-
-
Notifications
You must be signed in to change notification settings - Fork 18k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
BUG: maximum of pd.Series([np.nan],dtype=ordered_category) raise #33450
Comments
Thanks, looks like the bug is on master as well |
Adding this to the 1.0.4 milestone, as this is a candidate for backporting in case we start doing that |
let’s not add to the 1.04 there are a number of candidates but it’s going to take dedicated work to patch that branch |
just add the regression tags |
Milestone is IMO much easier to keep track with. When we decide to not do a 1.0.4 release, we can simply move those to 1.1 |
that boat has sailed and it’s plain confusing milestone reflects what it is merged into not what you want |
regression in #27929 (i.e. 1.0.0) 37526c1 is the first bad commit
|
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
(optional) I have confirmed this bug exists on the master branch of pandas.
Code Sample, a copy-pastable example
In the older version, the same code didn't raise an error.
Problem description
Because of this behavior, I failed to df.groupby().max() for ordered categories.
Expected Output
Expected output should be np.nan
Output of
pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.4.final.0
python-bits : 64
OS : Darwin
OS-release : 18.7.0
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : en_US.UTF-8
pandas : 1.0.3
numpy : 1.17.3
pytz : 2019.3
dateutil : 2.8.0
pip : 20.0.2
setuptools : 40.8.0
Cython : None
pytest : 5.2.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 1.2.2
lxml.etree : 4.4.2
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.10.3
IPython : 7.8.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : 4.4.2
matplotlib : 3.1.1
numexpr : None
odfpy : None
openpyxl : 3.0.0
pandas_gbq : None
pyarrow : 0.15.0
pytables : None
pytest : 5.2.1
pyxlsb : None
s3fs : 0.2.2
scipy : 1.3.1
sqlalchemy : None
tables : None
tabulate : 0.8.5
xarray : None
xlrd : 1.2.0
xlwt : None
xlsxwriter : 1.2.2
numba : None
The text was updated successfully, but these errors were encountered: