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-1206833539,https://api.github.com/repos/pydata/xarray/issues/1329,1206833539,IC_kwDOAMm_X85H7tGD,13137098,2022-08-05T20:22:47Z,2022-08-05T20:22:47Z,NONE,Has anyone found a workaround for this issue? I am able to recreate the ValueError via @Thomas-Z's example using xarray 2022.6.0.,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,217216935
https://github.com/pydata/xarray/issues/1329#issuecomment-863271758,https://api.github.com/repos/pydata/xarray/issues/1329,863271758,MDEyOklzc3VlQ29tbWVudDg2MzI3MTc1OA==,1492047,2021-06-17T14:08:54Z,2021-06-17T14:11:47Z,CONTRIBUTOR,"Hello,
Using the same code sample:
```
import numpy
import xarray
ds = xarray.Dataset(
{""a"": (""x"", [])},
coords={""x"": numpy.zeros(shape=0, dtype=""M8[ns]"")})
ds.to_netcdf(""/tmp/test.nc"")
xarray.open_dataset(""/tmp/test.nc"")
```
It works on xarray 0.17 but does not work anymore with xarray 0.18 & 0.18.2.
This [addition](https://github.com/pydata/xarray/blob/master/xarray/coding/times.py#L190-L193) seems to be responsible (coming from [this commit](https://github.com/pydata/xarray/commit/fbd48d4307502f7dbe8afa37b84df59e74407820)).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,217216935
https://github.com/pydata/xarray/issues/1329#issuecomment-709570971,https://api.github.com/repos/pydata/xarray/issues/1329,709570971,MDEyOklzc3VlQ29tbWVudDcwOTU3MDk3MQ==,1956032,2020-10-15T20:25:10Z,2020-10-15T20:25:10Z,CONTRIBUTOR,"I don't know if this issue is still relevant for xarray
But I encountered the same error with https://github.com/euroargodev/argopy
and may be surprisingly, only with xarray version 0.16.1","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,217216935
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
https://github.com/pydata/xarray/issues/1329#issuecomment-318086000,https://api.github.com/repos/pydata/xarray/issues/1329,318086000,MDEyOklzc3VlQ29tbWVudDMxODA4NjAwMA==,500246,2017-07-26T15:17:54Z,2017-07-26T15:17:54Z,CONTRIBUTOR,"I'd still like to fix this but I have too much workload at the moment. However, I've noticed it's also triggered if the time axis is not empty, but we subselect data such that it becomes empty, then run `ds.load()`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,217216935
https://github.com/pydata/xarray/issues/1329#issuecomment-289496452,https://api.github.com/repos/pydata/xarray/issues/1329,289496452,MDEyOklzc3VlQ29tbWVudDI4OTQ5NjQ1Mg==,500246,2017-03-27T15:51:08Z,2017-03-27T15:51:16Z,CONTRIBUTOR,I might try it out but most likely not before the end of the week.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,217216935
https://github.com/pydata/xarray/issues/1329#issuecomment-289496168,https://api.github.com/repos/pydata/xarray/issues/1329,289496168,MDEyOklzc3VlQ29tbWVudDI4OTQ5NjE2OA==,1217238,2017-03-27T15:50:08Z,2017-03-27T15:50:08Z,MEMBER,"Thanks for the report -- marking this as a bug.
If you are able to put together a PR to fix this that would be appreciated.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,217216935