BUG: pd.Timestamp loses fold when removing timezone which is inconsistent with datetime.datetime · Issue #37610 · pandas-dev/pandas (original) (raw)
- [+] 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 tested on {'dirty': False, 'error': None, 'full-revisionid': '67a3d4241ab84419856b84fc3ebc9abcbe66c6b3', 'version': '1.1.4'} - [-] (optional) I have confirmed this bug exists on the master branch of pandas.
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Problem description
datetime.datetime saves the fold when replacing tzinfo, but pandas.Timestamp doesn't
Code Sample, a copy-pastable example
import dateutil.tz import pandas from datetime import datetime as dt print(pandas.Timestamp(1256427000000000000, tz=dateutil.tz.gettz('Europe/Moscow'), unit='ns'))
Timestamp('2009-10-25 02:30:00+0300', tz='dateutil//usr/share/zoneinfo/Europe/Moscow')
print(pandas.Timestamp(1256427000000000000, tz=dateutil.tz.gettz('Europe/Moscow'), unit='ns').fold)
1
print(pandas.Timestamp(1256427000000000000, tz=dateutil.tz.gettz('Europe/Moscow'), unit='ns').replace(tzinfo=None).fold)
0
print(dt(2009, 10, 25, 2,30, fold=1, tzinfo=dateutil.tz.gettz('Europe/Moscow')).replace(tzinfo=None).fold)
1
Expected Output
Timestamp('2009-10-25 02:30:00+0300', tz='dateutil//usr/share/zoneinfo/Europe/Moscow')
1
1
1
Output of pd.show_versions()
commit : 67a3d42
python : 3.8.4.final.0
python-bits : 64
OS : Darwin
OS-release : 19.5.0
Version : Darwin Kernel Version 19.5.0: Tue May 26 20:41:44 PDT 2020; root:xnu-6153.121.2~2/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.1.4
numpy : 1.16.4
pytz : 2020.4
dateutil : 2.8.0
pip : 20.1.1
setuptools : 39.0.1
Cython : 3.0a6
pytest : 5.0.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : 2.8.3 (dt dec pq3 ext lo64)
jinja2 : 2.10.1
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : 3.0.3
numexpr : None
odfpy : None
openpyxl : 3.0.5
pandas_gbq : None
pyarrow : None
pytables : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : 0.8.6
xarray : None
xlrd : 1.2.0
xlwt : None
numba : None