html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
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 use `da.unique().unstack()` if they like.
![image](https://user-images.githubusercontent.com/15331990/113527211-68b65900-9582-11eb-9592-11c17d67fe58.png)

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