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/805#issuecomment-269031217,https://api.github.com/repos/pydata/xarray/issues/805,269031217,MDEyOklzc3VlQ29tbWVudDI2OTAzMTIxNw==,5635139,2016-12-23T18:51:10Z,2016-12-23T18:51:10Z,MEMBER,"This now works, although as an object array rather than PI. Which is probably OK:


```python
In [6]: ds
Out[6]:
<xarray.Dataset>
Dimensions:         (time: 3, x: 2, y: 2)
Coordinates:
    lon             (x, y) float64 -99.83 -99.32 -99.79 -99.23
    lat             (x, y) float64 42.25 42.21 42.63 42.59
  * time            (time) datetime64[ns] 2014-09-06 2014-09-07 2014-09-08
    reference_time  object 2014
  * x               (x) int64 0 1
  * y               (y) int64 0 1
Data variables:
    temperature     (x, y, time) float64 12.29 8.305 10.63 16.6 2.823 16.29 ...
    precipitation   (x, y, time) float64 4.541 3.618 3.336 2.332 7.987 4.197 ...

In [7]: ds.reference_time
Out[7]:
<xarray.DataArray 'reference_time' ()>
array(Period('2014', 'A-DEC'), dtype=object)
Coordinates:
    reference_time  object 2014
```

@shoyer - to close?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,143764621