__init__(self, grids, vals, caller=None, order=None, extrapolate=True, periodic=False, boundary_conditions=None): 

• grids: Any

• points: Any

• caller: Any

• order: int | Iterable[int]

@classmethod
get_base_spline(cls, grid, vals, order, periodic=False, boundary_conditions=None, extrapolate=False): 

@classmethod
construct_ndspline(cls, grids, vals, order, extrapolate=True, periodic=False, boundary_conditions=None): 

Builds a tensor product ndspline by constructing a product of 1D splines

• grids: Iterable[np.ndarray]

  grids for each dimension independently

• vals: np.ndarray

• order: int | Iterable[int]

• :returns: interpolate.NdPPoly

handle_periodicity(self, coords): 

__call__(self, coords, *etc, **kwargs): 

• args: Any

• kwargs: Any

• :returns: np.ndarray

derivative(self, order): 

• order: Any

• :returns: ProductGridInterpolator