How do I find unique points in an array in a certain context?

Hello,
I am trying to find unique points in an array but within a unique context.
Say I have the following arrays consisting of x and y coordinates at spcific time points:
time = [ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19]';
x_coord = [ 1 1 1 rand(1,6) 1 1 1 rand(1,5) 1 1]';
y_coord = [[ 1 1 1 rand(1,6) 1 1 1 rand(1,5) 1 1]';
mat = [x_coord y_coord];
I want to find the unique x,y coordinates so that the first value of the '1's is preserved. Specifically, the unique X/Y point indices would be:
ia = 1, 4, 5, 6, 7, 8, 9,10,13,14,15,16,17,18; (essentially preserves the 1s that occur later on in the matrix)
when using the unique() function, it removes the 1s later on in the matrix.
is there a way to find the unique points but preserve the same points that occur later in time?

1 Commento

Are you sure that you want unique() ? unique() is talking about the global situation -- so for example [x1, y1; x2, y2; x1, y1] the second x1, y1 would be considered duplicate .
It sounds to me as if it is more you are concerned whether you are in a run of duplicate values, which is a different task that can be determined with local information.

Accedi per commentare.

 Risposta accettata

Try this:
time = [ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19]';
x_coord = [ 1 1 1 rand(1,6) 1 1 1 rand(1,5) 1 1]';
y_coord = [ 1 1 1 rand(1,6) 1 1 1 rand(1,5) 1 1]';
mat = [x_coord, y_coord]
mat = 19×2
1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0.2902 0.7648 0.9712 0.7973 0.9503 0.5313 0.5635 0.9937 0.1493 0.0628 0.1966 0.1561 1.0000 1.0000
all1rows = all(mat == 1, 2); % Find out which rows have 1 in every column.
% Throw out row if the prior row is all 1s.
% There is a vectorized way but I think you might find the for loop more intuitive.
rowsToKeep = true(numel(x_coord), 1);
for row = 2 : numel(all1rows)
if (all1rows(row) == 1) && (all1rows(row) == all1rows(row-1))
rowsToKeep(row) = false;
end
end
ia = find(rowsToKeep)'
ia = 1×14
1 4 5 6 7 8 9 10 13 14 15 16 17 18
mat = mat(rowsToKeep, :)
mat = 14×2
1.0000 1.0000 0.2902 0.7648 0.9712 0.7973 0.9503 0.5313 0.5635 0.9937 0.1493 0.0628 0.1966 0.1561 1.0000 1.0000 0.5499 0.2234 0.0796 0.7463

Più risposte (0)

Categorie

Scopri di più su Loops and Conditional Statements in Centro assistenza e File Exchange

Prodotti

Release

R2021b

Richiesto:

FsC
il 28 Apr 2023

Commentato:

FsC
il 1 Mag 2023

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by