wradlib.ipol.Nearest.__call__#
- Nearest.__call__(vals, *, maxdist=None)[source]#
Evaluate interpolator for values given at the source points.
You can interpolate multiple datasets of source values (
vals
) at once: thevals
array should have the shape (number of source points, number of source datasets). If you want to interpolate only one set of source values,vals
can have the shape (number of source points, 1) or just (number of source points, ) - which is a flat/1-D array. The output will have the same number of dimensions asvals
, i.e. it will be a flat 1-D array in casevals
is a 1-D array.- Parameters:
vals (
numpy.ndarray
) – ndarray of float, shape (numsourcepoints, …) Values at the source points which to interpolatemaxdist (
float
) – the maximum distance up to which an interpolated values is assigned - if maxdist is exceeded, np.nan will be assigned If maxdist==None, values will be assigned everywhere
- Returns:
output (
numpy.ndarray
) – ndarray of float with shape (numtargetpoints,…)