ValueError: not enough values to unpack (expected 3, got 0)

[yangt235]

Hello, may I ask if this problem is because of my incorrect selection of operation?
selected points：
error：
ValueError Traceback (most recent call last)
Cell In [5], line 207, in downloader(whatever)
200 # Load datacube according to prerequisites (time, space and variables)
201 start = time.time()
202 xrds = xr.open_dataset(url,
203 engine='zarr',
204 drop_variables=variables_drop
205 ).sel(mid_date=t_mask,
206 x=slice(velocity_widget.xmin_proj, velocity_widget.xmax_proj),
--> 207 y=slice(velocity_widget.ymax_proj, velocity_widget.ymin_proj)).load()
209 print(f"downloaded {cubes[n].split('/')[-1].split('.')[0]} spatial slice {time.time()-start:8.1f} seconds")
210 xrds.to_netcdf(f"{pathsave}{cubes[n].split('/')[-1].split('.')[0]}{sdate}{edate}.nc")

File ~\anaconda3\envs\Glaciervel\lib\site-packages\xarray\core\dataset.py:746, in Dataset.load(self, **kwargs)
744 for k, v in self.variables.items():
745 if k not in lazy_data:
--> 746 v.load()
748 return self

File ~\anaconda3\envs\Glaciervel\lib\site-packages\xarray\core\variable.py:542, in Variable.load(self, **kwargs)
540 self._data = as_compatible_data(self._data.compute(**kwargs))
541 elif not is_duck_array(self._data):
--> 542 self._data = np.asarray(self._data)
543 return self

File ~\anaconda3\envs\Glaciervel\lib\site-packages\xarray\core\indexing.py:653, in MemoryCachedArray.array(self, dtype)
652 def array(self, dtype=None):
--> 653 self._ensure_cached()
654 return np.asarray(self.array, dtype=dtype)

File ~\anaconda3\envs\Glaciervel\lib\site-packages\xarray\core\indexing.py:650, in MemoryCachedArray._ensure_cached(self)
648 def _ensure_cached(self):
649 if not isinstance(self.array, NumpyIndexingAdapter):
--> 650 self.array = NumpyIndexingAdapter(np.asarray(self.array))

File ~\anaconda3\envs\Glaciervel\lib\site-packages\xarray\core\indexing.py:623, in CopyOnWriteArray.array(self, dtype)
622 def array(self, dtype=None):
--> 623 return np.asarray(self.array, dtype=dtype)

File ~\anaconda3\envs\Glaciervel\lib\site-packages\xarray\core\indexing.py:524, in LazilyIndexedArray.array(self, dtype)
522 def array(self, dtype=None):
523 array = as_indexable(self.array)
--> 524 return np.asarray(array[self.key], dtype=None)

File ~\anaconda3\envs\Glaciervel\lib\site-packages\xarray\coding\variables.py:72, in _ElementwiseFunctionArray.array(self, dtype)
71 def array(self, dtype=None):
---> 72 return self.func(self.array)

File ~\anaconda3\envs\Glaciervel\lib\site-packages\xarray\coding\variables.py:139, in _apply_mask(data, encoded_fill_values, decoded_fill_value, dtype)
135 def _apply_mask(
136 data: np.ndarray, encoded_fill_values: list, decoded_fill_value: Any, dtype: Any
137 ) -> np.ndarray:
138 """Mask all matching values in a NumPy arrays."""
--> 139 data = np.asarray(data, dtype=dtype)
140 condition = False
141 for fv in encoded_fill_values:

File ~\anaconda3\envs\Glaciervel\lib\site-packages\xarray\core\indexing.py:524, in LazilyIndexedArray.array(self, dtype)
522 def array(self, dtype=None):
523 array = as_indexable(self.array)
--> 524 return np.asarray(array[self.key], dtype=None)

File ~\anaconda3\envs\Glaciervel\lib\site-packages\xarray\backends\zarr.py:75, in ZarrArrayWrapper.getitem(self, key)
73 else:
74 assert isinstance(key, indexing.OuterIndexer)
---> 75 return array.oindex[key.tuple]

File ~\anaconda3\envs\Glaciervel\lib\site-packages\zarr\indexing.py:669, in OIndex.getitem(self, selection)
667 selection = ensure_tuple(selection)
668 selection = replace_lists(selection)
--> 669 return self.array.get_orthogonal_selection(selection, fields=fields)

File ~\anaconda3\envs\Glaciervel\lib\site-packages\zarr\core.py:1087, in Array.get_orthogonal_selection(self, selection, out, fields)
1084 # setup indexer
1085 indexer = OrthogonalIndexer(selection, self)
-> 1087 return self._get_selection(indexer=indexer, out=out, fields=fields)

File ~\anaconda3\envs\Glaciervel\lib\site-packages\zarr\core.py:1271, in Array._get_selection(self, indexer, out, fields)
1267 self._chunk_getitem(chunk_coords, chunk_selection, out, out_selection,
1268 drop_axes=indexer.drop_axes, fields=fields)
1269 else:
1270 # allow storage to get multiple items at once
-> 1271 lchunk_coords, lchunk_selection, lout_selection = zip(*indexer)
1272 self._chunk_getitems(lchunk_coords, lchunk_selection, out, lout_selection,
1273 drop_axes=indexer.drop_axes, fields=fields)
1275 if out.shape:

ValueError: not enough values to unpack (expected 3, got 0)

[vdevauxchupin]

Hi @yangt235 ! Could you print the extents of your selection ? You can do that by running:
print(velocity_widget.ymax_proj, velocity_widget.ymin_proj, velocity_widget.xmax_proj, velocity_widget.xmin_proj)

It looks like it is somehow having trouble slicing the y-axis of the datacube.

Your selection looks good from here, you did put individual points covering all the red tiles so it should grab 3 different datacubes from the online AWS server.