`scipy.interpolate._ndbspline:NdBSpline.call`

Signature

def __call__ ( self , xi , * , nu = None , extrapolate = None )

Evaluate the tensor product b-spline at xi.

xi : array_like, shape(..., ndim): The coordinates to evaluate the interpolator at. This can be a list or tuple of ndim-dimensional points or an array with the shape (num_points, ndim).
nu : sequence of length ``ndim``, optional: Orders of derivatives to evaluate. Each must be non-negative. Defaults to the zeroth derivivative.
extrapolate : bool, optional: Whether to exrapolate based on first and last intervals in each dimension, or return nan. Default is to self.extrapolate.

values : ndarray, shape ``xi.shape[:-1] + self.c.shape[ndim:]``: Interpolated values at xi