code: def label_stats(image, label_image):
      
      image_float = image.clone('float')
      label_image_int = label_image.clone('unsigned int')
  
      libfn = utils.get_lib_fn('labelStats%iD' % image.dimension)
      df = libfn(image_float.pointer, label_image_int.pointer)
      #df = df[order(df$LabelValue), ]
      return pd.DataFrame(df)
docs: Get label statistics from image
  
      ANTsR function: `labelStats`
      
      Arguments
      ---------
      image : ANTsImage 
          Image from which statistics will be calculated
      
      label_image : ANTsImage
          Label image
  
      Returns
      -------
      ndarray ?
      
      Example
      -------
      >>> import ants
      >>> image = ants.image_read( ants.get_ants_data('r16') , 2 )
      >>> image = ants.resample_image( image, (64,64), 1, 0 )
      >>> mask = ants.get_mask(image)
      >>> segs1 = ants.kmeans_segmentation( image, 3 )
      >>> stats = ants.label_stats(image, segs1['segmentation'])