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/5882#issuecomment-954594196,https://api.github.com/repos/pydata/xarray/issues/5882,954594196,IC_kwDOAMm_X8445fOU,42075938,2021-10-29T09:30:40Z,2021-10-29T09:30:40Z,NONE,"Thanks both for your help! Pangeo's notebook works as expected, I will start using that instead of my custom docker image.
Thanks again!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1032694511
https://github.com/pydata/xarray/issues/5882#issuecomment-954053236,https://api.github.com/repos/pydata/xarray/issues/5882,954053236,IC_kwDOAMm_X8443bJ0,17162724,2021-10-28T17:29:51Z,2021-10-28T17:29:51Z,CONTRIBUTOR,"> Thanks for trying out! I have installed xarray with conda in a newly conda environment (both python 3.6 and 3.8), but I still receive the error:
>
> @raybellwaves which python version are you using?
>
> Output of xr.open_dataset(""http://opendap.tudelft.nl/thredds/dodsC/IDRA/2019/10/01/IDRA_2019-10-01_11-00_raw_data.nc"")
I'm on 3.9 sorry I can do a full list of my env as I pull from an internal source but the core ones around netcdf I see
netcdf-fortran 4.5.3
netcdf4 1.5.7
libnetcdf 4.8.1
Works in the pangeo docker (https://github.com/pangeo-data/pangeo-docker-images/blob/master/pangeo-notebook/environment.yml) if that helps
```
docker run -it pangeo/pangeo-notebook /bin/bash
python
import xarray as xr
xr.open_dataset(""http://opendap.tudelft.nl/thredds/dodsC/IDRA/2019/10/01/IDRA_2019-10-01_11-00_raw_data.nc"")
```","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1032694511
https://github.com/pydata/xarray/issues/5882#issuecomment-954028015,https://api.github.com/repos/pydata/xarray/issues/5882,954028015,IC_kwDOAMm_X8443U_v,221526,2021-10-28T16:55:26Z,2021-10-28T16:55:26Z,CONTRIBUTOR,Can you post the full traceback you get?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1032694511
https://github.com/pydata/xarray/issues/5882#issuecomment-953986135,https://api.github.com/repos/pydata/xarray/issues/5882,953986135,IC_kwDOAMm_X8443KxX,42075938,2021-10-28T16:02:11Z,2021-10-28T16:02:22Z,NONE,"Sorry, that is in fact confusing! The original python 3.7 is my jupyter lab running in docker, while 3.6 and 3.8 are brand new conda environments.
> Your Python 3.8 environment _does_ have an old version of libnetcdf. Can you try doing `conda install -n py38 -c conda-forge ""libnetcdf>=4.7.4""` and see if that fixes your problem?
Unfortunately the error is still the same.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1032694511
https://github.com/pydata/xarray/issues/5882#issuecomment-953921596,https://api.github.com/repos/pydata/xarray/issues/5882,953921596,IC_kwDOAMm_X84427A8,221526,2021-10-28T14:49:26Z,2021-10-28T14:49:26Z,CONTRIBUTOR,"@saveriogzz I'm confused why you posted results for 3.6 and 3.8, given that the original issue looks like it was posted for 3.7. 🤨 At any rate, looks like your original issue, the output from `show_versions()` lists `libnetcdf=4.7.4`. That version should be fixed with regards to the `_FillValue type mismatch` error.
Your Python 3.8 environment *does* have an old version of libnetcdf. Can you try doing `conda install -n py38 -c conda-forge ""libnetcdf>=4.7.4""` and see if that fixes your problem?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1032694511
https://github.com/pydata/xarray/issues/5882#issuecomment-952622521,https://api.github.com/repos/pydata/xarray/issues/5882,952622521,IC_kwDOAMm_X844x925,42075938,2021-10-27T07:35:09Z,2021-10-27T07:35:09Z,NONE,"this one for python 3.6
```
# packages in environment at /home/myself/miniconda3/envs/py36:
#
# Name Version Build Channel
libnetcdf 4.7.4 nompi_h56d31a8_107 conda-forge
```
and this one for 3.8
```
# packages in environment at /home/myself/miniconda3/envs/py38:
#
# Name Version Build Channel
libnetcdf 4.6.1 h2053bdc_4
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1032694511
https://github.com/pydata/xarray/issues/5882#issuecomment-952246143,https://api.github.com/repos/pydata/xarray/issues/5882,952246143,IC_kwDOAMm_X844wh9_,221526,2021-10-26T19:29:52Z,2021-10-26T19:29:52Z,CONTRIBUTOR,@saveriogzz what is the output of `conda list libnetcdf`?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1032694511
https://github.com/pydata/xarray/issues/5882#issuecomment-949892277,https://api.github.com/repos/pydata/xarray/issues/5882,949892277,IC_kwDOAMm_X844njS1,42075938,2021-10-22T19:03:19Z,2021-10-23T15:04:06Z,NONE,"Thanks for trying out! I have installed xarray with conda in a newly conda environment (both python 3.6 and 3.8), but I still receive the error:
@raybellwaves which python version are you using?
Output of xr.open_dataset(""http://opendap.tudelft.nl/thredds/dodsC/IDRA/2019/10/01/IDRA_2019-10-01_11-00_raw_data.nc"")
Traceback (most recent call last):
File ""/home/sguzzo/miniconda3/envs/py36/lib/python3.6/site-packages/xarray/backends/file_manager.py"", line 199, in _acquire_with_cache_info
file = self._cache[self._key]
File ""/home/sguzzo/miniconda3/envs/py36/lib/python3.6/site-packages/xarray/backends/lru_cache.py"", line 53, in __getitem__
value = self._cache[key]
KeyError: [, ('http://opendap.tudelft.nl/thredds/dodsC/IDRA/2019/10/01/IDRA_2019-10-01_11-00_raw_data.nc',), 'r', (('clobber', True), ('diskless', False), ('format', 'NETCDF4'), ('persist', False))]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File """", line 1, in
File ""/home/sguzzo/miniconda3/envs/py36/lib/python3.6/site-packages/xarray/backends/api.py"", line 500, in open_dataset
**kwargs,
File ""/home/sguzzo/miniconda3/envs/py36/lib/python3.6/site-packages/xarray/backends/netCDF4_.py"", line 558, in open_dataset
autoclose=autoclose,
File ""/home/sguzzo/miniconda3/envs/py36/lib/python3.6/site-packages/xarray/backends/netCDF4_.py"", line 380, in open
return cls(manager, group=group, mode=mode, lock=lock, autoclose=autoclose)
File ""/home/sguzzo/miniconda3/envs/py36/lib/python3.6/site-packages/xarray/backends/netCDF4_.py"", line 328, in __init__
self.format = self.ds.data_model
File ""/home/sguzzo/miniconda3/envs/py36/lib/python3.6/site-packages/xarray/backends/netCDF4_.py"", line 389, in ds
return self._acquire()
File ""/home/sguzzo/miniconda3/envs/py36/lib/python3.6/site-packages/xarray/backends/netCDF4_.py"", line 383, in _acquire
with self._manager.acquire_context(needs_lock) as root:
File ""/home/sguzzo/miniconda3/envs/py36/lib/python3.6/contextlib.py"", line 81, in __enter__
return next(self.gen)
File ""/home/sguzzo/miniconda3/envs/py36/lib/python3.6/site-packages/xarray/backends/file_manager.py"", line 187, in acquire_context
file, cached = self._acquire_with_cache_info(needs_lock)
File ""/home/sguzzo/miniconda3/envs/py36/lib/python3.6/site-packages/xarray/backends/file_manager.py"", line 205, in _acquire_with_cache_info
file = self._opener(*self._args, **kwargs)
File ""src/netCDF4/_netCDF4.pyx"", line 2330, in netCDF4._netCDF4.Dataset.__init__
File ""src/netCDF4/_netCDF4.pyx"", line 1948, in netCDF4._netCDF4._ensure_nc_success
OSError: [Errno -45] NetCDF: Not a valid data type or _FillValue type mismatch: b'http://opendap.tudelft.nl/thredds/dodsC/IDRA/2019/10/01/IDRA_2019-10-01_11-00_raw_data.nc'
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1032694511
https://github.com/pydata/xarray/issues/5882#issuecomment-949880645,https://api.github.com/repos/pydata/xarray/issues/5882,949880645,IC_kwDOAMm_X844ngdF,17162724,2021-10-22T18:45:02Z,2021-10-22T18:45:02Z,CONTRIBUTOR,"Seemed ok for me. You could try installing with conda: http://xarray.pydata.org/en/stable/getting-started-guide/installing.html#instructions
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1032694511