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Pull requests: pandas-dev/pandas
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Fix ns precision isoformat Output-Formatting __repr__ of pandas objects, to_string Timestamp pd.Timestamp and associated methods
Backport PR #52311 on branch 2.0.x (DOC: Clarify Timestamp(unit=) will not necessarily set unit) Docs Non-Nano datetime64/timedelta64 with non-nanosecond resolution Timestamp pd.Timestamp and associated methods
Backport PR #52220 on branch 2.0.x (BUG: zero-pad shorter years in pd.Timestamp and associated methods
Timestamp.isoformat) Timestamp Backport PR #52204 on branch 2.0.x (DOC: Update timestamp limitations) Docs Non-Nano datetime64/timedelta64 with non-nanosecond resolution Timestamp pd.Timestamp and associated methods
BUG: Timestamp.round overflows Bug Timedelta Timedelta data type Timestamp pd.Timestamp and associated methods
revert Timestamp and Timedelta constructors typing allowing NaTType return Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Timedelta Timedelta data type Timestamp pd.Timestamp and associated methods Typing type annotations, mypy/pyright type checking
ENH: support td64/dt64 in GroupBy.std Groupby Reduction Operations sum, mean, min, max, etc. Timedelta Timedelta data type Timestamp pd.Timestamp and associated methods
BUG: Timestamp.replace handle out-of-pydatetime range Non-Nano datetime64/timedelta64 with non-nanosecond resolution Timestamp pd.Timestamp and associated methods
API: Timestamp and Timedelta .value changing in 2.0 Timedelta Timedelta data type Timestamp pd.Timestamp and associated methods
API: dtlike.astype(inty) Astype Dtype Conversions Unexpected or buggy dtype conversions Period Period data type Timedelta Timedelta data type Timestamp pd.Timestamp and associated methods
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