BUG: Using Series.diff() on a Series with Periods on Windows shows an overflow error #58320
Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
>>> import pandas as pd
>>> pd.Series(
... [pd.Period("2012-1-1", freq="D"), pd.Period("2012-1-2", freq="D")]
... ).diff()
C:\Anaconda3\envs\pandasstubs\lib\site-packages\pandas\core\arrays\datetimelike.py:1306: RuntimeWarning: overflow encountered in scalar multiply
new_data = np.array([self.freq.base * x for x in new_i8_data])
0 NaT
1 <Day>
dtype: objectIssue Description
This error only appears on Windows, not on Linux!
Discovered in a pandas-stubs pull request: https://github.com/pandas-dev/pandas-stubs/pull/907/files#r1571049325
Expected Behavior
No error message
Installed Versions
INSTALLED VERSIONS
commit : d9cdd2e
python : 3.9.16.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19045
machine : AMD64
processor : Intel64 Family 6 Model 158 Stepping 13, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252
pandas : 2.2.2
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.9.0.post0
setuptools : 68.2.2
pip : 22.3.1
Cython : None
pytest : 8.1.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.2.0
lxml.etree : 5.2.1
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.1.3
IPython : None
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.8.3
numba : None
numexpr : 2.10.0
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 15.0.2
pyreadstat : 1.2.7
python-calamine : None
pyxlsb : 1.0.10
s3fs : None
scipy : 1.13.0
sqlalchemy : 2.0.29
tables : 3.9.1
tabulate : 0.9.0
xarray : 2024.3.0
xlrd : 2.0.1
zstandard : 0.22.0
tzdata : 2024.1
qtpy : None
pyqt5 : None