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/667#issuecomment-159727745,https://api.github.com/repos/pydata/xarray/issues/667,159727745,MDEyOklzc3VlQ29tbWVudDE1OTcyNzc0NQ==,6200806,2015-11-25T20:45:42Z,2015-11-25T20:46:14Z,CONTRIBUTOR,"Sorry, @spencerkclark is right, the ValueError issue we had was also due to the 2D time bounds array only.  For example: (the netCDF file used below is also at ftp://ftp.gfdl.noaa.gov/pub/s1h/atmos.201001-201012.t_surf.nc)

``` python
In [1]: ds = xray.open_dataset('/archive/Spencer.Hill/am3/am3clim_hurrell/gfdl.ncrc2-intel-prod-openmp/pp/atmos/ts/monthly/1yr/atmos.201001-201012.t_surf.nc')

In [2]: print(ds)
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-2-4d24098ddece> in <module>()
----> 1 print(ds)

/home/s1h/anaconda/lib/python2.7/site-packages/xray/core/dataset.pyc in __repr__(self)
    885
    886     def __repr__(self):
--> 887         return formatting.dataset_repr(self)
    888
    889     @property

...

/home/s1h/anaconda/lib/python2.7/site-packages/pandas/tseries/timedeltas.pyc in _convert_listlike(arg, box, unit, name)
     47             value = arg.astype('timedelta64[{0}]'.format(unit)).astype('timedelta64[ns]', copy=False)
     48         else:
---> 49             value = tslib.array_to_timedelta64(_ensure_object(arg), unit=unit, errors=errors)
     50             value = value.astype('timedelta64[ns]', copy=False)
     51

pandas/tslib.pyx in pandas.tslib.array_to_timedelta64 (pandas/tslib.c:47046)()

ValueError: Buffer has wrong number of dimensions (expected 1, got 2)

In [3]: ds2 = ds.drop('time_bounds')

In [4]: print(ds2)
<xray.Dataset>
Dimensions:     (bnds: 2, lat: 90, lon: 144, time: 12)
Coordinates:
  * lat         (lat) float64 -89.0 -87.0 -85.0 -83.0 -81.0 -79.0 -77.0 ...
  * lon         (lon) float64 1.25 3.75 6.25 8.75 11.25 13.75 16.25 18.75 ...
  * time        (time) datetime64[ns] 2010-01-16T12:00:00 2010-02-15 ...
  * bnds        (bnds) int64 0 1
Data variables:
    average_DT  (time) timedelta64[ns] 31 days 28 days 31 days 30 days ...
    average_T1  (time) datetime64[ns] 2010-01-01 2010-02-01 2010-03-01 ...
    average_T2  (time) datetime64[ns] 2010-02-01 2010-03-01 2010-04-01 ...
    lat_bnds    (lat, bnds) float64 -90.0 -88.0 -88.0 -86.0 -86.0 -84.0 ...
    lon_bnds    (lon, bnds) float64 0.0 2.5 2.5 5.0 5.0 7.5 7.5 10.0 10.0 ...
    t_surf      (time, lat, lon) float64 245.9 245.9 245.8 245.7 245.7 245.6 ...
...
```

The errors I was thinking of relating to these lat- and lon-bounds were ultimately due to errors in my own code...my mistakes appear to be the unifying theme here!  Sorry for the confusion.
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