converting vector result into matrices for surf command

Hello,in a program there is feald on aplane shown bellow.

the field data was exports and i am trying to recreate this fiels in matlab.

I have a problem where the exported tablable is show in the attached file ,the resulthas a vector as a result.

in surf command i needthe IMAGEEy result be a matrix

its folding every 24 members.

how can i recreate the photo of the progrm thanks?

I tried the photo shown bellow and it gave me gibrish

rows=(with.zmm==48.394400000000000);
data=with(rows,:);
x=data.xmm(1:24);
y=data.ymm;
y2=y(1:24:240);
z=reshape(data.EyImVm,24,[]);
[yy,xx]=meshgrid(x,y2)
surf(xx',yy',z)

Answer 1

[Walter Roberson]

filename = 'https://www.mathworks.com/matlabcentral/answers/uploaded_files/1200898/with.txt';
with = readtable(filename);
with.Properties.VariableNames = {'xmm', 'ymm', 'zmm', 'ExReVm', 'ExImVm', 'EyReVm', 'EyImVm', 'EzReVm', 'EzImVm'};

rows = ismembertol(with.zmm,48.394400000000000);
data = with(rows,:);
x = data.xmm(1:24);
y = data.ymm;
y2 = y(1:24:240);
z = reshape(data.EyImVm,24,[]);
[yy, xx] = meshgrid(x, y2);

surf(xx',yy',z)
xlabel('x'); ylabel('y'); zlabel('EyImVm');

[fima v]

Hello i ineed to plot the Z-X surface data at Y=-11.340800000000000

how can wec cut in this plane?

Thanks.

Answer 2

[Star Strider]

I have no idea what you want to plot.

Use the first two column (that correspond to ‘x’ and ‘y’ respectively), the choose whatever other column you want, and use scatter3 to plot them. m There is no need to reshape them.

T1 = readtable('https://www.mathworks.com/matlabcentral/answers/uploaded_files/1200898/with.txt')

T1 = 10560×9 table
     Var1       Var2       Var3       Var4        Var5       Var6       Var7        Var8         Var9  
    _______    _______    ______    ________    ________    _______    _______    _________    ________

    -48.384    -11.341    10.996     0.90813      1.8604    -37.911    -79.726      -2.0314     -3.5672
    -46.047    -11.341    10.996     0.61978      1.2805    -36.158    -76.018     -0.69598    -0.80282
    -43.709    -11.341    10.996     0.39263     0.83229    -35.522    -74.668      0.27129      1.1548
    -41.372    -11.341    10.996     0.83176      1.7557    -35.755    -75.141      0.99512      2.5929
    -39.034    -11.341    10.996     0.13691     0.29173    -35.001     -73.53       2.5863      5.8309
    -36.697    -11.341    10.996    -0.57036     -1.1999    -35.671    -74.939       1.8947      4.2114
     -34.36    -11.341    10.996    -0.98216     -2.0772    -39.062    -82.094      -1.6248     -3.4085
    -32.022    -11.341    10.996     -1.0985     -2.3401    -45.176    -94.994      -7.9721     -17.029
    -29.685    -11.341    10.996      3.0031      6.3116    -48.701    -102.43      -9.4638     -20.382
    -27.348    -11.341    10.996      2.4817      5.2283    -41.237    -86.694      -3.1886     -7.3027
     -25.01    -11.341    10.996      1.1922      2.5145    -36.242     -76.16       1.4338      2.3349
    -22.673    -11.341    10.996     0.22708      0.4812    -34.936    -73.407       2.2261      3.9499
    -20.335    -11.341    10.996    -0.32721    -0.67962    -34.818     -73.17        1.827      3.1152
    -17.998    -11.341    10.996    -0.41435    -0.88218    -34.896    -73.346       1.5551      2.6268
    -15.661    -11.341    10.996    -0.51603       -1.11    -35.857    -75.404      0.60022     0.71022
    -13.323    -11.341    10.996    -0.41121    -0.89323    -37.957    -79.868    -0.086691    -0.62588

x = T1{:,1};
y = T1{:,2};
z = T1{:,3};
Eyv = T1{:,6};


figure
scatter3(x, y, z, 10, z, 'filled')
grid on
colormap(turbo)
view(30,20)

figure
scatter3(x, y, Eyv, 10, Eyv, 'filled')
grid on
colormap(turbo)
view(30,20)

Experiment to get the desired result.

.

[fima v]

Hello i ineed to plot the Z-X surface data at Y=-11.340800000000000

how can wec cut in this plane?

Thanks.

[Star Strider]

I am having a problem understanding what you want to do.

Using only the first 24 elements of each vector (corresponding to y=-11.3408) I get these results —

T1 = readtable('https://www.mathworks.com/matlabcentral/answers/uploaded_files/1200898/with.txt')

T1 = 10560×9 table
     Var1       Var2       Var3       Var4        Var5       Var6       Var7        Var8         Var9  
    _______    _______    ______    ________    ________    _______    _______    _________    ________

    -48.384    -11.341    10.996     0.90813      1.8604    -37.911    -79.726      -2.0314     -3.5672
    -46.047    -11.341    10.996     0.61978      1.2805    -36.158    -76.018     -0.69598    -0.80282
    -43.709    -11.341    10.996     0.39263     0.83229    -35.522    -74.668      0.27129      1.1548
    -41.372    -11.341    10.996     0.83176      1.7557    -35.755    -75.141      0.99512      2.5929
    -39.034    -11.341    10.996     0.13691     0.29173    -35.001     -73.53       2.5863      5.8309
    -36.697    -11.341    10.996    -0.57036     -1.1999    -35.671    -74.939       1.8947      4.2114
     -34.36    -11.341    10.996    -0.98216     -2.0772    -39.062    -82.094      -1.6248     -3.4085
    -32.022    -11.341    10.996     -1.0985     -2.3401    -45.176    -94.994      -7.9721     -17.029
    -29.685    -11.341    10.996      3.0031      6.3116    -48.701    -102.43      -9.4638     -20.382
    -27.348    -11.341    10.996      2.4817      5.2283    -41.237    -86.694      -3.1886     -7.3027
     -25.01    -11.341    10.996      1.1922      2.5145    -36.242     -76.16       1.4338      2.3349
    -22.673    -11.341    10.996     0.22708      0.4812    -34.936    -73.407       2.2261      3.9499
    -20.335    -11.341    10.996    -0.32721    -0.67962    -34.818     -73.17        1.827      3.1152
    -17.998    -11.341    10.996    -0.41435    -0.88218    -34.896    -73.346       1.5551      2.6268
    -15.661    -11.341    10.996    -0.51603       -1.11    -35.857    -75.404      0.60022     0.71022
    -13.323    -11.341    10.996    -0.41121    -0.89323    -37.957    -79.868    -0.086691    -0.62588

x = T1{:,1};
y = T1{:,2};
z = T1{:,3};
Eyv = T1{:,6};

Uy = unique(y)

Uy = 10×1

-11.3408 -9.0034 -6.6660 -4.3286 -1.9912 0.3462 2.6836 5.0210 7.3584 9.6958

% Uym = buffer(Uy,10)
ixr = 1:24;

figure
scatter3(x(ixr), y(ixr), z(ixr), 15, z(ixr), 'filled')
grid on
colormap(turbo)
view(30,20)

figure
scatter3(x(ixr), y(ixr), Eyv(ixr), 15, Eyv(ixr), 'filled')
grid on
colormap(turbo)
view(30,20)

Creating a plane from it —

yv = linspace(min(y(ixr))-0.01, max(y(ixr))+0.01, 24).';
[X,Y] = ndgrid(x(ixr), yv);
% NaNs = nnz(isfinite(Eyv(ixr)))
Z = griddata(x(ixr), yv, Eyv(ixr), X, Y)

Z = 24×24

-37.9109 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN -36.1583 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN -35.5220 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN -35.7548 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN -35.0008 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN -35.6706 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN -39.0625 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN -45.1763 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN -48.7008 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN -41.2371 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN

figure
surf(X, Y, Z)
grid on

I am not geting any decent results from this.

.

[Walter Roberson]

If you have a 3D cuboid of data (not 2D X and Y and corresponding 2D Z), then you can use slice to visualize along arbitrary planes.

This will not work for the 2D/2D/2D gridded case.

If you had non-gridded vectors of X Y Z where the X Y do not happen to all fall along one plane, then you could potentially griddata() or scatteredInterpolant() to create a 3D volume that you could then slice()

[Star Strider]

@Walter Roberson — I'm having a difficult time understanding what is desired here.

[Walter Roberson]

A line, maybe? Constant z and constant y over a source that is a grid of data would still leave open the possibility of a line graph, EyImVm vs x ?

[Star Strider]

Certainly! Although some sort of scatter plot is at the base of this. The surface — if one exists — evolves from that. I just don’t understand how to get there from the provided data.