3D plot of data

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Malthe Gissel
Malthe Gissel on 1 May 2019
Commented: Malthe Gissel on 2 May 2019
Hello.
I have a data set consisting of stresses accociated with a coordinate point (x,z). The data is attached, note that all the y coordiantes are the same, ie the stresses are on a flat surface consisting of x and z. The data for the stresses are in colum B.
I would like to create a 3D plot or surface of my stresses, but I am unsure how to associate my stresses with a specific point, so that I can plot them. I have tried using meshgrid and surf, but not with any kind of sucess worth attaching.

Accepted Answer

KSSV
KSSV on 1 May 2019
Edited: KSSV on 1 May 2019
Option 1: USe scatter:
[num,txt,raw] = xlsread('Data_3Dplot.xlsx') ;
num = num(9:end,:) ;
nodes = num(:,1) ;
value = num(:,2) ;
x = num(:,3) ;
y = num(:,4) ;
z = num(:,5) ;
scatter3(x,y,z,10,value,'filled')
Option 2: Make unstructured grid
[num,txt,raw] = xlsread('Data_3Dplot.xlsx') ;
num = num(10:end,:) ;
nodes = num(:,1) ;
value = num(:,2) ;
x = num(:,3) ;
y = num(:,4) ;
z = num(:,5) ;
dt = delaunayTriangulation(x,z) ;
t = dt.ConnectivityList ;
p = dt.Points ;
p(:,3) = value ;
trisurf(t,p(:,1),p(:,2),p(:,3));
view(2)
shading interp ; colorbar
Option 3: Make a structured grid
[num,txt,raw] = xlsread('Data_3Dplot.xlsx') ;
num = num(10:end,:) ;
nodes = num(:,1) ;
value = num(:,2) ;
x = num(:,3) ;
y = num(:,4) ;
z = num(:,5) ;
N = 500 ;
xi = linspace(min(x),max(x),N) ;
zi = linspace(min(z),max(z),N) ;
[X,Z] = meshgrid(xi,zi) ;
C = griddata(x,z,value,X,Z) ;
surf(X,Z,C)
shading interp ; colorbar
view(2)
  5 Comments
KSSV
KSSV on 2 May 2019
That would be possible with Option 2...remove the view(2) command in there..try rotating the plot...I hope this is what you are expecting.
Malthe Gissel
Malthe Gissel on 2 May 2019
Thank you very much! This is exactly what I was trying to do!

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