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Haris Hameed on 6 Oct 2020
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Commented: Haris Hameed on 7 Oct 2020
Accepted Answer: Adam Danz
Open in MATLAB Online
i have x and y data of size (100,1), and this data is for a specific number
x = lhsdesign(100,2);
R = 1000:1000:6000;
scatter3(x(:,1),x(:,2),R)
now i want to plot this in 3d scatter. please guide.
it is just like for each R there is an 100 size vector of x and y.
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Haris Hameed on 6 Oct 2020
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i want somthing like this
Adam Danz on 6 Oct 2020
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How should 6 values of R be mapped onto 100 values of x and y?
You probably just need to use repelem or repmat but it's unclear how the R values should be assigned.
Haris Hameed on 6 Oct 2020
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can we somehow plot the x y scatter in layers ??
Adam Danz on 6 Oct 2020
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Sure, but what defines the layers?
I know what x is. I don't know what z should be and I don't know what you want to do with R.
Haris Hameed on 7 Oct 2020
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X and Y are random numbers. These are actually sample points. And R is the value at which these samples calculated. Advancing R we get set of X and Y data points. So R is the layer number where i want to plot X and Y.
Adam Danz on 7 Oct 2020
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"R is the value at which these samples calculated"
That's where my understanding falls off a cliff. How are 100 random numbers calculated from 6 R values?
If you want a 3D plot, each (x,y) value needs a z value and it's unclear what those z values should be. We need 100 of them.
How should the 100 (x,y) values be distributed across 6 layers?
Haris Hameed on 7 Oct 2020
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For example R is the section position on a wing surface (y/b). And at each section we get the values of cp, x, y, temp etc.
Adam Danz on 7 Oct 2020
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How do I know what section x(5,:) comes from, for example? What about x(92,:) - what section/level/R is that from?
Haris Hameed on 7 Oct 2020
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The sample point is stored for each R. X(92,:,5) so this x is for section 5. For each section (layer) we have 100 data points.
Adam Danz on 7 Oct 2020
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ah.... there we go. Check back in a bit.
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Accepted Answer
Adam Danz on 7 Oct 2020
Open in MATLAB Online
I don't know how you're storing the variables but the demo below should get you started.
It loops through values of R and you'll need to add the part that extracts the x and y values; for now it just uses the same (x,y) values.
x = lhsdesign(100,2);
R = 1000:1000:6000;
figure()
axes()
hold on % important
view(3)
grid on
for i = 1:numel(R)
% get x values
% x = ???
% y = ???
scatter3(x(:,1),x(:,2), repelem(R(i),numel(x(:,1)),1));
end
view([45,5]) % so you can see the layers (try view([90,0]) too)
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Haris Hameed on 7 Oct 2020
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Yes exactly, thank you... really appreciate
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