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Change yticks using a stacked plot

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I am using the stackedplot function to display multiple series of data that share the same x axis. I would like to change the y ticks, but I can't figure out how to do it. In this case, I would like to make the y tick marks go by 4,000. So basically the y axis should have the following tick marks: 0, 4000, 8000, 12000. Attached is the figure. I can't seem to find a tick mark property in this graph and using
returns the following error:example stacked plot.png
Using xticks with stackedplot is not supported.


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Accepted Answer

Artemio Soto Breceda
Artemio Soto Breceda on 23 Oct 2019
You should use the stackedplot with an output argument:
handle = stackedplot(rand(5)); % Plot 5 random vectors with 5 elements each
Then you can use the handle to change the properties of your figure:
handle.AxesProperties(1).YLimits = [0 12000]; % Changes the limits of the first plot
or in a for loop to change them all:
for i = 1:numel(handle.AxesProperties)
handle.AxesProperties(i).YLimits = [0 12000];
This does not quite control the ticks, instead it changes the limits of the axis, such as ylim([a b]) would do.
I do not think there is any property for stackedplot to do what you want, but this approach may suffice. Otherwise, I recommend you to use subplot and simply remove the xaxis of each subplot except for the last one.
for i = 1:5
h = subplot(5,1,i);
plot(rand(1,5)); % Plotting random numbers, here you put your data
if i < 5, h.XTick = [];end
box off
Then you can do what you want:
h.YTick = [0:4000:12000];
I think using subplot is a much better practice, because it gives you much more freedom.


Clay Swackhamer
Clay Swackhamer on 23 Oct 2019
Hi Artemio,
Thanks. I can create a handle for the stackedplot and change the limits. However I can't seem to adjust the tick marks (for instance make the y axis increment by 4000 instead of by 5000). I will try to use tiledplot or subplot. If nobody else weighs in I will accept your answer.
Joe Vinciguerra
Joe Vinciguerra on 23 Oct 2019
Stackedplot is comparatively new, and lacks a lot of the fine-tune-ability available in other plot types. But I would expect to see this and similar shortcomings addressed in future releases.

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