find first time 0 again after higher 0
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Hi,
probably a simple question, but How can I find the Value (index) in each row of a matrix, which is after some values higher than 0 is 0 again?
for example this row in a matrix:
0 0 0 0.0619999999999550 0.108000000000004 0.129999999999995 0.156999999999982 0.176999999999964 0.185000000000002 0.189999999999998 0.187999999999988 0.187999999999988 0.185999999999979 0.182999999999993 0.180999999999983 0.176999999999964 0.170999999999992 0.164999999999964 0 0
I want to know the index of this row at the big black 0.
Thanks
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Star Strider
2022-6-17
One approach —
M = [0 0 0 0.0619999999999550 0.108000000000004 0.129999999999995 0.156999999999982 0.176999999999964 0.185000000000002 0.189999999999998 0.187999999999988 0.187999999999988 0.185999999999979 0.182999999999993 0.180999999999983 0.176999999999964 0.170999999999992 0.164999999999964 0 0 ]
idx = M~=0; % Logical Index
Out = strfind(idx, [1 0])+1 % Desired Index
Check = M((-1:1)+Out) % Check Result
Thius should be reasonably robust to similar problems.
.
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Star Strider
2022-6-19
As always, my pleasure!
D_HQ5000_WH = [randi([0 1], 1, 10); zeros(1,10); randi([0 1], 1, 10); ones(1,10)]
for i = 1:size(D_HQ5000_WH,1)
idx = D_HQ5000_WH(i,:)~=0; % Logical Index
Out = NaN;
if any(idx) & ~all(idx)
Out = strfind(idx, [1 0])+1; % Desired Index
end
Check = Out % Delete Later
end
I assigned ‘Out’ to NaN if either ‘idx’ has all the elements true or all the elements false. This traps conditions where all the elements are zero or none are zero, and sets those results to NaN. (It does not trap situations where there is more than one transition, so I assume that never occurs in practise.)
.
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