how to space overlapping labels in plot
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Dear all,
I´m analyzing MRI data and need to plot the intensity values and behavioural scores of a single voxel from a sample of patients. To label the data points, I used the identifier for each patient.
However, even if I decrease the font size for the labels, they overlap for those data points in close spatial proximity. I have tried to get around this by modifying the plot box and data aspect ratio but haven´t solved the problem yet.
I´d really appreciate if someone in the forum could help me with this since I´m sure it will be a recurrent issue in the future.
Here´s the main code I used for the plot. You can find the plot attached.
x=Syl_FJ12_PERC_MODEL_TP1.beh_cov;
y=cell2mat(pa_int_fixed(:,2));
label=pa_int_fixed(:,1);
figure
plot(x,y, '.r','MarkerSize', 15)
text(x, y, label,'fontSize',8);
title ('VBM Sanity check'), ylabel('GM Intensity Peak Voxel (-36 15 -33) Temp_Pole_Mid_L'), xlabel ('Syl JK12 Perc Model')
Thanks in advance for your time,
Noelia

5 Commenti
dpb
il 6 Dic 2019
Use the picture icon to attach the .jpg, not paperclip so can see it...
Noelia Martínez
il 6 Dic 2019
dpb
il 6 Dic 2019
I don't know how you would expect to not have such occur when data points are so close.
It would take quite a lot of logic to automagically find points within the distance and rearrange their position/orientation parameters to not occlude their neighbors.
What you might consider would be to find those that are close to each other and then somewhere that there's a lot of blank space (seems to be a lot of that available if example is representative) in the general neighborhood use an annotation box to list the points and associate them with just a number index.
Or, alternatively, you could try to use the annotation arrow and randomize or aribtrarily adjust the location relative to the point and label it for those...
Dont believe this is an easy one to solve programmatically...
dpb
il 6 Dic 2019
If you want somebody to perhaps take a shot at it, attach a dataset that reproduces the problem.
Noelia Martínez
il 9 Dic 2019
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