- Nearest.__call__(vals, *, maxdist=None)#
Evaluate interpolator for values given at the source points.
You can interpolate multiple datasets of source values (
vals) at once: the
valsarray should have the shape (number of source points, number of source datasets). If you want to interpolate only one set of source values,
valscan 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 as
vals, i.e. it will be a flat 1-D array in case
valsis a 1-D array.
numpy.ndarray) – ndarray of float, shape (numsourcepoints, …) Values at the source points which to interpolate
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
numpy.ndarray) – ndarray of float with shape (numtargetpoints,…)