interpolation

问题 If I have a matrix with first and second columns related to coordinates and third one related to a value, how could I interpolate third column values creating iscurves and colorbar ranges? M=[ 342854 657145 309 342996 657287 73 343137 657428 84 342006 657145 1122 342147 657287 777 342289 657428 426 342430 657570 638 342571 657711 200 342713 657852 787 341723 657711 1141 341864 657852 555 342006 657994 1157 342147 658135 355 342289 658277 374 341299 658135 467 341440 658277 672 341582 658418

问题 With string interpolation, how do you handle variables piped into a command that contain spaces in them? For example, if you have a variable that has spaces in it (like a UNC path), how do you handle that? This code works when no spaces are present in the "filePath" variable (i.e.; \ServerName\testfile.txt): System.Diagnostics.Process.Start("net.exe", $"use X: \\{filePath} {pwd /USER:{usr}").WaitForExit(); As soon as you encounter a path that has spaces in it, however, the command above no

问题 I have a dataset with an uneven sample frequency as seen on this subset: time date x y id nn1 nn2 0 2019-09-17 08:43:06 234 236 4909 22.02271554554524 38.2099463490856 0 2019-09-17 08:43:06 251 222 4911 22.02271554554524 46.57252408878007 1 2019-09-17 08:43:07 231 244 4909 30.4138126514911 41.617304093369626 1 2019-09-17 08:43:07 252 222 4911 30.4138126514911 46.57252408878007 1 2019-09-17 08:43:07 207 210 4900 41.617304093369626 46.57252408878007 2 2019-09-17 08:43:08 234 250 4909 33

问题 I am drawing a 3D surface mesh of human face. Data can be found at https://github.com/Patricklv/Smoothing-3D-surface, where vb.xlsx contains vertices and it.xlsx contains faces. My R code is as follows: library(xlsx) library(rgl) vb <- read.xlsx("C:\\Users\\<Username>\\Desktop\\vb.xlsx", sheetIndex = 1, header = F) it <- read.xlsx("C:\\Users\\<Username>\\Desktop\\it.xlsx", sheetIndex = 1, header = F) vb_mat <- t(as.matrix(vb)) vb_mat <- rbind(vb_mat, 1) rownames(vb_mat) <- c("xpts", "ypts",

问题 I am drawing a 3D surface mesh of human face. Data can be found at https://github.com/Patricklv/Smoothing-3D-surface, where vb.xlsx contains vertices and it.xlsx contains faces. My R code is as follows: library(xlsx) library(rgl) vb <- read.xlsx("C:\\Users\\<Username>\\Desktop\\vb.xlsx", sheetIndex = 1, header = F) it <- read.xlsx("C:\\Users\\<Username>\\Desktop\\it.xlsx", sheetIndex = 1, header = F) vb_mat <- t(as.matrix(vb)) vb_mat <- rbind(vb_mat, 1) rownames(vb_mat) <- c("xpts", "ypts",

问题 I have a set of measurement curves (represented as an array of x and an array of y values). I need to calculate the average curve of this set. The curves in the set may vary both in number of sampling points (x-values) and position of the sampling points. I first interpolate every curve linearly using scipys interp1d. I then determine the range of x-values where all curves overlap, in order for the interpolated functions to be defined. Finally i need to calculate the mean, this is where I am

问题 I created a Coroutine to handle my camera movement and direction to look and in this coroutine I have : public IEnumerator MoveCameraLookAtObject(Transform _cameraTransform, Vector3 startPos, Vector3 endPos, Vector3 lookAt, float time) { // Loop through a timed based situation. for (float i = 0f; i <= 1.0f; i += Time.deltaTime / time) { // Lerp the Movement. _cameraTransform.position = Vector3.Lerp(startPos, endPos, i); // Slerp the rotation. Vector3 relativePos = lookAt - _cameraTransform

问题 I am trying to implement a lookup table kind of thing in MATLAB. I have data generated from a script with three variables swept, let's say var_a, var_b, var_c . These are nested sweep, ( var_a -> var_b -> var_c ) And there are 10 outputs, out_01, out02, ..., out10 . Now I have arranged the each output as out_01 = f(var_a,var_b,var_c) , i.e., simply rearranging the data similar to nested loop. My question is, how can I build a lookup table for such data? I will give input like get out_01 @

问题 I have some scattered 1-d data sets and I want to interpolate with rbf function by using scipy.interpolate.Rbf function. However, for a specific set of data it seems that the interpolation fails giving LinAlgError: singular matrix error. The x-y data are: x = numpy.array([169., 161., 153., 146., 139., 134., 129., 127., 123., 121., 119., 120., 119., 121., 124., 125., 128., 133., 137., 141., 143.]]) y = numpy.array([415., 407., 398., 390., 380., 371., 361., 352., 342., 333., 321., 313., 304.,

问题 I have some scattered 1-d data sets and I want to interpolate with rbf function by using scipy.interpolate.Rbf function. However, for a specific set of data it seems that the interpolation fails giving LinAlgError: singular matrix error. The x-y data are: x = numpy.array([169., 161., 153., 146., 139., 134., 129., 127., 123., 121., 119., 120., 119., 121., 124., 125., 128., 133., 137., 141., 143.]]) y = numpy.array([415., 407., 398., 390., 380., 371., 361., 352., 342., 333., 321., 313., 304.,