Interpolation (cupyx.scipy.interpolate)

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SciPy API Reference: Interpolation functions (scipy.interpolate)

Univariate interpolation

BarycentricInterpolator(xi[, yi, axis])	The interpolating polynomial for a set of points.
KroghInterpolator(xi, yi[, axis])	Interpolating polynomial for a set of points.
barycentric_interpolate(xi, yi, x[, axis])	Convenience function for polynomial interpolation.
krogh_interpolate(xi, yi, x[, der, axis])	Convenience function for polynomial interpolation
pchip_interpolate(xi, yi, x[, der, axis])	Convenience function for pchip interpolation.
CubicHermiteSpline(x, y, dydx[, axis, ...])	Piecewise-cubic interpolator matching values and first derivatives.
PchipInterpolator(x, y[, axis, extrapolate])	PCHIP 1-D monotonic cubic interpolation.
Akima1DInterpolator(x, y[, axis])	Akima interpolator
PPoly(c, x[, extrapolate, axis])	Piecewise polynomial in terms of coefficients and breakpoints The polynomial between x[i] and x[i + 1] is written in the local power basis.
BPoly(c, x[, extrapolate, axis])	Piecewise polynomial in terms of coefficients and breakpoints.
CubicSpline(x, y[, axis, bc_type, extrapolate])	Cubic spline data interpolator.
interp1d(x, y[, kind, axis, copy, ...])	Interpolate a 1-D function.

1-D Splines

BSpline(t, c, k[, extrapolate, axis])	Univariate spline in the B-spline basis.
make_interp_spline(x, y[, k, t, bc_type, ...])	Compute the (coefficients of) interpolating B-spline.
make_lsq_spline(x, y, t[, k, w, axis, ...])	Construct a BSpline via an LSQ (Least SQuared) fit.
splder(tck[, n])	Compute the spline representation of the derivative of a given spline
splantider(tck[, n])	Compute the spline for the antiderivative (integral) of a given spline.

Smoothing Splines

UnivariateSpline(x, y[, w, bbox, k, s, ext])	1-D smoothing spline fit to a given set of data points.
InterpolatedUnivariateSpline(x, y[, w, ...])	1-D interpolating spline for a given set of data points.
LSQUnivariateSpline(x, y, t[, w, bbox, k, ext])	1-D spline with explicit internal knots.

Multivariate interpolation

Unstructured data:

LinearNDInterpolator(points, values[, ...])	Piecewise linear interpolant in N > 1 dimensions.
NearestNDInterpolator(x, y[, rescale, ...])	NearestNDInterpolator(x, y).
CloughTocher2DInterpolator(points, values[, ...])	CloughTocher2DInterpolator(points, values, tol=1e-6).
RBFInterpolator(y, d[, neighbors, ...])	Radial basis function (RBF) interpolation in N dimensions.

For data on a grid:

interpn(points, values, xi[, method, ...])	Multidimensional interpolation on regular or rectilinear grids.
RegularGridInterpolator(points, values[, ...])	Interpolator on a regular or rectilinear grid in arbitrary dimensions.

Tensor product polynomials:

NdPPoly(c, x[, extrapolate])	Piecewise tensor product polynomial
NdBSpline(t, c, k, *[, extrapolate])	Tensor product spline object.