P.s : I need the extracted data in the form of a table , the way it was earlier with the same rows and selected columns.
Extracting data from a table(.mat file)
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I have a .mat file which consist of a table( size- 19x3659). I need to extract data from it in the following pattern. Column 1-3 (Then after a gap of 128) Column 129-131 column 385-387....and so on. All the rows are to be considered.
I have no clue about this. New to MATLAB. Any help would be appreciated.
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Azzi Abdelmalek
2012-7-16
% let us take the random matrix a, 19x3659
a=rand(19,3659);
[n,m]=size(a);b=1:m;
ind=find(and(mod(b,128)<4,mod(b,128)>0))
%check your indices 1-3 129-131 on ind, the extracted matrix result is:
result=a(:,ind)
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Khan Engr
2020-7-15
Hi Azzi Abdelmalek and Abhivyakti, I read this solution, I think my problem is similar, could you please help in my question posted today that you can read on the link
Thanks
Walter Roberson
2020-7-15
data = cat(1, image_patches,labels);
That code is overwriting all of data each iteration.
It looks to me as if data will not be a vector, but I do not seem to be able to locate any hellopatches() function so I cannot tell what shape it will be. As you are not doing imresize() I also cannot be sure that all of the images are the same size, so I cannot be sure that data will be the same size for each iteration. Under the circumstances you should be considering saving into a cell array.
Note: please do not post the same query multiple times. I found at least 3 copies of your query :(
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Image Analyst
2012-7-16
编辑:Image Analyst
2012-7-16
Something like this (untested):
% Load mat file.
s = load(fullMatFileName);
% Extract the table. Hopefully it's a numerical array called theTable.
theTable = s.theTable;
% Get columns to extract out
[rows columns] = size(theTable);
columnsToExtract = [];
for c = 1 : 128 : (columns-3)
% Add these 3 columns.
columnsToExtract = [columnsToExtract , c, c+1, c+2];
end
% Create the new table.
newTable = theTable(:, columnsToExtract);
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Albert Yam
2012-7-16
original = magic(10);
In the form of, selected = original(rows,columns);
selected = original([1:2 5 8:9] , [3 5:7])
Which is rows 1-2,5,8-9 and columns 3,5-7 play around with it. Good luck.
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