issues: 215162161
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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| 215162161 | MDU6SXNzdWUyMTUxNjIxNjE= | 1313 | Problems opening ROMS restart format files | 18236610 | closed | 0 | 7 | 2017-03-18T03:06:41Z | 2017-03-18T21:45:12Z | 2017-03-18T21:45:12Z | NONE | Hello, I am trying to open some netcdf files which were generated by ROMS. However, I keep the getting the following error. Any help would be appreciated. I am able to open other netcdf files. The xarray version is 0.9.1 The header to the netcdf file is here- https://hackpad.com/header-O8RfdHcunnX The error I get is ValueErrorTraceback (most recent call last) <ipython-input-85-68c6385f3b97> in <module>() ----> 1 ds_flux = xr.open_mfdataset(os.path.join(ddir, 'PHY_FLUXES_FILES/*.nc')) 2 ds_flux 3 4 xr.version /home/dbalwada/.conda/envs/dhruvenv/lib/python2.7/site-packages/xarray/backends/api.pyc in open_mfdataset(paths, chunks, concat_dim, compat, preprocess, engine, lock, kwargs) 503 lock = _default_lock(paths[0], engine) 504 datasets = [open_dataset(p, engine=engine, chunks=chunks or {}, lock=lock, --> 505 kwargs) for p in paths] 506 file_objs = [ds._file_obj for ds in datasets] 507 /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. |
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completed | 13221727 | issue |