I have N number of points, for example:

A = [2, 3]
B = [3, 4]
C = [3, 3]
.
.
.

And they're in an array like so:

arr = np.array([[2, 3], [3, 4], [3, 3]])

I need as output all pairwise distances in BFS (Breadth First Search) order to track which distance is which, like: A->B, A->C, B->C. For the above example data, the result would be [1.41, 1.0, 1.0].

EDIT: I have to accomplish it with numpy or core libraries.

If you can use it, SciPy has a function for this:

In [2]: from scipy.spatial.distance import pdistIn [3]: pdist(arr)
Out[3]: array([1.41421356, 1.        , 1.        ])