Interpolation using Radial Basis Functions. There are both procedural and object-oriented interfaces for the FITPACK library. Object-oriented interface for the underlying routines is also available.įunctions for 1- and 2-dimensional (smoothed) cubic-spline interpolation, based on the FORTRAN library FITPACK. There are several general interpolation facilities available in SciPy, for data in 1, 2, and higher dimensions:Ī class representing an interpolant ( interp1d) in 1-D, offering several interpolation methods.Ĭonvenience function griddata offering a simple interface to interpolation in N dimensions (N = 1, 2, 3, 4. Using radial basis functions for smoothing/interpolation Multivariate data interpolation ( griddata) Two-dimensional spline representation: Object-oriented ( BivariateSpline) Two-dimensional spline representation: Procedural ( bisplrep) Spline interpolation in 1-d: Object-oriented ( UnivariateSpline) Spline interpolation in 1-d: Procedural (interpolate.splXXX)
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