在Python 中使用interp1d时,需要考虑运行时差异,例如输入数据的处理。例如,MATLAB 的interp1可能接受更复杂的数据输入,而在 Python 中,必须确保输入数据是数组格式。 类图对于理解两者的依赖关系变化非常有用: MATLABInterp+interp1(x, y, xi)PythonInterp+interp1d(x, y, kind) 在此,我将提供一个简单的适配层...
在MatLab中,用法略有不同:yi = interp1(x,Y,xi,’cubic’) 剪刀:f = interp1d(x,Y,kind=’cubic’) yi = f(xi) 对于一个简单的例子,结果是相同的: MatLab软件:interp1([0 1 2 3 4], [0 1 2 3 4],[1.5 2.5 3.5],’cubic’) 1.5000 2.5000 3.5000 Python:interp1d([1,2,3,4],[1,...
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interp1d and UnivariateSpline. The interp1d results match the interp1d MatLab function, but the UnivariateSpline numbers come out different – and in some cases very different.
% Define functions to allow interpolation of data RAINFALL = @(time) interp1(t,Rainfall,time); EVAP = @(time) interp1(t,Evap,time); However when I use these values later on in the code it isnt working and those functions spit out NaN values for the first timestep. ...
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It works similarly to Matlab™ or scipy functions with thelinearinterpolation mode on, except that it parallelises over any number of desired interpolation problems and exploits CUDA on the GPU x: a (N, ) or (D, N) Pytorch Tensor: Either 1-D or 2-D. It contains the coordinates of ...
Development Platform: MatlabINTERP1.M:Code Contentfunction yi = interp1(varargin)% yi=interp1(x,y,xi)根据数据(x,y)给出在xi的线性插值结果yi.% yi=interp1(x,y,xi,'spline')使用三次样条插值.% yi=interp1(x,y,xi,'cubic')使用三次插值....
2回答 使用interp1时内存不足。Matlab 、 我有两个包含大量元素的数组,matlab可以存储这些元素。当我尝试使用函数interp1对它们进行插值时,问题就出现了。有一个错误提示"out of memory - error in diff( interp1 (X)<0) if any(diff(X)<0)“我的选择是什么?length(Results)=91542016 E=...
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