multidim.PointCloud.unique_with_multiplicity

PointCloud.unique_with_multiplicity()

Look for duplicate points, and mark their multiplicity. This sets self.multiplicity

ToDo: Use Covertree.

Examples

>>> a = np.array([[5.0, 2.0], [3.0, 4.0], [5.0, 2.0]])
>>> pc = PointCloud(a)
>>> b, counts = pc.unique_with_multiplicity()
>>> print(b)
[[ 3.  4.]
 [ 5.  2.]]
>>> print(counts)
[1 2]