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/839#issuecomment-240554085,https://api.github.com/repos/pydata/xarray/issues/839,240554085,MDEyOklzc3VlQ29tbWVudDI0MDU1NDA4NQ==,1217238,2016-08-17T21:26:47Z,2016-08-17T21:26:47Z,MEMBER,"Indeed `coords` is a bad keyword argument name. On `concat` it indicates which coordinates from the concatenated objects should be concatenated. It probably should be renamed something like `which_coords`. It's not a way to set new coordinates.

So you can actually do this right now if you provide a `DataArray` or `pandas.Index` as the argument `dim` argument to concat.

Instead of:

```
DA_data = xr.concat(list(D_patient_DA.values()), dim=""Patients"")
DA_data.coords[""Patients""] = list(D_patient_DA.keys())
```

you could write:

```
DA_data = xr.concat(list(D_patient_DA.values()),
                    dim=pandas.Index(D_patient_DA.keys(), name='Patients'))
```

But in this particular case (converting a dictionary to a DataArray), you can actually just use the `Dataset.to_array()` method instead, e.g., `xr.Dataset(D_patient_DA).to_array(dim='Patients')`
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