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BUG: pd.TimeStamp & pd.Timedelta not always adhering to unit parameter in pandas-2.0 #52286

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@galipremsagar

Description

@galipremsagar

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  • 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

>>> x = 340.3333333333333
>>> pd.Timestamp(x, unit='us')
Timestamp('1970-01-01 00:00:00.000340333')
>>> pd.Timestamp(x, unit='us').unit
'ns'
>>> pd.Timestamp(x, unit='us').as_unit('us')
Timestamp('1970-01-01 00:00:00.000340')
>>> pd.Timestamp(x, unit='us').as_unit('us').unit
'us'

Issue Description

When creating a pd.Timestamp & pd.Timedelta with a specific unit, the resulting Timestamp seems to be always of unit ns. We are having to perform as_unit('us') to retrieve the desired result.

Expected Behavior

>>> pd.Timestamp(x, unit='us')
Timestamp('1970-01-01 00:00:00.000340')

Installed Versions

INSTALLED VERSIONS

commit : c2a7f1a
python : 3.10.10.final.0
python-bits : 64
OS : Linux
OS-release : 4.15.0-76-generic
Version : #86-Ubuntu SMP Fri Jan 17 17:24:28 UTC 2020
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 2.0.0rc1
numpy : 1.23.5
pytz : 2023.2
dateutil : 2.8.2
setuptools : 67.6.0
pip : 23.0.1
Cython : 0.29.33
pytest : 7.2.2
hypothesis : 6.70.1
sphinx : 5.3.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.11.0
pandas_datareader: None
bs4 : 4.12.0
bottleneck : None
brotli :
fastparquet : None
fsspec : 2023.3.0
gcsfs : None
matplotlib : None
numba : 0.56.4
numexpr : None
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 11.0.0
pyreadstat : None
pyxlsb : None
s3fs : 2023.3.0
scipy : 1.10.1
snappy :
sqlalchemy : 1.4.46
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
zstandard : None
tzdata : None
qtpy : None
pyqt5 : None

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    BugDocsNon-Nanodatetime64/timedelta64 with non-nanosecond resolutionTimedeltaTimedelta data typeTimestamppd.Timestamp and associated methods

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