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/1313#issuecomment-287577109,https://api.github.com/repos/pydata/xarray/issues/1313,287577109,MDEyOklzc3VlQ29tbWVudDI4NzU3NzEwOQ==,18236610,2017-03-18T21:45:07Z,2017-03-18T21:45:07Z,NONE,"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","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,215162161
https://github.com/pydata/xarray/issues/1313#issuecomment-287550939,https://api.github.com/repos/pydata/xarray/issues/1313,287550939,MDEyOklzc3VlQ29tbWVudDI4NzU1MDkzOQ==,18236610,2017-03-18T14:49:23Z,2017-03-18T14:49:23Z,NONE,"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
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,215162161
https://github.com/pydata/xarray/issues/1313#issuecomment-287549935,https://api.github.com/repos/pydata/xarray/issues/1313,287549935,MDEyOklzc3VlQ29tbWVudDI4NzU0OTkzNQ==,18236610,2017-03-18T14:32:36Z,2017-03-18T14:32:36Z,NONE,"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.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,215162161