Alternative to scatter3 plot

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John Deer 2022-8-19

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1782105-alternative-to-scatter3-plot

回答： Gautam 2024-9-30，4:36

i often need to display X,Y,Z Data which are colored.

So far, i use

figure;

scatter3 (X,Y,Z, DotSize ,Z) ;

which delivers the desired result and is a single line of code (easy to remeber and usable on many different computers without implementing own stuff every time)

But the resulting graphs are very (and sometimes extremely) slow in reaction.

Even closing the graph is very slow.

A more potent graphic card does not have the slightest effect on that.

Is there another way to display X,Y,Z data colored and more efficient ?

Of course, i can use plot3, but then the data are not colored.

thx

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Mike Croucher 2022-8-19

Which version of MATLAB are you using? How big is the data?

John Deer 2022-8-22

编辑：John Deer 2022-8-22

This behaviour ocurrs in all Versions that i've used so far, as they where Version 2017 to 2021.

The data have differenz size. The maximum possible size is 2048x2048, but usually the data is much less in size.

Below, there is an example.

The Data consists of several patches, and they are combined in a loop like

figure;

hold on;

for i = 1:maxSize

scatter3(X{i},Y{i},Z{i}, dotSize, Z{i})

text(...)

end

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Answer 1

Gautam 2024-9-30，4:36

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1782105-alternative-to-scatter3-plot#answer_1524400

在 MATLAB Online 中打开

I am assuming the data you have, i.e. X, Y and Z are vectors. In this case, you can use the “scatter3” function without the loop. This will highly increase your performance.

scatter3(x(:),y(:),z(:),[],z(:),"filled");
set(gca,"View",[0 90])

This gives the output

Also, if you want a flat plot as you have mentioned in the comments, you can use the “scatter” function instead of “scatter3” and pass in the “Z” values for color or consider using the “imagesc” function.

These would give you the same output as in the above image

You refer to the following MathWorks documentation for more information:

scatter: https://www.mathworks.com/help/matlab/ref/scatter.html

imagesc: https://www.mathworks.com/help/matlab/ref/imagesc.html