Description
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
ts = pd.Timestamp('2021-04-25 12:13:30', tz='Europe/Berlin')
ts_new = np.int64(ts.asm8)
print(ts_new)Issue Description
Accodring to the Pandas documentation "Timestamp.asm8 -> Return numpy datetime64 format in nanoseconds."
But in the most recent version of Pandas it looks like the output simply omitts seconds, ms, us, and ns, if they are not explicitly given with the input string. To me this is unintended behaviour, if the documentation clearly states that the output is in unit of nanoseconds.
Expected Behavior
Expected behavior:
The output should be 1619345610000000000. Instead it is now truncated to 1619345610.
Installed Versions
INSTALLED VERSIONS
commit : 0f43794
python : 3.11.3.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19045
machine : AMD64
processor : Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
byteorder : little
LC_ALL : None
LANG : en
LOCALE : de_DE.cp1252
pandas : 2.0.3
numpy : 1.24.3
pytz : 2022.7
dateutil : 2.8.2
setuptools : 67.8.0
pip : 23.1.2
Cython : None
pytest : 7.4.0
hypothesis : None
sphinx : 5.0.2
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.2
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.15.0
pandas_datareader: None
bs4 : 4.12.2
bottleneck : 1.3.5
brotli :
fastparquet : None
fsspec : 2023.4.0
gcsfs : None
matplotlib : 3.7.2
numba : 0.57.1
numexpr : 2.8.4
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : 2023.4.0
scipy : 1.11.1
snappy :
sqlalchemy : 1.4.39
tables : 3.8.0
tabulate : 0.8.10
xarray : 2023.6.0
xlrd : None
zstandard : 0.19.0
tzdata : 2023.3
qtpy : 2.2.0
pyqt5 : None