import numpy as np
from scipy.spatial import KDTree
source = np.random.rand(10,2)
test = source[0]
tree = KDTree(source)
print tree.query(test,10)[1]
n = source.shape[0]
W = np.zeros((n, n))
for i in range(0, n):
    for j in range(0, n):
        W[i, j] = sum((source[i, ] - source[j, ]) ** 2)
n = W.shape[0]
finalRank = [0] * n
top = np.argsort(W[0, :n])
i = 0
for e in top:
    finalRank[e] += i
    i += 1
print np.array(finalRank)