issue_comments: 522986699
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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/2511#issuecomment-522986699 | https://api.github.com/repos/pydata/xarray/issues/2511 | 522986699 | MDEyOklzc3VlQ29tbWVudDUyMjk4NjY5OQ== | 13190237 | 2019-08-20T12:15:18Z | 2019-08-20T18:52:49Z | CONTRIBUTOR | Even though the example from above does work, sadly, the following does not:
TypeError Traceback (most recent call last) <ipython-input-4-3542cdd6d61c> in <module> ----> 1 da[dict(dim_2=idcs)] ~/src/xarray/xarray/core/dataarray.py in getitem(self, key) 604 else: 605 # xarray-style array indexing --> 606 return self.isel(indexers=self._item_key_to_dict(key)) 607 608 def setitem(self, key: Any, value: Any) -> None: ~/src/xarray/xarray/core/dataarray.py in isel(self, indexers, drop, **indexers_kwargs) 986 """ 987 indexers = either_dict_or_kwargs(indexers, indexers_kwargs, "isel") --> 988 ds = self._to_temp_dataset().isel(drop=drop, indexers=indexers) 989 return self._from_temp_dataset(ds) 990 ~/src/xarray/xarray/core/dataset.py in isel(self, indexers, drop, **indexers_kwargs) 1901 indexes[name] = new_index 1902 else: -> 1903 new_var = var.isel(indexers=var_indexers) 1904 1905 variables[name] = new_var ~/src/xarray/xarray/core/variable.py in isel(self, indexers, drop, **indexers_kwargs) 984 if dim in indexers: 985 key[i] = indexers[dim] --> 986 return self[tuple(key)] 987 988 def squeeze(self, dim=None): ~/src/xarray/xarray/core/variable.py in getitem(self, key)
675 array ~/src/xarray/xarray/core/variable.py in _broadcast_indexes(self, key) 532 if isinstance(k, Variable): 533 if len(k.dims) > 1: --> 534 return self._broadcast_indexes_vectorized(key) 535 dims.append(k.dims[0]) 536 elif not isinstance(k, integer_types): ~/src/xarray/xarray/core/variable.py in _broadcast_indexes_vectorized(self, key) 660 new_order = None 661 --> 662 return out_dims, VectorizedIndexer(tuple(out_key)), new_order 663 664 def getitem(self, key): ~/src/xarray/xarray/core/indexing.py in init(self, key) 460 raise TypeError( 461 "unexpected indexer type for {}: {!r}".format( --> 462 type(self).name, k 463 ) 464 ) TypeError: unexpected indexer type for VectorizedIndexer: dask.array<arg_agg-aggregate, shape=(3, 4), dtype=int64, chunksize=(1, 4)> ``` |
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