issue_comments: 1254926860
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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| https://github.com/pydata/xarray/issues/6836#issuecomment-1254926860 | https://api.github.com/repos/pydata/xarray/issues/6836 | 1254926860 | IC_kwDOAMm_X85KzKoM | 19226431 | 2022-09-22T12:03:52Z | 2022-09-22T12:03:52Z | CONTRIBUTOR | After trying to dig down further into the code, I saw that grouping over levels seems to be broken generally (up-to-date main branch at time of writing), i.e. ```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").sum() ``` raises: ```python File ".../xarray/xarray/core/_reductions.py", line 5055, in sum return self.reduce( File ".../xarray/xarray/core/groupby.py", line 1191, in reduce return self.map(reduce_array, shortcut=shortcut) File ".../xarray/xarray/core/groupby.py", line 1095, in map return self._combine(applied, shortcut=shortcut) File ".../xarray/xarray/core/groupby.py", line 1127, in _combine index, index_vars = create_default_index_implicit(coord) File ".../xarray/xarray/core/indexes.py", line 974, in create_default_index_implicit index = PandasMultiIndex(array, name) File ".../xarray/xarray/core/indexes.py", line 552, in init raise ValueError( ValueError: conflicting multi-index level name 'one' with dimension 'one'
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