3D plot from excel data
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Hello,
I have an excel sheet cointaining x,y,z data in three columns (see attached file).
I would like to plot a 3D graph from this data.
Thanks everyone
采纳的回答
Try this:
T1 = readtable('https://www.mathworks.com/matlabcentral/answers/uploaded_files/593500/prova_stress.xlsx', 'VariableNamingRule','preserve');
Q1 = T1(1:25,:);
VarNames = T1.Properties.VariableNames;
x = T1{:,1};
y = T1{:,2};
z = T1{:,3};
[Ux,iax,ixx] = unique(x);
[Uy,iay,ixy] = unique(y);
N = 25;
xv = linspace(min(x), max(x), N);
yv = linspace(min(y), max(y), N);
[Xm,Ym] = ndgrid(xv, yv);
Zm = griddata(x, y, z, Xm, Ym);
figure
surfc(Xm, Ym, Zm)
grid on
xlabel(VarNames{1})
ylabel(VarNames{2})
zlabel(VarNames{3})
.
6 个评论
Mohammed Saifuddin Ustad
2023-4-21
Hey thanks for this, really helped me out. However i have two questions:
- Any way to present a legend for the colours of the surface plot, for example the darker tones are for the range of shear stress from 0-1.5, Any way to label that?
- secondly, any way to perform this without any interpolation and just purely from the data provided?
Thank you!
Star Strider
2023-4-21
My pleasure.
- See if the colorbar function will do what you want. There are options to customise it. The clim (previously caxis) function is also an option if you need it.
- Not for a surf plot, since it requires that at least the ‘Z’ argument is a matrix. The option for vectors would be limited to a scatter3 plot.
Mohammed Saifuddin Ustad
2023-5-12
Hey thanks for the help so i have another question my data is mentioned below.
However i was wondering whether there is a way to make my plot smoother, i have tried cubic interpolation and it helps a little. Though i am not able to use pchip and i heard that one would be best. Also can i make the little boxes disappear thanks. Help with this please.
Inserting my data, code and a snippet of the plot.
thanks
my data
0,0,0
0,200,0.236
0,400,0.304
0,600,0.351
0,800,0.387
0,1000,0.404
1,0,0.053
1,200,0.275
1,400,0.350
1,600,0.401
1,800,0.444
1,1000,0.478
2,0,0.118
2,200,0.276
2,400,0.346
2,600,0.398
2,800,0.439
2,1000,0.475
3.5,0,0.213
3.5,200,0.299
3.5,400,0.358
3.5,600,0.409
3.5,800,0.436
3.5,1000,0.478
5,0,0.305
5,200,0.337
5,400,0.401
5,600,0.431
5,800,0.476
5,1000,0.494
7.5,0,0.452
7.5,200,0.481
7.5,400,0.510
7.5,600,0.517
7.5,800,0.558
7.5,1000,0.584
my code using cubic
T1 = readtable('solarcol3.csv');
VarNames = T1.Properties.VariableNames;
x = T1{:,1};
y = T1{:,2};
z = T1{:,3};
[Ux,iax,ixx] = unique(x);
[Uy,iay,ixy] = unique(y);
N = 25;
xv = linspace(min(x), max(x), N);
yv = linspace(min(y), max(y), N);
[Xm,Ym] = ndgrid(xv, yv);
Zm = griddata(x, y, z, Xm, Ym, 'cubic'); % specify cubic interpolation
figure
surfc(Xm, Ym, Zm)
colorbar
grid on
xlabel('Wind Velocity (m/s)')
ylabel('Heat Flux (W/m2)')
zlabel('Mass Flow Rate (kg/s)')
Image of plot
Star Strider
2023-5-12
@Mohammed Saifuddin Ustad — Ideally, this should be a new Question, with the ‘solarcol3.csv’ file uploaded.
It might be possible to make it smoother by increasing ‘N’. To eliminate the surface grid lines, use 'EdgeColor','none'.
Mohammed Saifuddin Ustad
2023-5-12
okay that i have tried but do you have any idea with pchip interpolaton or any other interpolation that would make this plot better
and sure i will keep that in mind
Star Strider
2023-5-12
I don’t. I looked at other interpolation functions, and they all have essentially the same options, with interp2 also having 'cubic' and 'makima'.
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