You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The pandas.Timestamp.tz_localize() and pandas.Timestamp.tz_convert() methods do not preserve the freq attribute. For background, the freq attribute is mostly a "helpful label", and it seems semantically ill-defined to me; cf. issue #15146, which proposes removing the attribute.
I don't think that pandas.Timestamp should actually have a freq attribute, but so long as it does, it should be propagated to the new timestamp value returned by tz_localize() or tz_convert. In the tz_convert case, the method should produce an "equivalent" timestamp with a different tz.
Expected Output
t1.tz_localize(pytz.utc).freq should equal t1.freq, and t2.tz_convert(pytz.utc).freq should equal t2.freq.
The
pandas.Timestamp.tz_localize()
andpandas.Timestamp.tz_convert()
methods do not preserve thefreq
attribute. For background, thefreq
attribute is mostly a "helpful label", and it seems semantically ill-defined to me; cf. issue #15146, which proposes removing the attribute.Code Sample
Problem description
I don't think that
pandas.Timestamp
should actually have afreq
attribute, but so long as it does, it should be propagated to the new timestamp value returned bytz_localize()
ortz_convert
. In thetz_convert
case, the method should produce an "equivalent" timestamp with a different tz.Expected Output
t1.tz_localize(pytz.utc).freq
should equalt1.freq
, andt2.tz_convert(pytz.utc).freq
should equalt2.freq
.Output of
pd.show_versions()
No module named 'dask'
INSTALLED VERSIONS
commit: 04df22f
python: 3.7.2.final.0
python-bits: 64
OS: Darwin
OS-release: 17.7.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.25.0.dev0+89.g04df22fbe
pytest: 4.2.0
pip: 19.0.1
setuptools: 40.7.3
Cython: 0.29.4
numpy: 1.15.4
scipy: 1.2.0
pyarrow: 0.11.1
xarray: 0.11.0
IPython: 7.2.0
sphinx: 1.8.4
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.9
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.9
feather: None
matplotlib: 3.0.2
openpyxl: 2.5.14
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.2
lxml.etree: 4.3.0
bs4: 4.7.1
html5lib: 1.0.1
sqlalchemy: 1.2.17
pymysql: 0.9.3
psycopg2: None
jinja2: 2.10
s3fs: 0.2.0
fastparquet: 0.2.1
pandas_gbq: None
pandas_datareader: None
gcsfs: 0.1.2
The text was updated successfully, but these errors were encountered: