. For example, consider
{2,5,{4,2}}==2
What would you expect the answer to be? A reasonable guess would be
ans = {1,0,0}
which is fair. But let's say, I disagree. Now I'd like the equality operation to walk down nested cells and return
ans = {1,0,{0,1}}
Can you disagree with this interpretation? Perhaps not. It's equally valid, and in some cases that's the behavior you want.
This was just a simple example. Now add to this a mixture of nested cells, different types, etc. within the cell and think about handling each of those corner cases. It quickly becomes a nightmare for the developers to implement such a functionality that can be satisfactorily used by everyone.
So the solution is to overload the function, implementing only the specific functionality that you desire, for use in your application. MATLAB provides a way to do that too, by creating an @cell
directory and defining an eq.m
for use with cells the way you want it. Ramashalanka has demonstrated this in his answer.
There are many things that would seem natural for MATLAB to do that they have chosen not to. Perhaps they don't want to consider many special cases (see below). You can do it yourself by overloading. If you make a directory @cell
and put the following in a new function eq.m
:
function c = eq(a,b)
if iscell(b) && ~iscell(a)
c = eq(b,a);
else
c = cell(size(a));
for n = 1:numel(c)
if iscell(a) && iscell(b)
c{n} = isequal(a{n},b{n});
else
c{n} = isequal(a{n},b);
end
end
end
Then you can do, e.g.:
>> {'hallo','matlab','world'} == 'matlab'
ans = [0] [1] [0]
>> {'hallo','matlab','world'} == {'a','matlab','b'}
ans = [0] [1] [0]
>> {'hallo','matlab','world'} == {'a','dd','matlab'}
ans = [0] [0] [0]
>> { 1, 2, 3 } == 2
ans = [0] [1] [0]
But, even though I considered a couple of cases in my simple function, there are lots of things I didn't consider (checking cells are the same size, checking a multi-element cell against a singleton etc etc).
I used isequal
even though it's called with eq
(i.e. ==) since it handles {'hallo','matlab','world'} == 'matlab'
better, but really I should consider more cases.
(EDIT: I made the function slightly shorter, but less efficient)
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