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/1732#issuecomment-347108958,https://api.github.com/repos/pydata/xarray/issues/1732,347108958,MDEyOklzc3VlQ29tbWVudDM0NzEwODk1OA==,1956032,2017-11-27T08:21:15Z,2017-11-27T08:21:15Z,CONTRIBUTOR,"The scipy backend has shown to be a good alternative as of now, if not I'll write a work around though. 
Thanks for your help !","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,275744315
https://github.com/pydata/xarray/issues/1732#issuecomment-346066403,https://api.github.com/repos/pydata/xarray/issues/1732,346066403,MDEyOklzc3VlQ29tbWVudDM0NjA2NjQwMw==,1956032,2017-11-21T15:42:02Z,2017-11-21T16:01:04Z,CONTRIBUTOR,"Sorry guys, just found out that the issue is still going on with some of the variables in the dataset:

Works ok for temperature TEMP for instance:
```python
ds = xr.open_dataset(argofile, autoclose=True, decode_cf=True)
ds['TEMP']
Out[89]: 
<xarray.DataArray 'TEMP' (N_PROF: 338, N_LEVELS: 51)>
array([[ 27.393   ,  27.392   ,  27.393   , ...,   3.597   ,   3.34    ,
               nan],
       [ 27.57    ,  27.572001,  27.570999, ...,   3.543   ,   3.265   ,
               nan],
       [ 28.094999,  28.091999,  28.096001, ...,   3.544   ,   3.287   ,
               nan],
       ..., 
       [ 27.157   ,  27.156   ,  27.159   , ...,   3.318   ,        nan,
               nan],
       [ 27.608999,  27.610001,  27.608999, ...,   3.419   ,        nan,
               nan],
       [ 27.569   ,  27.566999,  27.561001, ...,   3.422   ,        nan,
               nan]])
Dimensions without coordinates: N_PROF, N_LEVELS
Attributes:
    long_name:       Sea temperature in-situ ITS-90 scale
    standard_name:   sea_water_temperature
    units:           degree_Celsius
    valid_min:       -2.5
    valid_max:       40.0
    C_format:        %9.3f
    FORTRAN_format:  F9.3
    resolution:      0.001
```

but for the variable ""HISTORY_STEP"", I get the error:
```python
ds['HISTORY_STEP']
Out[90]: Traceback (most recent call last):
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/IPython/core/formatters.py"", line 190, in catch_format_error
    r = method(self, *args, **kwargs)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/IPython/core/formatters.py"", line 672, in __call__
    printer.pretty(obj)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/IPython/lib/pretty.py"", line 383, in pretty
    return _default_pprint(obj, self, cycle)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/IPython/lib/pretty.py"", line 503, in _default_pprint
    _repr_pprint(obj, p, cycle)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/IPython/lib/pretty.py"", line 701, in _repr_pprint
    output = repr(obj)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/core/common.py"", line 100, in __repr__
    return formatting.array_repr(self)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/core/formatting.py"", line 393, in array_repr
    summary.append(short_array_repr(arr.values))
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/core/dataarray.py"", line 412, in values
    return self.variable.values
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/core/variable.py"", line 396, in values
    return _as_array_or_item(self._data)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/core/variable.py"", line 217, in _as_array_or_item
    data = np.asarray(data)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/numpy/core/numeric.py"", line 482, in asarray
    return array(a, dtype, copy=False, order=order)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/core/indexing.py"", line 557, in __array__
    self._ensure_cached()
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/core/indexing.py"", line 554, in _ensure_cached
    self.array = NumpyIndexingAdapter(np.asarray(self.array))
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/numpy/core/numeric.py"", line 482, in asarray
    return array(a, dtype, copy=False, order=order)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/core/indexing.py"", line 538, in __array__
    return np.asarray(self.array, dtype=dtype)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/numpy/core/numeric.py"", line 482, in asarray
    return array(a, dtype, copy=False, order=order)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/core/indexing.py"", line 505, in __array__
    return np.asarray(array[self.key], dtype=None)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/conventions.py"", line 388, in __getitem__
    return mask_and_scale(self.array[key], self.fill_value,
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/conventions.py"", line 498, in __getitem__
    return char_to_bytes(self.array[key])
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/conventions.py"", line 640, in char_to_bytes
    arr = np.array(arr, copy=False, order='C')
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/core/indexing.py"", line 505, in __array__
    return np.asarray(array[self.key], dtype=None)
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/backends/netCDF4_.py"", line 72, in __getitem__
    raise IndexError(msg)
IndexError: The indexing operation you are attempting to perform is not valid on netCDF4.Variable object. Try loading your data into memory first by calling .load().
Original traceback:
Traceback (most recent call last):
  File ""/Users/gmaze/anaconda/envs/obidam/lib/python2.7/site-packages/xarray/backends/netCDF4_.py"", line 61, in __getitem__
    data = getitem(self.get_array(), key)
  File ""netCDF4/_netCDF4.pyx"", line 3961, in netCDF4._netCDF4.Variable.__getitem__
  File ""netCDF4/_netCDF4.pyx"", line 4796, in netCDF4._netCDF4.Variable._get
IndexError
```

The new state of the versions:
```python
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.12.final.0
python-bits: 64
OS: Darwin
OS-release: 16.7.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: None.None
xarray: 0.10.0
pandas: 0.21.0
numpy: 1.11.3
scipy: 0.18.1
netCDF4: 1.3.1
h5netcdf: 0.3.1
Nio: None
bottleneck: 1.2.0
cyordereddict: 1.0.0
dask: 0.16.0
matplotlib: 1.5.3
cartopy: 0.15.1
seaborn: 0.7.1
setuptools: 36.5.0
pip: 9.0.1
conda: None
pytest: None
IPython: 5.2.2
sphinx: 1.5.2
```

","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,275744315
https://github.com/pydata/xarray/issues/1732#issuecomment-346058667,https://api.github.com/repos/pydata/xarray/issues/1732,346058667,MDEyOklzc3VlQ29tbWVudDM0NjA1ODY2Nw==,1956032,2017-11-21T15:18:37Z,2017-11-21T15:18:37Z,CONTRIBUTOR,"Ok, upgrading to 0.10.0 solve the issue ! Thanks
Should have tried this in the 1st place","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,275744315