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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1318992926 | I_kwDOAMm_X85Onjwe | 6836 | groupby(multi-index level) not working correctly on a multi-indexed DataArray or DataSet | emmaai 5643062 | closed | 0 | benbovy 4160723 | 9 | 2022-07-27T04:06:59Z | 2023-06-06T00:21:32Z | 2023-06-06T00:21:32Z | NONE | What happened?run the code block below with mda = xr.DataArray(np.random.rand(6, 3), [("x", midx), ("y", range(3))]) mda.groupby("one").groups
What did you expect to happen?as it was with Minimal Complete Verifiable Example```Python import pandas as pd import numpy as np import xarray as XR midx = pd.MultiIndex.from_product([list("abc"), [0, 1]], names=("one", "two")) mda = xr.DataArray(np.random.rand(6, 3), [("x", midx), ("y", range(3))]) mda.groupby("one").groups ``` MVCE confirmation
Relevant log output
Anything else we need to know?N/A Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.8.10 (default, Mar 15 2022, 12:22:08)
[GCC 9.4.0]
python-bits: 64
OS: Linux
OS-release: 5.11.0-1025-aws
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: C.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.0
libnetcdf: 4.7.4
xarray: 2022.6.0
pandas: 1.4.3
numpy: 1.22.4
scipy: 1.7.3
netCDF4: 1.5.8
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.5.1.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.2.10
cfgrib: None
iris: None
bottleneck: 1.3.2
dask: 2022.04.1
distributed: 2022.4.1
matplotlib: 3.5.1
cartopy: 0.20.3
seaborn: 0.11.2
numbagg: None
fsspec: 2022.01.0
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 45.2.0
pip: 22.2
conda: None
pytest: 7.1.2
IPython: 7.31.0
sphinx: None
|
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completed | xarray 13221727 | issue |
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