issues

What is your issue?

Hi, I am trying to use isel method from xarray to subset netCDF file using boundary coordinates. But, I am getting the following error: python NotImplementedError: Don't yet support nd fancy indexing Could you please help me with how to solve this issue?

Detail information on error:

```python

NotImplementedError Traceback (most recent call last) Input In [21], in <cell line: 1>() ----> 1 ds_sel = ds2011_2014.isel(lon=(ds2011_2014.lon >= left) & (ds2011_2014.lon <= right), 2 lat=(ds2011_2014.lat >= bottom) & (ds2011_2014.lat <= top), 3 ) 5 ds_sel_avg = ds_sel.mean(dim=['lat','lon'])

File ~/miniforge3/lib/python3.9/site-packages/xarray/core/dataset.py:2352, in Dataset.isel(self, indexers, drop, missing_dims, **indexers_kwargs) 2350 indexers = either_dict_or_kwargs(indexers, indexers_kwargs, "isel") 2351 if any(is_fancy_indexer(idx) for idx in indexers.values()): -> 2352 return self._isel_fancy(indexers, drop=drop, missing_dims=missing_dims) 2354 # Much faster algorithm for when all indexers are ints, slices, one-dimensional 2355 # lists, or zero or one-dimensional np.ndarray's 2356 indexers = drop_dims_from_indexers(indexers, self.dims, missing_dims)

File ~/miniforge3/lib/python3.9/site-packages/xarray/core/dataset.py:2416, in Dataset._isel_fancy(self, indexers, drop, missing_dims) 2414 indexes[name] = new_index 2415 elif var_indexers: -> 2416 new_var = var.isel(indexers=var_indexers) 2417 else: 2418 new_var = var.copy(deep=False)

File ~/miniforge3/lib/python3.9/site-packages/xarray/core/variable.py:1186, in Variable.isel(self, indexers, missing_dims, **indexers_kwargs) 1183 indexers = drop_dims_from_indexers(indexers, self.dims, missing_dims) 1185 key = tuple(indexers.get(dim, slice(None)) for dim in self.dims) -> 1186 return self[key]

File ~/miniforge3/lib/python3.9/site-packages/xarray/core/variable.py:779, in Variable.getitem(self, key) 766 """Return a new Variable object whose contents are consistent with 767 getting the provided key from the underlying data. 768 (...) 776 array x.values directly. 777 """ 778 dims, indexer, new_order = self._broadcast_indexes(key) --> 779 data = as_indexable(self._data)[indexer] 780 if new_order: 781 data = np.moveaxis(data, range(len(new_order)), new_order)

File ~/miniforge3/lib/python3.9/site-packages/xarray/core/indexing.py:1161, in NumpyIndexingAdapter.getitem(self, key) 1159 def getitem(self, key): 1160 array, key = self._indexing_array_and_key(key) -> 1161 return array[key]

File ~/miniforge3/lib/python3.9/site-packages/dask/array/core.py:1904, in Array.getitem(self, index) 1901 return self 1903 out = "getitem-" + tokenize(self, index2) -> 1904 dsk, chunks = slice_array(out, self.name, self.chunks, index2, self.itemsize) 1906 graph = HighLevelGraph.from_collections(out, dsk, dependencies=[self]) 1908 meta = meta_from_array(self._meta, ndim=len(chunks))

File ~/miniforge3/lib/python3.9/site-packages/dask/array/slicing.py:174, in slice_array(out_name, in_name, blockdims, index, itemsize) 171 index += (slice(None, None, None),) * missing 173 # Pass down to next function --> 174 dsk_out, bd_out = slice_with_newaxes(out_name, in_name, blockdims, index, itemsize) 176 bd_out = tuple(map(tuple, bd_out)) 177 return dsk_out, bd_out

File ~/miniforge3/lib/python3.9/site-packages/dask/array/slicing.py:196, in slice_with_newaxes(out_name, in_name, blockdims, index, itemsize) 193 where_none[i] -= n 195 # Pass down and do work --> 196 dsk, blockdims2 = slice_wrap_lists(out_name, in_name, blockdims, index2, itemsize) 198 if where_none: 199 expand = expander(where_none)

File ~/miniforge3/lib/python3.9/site-packages/dask/array/slicing.py:242, in slice_wrap_lists(out_name, in_name, blockdims, index, itemsize) 238 where_list = [ 239 i for i, ind in enumerate(index) if is_arraylike(ind) and ind.ndim > 0 240 ] 241 if len(where_list) > 1: --> 242 raise NotImplementedError("Don't yet support nd fancy indexing") 243 # Is the single list an empty list? In this case just treat it as a zero 244 # length slice 245 if where_list and not index[where_list[0]].size:

NotImplementedError: Don't yet support nd fancy indexing ```