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# scipy.interpolate.splmake

`scipy.interpolate.``splmake`(*args, **kwds)

  `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: | 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.