issues: 105649801
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| 105649801 | MDU6SXNzdWUxMDU2NDk4MDE= | 565 | Better error message for tutorial dataset not found | 5356122 | closed | 0 | 1 | 2015-09-09T17:55:26Z | 2019-01-15T21:20:53Z | 2019-01-15T21:20:53Z | MEMBER | Here's what happens when you try to load a dataset that doesn't exist: ``` In [13]: a = xray.tutorial.load_dataset('air_temperatures') RuntimeError Traceback (most recent call last) <ipython-input-13-c6a14087d2f5> in <module>() ----> 1 a = xray.tutorial.load_dataset('air_temperatures') /Users/clark.fitzgerald/dev/xray/xray/tutorial.pyc in load_dataset(name, cache, cache_dir, github_url, kws) 53 _urlretrieve(url, localfile) 54 ---> 55 ds = _open_dataset(localfile, kws).load() 56 57 if not cache: /Users/clark.fitzgerald/dev/xray/xray/backends/api.pyc in open_dataset(filename_or_obj, group, decode_cf, mask_and_scale, decode_times, concat_characters, decode_coords, engine, chunks, lock, drop_variables) 169 allow_remote=True) 170 if engine == 'netcdf4': --> 171 store = backends.NetCDF4DataStore(filename_or_obj, group=group) 172 elif engine == 'scipy': 173 store = backends.ScipyDataStore(filename_or_obj) /Users/clark.fitzgerald/dev/xray/xray/backends/netCDF4_.pyc in init(self, filename, mode, format, group, writer, clobber, diskless, persist) 133 ds = nc4.Dataset(filename, mode=mode, clobber=clobber, 134 diskless=diskless, persist=persist, --> 135 format=format) 136 with close_on_error(ds): 137 self.ds = _nc4_group(ds, group, mode) netCDF4/_netCDF4.pyx in netCDF4._netCDF4.Dataset.init (netCDF4/_netCDF4.c:9551)() RuntimeError: NetCDF: Unknown file format In [14]: a = xray.tutorial.load_dataset('air_temperature') In [15]: ``` This could leave a bad first impression for someone trying the library. Better to see something like:
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completed | 13221727 | issue |