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BUG: Period.strftime crashes for invalid format strings #53562
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Hi all, When I tried the reproducible example on main branch, I did not get an error for either of the following:
I did however get the same behavior as @JozsefKutas describes when I tried the reproducible example with my latest version of pandas so I think this is a valid Bug but I might open a separate Issue regarding the behavior on main that I got and I will update this comment when I do. |
Still crashes for me on main. cc @MarcoGorelli pandas/pandas/_libs/tslibs/period.pyx Lines 681 to 685 in c46fb76
I think |
thanks for the ping! i spent quite some time last year on the reverse operation (strptime), but haven't looked at this code yet |
Pandas version checks
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
Issue Description
Calling
Period.strftime
with an invalid format string crashes the Python session.Expected Behavior
Ideally, an exception would be raised instead. For example, with
Timestamp
:Installed Versions
INSTALLED VERSIONS
commit : 965ceca
python : 3.9.7.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19044
machine : AMD64
processor : Intel64 Family 6 Model 140 Stepping 1, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United Kingdom.1252
pandas : 2.0.2
numpy : 1.24.3
pytz : 2023.3
dateutil : 2.8.2
setuptools : 57.4.0
pip : 21.2.3
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None
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