code: def _ensure_arraylike(values):
      
      if not is_array_like(values):
          inferred = lib.infer_dtype(values, skipna=False)
          if inferred in ['mixed', 'string', 'unicode']:
              if isinstance(values, tuple):
                  values = list(values)
              values = construct_1d_object_array_from_listlike(values)
          else:
              values = np.asarray(values)
      return values
docs: ensure that we are arraylike if not already