docs: def remap_label_indexers(obj, indexers=None, method=None, tolerance=None,
                           **indexers_kwargs):
      """
      Remap **indexers from obj.coords.
      If indexer is an instance of DataArray and it has coordinate, then this
      coordinate will be attached to pos_indexers.
  
      Returns
      -------
      pos_indexers: Same type of indexers.
          np.ndarray or Variable or DataArra
      new_indexes: mapping of new dimensional-coordinate.
      """
      from .dataarray import DataArray
      indexers = either_dict_or_kwargs(
          indexers, indexers_kwargs, 'remap_label_indexers')
  
      v_indexers = {k: v.variable.data if isinstance(v, DataArray) else v
                    for k, v in indexers.items()}
  
      pos_indexers, new_indexes = indexing.remap_label_indexers(
          obj, v_indexers, method=method, tolerance=tolerance
      )
      # attach indexer's coordinate to pos_indexers
      for k, v in indexers.items():
          if isinstance(v, Variable):
              pos_indexers[k] = Variable(v.dims, pos_indexers[k])
          elif isinstance(v, DataArray):
              # drop coordinates found in indexers since .sel() already
              # ensures alignments
              coords = OrderedDict((k, v) for k, v in v._coords.items()
                                   if k not in indexers)
              pos_indexers[k] = DataArray(pos_indexers[k],
                                          coords=coords, dims=v.dims)
      return pos_indexers, new_indexes