code: def nearestneighbors(self,*args,**kwargs):
          
          n = NearestNeighbors.read_cellframe(self,*args,**kwargs)
          if 'measured_regions' in kwargs: n.measured_regions = kwargs['measured_regions']
          else: n.measured_regions = self.get_measured_regions()
          if 'measured_phenotypes' in kwargs: n.measured_phenotypes = kwargs['measured_phenotypes']
          else: n.measured_phenotypes = self.phenotypes
          n.microns_per_pixel = self.microns_per_pixel
          return n
docs: Use the segmented images to create per-image graphics
  
          Args:
              verbose (bool): output more details if true
              measured_regions (pandas.DataFrame): explicitly list the measured images and regions
              measured_phenotypes (list): explicitly list the phenotypes present
  
          Returns:
              NearestNeighbors: returns a class that holds nearest neighbor information for whatever phenotypes were in the CellDataFrame before execution.  This class is suitable for nearest neighbor and proximity operations.