stacked plot with 2 time series of different length and spacing

I have 2 time series. Both are different lengths (but they overlap for the first 1300s), and are sampled at different rates. Is there a way to plot this information on a stacked plot?

I want to be able to show the periodicity in the flucctuations so dont really want to plot them in subplot form.

files = dir('*.txt');
N = length(files);
A = cell(1,N);
A2 = cell(1,N);
for ii = 1:max(size(files));
    if files(ii).isdir ~=true
        fname = files(ii).name;
        file = fopen(fname);
        A{ii} = cell2mat(textscan(file, '%f %f %f'));
        fclose(file);
    end
    [~,idx] = unique(A{ii}(:,1));
    A2{ii} = A{ii}(idx,:);
end 

plot(A2{1}(:,2),A2{1}(:,3))
hold on
plot(A2{2}(:,2),A2{2}(:,3))
xlabel('Time (s)')

Answer 1

[Star Strider]

There is a way to use stackedplot with them, however it requires that they be interpolated to the same x-axis vector —

files = dir('*.txt');

for k = 1:numel(files)
    A{k} = readmatrix(files(k).name);
    Arows(k) = size(A{k},1); 
    [A11(k),A12(k)] = bounds(A{k}(:,1));
end

A{:}

ans = 544x3

0.2000 2.7120 2.8200 0.3050 8.0307 2.8700 0.4300 13.4546 3.6000 0.5150 17.1429 4.3300 0.5900 20.6028 4.4900 0.7900 31.4507 4.2400 0.8950 37.1459 3.8100 0.9900 42.5087 4.2200 1.0950 49.2020 4.2300 1.1200 51.0098 3.9900

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ans = 238x3

0.2000 4.2758 3.3500 0.3000 12.1207 4.2100 0.3900 18.4630 4.4600 0.5100 26.5427 4.6300 0.6200 33.6109 4.7200 0.7100 39.2466 4.4100 0.7800 43.1440 4.5500 0.8900 49.2685 4.6100 1.0000 55.3930 4.6400 1.1000 60.9607 4.5500

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[Amin,Amax] = bounds([A11(:); A12(:)])

Amin = 0.2000

Amax = 59.5600

figure
tiledlayout(2,1)
for k = 1:numel(A)
    nexttile
    semilogy(A{k}(:,1), A{k}(:,2:end))
    xlim([Amin, Amax])
    grid
end
sgtitle('Using ‘tiledlayout’')

xc = linspace(Amin, Amax, max(Arows));
for k = 1:numel(A)
    [A1u,ix] = unique(A{k}(:,1),'stable');
    Ay{k} = interp1(A{k}(ix,1), A{k}(ix,2:end), xc);
end

figure
stackedplot(xc, cell2mat(Ay))
grid
sgtitle('Using ‘stackedplot’ & Interpolation')

I would prefer tiledlayout for this, however stackedplot is certainly possible.

.