code: def reindex_like(self, other, method=None, tolerance=None, copy=True):
          
          indexers = alignment.reindex_like_indexers(self, other)
          return self.reindex(indexers=indexers, method=method, copy=copy,
                              tolerance=tolerance)
docs: Conform this object onto the indexes of another object, filling
          in missing values with NaN.
  
          Parameters
          ----------
          other : Dataset or DataArray
              Object with an 'indexes' attribute giving a mapping from dimension
              names to pandas.Index objects, which provides coordinates upon
              which to index the variables in this dataset. The indexes on this
              other object need not be the same as the indexes on this
              dataset. Any mis-matched index values will be filled in with
              NaN, and any mis-matched dimension names will simply be ignored.
          method : {None, 'nearest', 'pad'/'ffill', 'backfill'/'bfill'}, optional
              Method to use for filling index values from other not found in this
              dataset:
  
              * None (default): don't fill gaps
              * pad / ffill: propagate last valid index value forward
              * backfill / bfill: propagate next valid index value backward
              * nearest: use nearest valid index value (requires pandas>=0.16)
          tolerance : optional
              Maximum distance between original and new labels for inexact
              matches. The values of the index at the matching locations must
              satisfy the equation ``abs(index[indexer] - target) <= tolerance``.
              Requires pandas>=0.17.
          copy : bool, optional
              If ``copy=True``, data in the return value is always copied. If
              ``copy=False`` and reindexing is unnecessary, or can be performed
              with only slice operations, then the output may share memory with
              the input. In either case, a new xarray object is always returned.
  
          Returns
          -------
          reindexed : Dataset
              Another dataset, with this dataset's data but coordinates from the
              other object.
  
          See Also
          --------
          Dataset.reindex
          align