Pandas version checks
-
[X] I have checked that this issue has not already been reported.
-
[X] I have confirmed this bug exists on the latest version of pandas.
-
[X] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
timestamp = pd.Series(["2022-01-01 00:00:01"], dtype="datetime64[ns]").astype("datetime64[D]").item()
print(timestamp)
print(pd.__version__)
Issue Description
For the longest time I've been using astype(...) to round datetimes to nearest unit. This is no longer possible.
Expected Behavior
Expected behavior on 1.4.4: 2022-01-01 00:00:00
Actual behavior on 1.5.2: 2022-01-01 00:00:01
Installed Versions
commit : 8dab54d6573f7186ff0c3b6364d5e4dd635ff3e7
python : 3.10.5.final.0
python-bits : 64
OS : Darwin
OS-release : 22.1.0
Version : Darwin Kernel Version 22.1.0: Sun Oct 9 20:15:09 PDT 2022; root:xnu-8792.41.9~2/RELEASE_ARM64_T6000
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.UTF-8
pandas : 1.5.2
numpy : 1.23.5
pytz : 2022.6
dateutil : 2.8.2
setuptools : 65.5.1
pip : 22.3.1
Cython : None
pytest : 7.2.0
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.0.3
lxml.etree : 4.9.1
html5lib : None
pymysql : 1.0.2
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.7.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : 1.3.5
brotli :
fastparquet : None
fsspec : 2022.11.0
gcsfs : None
matplotlib : 3.6.2
numba : 0.56.4
numexpr : None
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : 10.0.1
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.9.3
snappy : None
sqlalchemy : 1.4.44
tables : None
tabulate : None
xarray : 2022.12.0
xlrd : 2.0.1
xlwt : None
zstandard : None
tzdata : 2022.7
Comment From: MarcoGorelli
Thanks for your report
You should use .round('D') for this
Note that what you've been doing will raise in version 2.0.0: https://github.com/pandas-dev/pandas/pull/49290/files
Closing then