DefaultExtrapolator: ExtrapolatorType

__init__(self, grid, vals, interpolation_function=None, interpolation_order=None, extrapolator=None, extrapolation_order=None, **interpolation_opts): 

• grid: np.ndarray

  an unstructured grid of points or a structured grid of points or a 1D array

• vals: np.ndarray

  the values at the grid points

• interpolation_function: None | BasicInterpolator

  the basic function to be used to handle the raw interpolation

• interpolation_order: int | str | None

  the order of extrapolation to use (when applicable)

• extrapolator: Extrapolator | None | str | function

  the extrapolator to use for data points not on the grid

• extrapolation_order: int | str | None

  the order of extrapolation to use by default

• interpolation_opts: Any

  the options to be fed into the interpolating_function

get_interpolator(grid, vals, interpolation_order=None, allow_extrapolation=True, **opts): 

Returns a function that can be called on grid points to interpolate them

• grid: Mesh

• vals: np.ndarray

• interpolation_order: int | str | None

• opts: Any

• :returns: function

  i n t e r p o l a t o r

get_extrapolator(grid, vals, extrapolation_order=1, **opts): 

Returns an Extrapolator that can be called on grid points to extrapolate them

• grid: Mesh

• extrapolation_order: int

• :returns: Extrapolator

  e x t r a p o l a t o r

apply(self, grid_points, **opts): 

Interpolates then extrapolates the function at the grid_points

• grid_points: Any

• :returns: _

derivative(self, order): 

Returns a new function representing the requested derivative of the current interpolator

• order: Any

• :returns: _

__call__(self, *args, **kwargs):