Description
Code Sample
import pandas as pd
print(pd.__version__)
idx = pd.date_range('2017-12-08', periods=6, freq='10D')
df = pd.DataFrame(np.arange(6), index=idx)
df.index.name = 'name'
df.groupby(lambda x: (x.year, x.month)).mean()
Problem description
In 0.21.0 (and 0.20.x), calling groupy
with a function that returns a tuple on a DataFrame with a named index fails with ValueError: Names should be list-like for a MultiIndex
. It seems to be caused by the index having a name.
The sample works in 0.19.0, with the output below. The same code without df.index.name = 'name'
works under 0.20 and 0.21.
Expected Output
0
(2017, 12) 1
(2018, 1) 4
Output of pd.show_versions()
pandas: 0.21.0
pytest: None
pip: 9.0.1
setuptools: 38.2.4
Cython: 0.27.3
numpy: 1.13.3
scipy: None
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: None
patsy: None
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 2.1.0
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None