issue_comments: 285398877
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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/1304#issuecomment-285398877 | https://api.github.com/repos/pydata/xarray/issues/1304 | 285398877 | MDEyOklzc3VlQ29tbWVudDI4NTM5ODg3Nw== | 10050469 | 2017-03-09T16:16:58Z | 2017-03-09T16:16:58Z | MEMBER | I also needed something like this but @shoyer decided against this change until there is a cleaner datastore API. A (very) dirty workaround it to subclass ``` class _NetCDF4DataStore(NetCDF4DataStore): """Just another way to init xarray's datastore.""" def init(self, filename, mode='r', format='NETCDF4', group=None, writer=None, clobber=True, diskless=False, persist=False, ds=None): import netCDF4 as nc4 if format is None: format = 'NETCDF4' if ds is None: ds = nc4.Dataset(filename, mode=mode, clobber=clobber, diskless=diskless, persist=persist, format=format) with close_on_error(ds): self.ds = _nc4_group(ds, group, mode) self.format = format self.is_remote = False self._filename = filename super(NetCDF4DataStore, self).init(writer) nc = netCDF4.Dataset(filename) ds = xr.open_dataset(_NetCDF4DataStore(filename, ds=nc)) ``` |
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