3D plot of data

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Malthe Gissel
Malthe Gissel 2019년 5월 1일
댓글: Malthe Gissel 2019년 5월 2일
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.

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KSSV
KSSV 2019년 5월 1일
편집: KSSV 2019년 5월 1일
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)
  댓글 수: 5
KSSV
KSSV 2019년 5월 2일
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 2019년 5월 2일
Thank you very much! This is exactly what I was trying to do!

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