Colour points in 2d or 3d based on value of another vector

I have several parallel vectors of data and I have been plotting them against each other in various ways to determine relationships and develop a model. One thing I would like to do is make a plot with each point coloured based on a further quantity, namely temperature. I have tried experimenting with colormap functions but haven't yet managed to find a satisfactory compact solution.

Something similar to this is what I am going for, it seems much simpler to do with matplotlib.

The temperatures range from roughly 40-100 so 40 should be classed as 'cold' and at the blue end, etc. I am looking for a solution for both 2d and 3d plots as I will be working with both of these.

Answer 1

[Cris LaPierre]

With the scatter function, you can specify the color as a vector of numbers. See this example

x = linspace(0,3*pi,200);
y = cos(x) + rand(1,200);
c = linspace(40,100,length(x));

scatter(x,y,[],c,'filled')
colormap jet
colorbar

You could follow a similar approach using scatter3. The only difference is specifying X,Y and Z. You can find some examples here.

figure
z = cos(x) + rand(1,200);

scatter3(x,y,z,[],c,'filled')
colormap jet
colorbar

[Elliot Ferguson]

Thank you very much!