issue_comments

I am a little confused about the documentation relating to this issue. It says in the documentation at http://xarray.pydata.org/en/stable/data-structures.html#coordinates "non-dimension coordinates are variables that contain coordinate data, but are not a dimension coordinate. They can be multidimensional (see Working with Multidimensional Coordinates), and there is no relationship between the name of a non-dimension coordinate and the name(s) of its dimension(s). Non-dimension coordinates can be useful for indexing or plotting; otherwise, xarray does not make any direct use of the values associated with them. They are not used for alignment or automatic indexing, nor are they required to match when doing arithmetic (see Coordinates)."

Is this an issue that has been resolved, and if so an example on how to do this would be helpful in the documentation. If not, should the documentation be corrected?

Thanks Ryan. This problem has now been resolved. I did have netcdf4 but was missing hdf4, which is the reason that netcdf4 module won't load. I am a little surprised, if hdf4 is a dependency (lack of which doesn't even allow the module to load), then why is not automatically installed when conda installs netcdf4? A similar issue was raised here - https://github.com/Unidata/netcdf4-python/issues/574

Working on sharing the file now.

I get this error when I tried xr.open_dataset(os.path.join(ddir, 'PHY_FLUXES_FILES/roms_dia_avg_y17.nc'), engine='netcdf4')

ImportErrorTraceback (most recent call last) <ipython-input-107-e99174a6594f> in <module>() ----> 1 xr.open_dataset(os.path.join(ddir, 'PHY_FLUXES_FILES/roms_dia_avg_y17.nc'), engine='netcdf4')

/home/dbalwada/.conda/envs/dhruvenv/lib/python2.7/site-packages/xarray/backends/api.pyc in open_dataset(filename_or_obj, group, decode_cf, mask_and_scale, decode_times, concat_characters, decode_coords, engine, chunks, lock, cache, drop_variables) 285 allow_remote=True) 286 if engine == 'netcdf4': --> 287 store = backends.NetCDF4DataStore(filename_or_obj, group=group) 288 elif engine == 'scipy': 289 store = backends.ScipyDataStore(filename_or_obj)

/home/dbalwada/.conda/envs/dhruvenv/lib/python2.7/site-packages/xarray/backends/netCDF4_.pyc in init(self, filename, mode, format, group, writer, clobber, diskless, persist) 203 diskless=diskless, persist=persist, 204 format=format) --> 205 self.ds = opener() 206 self.format = format 207 self.is_remote = is_remote_uri(filename)

/home/dbalwada/.conda/envs/dhruvenv/lib/python2.7/site-packages/xarray/backends/netCDF4_.pyc in _open_netcdf4_group(filename, mode, group, kwargs) 177 178 def _open_netcdf4_group(filename, mode, group=None, kwargs): --> 179 import netCDF4 as nc4 180 181 ds = nc4.Dataset(filename, mode=mode, **kwargs)

/home/dbalwada/.conda/envs/dhruvenv/lib/python2.7/site-packages/netCDF4/init.py in <module>() 1 # init for netCDF4. package 2 # Docstring comes from extension module _netCDF4. ----> 3 from ._netCDF4 import * 4 # Need explicit imports for names beginning with underscores 5 from ._netCDF4 import doc, pdoc

ImportError: libmfhdf.so.0: cannot open shared object file: No such file or directory

I already had netcdf4 installed. I am able to open other netcdf files.

I get a similar error when I use open_dataset --

Exception AttributeError: "'netcdf_file' object has no attribute 'fp'" in <bound method netcdf_file.close of \<scipy.io.netcdf.netcdf_file object at 0x7eda808e8150>> ignored

ValueErrorTraceback (most recent call last) <ipython-input-106-cb7e7a66f9a4> in <module>() ----> 1 ds_flux = xr.open_dataset(os.path.join(ddir, 'PHY_FLUXES_FILES/roms_dia_avg_y17.nc')) 2 ds_flux

/home/dbalwada/.conda/envs/dhruvenv/lib/python2.7/site-packages/xarray/backends/api.pyc in open_dataset(filename_or_obj, group, decode_cf, mask_and_scale, decode_times, concat_characters, decode_coords, engine, chunks, lock, cache, drop_variables) 287 store = backends.NetCDF4DataStore(filename_or_obj, group=group) 288 elif engine == 'scipy': --> 289 store = backends.ScipyDataStore(filename_or_obj) 290 elif engine == 'pydap': 291 store = backends.PydapDataStore(filename_or_obj)

/home/dbalwada/.conda/envs/dhruvenv/lib/python2.7/site-packages/xarray/backends/scipy_.pyc in init(self, filename_or_obj, mode, format, group, writer, mmap) 100 filename=filename_or_obj, 101 mode=mode, mmap=mmap, version=version) --> 102 self.ds = opener() 103 self._opener = opener 104 self._mode = mode

/home/dbalwada/.conda/envs/dhruvenv/lib/python2.7/site-packages/xarray/backends/scipy_.pyc in _open_scipy_netcdf(filename, mode, mmap, version) 63 64 return scipy.io.netcdf_file(filename, mode=mode, mmap=mmap, ---> 65 version=version) 66 67

/home/dbalwada/.conda/envs/dhruvenv/lib/python2.7/site-packages/scipy/io/netcdf.pyc in init(self, filename, mode, mmap, version, maskandscale) 262 263 if mode in 'ra': --> 264 self._read() 265 266 def setattr(self, attr, value):

/home/dbalwada/.conda/envs/dhruvenv/lib/python2.7/site-packages/scipy/io/netcdf.pyc in _read(self) 584 self._read_dim_array() 585 self._read_gatt_array() --> 586 self._read_var_array() 587 588 def _read_numrecs(self):

/home/dbalwada/.conda/envs/dhruvenv/lib/python2.7/site-packages/scipy/io/netcdf.pyc in _read_var_array(self) 689 # Build rec array. 690 if self.use_mmap: --> 691 rec_array = self._mm_buf[begin:begin+self._recs*self._recsize].view(dtype=dtypes) 692 rec_array.shape = (self._recs,) 693 else:

ValueError: new type not compatible with array.