issue_comments: 813133441

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https://github.com/pydata/xarray/pull/5091#issuecomment-813133441 https://api.github.com/repos/pydata/xarray/issues/5091 813133441 MDEyOklzc3VlQ29tbWVudDgxMzEzMzQ0MQ== 15331990 2021-04-05T01:14:52Z 2021-04-05T01:15:51Z CONTRIBUTOR

What if we added coordinates/dims to it and it returns a stacked dimension if multiple dims? ``` def unique(da): da_stack = da.stack({'tmp_dim': da.dims}) _, index = np.unique(da_stack.values, return_index=True) return da_stack.isel({'tmp_dim': index})

da = xr.DataArray([[[0, 1, 1], [2, 3, 4], [4, 5, 6]], [[7, 8, 9], [10, 11, 12], [13, 14, 15]]], coords={'lat': [0, 1, 2], 'lon': [4, 5, 6], 'time': [7, 8]}, dims=['time', 'lat', 'lon']) unique(da) # would be da.unique() `` Then users can useda.unique().unstack()` if they like. 

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