issue_comments: 345384115
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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| https://github.com/pydata/xarray/issues/1721#issuecomment-345384115 | https://api.github.com/repos/pydata/xarray/issues/1721 | 345384115 | MDEyOklzc3VlQ29tbWVudDM0NTM4NDExNQ== | 6628425 | 2017-11-17T22:33:37Z | 2017-11-17T22:33:37Z | MEMBER | Thanks @shoyer, I think it's the files written by the 'scipy' engine and read by the 'netcdf4' engine. Here is a minimal example: ``` In [1]: import xarray as xr In [2]: da = xr.DataArray([1, 2, 3], dims=['x']) In [3]: da.to_netcdf('test_netcdf4.nc', format='NETCDF3_CLASSIC', engine='netcdf4') In [4]: ds = xr.open_dataset('test_netcdf4.nc', engine='netcdf4') In [5]: ds = xr.open_dataset('test_netcdf4.nc', engine='scipy') In [6]: da.to_netcdf('test_scipy.nc', format='NETCDF3_CLASSIC', engine='scipy') In [7]: ds = xr.open_dataset('test_scipy.nc', engine='scipy') In [8]: ds = xr.open_dataset('test_scipy.nc', engine='netcdf4')IOError Traceback (most recent call last) <ipython-input-8-13ddc3810e0b> in <module>() ----> 1 ds = xr.open_dataset('test_scipy.nc', engine='netcdf4') //anaconda/envs/research/lib/python2.7/site-packages/xarray/backends/api.pyc in open_dataset(filename_or_obj, group, decode_cf, mask_and_scale, decode_times, autoclose, concat_characters, decode_coords, engine, chunks, lock, cache, drop_variables) 280 if engine == 'netcdf4': 281 store = backends.NetCDF4DataStore(filename_or_obj, group=group, --> 282 autoclose=autoclose) 283 elif engine == 'scipy': 284 store = backends.ScipyDataStore(filename_or_obj, //anaconda/envs/research/lib/python2.7/site-packages/xarray/backends/netCDF4_.pyc in init(self, filename, mode, format, group, writer, clobber, diskless, persist, autoclose) 208 diskless=diskless, persist=persist, 209 format=format) --> 210 self.ds = opener() 211 self._autoclose = autoclose 212 self._isopen = True //anaconda/envs/research/lib/python2.7/site-packages/xarray/backends/netCDF4_.pyc in _open_netcdf4_group(filename, mode, group, kwargs) 183 import netCDF4 as nc4 184 --> 185 ds = nc4.Dataset(filename, mode=mode, kwargs) 186 187 with close_on_error(ds): netCDF4/_netCDF4.pyx in netCDF4._netCDF4.Dataset.init() netCDF4/_netCDF4.pyx in netCDF4._netCDF4._ensure_nc_success() IOError: [Errno -36] NetCDF: Invalid argument: '/Users/skc/test_scipy.nc' ``` Here's a link to the issue upstream: https://github.com/Unidata/netcdf-c/issues/657. |
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