I can't manage to stack plot 2 columns with the right graph size

I´m trying to plot 4 graphs in 2 columns stacked vertically.

To do so I am trying the following subplot distribution. However when I do this my x axes (date/time) extends and the data looks very squashed up and I cannot manage to stack them. And ends up like in the image (does not include legend).

Anyone know how to make it look cleaner with the right axis size.

The point is to compare between graphs but the size seems to small.

Any help would be greatly apprecciated

subplot(2,2,1)
subplot(2,2,2)
subplot(2,2,3)
subplot(2,2,4)

Answer 1

[Max Heimann]

You can alter the axis range with 'xlim'

figure('name','examplefigure')
% plot data
subplot(2,2,1)
plot(1:10,rand(1,10))
% set the x range
xlim([1 100])

% plot more data
subplot(2,2,2)
plot(1:10,rand(1,10))

subplot(2,2,3)
plot(1:10,rand(1,10))

subplot(2,2,4)
plot(1:10,rand(1,10))

% change the x range after the plotting.
subplot(2,2,2)
xlim([1 200])

Answer 2

[Peter Perkins]

Inigo, I don't know what you data look like or how you have them stored, but I strongly recommend that you look at using a timetable and stackedplot:

tt = array2timetable(rand(5,6),"VariableNames",["A1" "A2" "A3" "B1" "B2" "B3"],"RowTimes",datetime(2022,3,1:5))
stackedplot(tt,{["A1" "A2" "A3"] ["B1" "B2" "B3"]})

[inigo aguilera]

Thanks very much this was very helpful