-
-
Notifications
You must be signed in to change notification settings - Fork 18.3k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
BUG: pd.TimeStamp
& pd.Timedelta
not always adhering to unit
parameter in pandas-2.0
#52286
Comments
pd.TimeStamp
not always adhering to unit
parameter in pandas-2.0
pd.TimeStamp
& pd.Timedelta
not always adhering to unit
parameter in pandas-2.0
The "unit" keyword describes how the input is interpreted, not how the result is stored internally (which the .unit attribute represents). The overlapping naming is unfortunate. |
I forgot if this was discussed, but is it possible if a user passes a numeric + unit to automatically also store the representation in that unit? |
For units that we support, yes. For minute and lower we'd default back to seconds. I'd be on board with this. |
Likewise, makes sense to me |
OK with putting this in 2.0? |
Yes definitely |
totally - marking as blocker then if that's OK? |
Implementing this I now remember why we didn't do it already: it introduces possibly-unwanted rounding in float cases. i.e |
Ah okay. Yeah I don't think specifying |
IMO I don't think this should be a strict blocker for 2.0 but a nice to fix/document |
sure, sounds good! separate issue but float inputs to |
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
When creating a
pd.Timestamp
&pd.Timedelta
with a specificunit
, the resultingTimestamp
seems to be always of unitns
. We are having to performas_unit('us')
to retrieve the desired result.Expected Behavior
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
The text was updated successfully, but these errors were encountered: