issues: 1384465119
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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 |
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1384465119 | I_kwDOAMm_X85ShULf | 7076 | Can't unstack concatenated DataArrays | 22566757 | open | 0 | 9 | 2022-09-24T00:50:09Z | 2023-02-21T17:11:35Z | CONTRIBUTOR | What happened?I had a collection of What did you expect to happen?I expected that concatenating the arrays then unstacking them would produce the same array as unstacking them then concatenating them, but with the possibility of saving the intermediate concatenated-but-still-stacked Minimal Complete Verifiable Example```Python import pandas as pd import xarray index = pd.MultiIndex.from_product([range(3), range(5)]) arr = xarray.DataArray.from_series(pd.Series(range(15), index=index)).stack(index0=["level_0", "level_1"]) arr.unstack("index0") arr2 = xarray.concat([arr, arr], dim="index2") arr2.unstack("index0") ``` MVCE confirmation
Relevant log output```Python <xarray.DataArray (level_0: 3, level_1: 5)> array([[ 0, 1, 2, 3, 4], [ 5, 6, 7, 8, 9], [10, 11, 12, 13, 14]]) Coordinates: * level_0 (level_0) int64 0 1 2 * level_1 (level_1) int64 0 1 2 3 4 Traceback (most recent call last): File "<stdin>", line 1, in <module> File "~/.conda/envs/plotting/lib/python3.10/site-packages/xarray/core/dataarray.py", line 2402, in unstack ds = self._to_temp_dataset().unstack(dim, fill_value, sparse) File "~/.conda/envs/plotting/lib/python3.10/site-packages/xarray/core/dataset.py", line 4618, in unstack raise ValueError( ValueError: cannot unstack dimensions that do not have exactly one multi-index: ('index0',) ``` Anything else we need to know?The eventual problem to which I wish to apply the solution has two stacked dimensions rather than one, but that's likely irrelevant. Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.10.6 | packaged by conda-forge | (main, Aug 22 2022, 20:35:26) [GCC 10.4.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1160.76.1.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.1
libnetcdf: 4.8.1
xarray: 2022.6.0
pandas: 1.4.2
numpy: 1.22.3
scipy: 1.8.0
netCDF4: 1.6.0
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.5.1.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: 3.2.1.post0
bottleneck: 1.3.5
dask: 2022.7.1
distributed: 2022.7.1
matplotlib: 3.5.1
cartopy: 0.20.3
seaborn: 0.12.0
numbagg: None
fsspec: 2022.5.0
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 61.3.1
pip: 22.0.4
conda: 4.14.0
pytest: 7.1.3
IPython: None
sphinx: None
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reopened | 13221727 | issue |