scipy.interpolate.splmake¶
- scipy.interpolate.splmake(xk, yk, order=3, kind='smoothest', conds=None)[source]¶
Return a representation of a spline given data-points at internal knots
Parameters: xk : array_like
The input array of x values of rank 1
yk : array_like
The input array of y values of rank N. yk can be an N-d array to represent more than one curve, through the same xk points. The first dimension is assumed to be the interpolating dimension and is the same length of xk.
order : int, optional
Order of the spline
kind : str, optional
Can be ‘smoothest’, ‘not_a_knot’, ‘fixed’, ‘clamped’, ‘natural’, ‘periodic’, ‘symmetric’, ‘user’, ‘mixed’ and it is ignored if order < 2
conds : optional
Conds
Returns: splmake : tuple
Return a (xk, cvals, k) representation of a spline given data-points where the (internal) knots are at the data-points.