DataArray.reindex_like(other, method=None, copy=True)

Conform this object onto the indexes of another object, filling in missing values with NaN.


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 on this data array:

  • default: don’t fill gaps
  • pad / ffill: propgate last valid index value forward
  • backfill / bfill: propagate next valid index value backward
  • nearest: use nearest valid index value (requires pandas>=0.16)

copy : bool, optional

If copy=True, the returned array’s dataset contains only copied variables. If copy=False and no reindexing is required then original variables from this array’s dataset are returned.


reindexed : DataArray

Another dataset array, with this array’s data but coordinates from the other object.