Plot X,Y 2D and Z where Z containing color intensity

I have 3 , 100x1 array

X=100x1 all points on X axis

Y=100x1 all points on Y axis

Z=100x1 ranging from [0 to 1] denoting color intensity

how to pot 2d image X,Y and use Z as colormap for each points?

Answer 1

[Adam Danz]

See scatter(x,y,sz,c) or scatter(x,y,sz,c,'filled')

where c are your z values.

[shubham kumar gupta]

This is the plot from scatter

This is original from COMSOL software

How to get this exact in matlab or more clear?

[shubham kumar gupta]

smoothness or something , I used sz between 1 to 100 to see diff but not huge diff

[Adam Danz]

Now that I've seen the data, it looks like imagesc or histogram2 would be better choices. But those functions require color definitions at each coordinate on the 2D grid.

How are x, y, and z arranged? If they are arranged in an unfolded grid such as the example below, it will be easy to convert those values to the required inputs of imagesc.

x y z
1 1 0
1 2 0 
1 3 0 
2 1 0 
2 2 0
2 3 0 
3 1 0 
3 2 0 
3 3 0

It apears that the x-axis-limits of your data are wider than the x-axis-limits of the image you shared. If the image you shared had tick labels and colorbars, it would be easier to compare the two figures.

[shubham kumar gupta]

This is how data looks like

[shubham kumar gupta]

[shubham kumar gupta]

imagesc(X,Y,Z) is worse than scatter

[Adam Danz]

> imagesc(X,Y,Z) is worse than scatter

If you're using the exact same data as the data used to generate the other image you shared, then imagesc is not worse than scatter, you're just not applying the data correctly.

What are these images you shared above? I have 0 information about them.

[shubham kumar gupta]

yes I guess I'm not using imagesc properly , how to use these 3 rows of data?

X,Y are all points on a plane like (1,2),(1,3)(1,4)(2,1)(2,2)(2,3)(2,4)

and eact with Z shows intensity of color with colormap 'jet' from 1 to 0

[Adam Danz]

Could you attach a mat file with the x y z data?

[shubham kumar gupta]

using scatter sz=1 and 'filled' and

set(gca,'color',[0 0 0.6]) //blue background

turned to be exact same

thank you

[Adam Danz]

My guess is that the imagesc plot is very close and just needs adjustments with axis limts and clim. But I can't be more specific without having the data and being able to reproduce the plot.