advise on accessing cell array containing structures

11 vues (au cours des 30 derniers jours)
Dave
Dave le 4 Mai 2018
Modifié(e) : Stephen23 le 8 Mai 2018
I have a cell array "wrkspcs" containing names of cell arrays as shown below (some entries omitted for brevity)
wrkspcs =
13×1 cell array
{'ZLH_151210_WrkSpc'}
{'MXG_151210_WrkSpc'}
{'LF_151223_WrkSpc' }
each entry refers to a 6x6 cell array in the workspace. Using eval, I can see the referenced cell array
>> eval(wrkspcs{1})
ZLH_151210_WrkSpc =
6×6 cell array
{1×1 struct} {[1]} {'16557'} {'1210'} {'zlh_1a'} {'ZLH_151210'}
{1×1 struct} {[2]} {'16557'} {'1213'} {'zlh_2a'} {'ZLH_151210'}
{1×1 struct} {[3]} {'16557'} {'1216'} {'zlh_3a'} {'ZLH_151210'}
{1×1 struct} {[1]} {'16676'} {'1210'} {'zlh_1b'} {'ZLH_151210'}
{1×1 struct} {[2]} {'16676'} {'1213'} {'zlh_2b'} {'ZLH_151210'}
{1×1 struct} {[3]} {'16676'} {'1216'} {'zlh_3b'} {'ZLH_151210'}
If I want to get the number of entries in the first workspace "ZLH_151210_WrkSpc", I can do
>> tmp=eval(wrkspcs{1});n = length(tmp(:,1))
n =
6
but if I try to eliminate the creation of the temporary variable "tmp" and access the length directly, I get the following error:
>> n = length(eval(wrkspcs{1})(:,1))
Error: ()-indexing must appear last in an index expression.
However, if I try the following everything is fine.
>> eval(['n = length(',wrkspcs{iloop},'(:,1))'])
n =
6
So, I am trying to understand which syntax rule I am violating in the second case and what is the "proper" way of obtaining the length without either creating the variable "tmp" or including the assignment in the 'eval' statement (which the Matlab documentation states I should try to avoid).
Any comments, insights, or suggested alternatives would be appreciated.
  5 commentaires
Stephen23
Stephen23 le 8 Mai 2018
Modifié(e) : Stephen23 le 8 Mai 2018
"But how can I do the load directly into 'myStruct' struct?"
You can't. Not in the way that you are trying to do it, without a temporary variable. load returns a scalar structure and you will have to allocate that to a temporary variable and then access its fields, as Ameer Hamza already explained. This is quite efficient and does not waste memory, so there is no reason to avoid it.
"...any workaround to avoid going thru loading to a temporary structure..."
as Ameer Hamza wrote, MATLAB does not allow arbitrary indexing/fieldname access to be suffixed onto function calls, so it is quite normal in MATLAB to allocate data to a temporary variable before doing some simple indexing, or accessing fields. This is standard MATLAB practice, wastes no memory whatsoever, and you have not explained why you need to avoid it.
Alternative 1: using a non-scalar structure has advantages also, when you try to process/access the data. You might like to consider doing something like this:
tmp = load([wrkspcs{k},'.mat']);
myStruct(k).data = tmp.(wrkspcs{1});
myStruct(k).name = wrkspcs{k};
The trick is to think of meta-data as data in their own right. Storing data in this way will make your code much simpler, more robust, and more generalized, which means that you can spend more time on actually processing your data rather than worrying about fieldnames and variable names and mat files and ...
Alternative 2: if each .mat file contains exactly one field/variable, then there is no real advantage to using a structure anyway, and you could easily use a cell array for all of your data. If the fields are the same size then it could even be a 3D array and then there would be no nesting of cell arrays:
out = cell(6,6,numel(wrkspcs));
for k = 1:numel(wrkspcs)
tmp = load([wrkspcs{k},'.mat']);
out(:,:,k) = tmp.([wrkspcs{k})
end
Alternative 3: Note that most of the complication here come from bad data design anyway: contrary to what some beginners think, it is much easier to process data when the variable names do not change (yes, even the ones inside .mat files). If each .mat file simply had the exactly same variables, e.g. data and name, then you really could import the files in exactly the way that you requested, without any temporary variable:
for k = numel(wrkspcs{k}):-1:1
S(k) = load([wrkspcs{k},'.mat']);
end
and you would get one non-scalar structure containing all of your data, without any nesting:
S(1).data
S(1).name
or all of the names in a cell array:
{S.name}
etc
Dave
Dave le 8 Mai 2018
thanks for your clear answer. (I reposted this as a new "Ask" since it really is a different question than original post...but you answered it)

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Ameer Hamza
Ameer Hamza le 4 Mai 2018
Unlike C++ or python, in MATLAB you can't directly index the output of a function. You firstly need to store the data in a separate variable and then index the variable that variable to access the required data. So what is happening here:
1) If first case: eval() is a MATLAB function and you are trying to further index its output. Which as already stated is not supported in MATLAB.
2) In the second case: you are effectively running the following command
n = length(ZLH_151210_WrkSpc(:,1))
i.e. indexing into a cell array. This a perfectly supported MATLAB syntax. Even in the first case, the following line will work
n = length(eval([wrkspcs{1}, '(:,1)']))
as you can see that again I am trying to index in the cell array, not the output of a function.
Note: Accessing variables using eval is a very bad idea. It makes your code slow and difficult to debug. For better coding practice, you should look into storing all the variables in a struct and then access the required data using field names.
  2 commentaires
Dave
Dave le 5 Mai 2018
Ameer's answer was to the point and confirmed my testing results.
While I truly appreciate everyone's comments about avoiding "eval" and using structured input from "load" -- sometimes you need to deal with external data files, naming conventions, and existing code base. I need to deal with many data sets collected with a certain organization and file names and write general code that works with, and tracks, an arbitrary number of files and names. I wish I was clever enough to do this without invoking "eval". Even if I was, there is existing code that I must insert my functions and results into without major rewrites...so it is a balance (manage the dangers and inefficiency of "eval" against ease of integration with existing data and code).
Thanks for your comments
Stephen23
Stephen23 le 8 Mai 2018
Modifié(e) : Stephen23 le 8 Mai 2018
"While I truly appreciate everyone's comments about avoiding "eval" and using structured input from "load" -- sometimes you need to deal with external data files, naming conventions, and existing code base."
The names of external files are irrelevant to this issue. The only topic that might be relevant is the "existing code base".
"...so it is a balance (manage the dangers and inefficiency of "eval" against ease of integration with existing data and code)."
You missed one of the other main points about eval: code that has to dynamically access variable names is code that wastes the programmers time: it makes code complex and hard to debug. Your question and the days that you have spent fighting the task of simply importing data is an example of this.
Using lots of different names in the .mat files is really the design decision that has made this so complicated for you: if the .mat files used exactly the same field/variable names (e.g. data and name) then your code would be trivially simple (and yes, you could load them without any intermediate variable):
for k = ...
S(k) = load(...);
end
and that would be all! Better code through better data design: never underestimate the importance of designing your data well!

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