There are several general facilities available in SciPy for interpolation and smoothing for data in 1, 2, and higher dimensions. The choice of a specific interpolation routine depends on the data: …

The interp1d class in scipy.interpolate is a convenient method to create a function based on fixed data points, which can be evaluated anywhere within the domain defined by the given data …

Scattered data interpolation (griddata)# Suppose you have multidimensional data, for instance, for an underlying function \(f(x, y)\) you only know the values at points (x[i], y[i]) that do not form a …

Interpolation (scipy.interpolate)# Sub-package for objects used in interpolation. As listed below, this sub-package contains spline functions and classes, 1-D and multidimensional (univariate …

This class returns a function whose call method uses interpolation to find the value of new points. Parameters: x (npoints, ) array_like. A 1-D array of real values. y (…, npoints, …) array_like. A …

The interp1d class in scipy.interpolate is a convenient method to create a function based on fixed data points, which can be evaluated anywhere within the domain defined by the given data …

May 11, 2014 · The interp1d class in scipy.interpolate is a convenient method to create a function based on fixed data points which can be evaluated anywhere within the domain defined by the …

scipy.interpolate. interpn (points, values, xi, method = 'linear', bounds_error = True, fill_value = nan) [source] # Multidimensional interpolation on regular or rectilinear grids. Strictly speaking, …

To overcome memory limitations for large interpolation problems, the neighbors argument can be specified to compute an RBF interpolant for each evaluation point using only the nearest data …

class scipy.interpolate. CubicSpline (x, y, axis = 0, bc_type = 'not-a-knot', extrapolate = None) [source] # Cubic spline data interpolator. Interpolate data with a piecewise cubic polynomial …