Dataframe Groupby with Quantile Can't handle q=tuple

[ahowe42]

In version 0.24.1, a groupby with quantile(q), where q is a tuple works. However, with 0.25, a TypeErr exception is thrown. This works as expected:

pd.DataFrame([[0,1,2,3],[0,4,5,6],[1,7,8,9],[1,10,11,12]],columns=['a','b','c','d']).quantile((0.01,0.99))

but this does not:

pd.DataFrame([[0,1,2,3],[0,4,5,6],[1,7,8,9],[1,10,11,12]],columns=['a','b','c','d']).groupby(by=['a']).b.quantile((0.01,0.99))

Output of pd.show_versions()

INSTALLED VERSIONS

commit : None
python : 3.7.3.final.0
python-bits : 64
OS : Windows
OS-release : 10
machine : AMD64
processor : Intel64 Family 6 Model 142 Stepping 10, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None

pandas : 0.25.0
numpy : 1.16.4
pytz : 2019.1
dateutil : 2.8.0
pip : 19.1.1
setuptools : 41.0.1
Cython : 0.29.12
pytest : 5.0.1
hypothesis : None
sphinx : 2.1.2
blosc : None
feather : None
xlsxwriter : 1.1.8
lxml.etree : 4.3.4
html5lib : 1.0.1
pymysql : None
psycopg2 : 2.7.6.1 (dt dec pq3 ext lo64)
jinja2 : 2.10.1
IPython : 7.7.0
pandas_datareader: None
bs4 : 4.7.1
bottleneck : 1.2.1
fastparquet : None
gcsfs : None
lxml.etree : 4.3.4
matplotlib : 3.1.0
numexpr : 2.6.9
odfpy : None
openpyxl : 2.6.2
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : 1.3.0
sqlalchemy : 1.3.5
tables : 3.5.2
xarray : None
xlrd : 1.2.0
xlwt : 1.3.0
xlsxwriter : 1.1.8

[WillAyd]

Can you try on master? I think this is a duplicate of something already fixed

[badge]

Fixed in 0.25.1

#27526

[TomAugspurger]

Thanks for checking.