scipy.spatial.cKDTree.query_pairs¶

cKDTree.query_pairs(self, r, p=2., eps=0)¶

Find all pairs of points whose distance is at most r.

Parameters:

Parameters:	r : positive float The maximum distance. p : float, optional Which Minkowski norm to use. `p` has to meet the condition `1 <= p <= infinity`. eps : float, optional Approximate search. Branches of the tree are not explored if their nearest points are further than `r/(1+eps)`, and branches are added in bulk if their furthest points are nearer than `r * (1+eps)`. eps has to be non-negative. output_type : string, optional Choose the output container, ‘set’ or ‘ndarray’. Default: ‘set’
Returns:	results : set or ndarray Set of pairs `(i,j)`, with `i < j`, for which the corresponding positions are close. If output_type is ‘ndarray’, an ndarry is returned instead of a set.

r : positive float: The maximum distance.
p : float, optional: Which Minkowski norm to use. p has to meet the condition 1 <= p <= infinity.
eps : float, optional: Approximate search. Branches of the tree are not explored if their nearest points are further than r/(1+eps), and branches are added in bulk if their furthest points are nearer than r * (1+eps). eps has to be non-negative.
output_type : string, optional: Choose the output container, ‘set’ or ‘ndarray’. Default: ‘set’

Returns:

results : set or ndarray: Set of pairs (i,j), with i < j, for which the corresponding positions are close. If output_type is ‘ndarray’, an ndarry is returned instead of a set.