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/1244#issuecomment-277306575,https://api.github.com/repos/pydata/xarray/issues/1244,277306575,MDEyOklzc3VlQ29tbWVudDI3NzMwNjU3NQ==,1217238,2017-02-03T17:17:01Z,2017-02-03T17:17:01Z,MEMBER,"Just to be clear -- you overrode the file on disk while you had it open in another session? Indeed, that is definitely not a recommended workflow, so I'm not surprised things broke. An error would have been friendlier than silent corruption, but maybe the netcdf devs have reasons for this behavior.

Xarray loads data from disk lazily by default, so if you want to overwrite the data on disk you should call `.load()` or `.compute()` first. But generally, I recommend always creating new files. Treating data files as immutable makes it much harder to accidentally overwrite the wrong data.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,204550216
https://github.com/pydata/xarray/issues/1244#issuecomment-277028795,https://api.github.com/repos/pydata/xarray/issues/1244,277028795,MDEyOklzc3VlQ29tbWVudDI3NzAyODc5NQ==,1217238,2017-02-02T17:43:56Z,2017-02-02T17:43:56Z,MEMBER,"@SpghttCd These are underlying C libraries used by netCDF4-python. For example, on my machine:
```
In [1]: import netCDF4

In [2]: netCDF4.__hdf5libversion__
Out[2]: '1.8.17'

In [3]: netCDF4.__netcdf4libversion__
Out[3]: '4.4.1'
```

Please check if you get different data just using `netCDF4`, in which case we can report the issue upstream.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,204550216
https://github.com/pydata/xarray/issues/1244#issuecomment-276826112,https://api.github.com/repos/pydata/xarray/issues/1244,276826112,MDEyOklzc3VlQ29tbWVudDI3NjgyNjExMg==,1217238,2017-02-02T00:14:41Z,2017-02-02T00:14:41Z,MEMBER,"Are you sure that the only difference is the version of xarray? This feels like a difference in the underlying libraries -- xarray doesn't do any decoding for data that is stored as doubles without scale and add_offset.

If you're using netCDF4-python to read the data (which is the default), could you please check the versions of netCDF4-python, libnetcdf and hdf5? That would help track down if this is an xarray issue or an issue with an underlying library..","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,204550216
https://github.com/pydata/xarray/issues/1244#issuecomment-276713153,https://api.github.com/repos/pydata/xarray/issues/1244,276713153,MDEyOklzc3VlQ29tbWVudDI3NjcxMzE1Mw==,1217238,2017-02-01T16:54:40Z,2017-02-01T16:54:40Z,MEMBER,"Can you report what the raw dataset looks like, either with `ncdump -h` or `xr.open_dataset(filename).info()` (on xarray v0.9)?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,204550216