BUG: pd.to_datetime() fails to parse nanoseconds · Issue #48767 · pandas-dev/pandas (original) (raw)

Pandas version checks

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Reproducible Example

import pandas as pd

timestamp = '15/02/2020 02:03:04.123456789' timestamp_format = '%d/%m/%Y %H:%M:%S.%f' pd.to_datetime(timestamp, format=timestamp_format)

Issue Description

New in 1.5.0 – the following error is raised

ValueError: unconverted data remains: 789

If dropping nanosecond support was intentional, the documentation was not updated accordingly.

Expected Behavior

No error raised.

Installed Versions

INSTALLED VERSIONS

commit : 87cfe4e
python : 3.8.9.final.0
python-bits : 64
OS : Darwin
OS-release : 21.6.0
Version : Darwin Kernel Version 21.6.0: Mon Aug 22 20:17:10 PDT 2022; root:xnu-8020.140.49~2/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.UTF-8

pandas : 1.5.0
numpy : 1.22.4
pytz : 2022.2.1
dateutil : 2.8.2
setuptools : 65.3.0
pip : 22.2.2
Cython : None
pytest : 5.4.3
hypothesis : None
sphinx : 3.5.4
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.3
IPython : 7.31.0
pandas_datareader: None
bs4 : 4.10.0
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2022.8.2
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 6.0.1
pyreadstat : None
pyxlsb : None
s3fs : 0.6.0
scipy : None
snappy : None
sqlalchemy : 1.4.29
tables : None
tabulate : 0.8.9
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None