Can i get 12 different colors for 12 different variables in matlab? So far I could only get 6 colors because i don't know the values for the other colors:

I'm not really sure what you're asking for or why. The thing you have is a set of repeated pairs. The thing you're asking for [1.5 0 1.2] isn't a valid unit-scale color tuple. Is val always zero? If not, will it also exceed [0 1]? Is there some particular meaning to the sequence and scale of the colors? If so, we'd obviously need to know.

If you just need 12 unique colors, you can use one of the colormap generator functions like jet(), parula(), etc to generate a map of a specified length. If you want to group them in pairs, you can use something like the attached function.

The rest of this can be cleaned up to eliminate the repeated code. Normally, you can use a switch-case structure instead of repeated if-else tests to do this, but in this case, the conditionally-executed code is identical except for one parameter.

% some placeholder inputs

fs = 10;

score = repmat(linspace(1,6,12).',[1 3]);

matrix = ["" "C1"; "" "C2"; "" "C3"; "" "C4"; "" "C5"; "" "C6"; ...

"" "C7"; "" "C8"; "" "C9"; "" "C10"; "" "C11"; "" "C12"];

lb = strcat(repmat("Test string ",[12 1]),matrix(:,2));

% generate a color table of appropriate length

colortable = tab20(12);

% demonstrate

xlim([0 10])

ylim([0 7])

hold on

for i = 1:12

% just get the trailing numeric part

thisclass = str2double(strrep(matrix(i,2),'C',''));

% print the text

text(score(i,1),score(i,2),score(i,3),lb(i), ...

'Color',colortable(thisclass,:),'fontsize',fs,'FontWeight','bold');

end

The attached function is from here. There are many other similar tools on the File Exchange.

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The example I gave generates 12 colors (the color table), and the demo code inside the loop replaces the entire if-else structure you were using.

If you want the 12 colors to be different than the ones I picked, that's fine. You could use any other colormap tool, like jet(12) or something.

If you want them to be based on the colors you had selected, the question is how. Consider the possible interpretations:

I could do simple linear interpolation between the colors

% linear interpolation in sRGB
colortable = [0 0 1;
            0 0 0.545;
            0 0 0.0909;
            0.364 0 0;
            0.818 0 0;
            0.727 0.273 0;
            0.273 0.727 0;
            0 1 0.182;
            0 1 0.636;
            0.0909 0.909 1;
            0.545 0.455 1;
            1 0 1];

Though that gets a bit muddy and ambiguous. You'll probably get better results doing that in linear RGB.

% linear interpolation in linear RGB
colortable = [0 0 1;
            0 0 0.765;
            0 0 0.333;
            0.637 0 0;
            0.915 0 0;
            0.869 0.559 0;
            0.559 0.869 0;
            0 1 0.464;
            0 1 0.819;
            0.333 0.959 1;
            0.765 0.705 1;
            1 0 1];

Notice how this is a bit of a fencepost problem. If we subdivide the intervals between the 6 colors, we end up with 11 colors, not 12. Subdividing the overall span into 12 colors means that only the first and last of the original colors is included exactly in the result. One way around this might be to make the map circular. Note how this map includes all the original six.

% linear interpolation in linear RGB (circular)
colortable = [0 0 1;
            0 0 0.735;
            0 0 0;
            0.735 0 0;
            1 0 0;
            0.735 0.735 0;
            0 1 0;
            0 1 0.735;
            0 1 1;
            0.735 0.735 1;
            1 0 1;
            0.735 0 1];

Alternatively, instead of interpolating, maybe we just want six pairs of colors based on the original six. For sake of uniformity and readability against a white background, I'm going to assert that each pair has approximate luma of [0.4 0.6].

% alternating luma
colortable = [0.354 0.354 0.754;
            0.549 0.549 1;
            0.4 0.4 0.4;
            0.6 0.6 0.6;
            0.68 0.28 0.28;
            1 0.429 0.429;
            0.165 0.565 0.165;
            0.248 0.848 0.248;
            0.12 0.52 0.52;
            0.179 0.779 0.779;
            0.635 0.235 0.635;
            0.952 0.352 0.952];

If one of those color tables suits your needs, you can copy and paste it. If you want to know how I generated those from the given six colors:

% do linear interpolation in sRGB
CT =   [0 0 1;
        0 0 0;
        1 0 0;
        0 1 0;
        0 1 1;
        1 0 1]
newct = interp1(linspace(0,1,6),CT,linspace(0,1,12));
mat2str(newct,3) % dump a pastable copy of the CT
imagesc(ctflop(newct)) % view the new colors
imwrite(imresize(ctflop(newct),[120 120]*2,'nearest'),'ctswatch.png')

% do linear interpolation in linear RGB
CT =   [0 0 1;
        0 0 0;
        1 0 0;
        0 1 0;
        0 1 1;
    1 0 1]
% this is being done in linear RGB
% i'm skipping the rgb2lin() step since it won't matter for these inputs
newct = interp1(linspace(0,1,6),CT,linspace(0,1,12));
newct = lin2rgb(newct);
mat2str(newct,3) % dump a pastable copy of the CT
imagesc(ctflop(newct)) % view the new colors
imwrite(imresize(ctflop(newct),[120 120]*2,'nearest'),'ctswatch.png')

% do linear interpolation in linear RGB (circular
CT =   [0 0 1;
        0 0 0;
        1 0 0;
        0 1 0;
        0 1 1;
        1 0 1]
% make the map circular
newct = interp1(linspace(0,1,7),CT([1:end,1],:),linspace(0,1,13));
newct = lin2rgb(newct);
newct = newct(1:end-1,:);
mat2str(newct,3) % dump a pastable copy of the CT
imagesc(ctflop(newct)) % view the new colors
imwrite(imresize(ctflop(newct),[120 120]*2,'nearest'),'ctswatch.png')	

% make a variant where each color in the original table
% is represented as a pair of colors in the same hue
% but with a predefined luma
Y = [0.4 0.6]; % predefined luma
CT =   [0 0 1;
        0 0 0;
        1 0 0;
        0 1 0;
        0 1 1;
        1 0 1]
CT = kron(CT,[1; 1]);
Y = repmat(Y(:),[6 3]);
newct = imblend(ctflop(CT),ctflop(Y),1,'colorhsvyc');
newct = ctflop(newct);
mat2str(newct,3) % dump a pastable copy of the CT
imagesc(ctflop(newct)) % view the new colors
imwrite(imresize(ctflop(newct),[120 120]*2,'nearest'),'ctswatch.png')