`scipy.interpolate._ndbspline:NdBSpline`

source: build-install/usr/lib/python3.14/site-packages/scipy/interpolate/_ndbspline.py:30

Signature

class NdBSpline(t, c, k, *, extrapolate = None)

Members

Summary

Tensor product spline object.

Extended Summary

The value at point xp = (x1, x2, ..., xN) is evaluated as a linear combination of products of one-dimensional b-splines in each of the N dimensions

c[i1, i2, ..., iN] * B(x1; i1, t1) * B(x2; i2, t2) * ... * B(xN; iN, tN)

Here B(x; i, t) is the i-th b-spline defined by the knot vector t evaluated at x.

Parameters

t : tuple of 1D ndarrays: knot vectors in directions 1, 2, ... N, len(t[i]) == n[i] + k + 1
c : ndarray, shape (n1, n2, ..., nN, ...): b-spline coefficients
k : int or length-d tuple of integers: spline degrees. A single integer is interpreted as having this degree for all dimensions.
extrapolate : bool, optional: Whether to extrapolate out-of-bounds inputs, or return nan. Default is to extrapolate.

Attributes

t : tuple of ndarrays: Knots vectors.
c : ndarray: Coefficients of the tensor-product spline.
k : tuple of integers: Degrees for each dimension.
extrapolate : bool, optional: Whether to extrapolate or return nans for out-of-bounds inputs. Defaults to true.

Methods

__call__
derivative
design_matrix

Aliases

scipy.interpolate.NdBSpline

Referenced by

This package

release:1.17.0-notes