stacked plot with 2 time series of different length and spacing
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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)')
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Star Strider
el 1 de Jul. de 2024
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{:}
[Amin,Amax] = bounds([A11(:); A12(:)])
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.
.
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