![]() Parameters: xndarray A 1-D array of monotonically increasing real values. (PCHIP stands for Piecewise Cubic Hermite Interpolating Polynomial). The python interp1d doesn't have query points in itself, but instead creates a function which you then use to get your new data points. The interpolant uses monotonic cubic splines to find the value of new points. ![]() It also seems that the original MatLab program that I am converting should have used linear interpolation, so the question is probably moot. objnew rfinterp1 (objold,newfreq) interpolates the network parameter data in objold at the specified frequencies, newfreq, storing the results in objnew. 3 Answers Sorted by: 3 Ok so I've solved my own problem (thanks to the explanation on the MATLAB interp1 from Alex). (2048 data points)Īny thoughts as to how I can get results that are consistent with MatLab?Įdit: I understand that there is some latitude in implementation for cubic interpolation algorithms which probably accounts for the differences I'm seeing. ( Alex MATLAB interp1 ) python interp1d : f interpolate.interp 1 d ( S 0, S ii+ 1 ) temp. In MatLab the usage is slightly different: yi = interp1(x,Y,xi,'cubic')įor a trivial example the results are the same: upsample, a given 1D vector by a specific interpolation factor. ![]() I'm converting a MatLab program to Python, and I'm having problems understanding why 1d is giving different results than MatLab interp1. Python equivalent of Matlab's interp () function ( ) Raw InterpolateVector.py import scipy.interpolate def interpolate1dvector (vector, factor): ''' Interpolate, i.e.
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