interp_error

sofia_redux.toolkit.interpolate.interpolate.interp_error(points, error, xi, cval=nan)

Propagate errors using linear interpolation in N-dimensions

Allows linear interpolation of errors over 1 or multiple dimensions using interp_error_1d or interp_error_nd. Note, error propagation is only valid for linear interpolation in 1-dimension or linear interpolation through Delaunay triangulation in N-dimensions.

Parameters:

pointsnumpy.ndarray (nsamples, ndim) or Delaunay triangulation

Coordinates of points or the pre-computed scipy.spatial.Delaunay triangulation.

errorfloat or numpy.ndarray (nsamples,)

Error at each point.

xinumpy.ndarray (npoints, ndim)

Points at which to interpolate data.

cvalfloat, optional

Value to fill in requested interpolation points outside the data range.

Returns:

numpy.ndarray (npoints,)