read_excel parsing dates later than 2262-04-11 pandas.to_datetime cannot convert input with unit 'D'

[petrdanecek]

Pandas version checks

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Reproducible Example

works fine:
pandas.to_datetime(132320, unit='D', origin='1899-12-30')
>> Timestamp('2262-04-11 00:00:00')

results in exception:
pandas.to_datetime(132322, unit='D', origin='1899-12-30')
>> *** pandas._libs.tslibs.np_datetime.OutOfBoundsDatetime: cannot convert input with unit 'D'

Issue Description

not able to process the xlsb with dates later than 2262-04-11

Expected Behavior

pandas.to_datetime(132322, unit='D', origin='1899-12-30')

should return valid date

Installed Versions

pd.show_versions()
*** NameError: name 'pd' is not defined
(Pdb) pandas.show_versions()

INSTALLED VERSIONS

commit : e8093ba
python : 3.10.2.final.0
python-bits : 64
OS : Linux
OS-release : 4.18.0-394.el8.x86_64
Version : #1 SMP Tue May 31 16:19:11 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 1.4.3
numpy : 1.22.4
pytz : 2022.1
dateutil : 2.8.2
setuptools : 62.6.0
pip : 22.2.2
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.6.5
html5lib : None
pymysql : None
psycopg2 : 2.9.3
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : 1.0.9
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None

[phofl]

Hi, thanks for your report. This is a problem with the underlying representation of date times (ns). See https://numpy.org/doc/stable/reference/arrays.datetime.html#datetime-units

This is the maximum that can be represented.

[mroeschke]

This is further noted in https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#timestamp-limitations

Additionally, this should hopefully change with non-nano support in the works: #46587. Closing as it overlaps with the above issue