Find a vector of string in a Cell array
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Hi all
Assume I have a cell array which is like a matrix like this Dataset=
{'DICL','Coating','Yes';
'DICL','Coating','No';
'DICL','Coating','Yes';
'DICL','Coating','NO'}
Now I want to find the index of a row of this array which is for example
uniquevalue={'DICL','Coating','NO'}
uniquevalue is another cell array which is like a 1*n array
When I wanted to convert the Dataset to Matrix with cell2mat,following error happened:
Error using cat: Dimensions of matrices being concatenated are not consistent.
Actually I wanted to convert these to cell arrays to the matrix and then use following statement
ind=strfind((NewstringsDataSet),(UniqueValuesSet(j,:)));
or
temp=find(strcmp(NewstringsDataSet,UniqueValuesSet(j,:)));
Are there any function in Matlab to find the index of a row of cell array
Best Regards Mojgan
1 个评论
Jan
2013-4-29
Please post a complete copy of the error message and at least the line, which causes the error. Otherwise we cannot suggest an improvement for the relevant part of the code, but have to invent the algorithm from scratch. This decreases the chance, that our suggestion match your needs.
采纳的回答
Andrei Bobrov
2013-4-29
编辑:Andrei Bobrov
2013-4-29
[~,i1] = ismember(Dataset,uniquevalue);
index = find(all(diff(i1,1,2)==1,2));
other variant:
Dataset = {
'DICL' 'Coating' 'Yes'
'DICL' 'Coating' 'No'
'DICL' 'Coating' 'YES'
'DICL' 'Coating' 'NO'};
uniquevalue = {'DICL' 'Coating' 'YES'
'DICL' 'Coating' 'NO'};
[~,~,c] = unique([Dataset;uniquevalue]);
s = size(Dataset);
M = reshape(c,[],s(2));
[ii,index] = ismember(M(1:s(1),:),M(s(1)+1:end,:),'rows');
out = [find(ii),index(ii)]
更多回答(1 个)
Jan
2013-4-29
Data = {'DICL','Coating','Yes'; ...
'DICL','Coating','No'; ...
'DICL','Coating','Yes'; ...
'DICL','Coating','NO'};
Search = {'DICL','Coating','NO'};
index = strcmp(Data(:, 1), Search(:, 1)) & ...
strcmp(Data(:, 2), Search(:, 2)) & ...
strcmp(Data(:, 3), Search(:, 3));
Or perhaps you want find(index).
2 个评论
Jan
2013-5-2
编辑:Jan
2013-5-2
If you need the index instead of the logical index, you can append this line:
index = find(index)
Then, I think, my solution is much more direct. ismember and unique both performs an expensive sorting, but for large inout (perhaps 100'000 rows) this supports a much faster binary search of matching strings.
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