id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type 1355770800,I_kwDOAMm_X85Qz2uw,6969,"Regression on DataArray.unstack on v2022.06.0 : ""ValueError: IndexVariable objects must be 1-dimensional""",112489422,closed,0,4160723,,1,2022-08-30T13:25:16Z,2022-09-27T10:35:40Z,2022-09-27T10:35:40Z,NONE,,,,"### What happened? **Please see code below** With **xarray:2022.06.0**, DataArray.unstack raise an ValueError exception ```python-traceback --------------------------------------------------------------------------- ValueError Traceback (most recent call last) Input In [2], in () 21 y = y.assign_coords(day=y.j + y.last_j) 22 y = y.set_index(multi=['sub_id', 'last_j']) ---> 24 y = y.unstack() File /opt/conda/lib/python3.9/site-packages/xarray/core/dataarray.py:2402, in DataArray.unstack(self, dim, fill_value, sparse) 2342 def unstack( 2343 self, 2344 dim: Hashable | Sequence[Hashable] | None = None, 2345 fill_value: Any = dtypes.NA, 2346 sparse: bool = False, 2347 ) -> DataArray: 2348 """""" 2349 Unstack existing dimensions corresponding to MultiIndexes into 2350 multiple new dimensions. (...) 2400 DataArray.stack 2401 """""" -> 2402 ds = self._to_temp_dataset().unstack(dim, fill_value, sparse) 2403 return self._from_temp_dataset(ds) File /opt/conda/lib/python3.9/site-packages/xarray/core/dataset.py:4656, in Dataset.unstack(self, dim, fill_value, sparse) 4652 result = result._unstack_full_reindex( 4653 dim, stacked_indexes[dim], fill_value, sparse 4654 ) 4655 else: -> 4656 result = result._unstack_once( 4657 dim, stacked_indexes[dim], fill_value, sparse 4658 ) 4659 return result File /opt/conda/lib/python3.9/site-packages/xarray/core/dataset.py:4492, in Dataset._unstack_once(self, dim, index_and_vars, fill_value, sparse) 4489 else: 4490 fill_value_ = fill_value -> 4492 variables[name] = var._unstack_once( 4493 index=clean_index, 4494 dim=dim, 4495 fill_value=fill_value_, 4496 sparse=sparse, 4497 ) 4498 else: 4499 variables[name] = var File /opt/conda/lib/python3.9/site-packages/xarray/core/variable.py:1732, in Variable._unstack_once(self, index, dim, fill_value, sparse) 1727 # Indexer is a list of lists of locations. Each list is the locations 1728 # on the new dimension. This is robust to the data being sparse; in that 1729 # case the destinations will be NaN / zero. 1730 data[(..., *indexer)] = reordered -> 1732 return self._replace(dims=new_dims, data=data) File /opt/conda/lib/python3.9/site-packages/xarray/core/variable.py:985, in Variable._replace(self, dims, data, attrs, encoding) 983 if encoding is _default: 984 encoding = copy.copy(self._encoding) --> 985 return type(self)(dims, data, attrs, encoding, fastpath=True) File /opt/conda/lib/python3.9/site-packages/xarray/core/variable.py:2720, in IndexVariable.__init__(self, dims, data, attrs, encoding, fastpath) 2718 super().__init__(dims, data, attrs, encoding, fastpath) 2719 if self.ndim != 1: -> 2720 raise ValueError(f""{type(self).__name__} objects must be 1-dimensional"") 2722 # Unlike in Variable, always eagerly load values into memory 2723 if not isinstance(self._data, PandasIndexingAdapter): ValueError: IndexVariable objects must be 1-dimensional ``` ### What did you expect to happen? **Please see code below** With **xarray:2022.03.0**, code runs well ### Minimal Complete Verifiable Example ```Python import xarray as xr import numpy as np x = np.concatenate((np.repeat(np.nan,4), np.repeat(1,2))).reshape(3, 2).transpose() x = xr.DataArray( x, coords = { 'composite_id': ['s00', 's10'], 'sub_id': ('composite_id', ['0', '1']), 'last_j': ('composite_id', [100, 111]), 'j': [-2,-1,0] }, dims= ['composite_id', 'j'] ) y = x y = y.stack({'multi': ['composite_id', 'j']}) y = y.dropna('multi') y = y.assign_coords(day=y.j + y.last_j) y = y.set_index(multi=['sub_id', 'last_j']) y = y.unstack() ``` ### MVCE confirmation - [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray. - [X] Complete example — the example is self-contained, including all data and the text of any traceback. - [X] Verifiable example — the example copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result. - [x] New issue — a search of GitHub Issues suggests this is not a duplicate. ### Relevant log output _No response_ ### Anything else we need to know? _No response_ ### Environment **Not working environment with xarray 2022.06.0**
INSTALLED VERSIONS ------------------ commit: None python: 3.9.12 | packaged by conda-forge | (main, Mar 24 2022, 23:51:20) [GCC 10.3.0] python-bits: 64 OS: Linux OS-release: 5.10.104-linuxkit machine: aarch64 processor: aarch64 byteorder: little LC_ALL: en_US.UTF-8 LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: None libnetcdf: None xarray: 2022.6.0 pandas: 1.4.3 numpy: 1.23.2 scipy: None netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: None cartopy: None seaborn: None numbagg: None fsspec: None cupy: None pint: None sparse: None flox: None numpy_groupies: None setuptools: 62.1.0 pip: 22.0.4 conda: 4.12.0 pytest: None IPython: 8.3.0 sphinx: None /opt/conda/lib/python3.9/site-packages/_distutils_hack/__init__.py:30: UserWarning: Setuptools is replacing distutils. warnings.warn(""Setuptools is replacing distutils."")
**Working environment with xarray 2022.03.0**
INSTALLED VERSIONS ------------------ commit: None python: 3.9.12 | packaged by conda-forge | (main, Mar 24 2022, 23:51:20) [GCC 10.3.0] python-bits: 64 OS: Linux OS-release: 5.10.104-linuxkit machine: aarch64 processor: aarch64 byteorder: little LC_ALL: en_US.UTF-8 LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: None libnetcdf: None xarray: 2022.3.0 pandas: 1.4.3 numpy: 1.23.2 scipy: None netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: None cartopy: None seaborn: None numbagg: None fsspec: None cupy: None pint: None sparse: None setuptools: 62.1.0 pip: 22.0.4 conda: 4.12.0 pytest: None IPython: 8.3.0 sphinx: None /opt/conda/lib/python3.9/site-packages/_distutils_hack/__init__.py:30: UserWarning: Setuptools is replacing distutils. warnings.warn(""Setuptools is replacing distutils."")
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