Only upper triangle part of plotmatrix function
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Hello, Is it possible to only plot the upper triangle part of the matrix plots when using 'plotmatrix' function? matrixplot generates an m by m subplots, however, the lower scatter subplots (lower triangle plots) are the mirror image of the upper triangle subplots. For large number of data set in the input matrix, the default option including bother upper and lower subplots will be very slow.
Many thanks.
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Ryan
2019년 11월 23일
I had a similar issue of only wanting to plot the bottom half of the matrix. Like you said H H the plotmatrix function outputs objects so I just used the function like normal and then deleted the handles. For me it was the visual presentation of the chart, but I don't think this will solve the problem of slowness due to the large amount of data (unless you are zomming/panning around looking at the data once its in the plot).
Lets take a 4x4 plot matrix. The excel plot below is how gplotmatrix assigned the axes handles. The axes handles start at 2 and go right to left. I wanted to delete the ones in yellow because they present the same data as the lower half just with flipped axes.
So I needed to collect each handle I didn't want and then deleted them.
h = figure(123);
% gplotmatrix(...) % this is obviously uncommented, I just don't know what your inputs are
M = length(gplotNAMES); % M length of matrix
ii=1; indexEND=0; % initial counters
while (M-ii-1) >= 0
indexSTART = indexEND + ii; % start index for each row
indexEND = indexSTART + (M-ii-1); % end index for each row
index2delete{ii} = indexSTART:indexEND; % collect the indices for each row (ii)
ii=ii+1;
end
% convert cell to a vector, you just need all the indices. Not necessarily by row
indDELETE = cell2mat(index2delete)+1; % add 1 because the axes objects start at 2
delete(h.Children(indDELETE)) % delete all handles in indDELETE
I hope this helps! I know your submission is ~2 years old, but I figured it would be nice to see an answer at some point!
-Ryan
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KSSV
2017년 7월 27일
doc triu and tril, it gives upper and lower triangular part of a matrix respectively.
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