- scipy.interpolate.spleval(xck, xnew, deriv=0)¶
Evaluate a fixed spline represented by the given tuple at the new x-values
The xj values are the interior knot points. The approximation region is xj to xj[-1]. If N+1 is the length of xj, then cvals should have length N+k where k is the order of the spline.
(xj, cvals, k) : tuple
Parameters that define the fixed spline
xj : array_like
Interior knot points
cvals : array_like
k : int
Order of the spline
xnew : array_like
Locations to calculate spline
deriv : int
spleval : ndarray
If cvals represents more than one curve (cvals.ndim > 1) and/or xnew is N-d, then the result is xnew.shape + cvals.shape[1:] providing the interpolation of multiple curves.
Internally, an additional k-1 knot points are added on either side of the spline.