scipy.interpolate.NdBSpline.

__call__

NdBSpline.__call__(xi, *, nu=None, extrapolate=None)

Evaluate the tensor product b-spline at xi.

Parameters:

xiarray_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).

nuarray_like, optional, shape (ndim,)

Orders of derivatives to evaluate. Each must be non-negative. Defaults to the zeroth derivivative.

extrapolatebool, optional

Whether to exrapolate based on first and last intervals in each dimension, or return nan. Default is to self.extrapolate.

Returns:

valuesndarray, shape xi.shape[:-1] + self.c.shape[ndim:]

Interpolated values at xi