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/1329#issuecomment-491952681,https://api.github.com/repos/pydata/xarray/issues/1329,491952681,MDEyOklzc3VlQ29tbWVudDQ5MTk1MjY4MQ==,1325771,2019-05-13T19:23:16Z,2019-05-13T19:23:16Z,CONTRIBUTOR,"I ran into this issue with a [file from the GOES-17 lightning mapper](https://noaa-goes17.s3.amazonaws.com/GLM-L2-LCFA/2019/111/06/OR_GLM-L2-LCFA_G17_s20191110644200_e20191110644370_c20191110645086.nc). 

A simple script to reproduce is:
```
d=xr.open_dataset('OR_GLM-L2-LCFA_G17_s20191110644200_e20191110644370_c20191110645086.nc')
d.load()
```

giving the error

```
----> 1 d.load()

~/anaconda/envs/isatss/lib/python3.7/site-packages/xarray/core/dataset.py in load(self, **kwargs)
    516         for k, v in self.variables.items():
    517             if k not in lazy_data:
--> 518                 v.load()
    519 
    520         return self

~/anaconda/envs/isatss/lib/python3.7/site-packages/xarray/core/variable.py in load(self, **kwargs)
    325             self._data = as_compatible_data(self._data.compute(**kwargs))
    326         elif not isinstance(self._data, np.ndarray):
--> 327             self._data = np.asarray(self._data)
    328         return self
    329 

~/anaconda/envs/isatss/lib/python3.7/site-packages/numpy/core/numeric.py in asarray(a, dtype, order)
    499 
    500     """"""
--> 501     return array(a, dtype, copy=False, order=order)
    502 
    503 

~/anaconda/envs/isatss/lib/python3.7/site-packages/xarray/core/indexing.py in __array__(self, dtype)
    624 
    625     def __array__(self, dtype=None):
--> 626         self._ensure_cached()
    627         return np.asarray(self.array, dtype=dtype)
    628 

~/anaconda/envs/isatss/lib/python3.7/site-packages/xarray/core/indexing.py in _ensure_cached(self)
    621     def _ensure_cached(self):
    622         if not isinstance(self.array, NumpyIndexingAdapter):
--> 623             self.array = NumpyIndexingAdapter(np.asarray(self.array))
    624 
    625     def __array__(self, dtype=None):

~/anaconda/envs/isatss/lib/python3.7/site-packages/numpy/core/numeric.py in asarray(a, dtype, order)
    499 
    500     """"""
--> 501     return array(a, dtype, copy=False, order=order)
    502 
    503 

~/anaconda/envs/isatss/lib/python3.7/site-packages/xarray/core/indexing.py in __array__(self, dtype)
    602 
    603     def __array__(self, dtype=None):
--> 604         return np.asarray(self.array, dtype=dtype)
    605 
    606     def __getitem__(self, key):

~/anaconda/envs/isatss/lib/python3.7/site-packages/numpy/core/numeric.py in asarray(a, dtype, order)
    499 
    500     """"""
--> 501     return array(a, dtype, copy=False, order=order)
    502 
    503 

~/anaconda/envs/isatss/lib/python3.7/site-packages/xarray/core/indexing.py in __array__(self, dtype)
    508     def __array__(self, dtype=None):
    509         array = as_indexable(self.array)
--> 510         return np.asarray(array[self.key], dtype=None)
    511 
    512     def transpose(self, order):

~/anaconda/envs/isatss/lib/python3.7/site-packages/numpy/core/numeric.py in asarray(a, dtype, order)
    499 
    500     """"""
--> 501     return array(a, dtype, copy=False, order=order)
    502 
    503 

~/anaconda/envs/isatss/lib/python3.7/site-packages/xarray/coding/variables.py in __array__(self, dtype)
     66 
     67     def __array__(self, dtype=None):
---> 68         return self.func(self.array)
     69 
     70     def __repr__(self):

~/anaconda/envs/isatss/lib/python3.7/site-packages/xarray/coding/times.py in decode_cf_datetime(num_dates, units, calendar, use_cftime)
    174         try:
    175             dates = _decode_datetime_with_pandas(flat_num_dates, units,
--> 176                                                  calendar)
    177         except (OutOfBoundsDatetime, OverflowError):
    178             dates = _decode_datetime_with_cftime(

~/anaconda/envs/isatss/lib/python3.7/site-packages/xarray/coding/times.py in _decode_datetime_with_pandas(flat_num_dates, units, calendar)
    139         warnings.filterwarnings('ignore', 'invalid value encountered',
    140                                 RuntimeWarning)
--> 141         pd.to_timedelta(flat_num_dates.min(), delta) + ref_date
    142         pd.to_timedelta(flat_num_dates.max(), delta) + ref_date
    143 

~/anaconda/envs/isatss/lib/python3.7/site-packages/numpy/core/_methods.py in _amin(a, axis, out, keepdims, initial)
     30 def _amin(a, axis=None, out=None, keepdims=False,
     31           initial=_NoValue):
---> 32     return umr_minimum(a, axis, None, out, keepdims, initial)
     33 
     34 def _sum(a, axis=None, dtype=None, out=None, keepdims=False,

ValueError: zero-size array to reduction operation minimum which has no identity
```



Versions: `xarray = 0.12.1, pandas = 0.24.1`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,217216935