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-478764395,https://api.github.com/repos/pydata/xarray/issues/1340,478764395,MDEyOklzc3VlQ29tbWVudDQ3ODc2NDM5NQ==,26384082,2019-04-01T22:03:37Z,2019-04-01T22:03:37Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity
If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""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-298433889,https://api.github.com/repos/pydata/xarray/issues/1340,298433889,MDEyOklzc3VlQ29tbWVudDI5ODQzMzg4OQ==,1217238,2017-05-01T21:11:15Z,2017-05-01T21:11:15Z,MEMBER,"@karenamckinnon In this case, it was in the file paths, i.e., `/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`","{""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-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-297572440,https://api.github.com/repos/pydata/xarray/issues/1340,297572440,MDEyOklzc3VlQ29tbWVudDI5NzU3MjQ0MA==,1217238,2017-04-26T23:48:29Z,2017-04-26T23:48:29Z,MEMBER,"@karenamckinnon From your traceback, it looks like you're using pandas 0.14, but xarray requires at least pandas 0.15.","{""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)
in ()
----> 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-297566576,https://api.github.com/repos/pydata/xarray/issues/1340,297566576,MDEyOklzc3VlQ29tbWVudDI5NzU2NjU3Ng==,1217238,2017-04-26T23:08:55Z,2017-04-26T23:08:55Z,MEMBER,@karenamckinnon could you please share a traceback for the error?,"{""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
https://github.com/pydata/xarray/issues/1340#issuecomment-290484162,https://api.github.com/repos/pydata/xarray/issues/1340,290484162,MDEyOklzc3VlQ29tbWVudDI5MDQ4NDE2Mg==,1197350,2017-03-30T17:33:02Z,2017-03-30T17:33:02Z,MEMBER,This sounds like the kind of thing I could manage.,"{""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-290480036,https://api.github.com/repos/pydata/xarray/issues/1340,290480036,MDEyOklzc3VlQ29tbWVudDI5MDQ4MDAzNg==,1217238,2017-03-30T17:18:22Z,2017-03-30T17:18:22Z,MEMBER,"Indeed, it's not. We should add some way to pipe this arguments through `auto_combine` on to `concat`.","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,218260909
https://github.com/pydata/xarray/issues/1340#issuecomment-290478206,https://api.github.com/repos/pydata/xarray/issues/1340,290478206,MDEyOklzc3VlQ29tbWVudDI5MDQ3ODIwNg==,1197350,2017-03-30T17:12:01Z,2017-03-30T17:12:01Z,MEMBER,"`coords` is not a valid kwarg for open_mfdataset
http://xarray.pydata.org/en/latest/generated/xarray.open_mfdataset.html#xarray-open-mfdataset","{""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-290477014,https://api.github.com/repos/pydata/xarray/issues/1340,290477014,MDEyOklzc3VlQ29tbWVudDI5MDQ3NzAxNA==,1217238,2017-03-30T17:07:50Z,2017-03-30T17:07:50Z,MEMBER,"My strong suspicion is that the bottleneck here is xarray checking all the coordinates for equality in concat, when deciding whether to add a ""time"" dimension or not.
Try passing `coords='minimal'` and see if that speeds things up. See the `concat` documentation for details:
http://xarray.pydata.org/en/stable/generated/xarray.concat.html#xarray.concat
This was a convenient check for small/in-memory datasets but possibly it's not a good one going forward. It's generally slow to load all the coordinate data for comparisons, but it's even worse with the current implementation, which computes pair-wise comparisons of arrays with dask instead of doing them in parallel all at once.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,218260909