Thanks to John Vinyard for suggesting scipy. After some good research and testing, here is the solution to this question:
Prerequisites:
Install Numpy and SciPy

Import the SciPy and Numpy Modules

Make a copy of the 5 dimensional array including just the X and Y values.

Create an instance of a
cKDTree
as such:YourTreeName = scipy.spatial.cKDTree(YourArray, leafsize=100) #Play with the leafsize to get the fastest result for your dataset

Query the
cKDTree
for the Nearest Neighbor within 6 units as such:for item in YourArray: TheResult = YourTreeName.query(item, k=1, distance_upper_bound=6)
for each item in
YourArray
,TheResult
will be a tuple of the distance between the two points, and the index of the location of the point inYourArray
.