interpolation

I am creating a Scipy Interpolate RectBivariateSpline as follows: import numpy as np from scipy.interpolate import RectBivariateSpline x = np.array([1,2,3,4]) y = np.array([1,2,3,4,5]) vals = np.array([ [4,1,4,4,2], [4,2,3,2,6], [3,7,4,3,5], [2,4,5,3,4] ]) rect_B_spline = RectBivariateSpline(x, y, vals) I then try to pass-in an array of x and y points: a = np.array([3.2, 3.8, 2.2]) b = np.array([2.4, 4.3, 3.3]) print(rect_B_spline(a, b)) To which I get an error as follows: Traceback (most recent call last): File "path/file", line 18, in <module> print(rect_B_spline(a, b)) File "/path/scipy

I have this less and I can't figure out how to do the math inside the string @bp-tablet-landscape: 1024px; @bp-tablet-portrait : 768px; @tablet-landscape-only: ~"only screen and (min-width:@{bp-tablet-portrait} + 1) and (max-width: @{bp-tablet-landscape})"; Usage div#header { @media @tablet-landscape-only { background: #000; } } But it doesn't quite compile correctly. It doesn't add 768px + 1 as I had hoped. Any ideas? I've tried several different flavors and I can't nail it. I can obviously define a variable outside the string concat, but I'd like to avoid that approach if possible. winLess

I have a set of 100 2-D image slices of the same size. I have used MATLAB to stack them to create a volumetric data. While the size of the 2-D slices is 480x488 pixels, the direction in which the images are stacked is not wide enough to visualize the volume in different orientation when projected. I need to interpolate along the slices to increase the size for visualization. Can somebody please give me an idea or tip about how to do it? Edit: Anotated projected microscopy-images The figure 1 is the top-view of the projected volume. The figure 2 is the side-view of the projected volume. When I

I am trying to interpolate a 3D array with cuda using texture memory with the code below. I have plotted the input f[x][y][z] to a fixed z value, then I interpolate my array for x and y and plot i again and they look totally different. I also tried this in 1 dimension (with a different code) and there it works so i assume that there must be an error in my code. Can you help me finding it? #include <cuda_runtime.h> #include <cuda.h> #include <iostream> #include <fstream> typedef float myType; texture<myType, 3> tex; cudaArray *d_volumeArray = 0; #define gpuErrchk(ans) { gpuAssert((ans), __FILE_

I have a number of 2-dimensional np.arrays (all of equal size) containing complex numbers. Each of them belongs to one position in a 4-dimensional space. Those positions are sparse and distributed irregularly (a latin hypercube to be precise). I would like to interpolate this data to other points in the same 4-dimensional space. I can successfully do this for simple numbers, using either sklearn.kriging() , scipy.interpolate.Rbf() (or others): # arrayof co-ordinates: 2 4D sets X = np.array([[1.0, 0.0, 0.0, 0.0],\ [0.0, 1.0, 0.0, 0.0]]) # two numbers, one for each of the points above Y = np

I have 9 MRI images and would like to make a 3D volume out of these images. From there, I would like to interpolate in between each slice. Given two slices in the volume, I would like to create an intermediate frame in between that interpolates between the two slices. The goal is to create an 18 MRI volume that performs this interpolation. How would I accomplish this in MATLAB? Assuming that your MRI images are in a 3D stacked volume, you can accomplish what you want by using interp3 . The rows and columns of a slice will stay the same when choosing the sampling points, but the temporal or Z

I have two 3D arrays: A=[ 12751 4616 15915 15864 4622 15667 12877 4683 21050 15816 4668 21253 11374 5006 18495 16995 5466 18493 11638 4880 20023 17078 4938 20006 11576 4886 17011 ]; and B=[ 12402 2138 15743 10285 3175 15851 10237 3084 21052 12130 2129 21299 8074 3802 18505 14515 1623 18497 8415 3713 19856 14462 1120 20061 8340 3711 17145 14483 1157 16990]; and I want to do spline or 3D interpolation between them using Interp3 in Matlab.How should I define V in VI = interp3(X,Y,Z,V,XI,YI,ZI) ? Or Y in yy = spline(x,Y,xx) . I don't quite understand your data, is B a function of A (or visa versa)