scipy.interpolate.insert¶

scipy.interpolate.
insert
(x, tck, m=1, per=0)[source]¶ Insert knots into a Bspline.
Given the knots and coefficients of a Bspline representation, create a new Bspline with a knot inserted m times at point x. This is a wrapper around the FORTRAN routine insert of FITPACK.
 Parameters
 x (u)array_like
A 1D point at which to insert a new knot(s). If tck was returned from
splprep
, then the parameter values, u should be given. tcka
BSpline
instance or a tuple If tuple, then it is expected to be a tuple (t,c,k) containing the vector of knots, the Bspline coefficients, and the degree of the spline.
 mint, optional
The number of times to insert the given knot (its multiplicity). Default is 1.
 perint, optional
If nonzero, the input spline is considered periodic.
 Returns
 BSpline instance or a tuple
A new Bspline with knots t, coefficients c, and degree k.
t(k+1) <= x <= t(nk)
, where k is the degree of the spline. In case of a periodic spline (per != 0
) there must be either at least k interior knots t(j) satisfyingt(k+1)<t(j)<=x
or at least k interior knots t(j) satisfyingx<=t(j)<t(nk)
. A tuple is returned iff the input argument tck is a tuple, otherwise a BSpline object is constructed and returned.
Notes
Based on algorithms from [1] and [2].
Manipulating the tcktuples directly is not recommended. In new code, prefer using the
BSpline
objects.References