issues: 285295060
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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| 285295060 | MDU6SXNzdWUyODUyOTUwNjA= | 1806 | open_mfdataset doesn't work on some datasets with dask 0.12 | 7342379 | closed | 0 | 4 | 2018-01-01T08:05:33Z | 2019-02-03T03:29:31Z | 2019-02-03T03:29:31Z | NONE | ``` xr.open_mfdataset('TEST.000*.nc',concat_dim='test') AttributeError Traceback (most recent call last) <ipython-input-31-4dbe17730991> in <module>() ----> 1 xr.open_mfdataset('TEST.000*.nc',concat_dim='face') /usr/local/lib/python2.7/site-packages/xarray/backends/api.pyc in open_mfdataset(paths, chunks, concat_dim, compat, preprocess, engine, lock, data_vars, coords, **kwargs) 551 combined = auto_combine(datasets, concat_dim=concat_dim, 552 compat=compat, --> 553 data_vars=data_vars, coords=coords) 554 except ValueError: 555 for ds in datasets: /usr/local/lib/python2.7/site-packages/xarray/core/combine.pyc in auto_combine(datasets, concat_dim, compat, data_vars, coords) 434 concatenated = [_auto_concat(ds, dim=dim, 435 data_vars=data_vars, coords=coords) --> 436 for ds in grouped] 437 else: 438 concatenated = datasets /usr/local/lib/python2.7/site-packages/xarray/core/combine.pyc in _auto_concat(datasets, dim, data_vars, coords) 363 'explicitly') 364 dim, = concat_dims --> 365 return concat(datasets, dim=dim, data_vars=data_vars, coords=coords) 366 367 /usr/local/lib/python2.7/site-packages/xarray/core/combine.pyc in concat(objs, dim, data_vars, coords, compat, positions, indexers, mode, concat_over) 118 raise TypeError('can only concatenate xarray Dataset and DataArray ' 119 'objects, got %s' % type(first_obj)) --> 120 return f(objs, dim, data_vars, coords, compat, positions) 121 122 /usr/local/lib/python2.7/site-packages/xarray/core/combine.pyc in _dataset_concat(datasets, dim, data_vars, coords, compat, positions) 303 if k in concat_over: 304 vars = ensure_common_dims([ds.variables[k] for ds in datasets]) --> 305 combined = concat_vars(vars, dim, positions) 306 insert_result_variable(k, combined) 307 /usr/local/lib/python2.7/site-packages/xarray/core/variable.pyc in concat(variables, dim, positions, shortcut) 1685 return IndexVariable.concat(variables, dim, positions, shortcut) 1686 else: -> 1687 return Variable.concat(variables, dim, positions, shortcut) 1688 1689 /usr/local/lib/python2.7/site-packages/xarray/core/variable.pyc in concat(cls, variables, dim, positions, shortcut) 1234 axis = first_var.get_axis_num(dim) 1235 dims = first_var.dims -> 1236 data = duck_array_ops.concatenate(arrays, axis=axis) 1237 if positions is not None: 1238 # TODO: deprecate this option -- we don't need it for groupby /usr/local/lib/python2.7/site-packages/xarray/core/duck_array_ops.pyc in f(args, kwargs) 49 else: 50 module = eager_module ---> 51 return getattr(module, name)(args, kwargs) 52 else: 53 def f(data, *args, kwargs): /usr/local/lib/python2.7/site-packages/dask/array/core.pyc in concatenate(seq, axis) 2176 2177 uc_args = list(concat(zip(seq, inds))) -> 2178 _, seq = unify_chunks(*uc_args, warn=False) 2179 2180 bds = [a.chunks for a in seq] /usr/local/lib/python2.7/site-packages/dask/array/core.pyc in unify_chunks(args, *kwargs) 1898 arginds = list(partition(2, args)) # [x, ij, y, jk] -> [(x, ij), (y, jk)] 1899 -> 1900 nameinds = [(a.name, i) for a, i in arginds] 1901 blockdim_dict = dict((a.name, a.chunks) for a, _ in arginds) 1902 AttributeError: 'numpy.ndarray' object has no attribute 'name' ``` But it's works for any previous xarray version. |
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