old_contents: import numpy as np
  from skimage import measure as ms
  
  
  def CondenseLabel(Label):
      """
      Shifts labels in a label image to fill in gaps corresponding to missing
      values.
  
      Parameters
      ----------
      Label : array_like
          A label image generated by segmentation methods.
  
      Returns
      -------
      Condensed : array_like
          A label image where all values > 0 are shifted down to fill gaps.
  
      See Also
      --------
      ShuffleLabel
      """
  
      # get list of unique object labels
      Unique = np.unique(Label.flatten())
  
      # remove background objects (Label == 0)
      Unique = np.delete(Unique, (Unique == 0).nonzero())
  
      # initialize output
      Condensed = np.zeros(Label.shape, dtype=np.uint32)
  
      # get pixel list for each object
      Props = ms.regionprops(Label.astype(np.int))
  
      # fill in new values
      for i in range(len(Unique)):
          Coords = Props[i].coords
          Condensed[Coords[:, 0], Coords[:, 1]] = i
  
      return Condensed
  
new_contents: import numpy as np
  from skimage import measure as ms
  
  
  def CondenseLabel(Label):
      """
      Shifts labels in a label image to fill in gaps corresponding to missing
      values.
  
      Parameters
      ----------
      Label : array_like
          A label image generated by segmentation methods.
  
      Returns
      -------
      Condensed : array_like
          A label image where all values > 0 are shifted down to fill gaps.
  
      See Also
      --------
      ShuffleLabel
      """
  
      # get list of unique object labels
      Unique = np.unique(Label.flatten())
  
      # remove background objects (Label == 0)
      Unique = np.delete(Unique, (Unique == 0).nonzero())
  
      # initialize output
      Condensed = np.zeros(Label.shape, dtype=np.uint32)
  
      # get pixel list for each object
      Props = ms.regionprops(Label)
  
      # fill in new values
      for i in range(len(Unique)):
          Coords = Props[i].coords
          Condensed[Coords[:, 0], Coords[:, 1]] = i+1
  
      return Condensed
  
subject: Update CondenseLabel.py