issue_comments: 525538937

This data as json

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/pull/3220#issuecomment-525538937 https://api.github.com/repos/pydata/xarray/issues/3220 525538937 MDEyOklzc3VlQ29tbWVudDUyNTUzODkzNw== 6063709 2019-08-28T00:53:53Z 2019-08-28T00:53:53Z CONTRIBUTOR

HI @max-sixty. I am working on making a test, but when I serialise my test file so it is suitable for inclusion in a test it doesn't throw an error! ```

ds = xarray.open_mfdataset('temp_049.nc', decode_cf=False) xarray.decode_cf(ds) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/g/data3/hh5/public/apps/miniconda3/envs/analysis3-19.07/lib/python3.6/site-packages/xarray/conventions.py", line 479, in decode_cf decode_coords, drop_variables=drop_variables, use_cftime=use_cftime) File "/g/data3/hh5/public/apps/miniconda3/envs/analysis3-19.07/lib/python3.6/site-packages/xarray/conventions.py", line 401, in decode_cf_variables stack_char_dim=stack_char_dim, use_cftime=use_cftime) File "/g/data3/hh5/public/apps/miniconda3/envs/analysis3-19.07/lib/python3.6/site-packages/xarray/conventions.py", line 306, in decode_cf_variable var = coder.decode(var, name=name) File "/g/data3/hh5/public/apps/miniconda3/envs/analysis3-19.07/lib/python3.6/site-packages/xarray/coding/times.py", line 419, in decode self.use_cftime) File "/g/data3/hh5/public/apps/miniconda3/envs/analysis3-19.07/lib/python3.6/site-packages/xarray/coding/times.py", line 90, in _decode_cf_datetime_dtype last_item(values) or [0]]) File "/g/data3/hh5/public/apps/miniconda3/envs/analysis3-19.07/lib/python3.6/site-packages/xarray/core/formatting.py", line 99, in last_item return np.ravel(array[indexer]).tolist() AttributeError: 'Array' object has no attribute 'tolist' xarray.decode_cf(xarray.Dataset.from_dict(ds.to_dict())) <xarray.Dataset> Dimensions: (time: 5) Coordinates: * time (time) object 2198-07-02 12:00:00 ... 2202-07-02 12:00:00 Data variables: average_T1 (time) datetime64[ns] ... ds.identical(xarray.Dataset.from_dict(ds.to_dict())) True

`` SeemsDataset.identicalis failing to find something that traversingdecode_cf` does. Odd.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   481005183