code: def clean_near_events(points, min_distance):
      
  
      fp = []
      points = array(points)
      while len(points) > 0:
          fp += [points[0]]
          points = points[abs(points - points[0]) > min_distance]
  
      return array(fp)
docs: Given an array with some specific points of the signal and a distance
      value, this function erases all the surplus points and returns an array
      with only one point (the first point) per distance samples values
  
      Parameters
      ----------
      points: array-like
        the events to filter.
      min_distance: int
        the distance value to exclude the unnecessary events.
  
      Returns
      -------
      fp: array-like
        the new events, after filtering just one per period.
      Example
      -------
      >>> clean_near_events([1,3,5,50,65,68,83,88],10)
      array([ 1, 50, 65, 83])
  
      See also: clean_near_peaks()