GroupBy aggregation of DataFrame with MultiIndex columns breaks with custom function · Issue #31777 · pandas-dev/pandas (original) (raw)

Code Sample, a copy-pastable example if possible

df = pd.DataFrame( np.random.rand(10, 4), columns=pd.MultiIndex.from_product([[1, 2], [3, 4]])) grp = df.groupby(np.r_[np.ones(5), np.zeros(5)]) grp.agg(lambda s: s.mean())

Problem description

The above call raises

ValueError: Length mismatch: Expected axis has 4 elements, new values have 2 elements

because

assumes that the original columns were only Index. Doing

works as expected (result with MultiIndex columns).

Expected Output

That of

Output of pd.show_versions()

commit : None
python : 3.7.6.final.0
python-bits : 64
OS : Windows
OS-release : 7
machine : AMD64
processor : Intel64 Family 6 Model 42 Stepping 7, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None

pandas : 1.0.0
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 20.0.2
setuptools : 45.1.0.post20200127
Cython : None
pytest : 5.3.4
hypothesis : None
sphinx : 2.3.1
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.10.3
IPython : 7.11.1
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : 3.1.2
numexpr : 2.7.0
odfpy : None
openpyxl : 3.0.3
pandas_gbq : None
pyarrow : None
pytables : None
pytest : 5.3.4
pyxlsb : None
s3fs : None
scipy : 1.3.2
sqlalchemy : 1.3.13
tables : 3.6.1
tabulate : None
xarray : None
xlrd : 1.2.0
xlwt : None
xlsxwriter : None
numba : None