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Showing content from https://github.com/pandas-dev/pandas/issues/47832 below:

Out of bound dates can be saved to feather but not loaded · Issue #47832 · pandas-dev/pandas · GitHub

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

import pandas as pd
from datetime import datetime
df = pd.DataFrame({"date": [
    datetime.fromisoformat("1654-01-01"),
    datetime.fromisoformat("1920-01-01"),
],})
df.to_feather("to_trash.feather")
pd.read_feather("to_trash.feather")

Issue Description

Does not return the original dataframe but raise an issue instead.

ArrowInvalid: Casting from timestamp[us] to timestamp[ns] would result in out of bounds timestamp: -9971942400000000

Expected Behavior

return the original dataframe df.

Installed Versions INSTALLED VERSIONS ------------------ commit : e8093ba python : 3.9.13.final.0 python-bits : 64 OS : Linux OS-release : 5.8.0-7630-generic Version : #32~1609193707~20.10~781bb80-Ubuntu SMP Tue Jan 5 21:29:56 UTC 2 machine : x86_64 processor : byteorder : little LC_ALL : None LANG : C.UTF-8 LOCALE : en_US.UTF-8

pandas : 1.4.3
numpy : 1.23.1
pytz : 2022.1
dateutil : 2.8.2
setuptools : 58.1.0
pip : 22.0.4
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 : 8.4.0
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 8.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None

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