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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
908526277 https://github.com/pydata/xarray/issues/5750#issuecomment-908526277 https://api.github.com/repos/pydata/xarray/issues/5750 IC_kwDOAMm_X842JwLF sjsmith757 45645265 2021-08-30T17:15:49Z 2021-08-30T17:15:49Z NONE

Actually I am guessing this is related to the underlying pandas.DatetimeIndex, which I guess only supports units of 'ns'. So perhaps there isn't much that can be done at this time, but it is not ideal to have to go to pandas documentation to see that. It is sort of suggested here, but perhaps it could be made more explicit

 
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   datetime64 data type in arrays is always 'datetime64[ns]' 982973379
628985289 https://github.com/pydata/xarray/issues/3961#issuecomment-628985289 https://api.github.com/repos/pydata/xarray/issues/3961 MDEyOklzc3VlQ29tbWVudDYyODk4NTI4OQ== sjsmith757 45645265 2020-05-15T02:14:48Z 2020-05-15T02:14:48Z NONE

Using:

  • xarray=0.15.1
  • dask=2.14.0
  • netcdf4=1.5.3

I have experienced this issue as well when writing netcdf using xr.save_mfdataset on a dataset opened using xr.open_mfdataset. As described by OP it hangs when using lock=None (default behavior) on xr.open_mfdataset(), but works fine when using lock=False.

 
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   Hangs while saving netcdf file opened using xr.open_mfdataset with lock=None 597657663

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