Changing the colour of data points on a graph that satisfy a certain criteria

2 visualizaciones (últimos 30 días)
So i basically calculate a probability and for data points that have a probability of say 0.8 i want to change the colour on the graph, what function do i use to do this? i have tried using the set function but dont seem to be able to get it to work

Respuestas (1)

bym
bym el 3 de Nov. de 2012
There are many ways of doing this. Here is one
clear;clc
x = rand(2000,1);
y = rand(2000,1);
c = hypot(x -.5,sqrt(y)-1.25*y) > .2;
plot(x(c),y(c),'b.',x(~c),y(~c),'r*')
axis square
  1 comentario
Matt
Matt el 4 de Nov. de 2012
%=========================================================================% % Searching for Clusters % %=========================================================================% % % % Import Data manually % By Matthew Crouch 26.09.2012 % Import Data Manually
%% Determination of Data
n =300 ; %Number of Stars in the Cluster Field m = 2905; %Number of Stars in the Control Field
D = data; %Reads 2MASS data jmag = D(:,1); %(:,n) reads the nth colomn hmag = D(:,2); k1mag = D(:,3); diffmag = (jmag-k1mag); diffmag2= (jmag-hmag); diffmag3= (hmag-k1mag);
kmag = find(k1mag < 10); % Eliminates any stars with mag greater than 10 mag
Ra5= Arc5(:,9); Dec5=Arc5(:,10); Ra9=Arc9(:,9); Dec9=Arc9(:,10);
Cfjmag = CF(:,1); %2MASS control Field Cfhmag = CF(:,2); Cfkmag = CF(:,3); Cfdiffmag = (Cfjmag - Cfkmag); Cfdiffmag2 = (Cfjmag - Cfhmag); Cfdiffmag3 = (Cfhmag - Cfkmag);
%% Calculating Cluster Probability %%3D Elipsoid
rccm = zeros(n,n); Crccm = zeros(n,m); CNccm = zeros(n,m); Nccm = zeros(m,1); Prob = zeros(n,1);
for i=1:1:n for j=1:1:n; rccm(i,j) = sqrt((0.5*(jmag(i,1)-jmag(j,1)).^2)+((diffmag(i,1)-diffmag(j,1)).^2)+((diffmag2(i,1)-diffmag2(j,1)).^2)); hold on end end
srt = sort(rccm); %Put in value of the 15th star r = transpose(srt(11,1:n)); %Radius of the 11 star
for i=1:1:n; for k=1:1:m; Crccm(i,k) = sqrt((0.5*(jmag(i,1)-Cfjmag(k,1)).^2)+((diffmag(i,1)-Cfdiffmag(k,1)).^2)+((diffmag2(i,1)-Cfdiffmag2(k,1)).^2)); end rcontr = transpose(Crccm); CNccm = (rcontr(:,i)) <= r(i,1); Nccm(i) = sum(CNccm); Prob(i)= 1-((Nccm(i)/10)*(9/81));
hold on
end
%% Plotting Of Graphs
figure(1) scatter(diffmag,k1mag, 'xk'); set(gca,'YDir','Reverse'); xlabel '(J-K) Magnitude', ylabel 'K Magnitude', title ' Colour Magnitude Diagram around .....'; %Change Cluster Name Where appropriate
figure(2) scatter(diffmag3,diffmag2,'xr');
xlabel '(H-K) Magnitude', ylabel '(J-H) Magnitude', title 'Colour Colour Diagram around .....'
figure(3) scatter(Cfdiffmag,Cfkmag, 'xb'); set(gca,'YDir','Reverse'); xlabel '(J-K) Magnitude', ylabel 'K Magnitude', title ' Colour Magnitude Diagram around .....(Control Field)';
figure(4) scatter(Cfdiffmag3,Cfdiffmag2,'xm');
xlabel '(H-K) Magnitude', ylabel '(J-H) Magnitude', title 'Colour Colour Diagram around ..... (Control Field)'
figure(5) scatter(Ra5,Dec5,'xk'); hold on xlabel 'RAJ200', ylabel 'DECJ2000',
figure(6) scatter(Ra9,Dec9,'xb'); hold on xlabel 'RAJ200', ylabel 'DECJ2000',
Above is a copy of my code. I am trying to identify members that have a probability over 0.8 then colour them red, then values with a prob between 0.6-0.8 another colour etc etc...how do i do this?

Iniciar sesión para comentar.

Categorías

Más información sobre Signal Generation and Preprocessing en Help Center y File Exchange.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by