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Scatter plot with colorbar showing density of points

31 visualizaciones (últimos 30 días)
omid zandi
omid zandi el 8 de Jun. de 2021
Comentada: SALAH ALRABEEI el 8 de Jun. de 2021
Hi everyone
I want to draw scatter plot along with a colorbar showing where the points are denser. I have attached the desired output cropped images.
Any help would be greatly appreciated.
The code is also (the mat files are also attached) :
% Loading mat files.
load('OrgValues.mat')
load('ATPK_AggregatedValues.mat')
% Visualization
figure;
P1 = plot(OrgValues, ATPK_AggregatedValues, 'o','MarkerFaceColor','b');
xlim([0,max(max(ATPK_AggregatedValues, OrgValues))])
ylim([0,max(max(ATPK_AggregatedValues, OrgValues))])
hold on
P2 = plot([0,max(max(ATPK_AggregatedValues, OrgValues))],[0,max(max(ATPK_AggregatedValues, OrgValues))],'-');
hold off
XlabelText = xlabel('Orginial');
YlabelText = ylabel('Aggregated');
  2 comentarios
KSSV
KSSV el 8 de Jun. de 2021
What data you have?
omid zandi
omid zandi el 8 de Jun. de 2021
I have attached the code and my data as mat files.
thanks in advance

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Respuestas (1)

SALAH ALRABEEI
SALAH ALRABEEI el 8 de Jun. de 2021
You can for example measure the distance between all the coordinates, then take the inverse of minimum distance or average of al the distance between the value x(1),y(1) with all the others.
%
X = rand(1000,2);
D = pdist(X);
D = sort((squareform(D))); %
s = 1./D(2,:); % we take the miminum distance of each element except the the distance between itself at D(1,:);
s2 = 1.mean(D); % another way to use it. Depends on your data.
scatter(X(:,1),X(:,2),[],s)
  2 comentarios
omid zandi
omid zandi el 8 de Jun. de 2021
Thanks, but would it be possible for you to convert your code according to my case as i have attached the code and mat files.
Thanks a lot
SALAH ALRABEEI
SALAH ALRABEEI el 8 de Jun. de 2021
% write this after the load line
X =[OrgValues, ATPK_AggregatedValues];
D = pdist(X);
D = sort((squareform(D))); %
s = 1./D(2,:); % we take the miminum distance of each element except the the distance between itself at D(1,:);
s2 = 1/.mean(D); % another way to use it. Depends on your data.
Then replace
P1 = plot(OrgValues, ATPK_AggregatedValues, 'o','MarkerFaceColor','b');
by this
scatter(OrgValues, ATPK_AggregatedValues,[],s,'filled');
or
scatter(OrgValues, ATPK_AggregatedValues,[],s2,'filled');

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