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I am very grad to find the program of “advanced-matlab-surface-plot-of-nonuniform-data”, but I could not run it
because of no-coincide of matrix dimension.
Would you please inform me of a mistake I coded (copied).
%3D graph for nonuniform_data
mesh(X,Y,Z); % interpolated
axis tight; hold on
I copied the code from you message and it worked perfectly on my side! – sorry!
The code you pasted here worked exactly right for me too. I am not sure what to do for you.
Greg pointed me to this solution he wrote a while back that might be of interest also:
Tech Note 1212 – Using MESHGRID and GRIDDATA to Fit Vector Data and Plot Unevenly Spaced Data http://www.mathworks.com/support/tech-notes/1200/1212.html
This info about making a surface plot was very usefull for me. In stead of the formule that you used to produce some points, I used 4 XYZ-coordinates that result in an surface in 3D. Is there an easy way to calculate the surface area of this created object?
There is no built in function to do this, but knowing the X,Y,Z of each point in the mesh, you should be able to calculate the area of each four point patch. From there, summing should be easy to know the whole area.
I have multiple [x,y,z] matrices of my data with which i want to plot the surface using a 7th order polynomial, how can I do that??
I am not sure that I understand the question. If you have x,y,z triples, you just plot them. Are you trying to fit a polynomial to them? That would imply a two dimensional dataset. Are you trying to fit some kind of a surface to the data?
You might be best off looking here:
It shows how to ask for help at the bottom.
i have a question regarding (x,y,z) set of data points. i have a file with x,y,z coordinates (z is depth) and I would compute the dip at each point in both x and y directions. my data has the following conditions:
1- difference between each pair of points in both x and y directions are constant, in other words, delta_x and delta_y are constant (but delta_x ~= delta_y; is not equal which is not important).
2- my surface points could be removed somewhere meaning that in those points i don’t have data.
3- i would use second order of derivative to compute dip at each point.
4- i would have the same number of dip as number of my points (or data ).
i would appreciate your help.
I think you want gradient:
I have data set which contains x,y and z coordinates of a finite element model. I want to plot mesh for this model. But the function ‘mesh’ in matlab requires the Z as Z(i,j) where i is size of x and j is size of y. I tried to generate Z(i,j) using
When I am plotting the mesh, it shows me that I have duplicate values. My z coordinate data has duplicate z coodrinates like, it has 0 for few and 0.5 for few, like wise.
Can you please suggest me how to plot this data set?
To be clear, please give the sizes of all your variables (ie. How big are x,y,z. How are they related to one another) Is the data regularly spaced in x and y? Is this a sheet? (only one Z value for any given point in X and Y)
The size of my data set is 3080
My Data looks like this,
1 69.5946900000000 204.716400000000 0
2 69.1238900000000 204.159900000000 0
3 75.1291900000000 199.044600000000 0
4 69.2183100000000 199.836300000000 0
5 73.2698700000000 198.974500000000 0
6 69.6076700000000 198.868100000000 0
7 73.7034400000000 198.942700000000 0
8 72.3838800000000 199.717100000000 0
9 71.2137500000000 201.124400000000 0
10 69.2146700000000 199.352700000000 0
172 74.8000000000000 214.500000000000 0.5
173 75.2000000000000 215 0.5
1902 67.5000000000000 197.500000000000 1
1903 67.5000000000000 198 1
1904 74.4000000000000 197.500000000000 1.5
1905 74 197.500000000000 1.5
1906 74 197 1.5
first column is node numbers, second column is x-coord, third column is y-coord and 4th column is z coord. The data is arranged as per the node numbers. There is one more data set which has the mesh relation ship between the nodes and the elements. One element is combination of 8 nodes. it looks like this,
1 1231 1232 1252 1251 1010 1009 1008 1007
2 163 110 1232 1231 1006 1005 1009 1010
3 1230 1231 1251 1250 1004 1010 1007 1003
4 182 163 1231 1230 1002 1006 1010 1004
5 1229 1230 1250 1249 1001 1004 1003 1000
6 183 182 1230 1229 999 1002 1004 1001
7 1228 1229 1249 1248 998 1001 1000 1019
8 184 183 1229 1228 1018 999 1001 998
First column is element number, second to ninths columns are node numbers. First four make one face, last four makes one face.
Let me know if you need for info.
Thanks for helping me out.
I think you will want the face vertice representation of PATCH or maybe the data can be massaged into TRIMESH
Thank You very much, PATCH worked for me! It requires the input as I got here. I am getting kind of greedy here, I have same kind of deformation data also for the nodes. Actually, I have mesh data for two meshes, One is fine mesh and one is coarse mesh. The shape is same for both the meshes, the difference is only the number of elements and nodes. I have Deformation data for x,y, and z coordinates for fine mesh. I have to do interpolation and find the deformation data for coarse mesh. Again the problem in using interp1, interp2 and interp3 is the same. The data I have is not in the same format these functions need. Is there any function like PATCH for initerpolation which I can use?
This will help me alot in dealing with this problem.
I do not understand the question. Please send more details and simple examples via e-mail.
Here is my problem.
x,y are 2 vectors..say of length 400.
z is a 400×400 matrix generated using x and y vectors….i.e. z(i,j) is calculated based on x(i) and y(j).
now when i plot mesh(x,y,z),the wireframe is too dark….how can i increase the spacing between the wires….without decreasing x and y vector sizes.
I have non-uniform scalar data, X, Y, Z, velocity. I would like to use slice or contourslice to look at planes of data, but I can’t figure out how to get the velocity data into the right format to plot. The error says velocity must be a 3D array
0.0 0 0 13.4
0.5 -1 -1 13.6
0.5 -1 0 13.9
0.5 -1 1 13.8
0.5 0 -1 14.1
0.5 0 0 14.2
0.5 0 1 13.7
0.5 1 -1 13.7
0.5 1 0 14.2
0.5 1 1 14.1
1 -4 -6 24.1
1 -4 -4 21.0
1 -4 -2 17.4
1 -4 0 15.7
1 -4 2 15.4
1 -4 4 17.0
1 -4 6 20.4
1 -2 6 16.1
1 -2 4 13.9
1 -2 2 14.0
1 -2 0 14.3
1 -2 -2 14.7
1 -2 -4 16.6
1 -2 -6 21.1
1 0 -6 20.1
1 0 -4 15.5
1 0 -2 14.6
1 0 0 14.5
1 0 2 14.4
1 0 4 13.8
1 0 6 15.1
1 2 6 17.1
1 2 4 14.6
1 2 2 14.2
1 2 0 14.4
1 2 -2 14.6
1 2 -4 17.1
I can use meshgrid to get a grid for X and Y and griddata to interpolate the Z, but what about velocity?
I have values of a function on a irregular X,Y grid and I would interpolate it in order to find isocurves where the function is equals to 0.
I used your code but I had an error which says that sample data points should be collinear. I don’t know how to handle this problem.
Do you have an idea ?
Thanks for helping me out.
Please post simple code for this.
Thanks Doug for your answer.
I spent lot of time to find an other way to do it.
Here is my code :
nx = 5000; % Number of x steps ny = 5000; % Number of y steps n = 100; % Time step x1 = Wzx(:,1); % X-coordinate nodes' y1 = Wzx(:,2); % Y-coordinate nodes' z1 = Wzx(:,n); % Wzx values a t=n*dt % X,Y for regular mesh xlin = linspace(0,8,nx); ylin = linspace(0,3.2,nx); F = TriScatteredInterp(x1,y1,z1); % Interpolant z = zeros(nx,ny); % Matrix declaration % Matrix's filling for i=1:nx-1 for j=1:ny-1 % For each regular coordinate i,j we evaluate Wzx using the % interpolant z(i,j)= F(xlin(i),ylin(j)); end end % Compute the contour matrix for isoline 0 C = contourc(z,[0 0]);
What I’m trying to do is to obtain the coordinates (x,y) of the isoline Wzx(x,y) = 0.
Thus, I interpolate my data on a regular mesh in order to use contourc function which enables me to find 0 isoline.
But my results are not good.
Does my code sound sensible ?
How are your results ‘not good’?
Have you done a surface plot of xlin, ylin, z overlayed over a scatterplot of x1,y1,z1? Do they seem reasonable? Is it the interpolation that is bad?
I am trying to plot/show my data with color. I know the data values (z) at each point (x, y). I was trying to use pcolor or imagesc, etc., i.e., pcolor(x, y, z). But as you know my z is a vector, but not a matrix. Do you know how to generate a figure for my data values? I do not want to use plot3(x,y,z).
Thanks in advance.
Thanks Doug, for your useful explanation.
But i have a problem that basically consists in calculating the volume under the interpolated mesh surface and above the plane xy. How can that be done?
Have you used the quad function.
You can make a lookup function out of the interpolated surface.
I have just posted a problem on mathworks but seems like no one got a real answer for it yet, so I was thinking a Matlab “guru” like you could help me out in a way.
The link to my question is right here;
But I will tell about it shortly:
In my problem, I am using a program which will give me 3D grid of the E-field and a 3D grid of how much W/kg a phantom is influence of.
The two grids are almost the same, but the W/kg grid got one less point in every dimension compare to the E-field.
I need a way to interpolate the two grids so they “overlap” each other, so I can use the information for further calculations.
It is more detailed in my post, but I hope you can help me out since I was thinking about using griddata in 3D.
Looks like you are getting some help on answers today.
Dear sir, I want to plot a 3D graph of my 2D PDE on an irregular domain. I tried griddata but since it uses some kind of interpolation and takes the nearest points too, due to which I don’t get the exactly same domain (boundary). Just like in your video some boundary points are outside and some are inside.
Hi Muhammad, Here is someone with a similar question I think: https://www.mathworks.com/matlabcentral/newsreader/view_thread/60098. You should take a look at the functions delaunay, delaunay3, triplot, trimesh, and trisurf.