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  • xarray · 1 ✖
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
128749355 MDExOlB1bGxSZXF1ZXN0NTcxNzg1MzU= 726 Make import error of tokenize more explicit rafa-guedes 7799184 closed 0     2 2016-01-26T07:46:21Z 2016-01-27T16:27:05Z 2016-01-27T16:26:55Z CONTRIBUTOR   0 pydata/xarray/pulls/726

This ImportError is raised when using open_mfdataset, even though my version of dask is > 0.6:

```

ImportError Traceback (most recent call last) <ipython-input-2-6d05f9a40585> in <module>() ----> 1 dset = xarray.open_mfdataset('/Users/rafaguedes/work/campos20150709_0*.nc')

/source/xarray/xarray/backends/api.pyc in open_mfdataset(paths, chunks, concat_dim, preprocess, engine, lock, kwargs) 297 lock = _default_lock(paths[0], engine) 298 datasets = [open_dataset(p, engine=engine, chunks=chunks or {}, lock=lock, --> 299 kwargs) for p in paths] 300 file_objs = [ds._file_obj for ds in datasets] 301

/source/xarray/xarray/backends/api.pyc in open_dataset(filename_or_obj, group, decode_cf, mask_and_scale, decode_times, concat_characters, decode_coords, engine, chunks, lock, drop_variables) 222 lock = _default_lock(filename_or_obj, engine) 223 with close_on_error(store): --> 224 return maybe_decode_store(store, lock) 225 else: 226 if engine is not None and engine != 'scipy':

/source/xarray/xarray/backends/api.pyc in maybe_decode_store(store, lock) 163 except ImportError: 164 import dask # raise the usual error if dask is entirely missing --> 165 raise ImportError('xarray requires dask version 0.6 or newer') 166 167 if (isinstance(filename_or_obj, basestring) and

ImportError: xarray requires dask version 0.6 or newer ```

In [3]: import dask In [4]: dask.__version__ Out[4]: '0.7.6'

This change ensures the actual error caused by the missing library is displayed:

```

ImportError Traceback (most recent call last) <ipython-input-2-6d05f9a40585> in <module>() ----> 1 dset = xarray.open_mfdataset('/Users/rafaguedes/work/campos20150709_0*.nc')

/source/xarray/xarray/backends/api.py in open_mfdataset(paths, chunks, concat_dim, preprocess, engine, lock, kwargs) 300 lock = _default_lock(paths[0], engine) 301 datasets = [open_dataset(p, engine=engine, chunks=chunks or {}, lock=lock, --> 302 kwargs) for p in paths] 303 file_objs = [ds._file_obj for ds in datasets] 304

/source/xarray/xarray/backends/api.py in open_dataset(filename_or_obj, group, decode_cf, mask_and_scale, decode_times, concat_characters, decode_coords, engine, chunks, lock, drop_variables) 225 lock = _default_lock(filename_or_obj, engine) 226 with close_on_error(store): --> 227 return maybe_decode_store(store, lock) 228 else: 229 if engine is not None and engine != 'scipy':

/source/xarray/xarray/backends/api.py in maybe_decode_store(store, lock) 166 raise ImportError('xarray requires dask version 0.6 or newer') 167 else: --> 168 raise ImportError(err) 169 170 if (isinstance(filename_or_obj, basestring) and

ImportError: No module named toolz ```

 
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     xarray 13221727 pull

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