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/1340#issuecomment-298432849,https://api.github.com/repos/pydata/xarray/issues/1340,298432849,MDEyOklzc3VlQ29tbWVudDI5ODQzMjg0OQ==,8631291,2017-05-01T21:06:45Z,2017-05-01T21:06:45Z,NONE,"Got it, thanks @shoyer ! In case this happens again, which component of the traceback provided that information to you? ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,218260909
https://github.com/pydata/xarray/issues/1340#issuecomment-297571218,https://api.github.com/repos/pydata/xarray/issues/1340,297571218,MDEyOklzc3VlQ29tbWVudDI5NzU3MTIxOA==,8631291,2017-04-26T23:40:01Z,2017-04-26T23:40:01Z,NONE,"```
TypeErrorTraceback (most recent call last)
<ipython-input-152-52564f498ac3> in <module>()
----> 1 ds = xr.open_mfdataset(files[:2], concat_dim='time')

/glade/u/home/mckinnon/.local/lib/python2.7/site-packages/xarray/backends/api.pyc in open_mfdataset(paths, chunks, concat_dim, preprocess, engine, lock, **kwargs)
    304         datasets = [preprocess(ds) for ds in datasets]
    305 
--> 306     combined = auto_combine(datasets, concat_dim=concat_dim)
    307     combined._file_obj = _MultiFileCloser(file_objs)
    308     return combined

/glade/u/home/mckinnon/.local/lib/python2.7/site-packages/xarray/core/combine.pyc in auto_combine(datasets, concat_dim)
    376     grouped = itertoolz.groupby(lambda ds: tuple(sorted(ds.data_vars)),
    377                                 datasets).values()
--> 378     concatenated = [_auto_concat(ds, dim=concat_dim) for ds in grouped]
    379     merged = merge(concatenated)
    380     return merged

/glade/u/home/mckinnon/.local/lib/python2.7/site-packages/xarray/core/combine.pyc in _auto_concat(datasets, dim)
    327                                  'explicitly')
    328             dim, = concat_dims
--> 329         return concat(datasets, dim=dim)
    330 
    331 

/glade/u/home/mckinnon/.local/lib/python2.7/site-packages/xarray/core/combine.pyc in concat(objs, dim, data_vars, coords, compat, positions, indexers, mode, concat_over)
    115         raise TypeError('can only concatenate xarray Dataset and DataArray '
    116                         'objects, got %s' % type(first_obj))
--> 117     return f(objs, dim, data_vars, coords, compat, positions)
    118 
    119 

/glade/u/home/mckinnon/.local/lib/python2.7/site-packages/xarray/core/combine.pyc in _dataset_concat(datasets, dim, data_vars, coords, compat, positions)
    206     dim, coord = _calc_concat_dim_coord(dim)
    207     datasets = [as_dataset(ds) for ds in datasets]
--> 208     datasets = align(*datasets, join='outer', copy=False, exclude=[dim])
    209 
    210     concat_over = _calc_concat_over(datasets, dim, data_vars, coords)

/glade/u/home/mckinnon/.local/lib/python2.7/site-packages/xarray/core/alignment.pyc in align(*objects, **kwargs)
     78     all_indexes = defaultdict(list)
     79     for obj in objects:
---> 80         for dim, index in iteritems(obj.indexes):
     81             if dim not in exclude:
     82                 all_indexes[dim].append(index)

/glade/apps/opt/python/2.7.7/gnu-westmere/4.8.2/lib/python2.7/_abcoll.pyc in iteritems(self)
    385         'D.iteritems() -> an iterator over the (key, value) items of D'
    386         for key in self:
--> 387             yield (key, self[key])
    388 
    389     def keys(self):

/glade/u/home/mckinnon/.local/lib/python2.7/site-packages/xarray/core/coordinates.pyc in __getitem__(self, key)
    245     def __getitem__(self, key):
    246         if key in self:
--> 247             return self._variables[key].to_index()
    248         else:
    249             raise KeyError(key)

/glade/u/home/mckinnon/.local/lib/python2.7/site-packages/xarray/core/variable.pyc in to_index(self)
   1173             index = index.set_names(valid_level_names)
   1174         else:
-> 1175             index = index.set_names(self.name)
   1176         return index
   1177 

/glade/apps/opt/pandas/0.14.0/gnu/4.8.2/lib/python2.7/site-packages/pandas-0.14.0-py2.7-linux-x86_64.egg/pandas/core/index.pyc in set_names(self, names, inplace)
    380         """"""
    381         if not com.is_list_like(names):
--> 382             raise TypeError(""Must pass list-like as `names`."")
    383         if inplace:
    384             idx = self

TypeError: Must pass list-like as `names`.
```","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,218260909
https://github.com/pydata/xarray/issues/1340#issuecomment-297564148,https://api.github.com/repos/pydata/xarray/issues/1340,297564148,MDEyOklzc3VlQ29tbWVudDI5NzU2NDE0OA==,8631291,2017-04-26T22:54:01Z,2017-04-26T22:54:01Z,NONE,"I'm running into the same problem as Ryan, regarding the ValueError. However, when I try the same fix

`ds = xr.open_mfdataset(files[:4], concat_dim = 'time')`

I get the error 

`TypeError: Must pass list-like as `names`.`

Apologies if this should be on a different chain, but any idea what might be going on? ","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,218260909