wradlib.ipol.Idw#

class wradlib.ipol.Idw(src, trg, nnearest=4, p=2.)[source]#

Bases: IpolBase

Inverse distance weighting interpolation in N dimensions.

Parameters

  • src (numpy.ndarray) – ndarray of floats, shape (npoints, ndims) of cKDTree object Data point coordinates of the source points.

  • trg (numpy.ndarray) – ndarray of floats, shape (npoints, ndims) Data point coordinates of the target points.

  • nnearest (int) – max. number of neighbours to be considered

  • p (float) – inverse distance power used in 1/dist**p

  • remove_missing (bool) – If True masks NaN values in the data values, defaults to False

Keyword Arguments

**kwargs (dict) – keyword arguments of ipclass (see class documentation)

Examples

See How to use wradlib's ipol module for interpolation tasks?.

Note

Uses scipy.spatial.cKDTree

__call__(vals, *[, maxdist])

Evaluate interpolator for values given at the source points.