Just follow the example in the link, with some changes: x = [x values of your locations] y = [y values of your locations] z = [all heat readings for all x,y for a single timestamp] F = TriScatteredInterp (x,y,z); and plot as in the example. The problem is the power is only interpolated using data from a single range bin, and nothing above or below. The interpolation points are specified by xi, yi, zi . I have 3 variables xd,yd,zd of size 151:3 and I want to interpolate the values of z of size 31:25 for the given input values of x and y size 31:25. In theory couldn't this be used in conjunction with an adaptive quadrature algorithm like quad/dblquad to find the area under the curve/surface?The use of (x,y) in the anonymous function is unfortunate as it makes the intent of the code less clear, with which your code is not quite consistent, I believe. If you have scattered data, use TriScatteredInterp. . qhull is a third-party library; if I recall correctly it is from a UK university. Gridded data consists of values or measurements at regularly spaced points that form a grid. Gnu Octave, Get every nth row of a matrix/vector: Now, remove rows from the original matrix which will give you a list of the rows not extracted. The surface always goes through the data points. % Make some fake vector data. 04, but both scatteredInterpolant and TriScatteredInterp return values of -85. I have three vectors: x,y (point coordinates) and v (fluid values). X . The constraints will be lost if the TriScatteredInterp is saved and loaded. Y)); axis([xmin, xmax, ymin, ymax]);If your nans on the edges of the grid this might be because of a "simple" reason: the griddata (and the triscatteredinterp-functions (TriScatteredinterp, scatteredinterp, etc)) typically returns interpolated values inside the convex hull of the points you have data at - outside of that region (area in 2-D, volume in 3-D) it would be an. Learn more about unexpected interpolation scatteredinterpolant triscatteredinterp bug? MATLABERROR: Input data must be specified in. X is a matrix of size mpts-by-ndim, where mpts is the number of points and ndim is the dimension of the space where the points reside (ndim is 2 or 3). interp3 problem. This example shows how to interpolate three 1-D data sets in a single pass using griddedInterpolant. The column vector V defines the values at X, where the length of V. . It has a hidden property which is a TriScatteredInterp object -- which only stores the points and does not store any decomposed information. 3 次元データから内挿により曲面を推定し、新しい X,Y グリッドデータに対応する値を求めることで、元のデータ点を通る面データを作成することができます。. Theme. If y is a matrix or an N-dimensional array, the interpolation is performed on each column of y . × License. Use them to calculate z. I want to interpolate these points but they are not evenly distributed so I could not use interp1. Conversations. The region of influence is called a Voronoi region and the collection of all the Voronoi regions. I now want to interpolate between them in order to define an entire wing in terms of x,y,z coordinates. First, create a grid of x- and y- values that are equally spaced. Just replace mesh () with contour () in the example provided. Bearbeiten: Vorschläge für die Verpackung: 1) TriScatteredInterp so umschreiben, dass es Modulos verwendet; 2) spiegeln Sie die Daten um die "Kanten" der Karte, interpolieren Sie und schneiden Sie sie dann auf die ursprüngliche Größe zurück; 3) Schauen Sie sich die Matlab Mapping Toolbox an, mit der Sie geografische Informationen. Accepted Answer. Here are some of the ways. The interpolation method. 8, which doesn't make sense at all. F = TriScatteredInterp(X, V) creates an interpolant that fits a surface of the form V = F(X) to the scattered data in (X, V). Adding to Ben's answer, you can use the view command. The interpn function requires input data on a plaid grid, i. The grid represented by the coordinates X and Y has length(y) rows and length(x) columns. void TriScatteredInterp( OType& out, const InType& Fxy ) { typedef typename InType::value_type PairType; typedef typename PairType::first_type PType; typedef cv. This is the original line: ReconstructedUS(:,:,bg:en) = griddata3(TGridX, TGridY, TGridZ, US. Learn more about unexpected interpolation scatteredinterpolant triscatteredinterp bug? MATLABUsing TriScatteredInterp function in simulink. Learn more about scattered data, interpolation, triscatteredinterp Hi guys, I want to interpolate 2d scattered data from a CFD simulation to a regular grid using matlab's TriScatteredInterp. 2D interpolation using TriScatteredInterp (Matlab) Related. Any code would need to be written completely from scratch, splitting the processing between the multiple. Inicie sesión cuenta de MathWorks; Mi Cuenta; Mi perfil de la comunidad; Asociar Licencia; Cerrar sesiónBelow is my code as well as what I run it with. I have a 10018x3 matrix, where each row represents a measurement at a particular (x, y) coordinate. I am trying to generate contour/vector plots for about 15 thousand time steps of a transient computational fluid dynamics solution. Answers (2) You can use the TriScatteredInterp function. hello everybody I wonder why Mathworks considers TriScatteredInterp(x,y,z) as an extrapolation function while it only interpolates inside the area defined by "x,y" scattered points and it doesn'. Learn more about triscatteredinterp, scatteredinterpolant I tried to interpolate a set of radar reflectivity values using TriScatteredInterp (and later with scatteredInterpolant). I want to employ F = TriScatteredI. Conversely, with scattered interpolation, it's harder to figure out which neighbours should participate. Sign In to Your MathWorks Account; My Account; My Community Profile; Link License; Sign Out; Products; SolutionsYou can use the axis keyword to constrain the limits of your contour plot. TriscatteredInterp on a multi-core computer. F = TriScatteredInterp(X, V) creates an interpolant that fits a surface of the form V = F(X) to the scattered data in (X, V). As my initial data had quite a few NaN values, the final interpolation incorrectly created an entire array of NaNs. And this happens even if I'm using linear interpolation on double numbers in the cartesian to sperical conversion and using nearest neighbour in TriScatteredInterp. 0. F = TriScatteredInterp(DT,V) uses the specified DelaunayTri object DT as a basis for computing the interpolant. inpaint_nans will also work here. Learn more about scattered data, interpolation, triscatteredinterp Hi guys, I want to interpolate 2d scattered data from a CFD simulation to a regular grid using matlab's TriScatteredInterp. I have three vectors: x,y (point coordinates) and v (fluid values). Get interpolated 2D matrix by interpolating layers of 3D matrix in Matlab. The only difference in my code was just using:Using TriScatteredInterp() I can plot nice looking mesh grids at each range bin. The scatteredInterpolant class supports scattered data. So I did, and found to be twice slower for a 512 by 512 matrix. % section. Votar. It can work on multidimensional arrays. X is a matrix of size mpts-by-ndim, where mpts is the number of points and ndim is the dimension of the space where the points reside (ndim is 2 or 3). I want then to use those to create an interpolant where I can send new x,y values and get a z-value back. . . Learn more about scattered data, interpolation, triscatteredinterp Hi guys, I want to interpolate 2d scattered data from a CFD simulation to a regular grid using matlab's TriScatteredInterp. lat = rand(300, 1); lon = rand(300, 1); ptrend = peaks(lat, lon); % Make a TriScatteredInterp object. If you can post the mesh, I can post code that does the interpolation. Smooth was introduced in 2006, and smoothdata in 2017. view allows you to rotate your plot to whatever camera angle you wish. To plot irregularly spaced data in MATLAB, use the TriScatteredInterp command to create a data structure for interpolation. Here's an example in 2D, but it works exactly the same in 3D:Regarding TriScatteredInterp, I've found that it's awfully slow considering the algebraic calculation of a simple linear 2D interpolation could be done by hand. Howdy. So I've used function F=TriScatteredInterp (x,y,z,'method') to create the interpolant F. You might have been confused because of the [X, Y] argument confusion in TriScatteredInterp. 6,417 14 14 gold badges 48 48 silver badges 53 53 bronze badges. Generate a regular mesh from irregular data using interpolation. You can do better by picking the 3 dimensions yourself using factor. – buzjwa Apr 11, 2014 at 9:18 F = TriScatteredInterp(DT,V) uses the specified DelaunayTri object DT as a basis for computing the interpolant. The interpolation points are ( xi, yi ). TriScatteredInterp is used to perform interpolation on a scattered dataset that resides in 2-D or 3-D space. Use griddedInterpolant to perform interpolation. I can do the plotting bit but I can't find a simple way of transforming the column data to gridded data. Learn more about unexpected interpolation scatteredinterpolant triscatteredinterp bug? MATLABHere is my code- although I must admit that the majority is modified and copied from other resources. (So use interp2 . # I create "interpolazione. Now I understand how TriScatteredInterp works in Matlab. * I have a 450*90 matrix of values * I want to sample the matrix at 100 random sample points However, while my interp2 function runs without errors, my output results vector contains NaN value. TriScatteredInterp is used similar to griddata, in that you give it a lot of scattered points and then ask it to interpolate to find out what value is at point X,Y,Z. The matrix DT. . 'natural', 'linear', and 'nearest'? I ask because my code is currently working fine with one of the three options (nearest) but the other two return a pattern of NaNs spaced regularly in otherwise healthy output data. This produces a surface of the form V = F(X). Learn more about triscatteredinterp MATLAB Coder. Here is an example: import matplotlib. file = 'OMI-Aura_L2-OMNO2_2015m1231t0651-o60959_v003-2018m0617t014246. It does relatively well at calculating the area, in this case it's <1% off, but I'd like it to get even better than that. Use your ix variable to do it on the specified columns: That will make X a list of the rows that have not been extracted. You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). New in version 0. This decomposition has the property that an arbitrary point P within the region R{i} is closer to point i than any other point. linear tessellate the. There is no use of multiple cores, even today, using R2022b. My Objective: I wish to use the stream3 Matlab pre-built-in function. F = TriScatteredInterp(X, V) creates an interpolant that fits a surface of the form V = F(X) to the scattered data in (X, V). . If not: Theme. F = TriScatteredInterp (X, V) creates an interpolant that fits a surface of the form V = F (X) to the scattered data in (X, V). You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). I have three vectors: x,y (point coordinates) and v (fluid values). F1=TriScatteredInterp(lon,lat,ssh, 'natural'); end. If this is the case, an additional interpolation with nearest-neighbor interpolation (nearest method) is carried out to remove such NaN values on the outlier points. The column vector V defines the values at X, where the length of V. x = (1:5)'; Define the sets of sample points along the columns of matrix V. The program feeds me the coordinates and simulated E field values for each point of the mesh it generated, and I need to find the E field at arbitrary points so I'm using TriScatteredInterp to produce these values. Theme. I need to extrapolate these. For this example, I believe scatteredInterpolant can be directly substituted for TriScatteredInterp. X. Copy. e. These ordered grids of data can range from 1-D (for simple time. Updated 27 Nov 2012. インタラクティブなグラフを作れるipywidgetsを試してみたのでまとめます。公式ドキュメントはここ. DT is a Delaunay triangulation of the scattered data locations, DT. The size of the markers is determined by s, which can be a scalar or a vector of the same length as x, y, and z. F = TriScatteredInterp (X, V) creates an interpolant that fits a surface of the form V = F (X) to the scattered data in (X, V). % X, Y,Z は元のベクト. TriScatteredInterp from 3 lines to get surface. 0. Cambiar a Navegación Principal. X is of size mpts-by-ndim, where mpts is the number of points and ndim is the dimension of the space where the points reside, 2 <= ndim <= 3. Can querying "TriScatteredInterp" be. Learn more about triscatteredinterp, numerical integration, scattered dataFor interp2, the full grid is a pair of matrices whose elements represent a grid of points over a rectangular region. Learn more about triscatteredinterp . TriScatteredInterp doesn't extrapolate outside scattered data points. And now I'm able to evaluate value of F at any point. In some applications, the interpolation may yield NaN values. The matrix DT. Historically, the MATLAB approach was to use qhull to produce a triangulation, and then for each query point, query which triangle it was in and use the vertices of the triangle to do the interpolation. One-dimensional interpolation. The column vector V defines the values at X, where the. If instead you used the original triangulation to do the interpolation, then you should be able to get the desired result. *sin(pi*mesh. I would expect a value of about 0. I would like to translate *TriScatteredInterp* from *Matlab to C#* and I do these operations but they don’t work. Learn more about scattered data, interpolation, triscatteredinterp Hi guys, I want to interpolate 2d scattered data from a CFD simulation to a regular grid using matlab's TriScatteredInterp. . This produces a surface of the form V = F(X). Learn more about interpolate, triscatteredinterp, for loop, latitude, longitude I am currently having a problem interpolating unevenly spaced grid data. Warning: Creating a TriScatteredInterp using a constrained DelaunayTri. 然而，我似乎无法理解trisurf的工作原理（我尝试过使用它，但运气不佳）。. X is a matrix of size mpts-by-ndim, where mpts is the number of points and ndim is the dimension of the space where the points reside (ndim is 2 or 3). Version 1. Inicie sesión cuenta de MathWorks; Mi Cuenta; Mi perfil de la comunidad; Asociar Licencia; Cerrar sesiónDescription. class scipy. DT is a Delaunay triangulation of the scattered data locations, DT. . . Interpolating your data onto a grid. The interpolation method can be "nearest", "cubic" or. X is a matrix where each row is a copy of x, and Y is a matrix where each column is a copy of y. X is of size mpts -by- ndim , where mpts is the number of points and ndim is the dimension of the space where the points reside, 2 <= ndim <= 3 . Or you could try TriScatteredInterp() or even roifill() (if you have the Image Processing Toolbox). x = rand (100,1)*4-2; y = rand (100,1)*4-2;Unexpected interpolation result when using. Learn more about triscatteredinterp, interpolation, error, column-vector, vector, column, formatF = TriScatteredInterp(DT,V) uses the specified DelaunayTri object DT as a basis for computing the interpolant. random(100) # target grid to interpolate to xi = yi = np. I have three vectors: x,y (point coordinates) and v (fluid values). X is a matrix of size mpts-by-ndim, where mpts is the number of points and ndim is the dimension of the space where the points reside (ndim is 2 or 3). DT is a Delaunay triangulation of the scattered data locations, DT. TriScatteredInterp doesn't extrapolate. Notice that there are jagged edges near the corners of the surface. Learn more about volume, triscatteredinterp, 4d model I have a 4D model that I created of a nearby marsh that contains heavy metals. You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). Interpolate a regular mesh for your scattered points: You can use the TriScatteredInterp function to create an interpolant that you can evaluate at a given set of regularly spaced grid points, then plot the interpolated 3-D surface using the function MESH. Any code would need to be written completely from scratch, splitting the processing between the multiple. TriScatteredInterp is used to perform interpolation on a scattered dataset that resides in 2-D or 3-D space. So I would like to plot/construct a "volumetric mesh" for multiple range bins. The function is defined by z = f (x, y). 2、熟练掌握函数polyfit进行曲线拟合、nlinfit进行指定函数的拟合，并且会进行案例分析。. F = TriScatteredInterp (X, V) creates an interpolant that fits a surface of the form V = F (X) to the scattered data in (X, V). Methods using Delaunay tessellation are described in Interpolation on Scattered Data . ERROR: Input data must be specified in. The problem is the power is only interpolated using data from a single range bin, and nothing above or below. And this happens even if I'm using linear interpolation on double numbers in the cartesian to sperical conversion and using nearest neighbour in TriScatteredInterp. . This is a faster alternative to looping over your data sets. Is there a way to have the fast performance of the griddedinter. The matrix DT. A scattered data set defined by locations X and corresponding values V can be interpolated using a Delaunay triangulation of X. fid=fopen ('data. The matrix DT. Theme. X. This is the original line: ReconstructedUS(:,:,bg:en) = griddata3(TGridX, TGridY, TGridZ, US. Parameters: pointsndarray of floats, shape (npoints, ndims); or Delaunay. interpolate. . random(100) y = np. Learn more about triscatteredinterp, scatteredinterpolant I tried to interpolate a set of radar reflectivity values using TriScatteredInterp (and later with scatteredInterpolant). Matlab does a great job of reading data V at irregular grid of X,Y,Z coordinates, and interpolating from V using griddata, scatterdInterpolan, and/or TriScatteredInterp. Representing and solving a maze given an image. (…, "filled") ) (hax,. . Whenever Matlab reaches this command it. . So I. Saltar al contenido. I'm trying to very accurately calculate the area of the circle with the data using quad2d. GRIDDATA 0008 % interpolates this surface at the points specified by (XI,YI) to produce 0009 % ZI. . I have 3 variables xd,yd,zd of size 151:3 and I want to interpolate the values of z of size 31:25 for the given input values of x and y size 31:25. . arange(0,1. The column vector V defines the values at X, where the length of V. Point 1 : (x1, y1,. Specifically, the 'scatteredInterpolant' function defaults to the extrapolation method of 'linear' when the interpolation method is 'linear' or 'natural' and the extrapolation method of 'nearest. X . 0 (0) 318 Downloads. I tried repeating the interpolation by subbing "-50" in for the NaNs (I can erase bad data after), but when. Use scatteredInterpolant to perform interpolation on a 2-D or 3-D data set of scattered data . Interpolating your data onto a grid. However, this is a pretty sloppy approximation. Then, for all your desired grid points x', y', please search the triangle in which your x',y' is located. Theme. Hello, I'm using TriscatteredInterp to interpolate 3D data. The matrix DT. Cambiar a Navegación Principal. 2-D array of data point coordinates, or a precomputed Delaunay triangulation. TriScatteredInterp and griddata only interplate but can not extrapolate. I have three vectors: x,y (point coordinates) and v (fluid values). I want to interpolate these points but they are not evenly distributed so I could not use interp1. Here is my script. Both of these allow you to fit a surface of regularly-spaced data to a set of nonuniformly-spaced points (although it appears griddata is no longer recommended in newer MATLAB versions). I've written a code that uses TriScatteredInterp, but I read in Matlab's documentation that this will not be supported in future release and that I should instead use scatteredInterpolant. Trimomatic中提供两种质量过滤方式，这两种情况中一般都是会根据碱基质量值保留5'端的数据，而剪切掉3’端的数据，这是符合Illumina的测序情况的，因为在Illumina中一般都会是3'端的数据质量较差，接下来看两种不同的方法：. DT is a Delaunay triangulation of the scattered data locations, DT. Interpolation is the same operation as table lookup. Answers (2) F = TriScatteredInterp (X, V) creates an interpolant that fits a surface of the form V = F (X) to the scattered data in (X, V). TriScatteredInterp If we have a set of x, y and z values you would use it as follows F = TriScatteredInterp(x,y,z,method); This performs a Delaunay triangulation of the data, which involves creating a mesh of triangles from the data chosen in such a way so that the unique circle drawn through the 3 points of anyTriScatteredInterp is used to perform interpolation on a scattered dataset that resides in 2-D or 3-D space. scipy. Follow; Download. X. I have x,y,z data. So that proves concept. . It also gives the appearance of having uniform data whether this is true or not. In general, you call the command like so: view(AZ, EL); AZ is the azimuth or horizontal rotation, while EL is the vertical elevation. Accepted Answer. F = TriScatteredInterp(DT,V) uses the specified DelaunayTri object DT as a basis for computing the interpolant. Inputs x, y, z are vectors of the same length or x, y are vectors and z is matrix. The scatteredInterpolant class supports scattered data. , TriScatteredInterp uses a Delaunay triangulation to determine this. Unexpected interpolation result when using. Learn more about scatteredinterpolant MATLABIf you have scattered data, use TriScatteredInterp. inter_data = F (a,b); Where x,z,y is measured data and inter_data,a,b are numbers. Learn more about lion os, 2010a, triscatteredinterp, x11, crash Matlab 2010a (64 bit), does run on Lion OS, however there is a serious problem when trying to run a "TriscatteredInterp" command. If you can post the mesh, I can post code that does the. I'm not sure what the commands I'm using are doing) using TriScatteredInterp. Since you're dealing with a cylinder, which is, in essence, a 2D surface, you can still use TriScatterdInterp if you convert to polar coordinates, and, say, fit radius as a function of. TriRep, DelaunayTri, TriScatteredInterp. dtx = DelaunayTri(X);Use the data from 0 to 2π. As my initial data had quite a few NaN values, the final interpolation incorrectly created an entire array of NaNs. I tested both TriscatteredInterp, and scatteredInterpolant on a large set of data, interpolating 1e7 points through a random surface compiosed of 10000 points in 2-dimensions. DT is a Delaunay triangulation of the scattered data locations, DT. You can use TriScatteredInterp to interpolate your data onto a regular grid, which you then can use to plot the surface using surf, or a heatmap using contourf. And now I'm able to evaluate value of F at any point. However, from the data you show, it seems that they are not really sampled in a grid, i. Piecewise linear interpolant in N > 1 dimensions. weight = 3127 x 254 s = 663 x 3127 x 254 * you can ignore maskThe TriScatteredInterp function is used when interpolation is required using the natural, linear, or nearest method. The matrix DT. The column vector V defines the values at X, where the length of V. Q is a matrix of size mpts-by-ndim, where mpts is the number of points and ndim is the dimension of the space where the points reside (ndim is 2 or 3). TriScatteredInterp from 3 lines to get surface. Worse, use of a tool like a tessellation (Triscatteredinterp) is a obscenely bad way to build that surface. DT is a Delaunay triangulation of the scattered data locations, DT. X is of size mpts-by-ndim, where mpts is the number of points and ndim is the dimension of the space where the points reside, 2 <= ndim <= 3. Updated 27 Nov 2012. 1 I have been looking for a C# (C or C++ equivalents are fine too) equivalent of Mathlabs TriScatteredInterp or scatteredInterpolant methods. I have tried playing with interp1 and interp3 but can't figure out the. As my initial data had quite a few NaN values, the final interpolation inco. Show -1 older comments Hide -1 older comments. void TriScatteredInterp( OType& out, const InType& Fxy ) typedef typename InType::value_type PairType; typedef typename PairType::first_type PType;Using TriScatteredInterp to interpolate a image with irregular grid. What is the easiest way to plot this data on coloured co. X . 0. And now I'm able to evaluate value of F at any point. While it is possible to create a 3D mesh (using meshgrid) and then interpolate the intensity values for mesh points (using griddata3. . Using reshape with only 2 dimensions specified will work only if the number of elements is such that the 3rd dimension fits exactly. Cambiar a Navegación Principal. X. using TriScatteredInterp with a Image. X . In this tutorial, we are going to use a visual summary tool for rejecting bad. According to the MATLAB documentation, applying the TriScatteredInterp function on a scattered dataset with duplicates will implicitly remove the duplicates and average the associated data values. All these points, we need to implement Delaunay triangles in C++. . Once i sort through natural interpolation and their least squares linear extrapolation, it should be largely complete. inter_data = F (a,b); Where x,z,y is measured data and inter_data,a,b are numbers. Historically, the MATLAB approach was to use qhull to produce a triangulation, and then for each query point, query which triangle it was in and use the vertices of the triangle to do the interpolation. So far I've used the following code to transform my x, y, and z data into a surface plot. Points that look close in one direction are in. That is easy. TriScatteredInterp is discussed near the end. Theme. DT is a Delaunay triangulation of the scattered data locations, DT. You can also set the 'method' property of the TriScatteredInterp object to 'natural' to get a smoother result, as well, at the expense of longer computation time. Piecewise linear interpolant in N > 1 dimensions. Sign in to comment. If xi , yi are vectors then they are made into a 2-D mesh. Your data has huge expanses between those ovals where no information is provided, but a triangulation MUST span the holes. The matrix DT. 0. It's sort of overkill, but I usually use interpolation to do this (scatteredInterpolant in the latest version of Matlab, previously used TriScatteredInterp or griddata). Griddata3 and TriScatteredInterp will not interpolate data outside of the convex hull of the data. Hi, im wondering why querying the TriScatteredInterpolant is so much slower and so much more size dependent than griddedInterpolant. The column vector V defines the values at X, where the length of V. What I have is a matrix of x, y, z points that is my base data. X is a matrix of size mpts-by-ndim, where mpts is the number of points and ndim is the dimension of the space where the points reside (ndim is 2 or 3). TriScatteredInterp doesn't extrapolate. 04, but both scatteredInterpolant and TriScatteredInterp return values of -85. Hello, I'm using TriscatteredInterp to interpolate 3D data. This seems to be the question du jour. I have a 3D point cloud which isn't continuous. I'm currently writing a particle-trajectory function using input calculated from another program. hello everybody I wonder why Mathworks considers TriScatteredInterp(x,y,z) as an extrapolation function while it only interpolates inside the area defined by "x,y" scattered points and it doesn'. 2. Copy. I have seen a similar function but for "plotting" named "pcolor" for "2D" images. Description. the code that. 这两个函数功能是相同的，不过TriScatteredInterp是老版函数，MATLAB文档上不推荐使用。 函数功能 插入二维或三维散点数据 使用 scatteredInterpolant 对散点数据的二维或三维数据集执行插值。scatteredInterpolant 返回给定数据集的插值函数 F。 I want to leave MATLAB for full python integration in my scripts, and I realised that doing the same interpolation with the same values does not produce the same result on both languages! I am pretty sure the matlab code was correct so I am wondering if what I did on python is the same. I have three vectors: x,y (point coordinates) and v (fluid values). DT is a Delaunay triangulation of the scattered data locations, DT. F = TriScatteredInterp(DT,V) uses the specified DelaunayTri object DT as a basis for computing the interpolant. ) I came across functions like triscatteredInterp and scatteredInterpolant.