napf.base.KDT.query#

KDT.query(queries, nthread=None)[source]#

scipy-like KDTree query call. Same as knn_search(queries, 1, nthreads)

Parameters:

queries ((m, d) np.ndarray) – Data type will be casted to the same type as tree_data.
nthread (int) – Default is None and will use self.nthread.

Returns:

distances_and_ids –

((m, 1) np.ndarray - double dists,): (m, 1) np.ndarray - uint ids)

Return type:

tuple