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BUG: Printing a timezone-aware datetime series raises #54623

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3 tasks done
AdrianDAlessandro opened this issue Aug 18, 2023 · 1 comment · Fixed by #54625
Closed
3 tasks done

BUG: Printing a timezone-aware datetime series raises #54623

AdrianDAlessandro opened this issue Aug 18, 2023 · 1 comment · Fixed by #54625
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@AdrianDAlessandro
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Bug Datetime Datetime data dtype Non-Nano datetime64/timedelta64 with non-nanosecond resolution Output-Formatting __repr__ of pandas objects, to_string Timezones Timezone data dtype
Milestone
2.1

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@AdrianDAlessandro
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AdrianDAlessandro commented Aug 18, 2023 •
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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
>>> import numpy as np
>>> ser1 = pd.Series(np.array(["2999-01-01"], dtype="datetime64[us]"))
>>> print(ser1) # This is fine
0   2999-01-01
dtype: datetime64[us]
>>> ser2 = pd.Series(np.array(["2999-01-01"], dtype="datetime64[us]")).dt.tz_localize("US/Pacific")
>>> print(ser2) # This breaks
[...]
pandas._libs.tslibs.conversion.convert_datetime_to_tsobject
  File "np_datetime.pyx", line 231, in pandas._libs.tslibs.np_datetime.check_dts_bounds
pandas._libs.tslibs.np_datetime.OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 2999-01-01 00:00:00, at position 0

Issue Description

Printing a timezone aware datetime Series for non-ns resolution raises OutOfBoundsDatetime error

Expected Behavior

We should be able to print the Series

Installed Versions

INSTALLED VERSIONS

commit : 77bc67a
python : 3.11.1.final.0
python-bits : 64
OS : Darwin
OS-release : 22.6.0
Version : Darwin Kernel Version 22.6.0: Wed Jul 5 22:22:05 PDT 2023; root:xnu-8796.141.3~6/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8

pandas : 0+untagged.33100.g77bc67a.dirty
numpy : 1.24.4
pytz : 2023.3
dateutil : 2.8.2
setuptools : 65.5.0
pip : 22.3.1
Cython : 0.29.33
pytest : 7.4.0
hypothesis : 6.82.5
sphinx : 6.2.1
blosc : 1.11.1
feather : None
xlsxwriter : 3.1.2
lxml.etree : 4.9.3
html5lib : 1.1
pymysql : 1.4.6
psycopg2 : 2.9.7
jinja2 : 3.1.2
IPython : 8.14.0
pandas_datareader : None
bs4 : 4.12.2
bottleneck : 1.3.7
brotli :
dataframe-api-compat: None
fastparquet : 2023.7.0
fsspec : 2023.6.0
gcsfs : 2023.6.0
matplotlib : 3.7.2
numba : 0.57.1
numexpr : 2.8.5
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 12.0.1
pyreadstat : 1.2.2
pyxlsb : 1.0.10
s3fs : 2023.6.0
scipy : 1.11.2
snappy : None
sqlalchemy : 2.0.20
tables : None
tabulate : 0.9.0
xarray : 2023.7.0
xlrd : 2.0.1
zstandard : 0.21.0
tzdata : 2023.3
qtpy : None
pyqt5 : None
@AdrianDAlessandro AdrianDAlessandro added Bug Needs Triage Issue that has not been reviewed by a pandas team member labels Aug 18, 2023
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@AdrianDAlessandro AdrianDAlessandro mentioned this issue Aug 18, 2023
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@lithomas1 lithomas1 added Datetime Datetime data dtype Output-Formatting __repr__ of pandas objects, to_string Non-Nano datetime64/timedelta64 with non-nanosecond resolution Timezones Timezone data dtype and removed Needs Triage Issue that has not been reviewed by a pandas team member labels Aug 19, 2023
@jorisvandenbossche jorisvandenbossche added this to the 2.1 milestone Aug 21, 2023
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@AdrianDAlessandro AdrianDAlessandro

Labels
Bug Datetime Datetime data dtype Non-Nano datetime64/timedelta64 with non-nanosecond resolution Output-Formatting __repr__ of pandas objects, to_string Timezones Timezone data dtype
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Milestone
2.1
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BUG: Fix error in printing timezone series AdrianDAlessandro/pandas
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@jorisvandenbossche @AdrianDAlessandro @lithomas1