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/2822#issuecomment-477653931,https://api.github.com/repos/pydata/xarray/issues/2822,477653931,MDEyOklzc3VlQ29tbWVudDQ3NzY1MzkzMQ==,5186647,2019-03-28T15:48:04Z,2019-03-28T15:48:04Z,NONE,"Interesting! I wonder why using the netCDF4 python interface works fine with this scenario. It must not be using the nccopy code. I will see if I can test a newer netcdf library. This is definitely an edge case, but thanks for providing a workaround! The netCDF file is an excerpt from a hydrology water modeling input file. Definitely a bit of legacy workflows and files involved.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,422903285 https://github.com/pydata/xarray/issues/2822#issuecomment-475487497,https://api.github.com/repos/pydata/xarray/issues/2822,475487497,MDEyOklzc3VlQ29tbWVudDQ3NTQ4NzQ5Nw==,1217238,2019-03-22T04:08:32Z,2019-03-22T04:08:32Z,MEMBER,"I can reproduce this with libnetcdf 4.6.2. It looks like this problem is associated with having a `_NCProperties` attribute on a netCDF3 file: ``` >>> netCDF4.Dataset('some_netcdf_classic_file_simple.nc') root group (NETCDF3_CLASSIC data model, file format NETCDF3): _NCProperties: version=1|netcdflibversion=4.6.1|hdf5libversion=1.8.20 Conventions: CF-1.5 featureType: timeSeries NCO: netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco) nco_openmp_thread_number: 1 dimensions(sizes): feature_id(1) variables(dimensions): >i4 Q_TYPE(feature_id), >f4 lat(feature_id), >f4 lon(feature_id) groups: ``` This appears to be fixed in libnetcdf 4.6.3 (https://github.com/Unidata/netcdf-c/issues/803), if you can upgrade to that version. In the meantime, you can manually delete the `_NCProperties` attribute, e.g., `del data.attrs['_NCProperties']` Out of curiosity, where did this netCDF file come from?","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",,422903285 https://github.com/pydata/xarray/issues/2822#issuecomment-474907748,https://api.github.com/repos/pydata/xarray/issues/2822,474907748,MDEyOklzc3VlQ29tbWVudDQ3NDkwNzc0OA==,5186647,2019-03-20T16:13:43Z,2019-03-20T16:13:43Z,NONE," [minimal_example.tar.gz](https://github.com/pydata/xarray/files/2989093/minimal_example.tar.gz) Here is a netcdf file and the minimal code to produce `AttributeError: NetCDF: String match to name in use`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,422903285 https://github.com/pydata/xarray/issues/2822#issuecomment-474871120,https://api.github.com/repos/pydata/xarray/issues/2822,474871120,MDEyOklzc3VlQ29tbWVudDQ3NDg3MTEyMA==,1217238,2019-03-20T15:02:22Z,2019-03-20T15:02:22Z,MEMBER,"OK, in that case please provide a full example that I can run.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,422903285 https://github.com/pydata/xarray/issues/2822#issuecomment-474837398,https://api.github.com/repos/pydata/xarray/issues/2822,474837398,MDEyOklzc3VlQ29tbWVudDQ3NDgzNzM5OA==,5186647,2019-03-20T13:50:07Z,2019-03-20T13:50:07Z,NONE,"> ``` > with xr.open_dataset('some_netcdf_classic_file') as ds: > data = ds > # do something with data > data.to_netcdf('some_new_file', 'w') > ``` > or > > ``` > with xr.open_dataset('some_netcdf_classic_file') as ds: > data = ds.load() > #do something with data > data.to_netcdf('some_new_file', 'w') > ``` I just tried both of these in a minimal example and I still get the same exception. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,422903285 https://github.com/pydata/xarray/issues/2822#issuecomment-474641356,https://api.github.com/repos/pydata/xarray/issues/2822,474641356,MDEyOklzc3VlQ29tbWVudDQ3NDY0MTM1Ng==,1217238,2019-03-20T00:54:34Z,2019-03-20T00:54:43Z,MEMBER,"When you leave the `with` context, the original file is automatically closed. But something like either of these should work: ``` with xr.open_dataset('some_netcdf_classic_file') as ds: data = ds # do something with data data.to_netcdf('some_new_file', 'w') ``` or ``` with xr.open_dataset('some_netcdf_classic_file') as ds: data = ds.load() #do something with data data.to_netcdf('some_new_file', 'w') ```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,422903285