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/issues/2795#issuecomment-709991825,https://api.github.com/repos/pydata/xarray/issues/2795,709991825,MDEyOklzc3VlQ29tbWVudDcwOTk5MTgyNQ==,38673295,2020-10-16T11:34:05Z,2020-10-16T11:34:05Z,NONE,"Hi, I also vote for this function, My typical use-case. 

There is some structure in 3D space and I need to ""flatten it"" to 2D. Let us say it is axially symetric so I assign R and Z coordinate to points (or r and theta in polar).  And I want to simplify this using `interp`; however, it requuires unique coordinates. 

I have some solution here: https://stackoverflow.com/questions/51058379/drop-duplicate-times-in-xarray

and adapted this into actuall function: 

```python
def distribure_uniform(ds, N_points=512):

    ds_theta = ds.sortby(""theta"").swap_dims({""idx"": ""theta""})
    _, index = np.unique(ds_theta['theta'], return_index=True)

    ds_theta = ds_theta.isel(theta=index)

    ds_theta = ds_theta.interp(
        theta=np.linspace(ds.theta.min(), ds.theta.max(), N_points))

    ds_theta = ds_theta.swap_dims({""theta"": ""idx""})
    return ds_theta
```

In an idal case I would like to write something like this: 

```python
def distribure_uniform(ds, N_points=512):

    ds_theta= ds.unique(""theta"", sorted=False, sort=True)

    ds_theta = ds_theta.swap_dims({""idx"": ""theta""})
    ds_theta = ds_theta.interp(
        theta=np.linspace(ds.theta.min(), ds.theta.max(), N_points))
    ds_theta = ds_theta.swap_dims({""theta"": ""idx""})
    return ds_theta
```

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