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Merge same field of 36 structures

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nlm
nlm am 7 Mär. 2019
Kommentiert: per isakson am 7 Mär. 2019
I want to merge same field (e.g., long which is a matrix) from 36 structures of lenghth (266) which has 20 fields for each structure For example, I have structures S1, S2, S3, S4, S4 ... S36 etc of length varying between 266 to 306 with same field names lat, long, date, temp, air etc which are matrices of variable length varying from [1500 to 15000 by 7]. I want to merge S1 to S36 of field "long" and "date", i.e., S = [S1.long, S2.long, ...].The error I receive for the below code is, "Reference to non-existent field 'long'.
numfiles = length(filenames);
results = cell(numfiles, 1);
U1 =[];
for K = 1 : numfiles
thisfile = filenames{K};
datastruct = load(thisfile);
xyz = datastruct.long; %extract particular variable
processed_xyz = vertcat(U1,xyz); %call appropriate function to handle the data
results{K} = processed_xyz;
end
This is suggested by a matlab user, however when I implement it it does not recognize the long field in the datastruct structure.
  4 Kommentare
per isakson
per isakson am 7 Mär. 2019
Did you try
xyz = datastruct.S1.long;
Did you inspect datastruct in the Variable Editor?
nlm
nlm am 7 Mär. 2019
Bearbeitet: Walter Roberson am 7 Mär. 2019
This works,
xyz = datastruct.S1.long;
However, I want to run it in loop for 36 STRUCTURES.

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Antworten (1)

per isakson
per isakson am 7 Mär. 2019
Bearbeitet: per isakson am 7 Mär. 2019
Try this
%%
numfiles = length(filenames);
results = cell(numfiles, 1);
for K = 1 : numfiles
datastruct = load( filenames{K} );
U1 = zero( 0, 7 );
for jj = 1 : 36
U1 = vertcat( U1, datastruct.(sprintf('S%d',jj)).long ); %#ok<AGROW>
end
results{K} = U1;
end
  7 Kommentare
per isakson
per isakson am 7 Mär. 2019
Bearbeitet: per isakson am 7 Mär. 2019
I now assume that
whos( '-file', filenames{2} )
will output S2, et cetera
"This is the full message" IMO: it's much easier to debug functions than scripts.
I assume that the error was caused by jj being empty
>> jj = [];
>> sprintf('S%d',jj)
ans =
'S'
per isakson
per isakson am 7 Mär. 2019
Maybe, this works
function results = ccsm( filenames )
%%
numfiles = length(filenames);
results = cell(numfiles, 1);
for K = 1 : numfiles
datastruct = load( filenames{K} );
U1 = zero( 0, 7 );
for jj = 1 : length( datastruct.(sprintf('S%d',K) ) )
U1 = vertcat( U1, datastruct.(sprintf('S%d',K))(jj).long ); %#ok<AGROW>
end
results{K} = U1;
end
end

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