define color range in scatter plot
显示 更早的评论
Hi,
I have values ranging from 0 to 3000. Here, only for the values ranging between 2000 to 3000 I have to use the color palette, for rest of the values (i.e. 0 to 1000) the color should be in black..
And I am using scatter plot here.. Is it possible to define above conditions in the scatter plot..
采纳的回答
i do not fully understand, you want to use the pallett for split to 0 to 3000, but at a certain threshold you want to use black instead?
what about values between 1000 and 2000?
x = linspace(0,3*pi,2000);
y = cos(x) + rand(1,2000);
c = linspace(1,10,length(x));
sp=scatter(x,y,[],c);
currMap=colormap();
[~,highestCDataIdx]=max(sp.CData(sp.XData<=3));
highestCDataIdx=ceil(highestCDataIdx*size(currMap,1)/numel(sp.XData)); % scale CData Index by ration of colormap elements to number of XData to map
currMap(1:highestCDataIdx,:)=0;
colormap(currMap)
you can also change values inbetween without changing the pallett
x = linspace(0,3*pi,2000);
y = cos(x) + rand(1,2000);
c = linspace(1,10,length(x));
sp=scatter(x,y,[],c);
currMap=colormap();
[~,highestCDataIdx]=max(sp.CData(sp.XData<=3));
highestCDataIdx=ceil(highestCDataIdx*size(currMap,1)/numel(sp.XData)); % scale CData Index by ration of colormap elements to number of XData to map
currMap(1:highestCDataIdx,:)=0;
colormap(currMap);
delInbetween=sp.XData<5 & sp.XData>4;
sp.XData(delInbetween)=[];
sp.YData(delInbetween)=[];
sp.CData(delInbetween)=[];
12 个评论
Turbulence Analysis
2022-6-29
so the full pallett for the rest or just parts of the palette?
or are you already happy with the given code?
clear
x = linspace(0,3000,20000);
y = 3*sin(2*pi*1/1000*x)+rand(1,20000);
c = linspace(1,10,length(x));
figure;
scatter(x,y,[],c);
figure;
sp=scatter(x,y,[],c);
currMap=colormap();
[~,highestCDataIdx]=max(sp.CData(sp.XData<=2000));
highestCDataIdx=ceil(highestCDataIdx*size(currMap,1)/numel(sp.XData)); % scale CData Index by ration of colormap elements to number of XData to map
currMap(1:highestCDataIdx,:)=0;
colormap(currMap);
figure;
y=y(x>2000);
x=x(x>2000);
c = linspace(1,10,length(x));
scatter(x,y,[],c);
xlim([0 3000])
linkaxes()
Turbulence Analysis
2022-6-29
Turbulence Analysis
2022-6-30
you can give each point its inidividual color, e.g.
clear
x = linspace(0,3,1000);
y = 3*sin(2*pi*1*x)+rand(1,1000);
c=zeros(numel(x),3);
firstColIdx=x<=1;
secColIdx=x<=2 & x>1;
thirdColIdx=x<=3 & x>2;
firstColor=[1 0.5 0];
secondColor=[0.5 0 0.5];
thirdColor=[0 1 0];
c(firstColIdx,:)=repmat(firstColor,[sum(firstColIdx),1]);
c(secColIdx,:)=repmat(secondColor,[sum(secColIdx),1]);
c(thirdColIdx,:)=repmat(thirdColor,[sum(thirdColIdx),1]);
figure;
scatter(x,y,[],c);
Turbulence Analysis
2022-6-30
Jonas
2022-6-30
i got a matrix with 4 columns. how to process this, how can i see what you want?
if you plot the 4 lines only with plot(yourMatrix), then your x is 1:size(yourMatrix,1)
Turbulence Analysis
2022-6-30
Jonas
2022-6-30
and how is the provided matrix connected to your code? i neither have your x, y and c nor does the provided 4 column matrix occur in your code
so you use the colormap colorcube which i do not have and how do you want to see the given plot?
Turbulence Analysis
2022-6-30
so some things to make the points in your cloud better distinctable: you can change the marker and the marker size and the coarseness of you colormap:
load('matlab.mat','x','y')
scatter(x,y,[],linspace(0,1,numel(x)),'.','SizeData',1)
colorbar;
cm=colormap('colorcube');
cm=cm(1:8:end,:);
colormap(cm)
or, if you want to use the supplied c for whatever reason
load('matlab.mat','c');
figure;
scatter(x,y,[],c,'.','SizeData',1)
colorbar;
cm=colormap('colorcube');
cm=cm(1:8:end,:);
colormap(cm)
Turbulence Analysis
2022-7-1
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