scipy.interpolate.splmake¶

scipy.interpolate.splmake(*args, **kwds)[source]¶

splmake is deprecated! splmake is deprecated in scipy 0.19.0, use make_interp_spline instead.

Return a representation of a spline given data-points at internal knots

Parameters:

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.

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.