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/3432#issuecomment-545134181,https://api.github.com/repos/pydata/xarray/issues/3432,545134181,MDEyOklzc3VlQ29tbWVudDU0NTEzNDE4MQ==,1200058,2019-10-22T20:14:38Z,2019-10-22T20:17:26Z,NONE,"@max-sixty here you go:
```python3
import xarray as xr

print(xr.__version__)

ds = xr.Dataset({
    ""test"": xr.DataArray(
        [[[1,2],[3,4]], [[1,2],[3,4]]], 
        dims=(""genes"", ""individuals"", ""subtissues""), 
        coords={
            ""genes"": [""a"", ""b""], 
            ""individuals"": [""c"", ""d""], 
            ""subtissues"": [""e"", ""f""],
        }
    )
})
print(ds)

stacked = ds.stack(observations=[""individuals"", ""subtissues""]) 
print(stacked)

print(stacked.isel(observations=1))
```

result:
```
<xarray.Dataset>
Dimensions:       (genes: 2)
Coordinates:
  * genes         (genes) <U1 'a' 'b'
    observations  object ('c', 'f')
Data variables:
    test          (genes) int64 2 2
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,510844652