[Python] Find int values in a numpy array that are "close in value" and combine them

I have a numpy array with these values: [10620.5, 11899., 11879.5, 13017., 11610.5]

import Numpy as np
array = np.array([10620.5, 11899, 11879.5, 13017, 11610.5])


I would like to get values that are "close" (in this instance, 11899 and 11879) and average them, then replace them with a single instance of the new number resulting in this:

[10620.5, 11889, 13017, 11610.5]

the term "close" would be configurable. let's say a difference of 50

the purpose of this is to create Spans on a Bokah graph, and some lines are just too close

I am super new to python in general (a couple weeks of intense dev)

I would think that I could arrange the values in order, and somehow grab the one to the left, and right, and do some math on them, replacing a match with the average value. but at the moment, I just dont have any idea yet.

Continue reading...