scipy.interpolate.NdBSpline.
__call__#
- NdBSpline.__call__(xi, *, nu=None, extrapolate=None)[source]#
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
- valuesndarray, shape