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Reproducible Example

import pandas as pd


df = pd.DataFrame([{'A': 1, 'B': 2, 'C': 3}]).set_index(["A", "B"])


def numba_func(values, index):
    return 1


res = df.groupby('A').transform(
    numba_func, engine="numba"
)

Issue Description

Traceback (most recent call last):
File "/home/ninja/workspace/lumen_psf/python/psf/script/dev_tst.py", line 11, in
res = df.groupby('A').transform(
File "/home/ninja/miniconda3/envs/py39pandas13/lib/python3.9/site-packages/pandas/core/groupby/generic.py", line 1357, in transform
return self._transform(
File "/home/ninja/miniconda3/envs/py39pandas13/lib/python3.9/site-packages/pandas/core/groupby/groupby.py", line 1430, in _transform
result = self._transform_with_numba(
File "/home/ninja/miniconda3/envs/py39pandas13/lib/python3.9/site-packages/pandas/core/groupby/groupby.py", line 1187, in _transform_with_numba
result = numba_transform_func(
File "/home/ninja/miniconda3/envs/py39pandas13/lib/python3.9/site-packages/numba/core/dispatcher.py", line 468, in compile_for_args
error_rewrite(e, 'typing')
File "/home/ninja/miniconda3/envs/py39pandas13/lib/python3.9/site-packages/numba/core/dispatcher.py", line 409, in error_rewrite
raise e.with_traceback(None)
numba.core.errors.TypingError: Failed in nopython mode pipeline (step: nopython frontend)
non-precise type array(pyobject, 1d, C)
During: typing of argument at /home/ninja/miniconda3/envs/py39pandas13/lib/python3.9/site-packages/pandas/core/groupby/numba.py (167)

File "../../../../../miniconda3/envs/py39pandas13/lib/python3.9/site-packages/pandas/core/groupby/numba_.py", line 167:
def group_transform(

) -> np.ndarray:
result = np.empty((len(values), num_columns))
^

Expected Behavior

Up to pandas version 1.2 this worked like a charm. Apparently the redesign of the grouping did not respect to multi-index cases when using calculation engine numba.

Installed Versions