code: def _guess_normalized(self):
          
          return (
              getattr(self, "_normalized", False)
              or getattr(self, "_field", None) == "abundance"
              or bool((self._results.sum(axis=1).round(4) == 1.0).all())
          )
docs: Returns true if the collated counts in `self._results` appear to be normalized.
  
          Notes
          -----
          It's possible that the _results df has already been normalized, which can cause some
          methods to fail. This method lets us guess whether that's true and act accordingly.