scipy.spatial.cKDTree.count_neighbors¶

cKDTree.count_neighbors(self, other, r, p=2.)¶

Count how many nearby pairs can be formed.

Count the number of pairs (x1,x2) can be formed, with x1 drawn from self and x2 drawn from other, and where distance(x1, x2, p) <= r. This is the “two-point correlation” described in Gray and Moore 2000, “N-body problems in statistical learning”, and the code here is based on their algorithm.

Parameters:

Parameters:	other : cKDTree instance The other tree to draw points from. r : float or one-dimensional array of floats The radius to produce a count for. Multiple radii are searched with a single tree traversal. p : float, optional 1<=p<=infinity, default 2.0 Which Minkowski p-norm to use
Returns:	result : int or 1-D array of ints The number of pairs.

other : cKDTree instance

The other tree to draw points from.

r : float or one-dimensional array of floats

The radius to produce a count for. Multiple radii are searched with a single tree traversal.

p : float, optional

1<=p<=infinity, default 2.0 Which Minkowski p-norm to use

Returns:

result : int or 1-D array of ints

The number of pairs.