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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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Pandas v2.1.4

Pandas: v2.1.4 Release

Release date:

December 8, 2023

Previous version:

v2.1.3 (released November 10, 2023)

Magnitude:

667 Diff Delta

Contributors:

7 total committers

Data confidence:

Commits:

30 Commits in this Release

Ordered by the degree to which they evolved the repo in this version.

Backport PR #56174: CI: Add 3.12 builds (#56333)

Authored December 7, 2023

Backport PR #55619 on branch 2.1.x (BUG: Groupby not keeping string dtype for empty objects) (#55705)

Authored December 4, 2023

Backport PR #56114: CLN: Get rid of PyArray_GetCastFunc (#56313)

Authored December 4, 2023

BUG: avoid DeprecationWarning when the Series has index as list of Series (#55395) (#56325)

Authored December 4, 2023

Backport PR #56063 on branch 2.1.x (CI: Fix pyarrow nightly ci failure) (#56069)

Authored November 19, 2023

Backport PR #56152 on branch 2.1.x (BUG: translate losing object dtype with new string dtype) (#56185)

Authored November 26, 2023

Backport PR #56308 on branch 2.1.x (REGR: Fix reading old pickles from pandas 1.3.5) (#56335)

Authored December 5, 2023

Backport PR #56179 on branch 2.1.x (BUG: to_numeric casting to ea for new string dtype) (#56263)

Authored November 30, 2023

Backport PR #55993 on branch 2.1.x (TST update and simplify consortium api test) (#56112)

Authored November 22, 2023

Backport PR #56184 on branch 2.1.x (BUG: mode not preserving object dtype for string option) (#56383)

Authored December 7, 2023

Backport PR #55703 on branch 2.1.x (Use DeprecationWarning instead of FutureWarning for is_.._dtype deprecations) (#56377)

Authored December 7, 2023

Backport PR #56194 on branch 2.1.x (BUG: hdf can't deal with ea dtype columns) (#56199)

Authored November 27, 2023

Backport PR #56109 on branch 2.1.x (CI: Ignore EncodingWarning in assert_produces_warning) (#56116)

Authored November 22, 2023

Backport PR #56123 on branch 2.1.x (BUG: ne comparison returns False for NA and other value) (#56382)

Authored December 7, 2023

Backport PR #55920 on branch 2.1.x (Fix off-by-one in aggregations) (#55942)

Authored November 13, 2023

Revert "debug ci"

Authored December 8, 2023

debug ci

Authored December 8, 2023

Backport PR #56393 on branch 2.1.x (DOC: Add release date for 2.1.4) (#56395)

Authored December 8, 2023

Backport PR #55924 on branch 2.1.x (DOC: add whatsnew for 2.1.4) (#55937)

Authored November 13, 2023

Backport PR #55639 on branch 2.1.x (BUG: setitem casting object Index to arrow strings) (#56100)

Authored November 21, 2023

Backport PR #56093 on branch 2.1.x (CI: Catch EncodingWarnings only in pandas) (#56094)

Authored November 21, 2023

Backport PR #56085 on branch 2.1.x (CI: Ignore EncodingWarnings from numpy) (#56086)

Authored November 20, 2023

Backport PR #55832 on branch 2.1.x (BUG: Index.getitem returning wrong result with negative step for arrow) (#56121)

Authored November 22, 2023

Backport PR #56222 on branch 2.1.x (Add doc notes for deprecations) (#56225)

Authored November 28, 2023

Backport PR #56320 on branch 2.1.x (DOC: Move whatsnew) (#56326)

Authored December 4, 2023

Backport PR #56294: BUG: Series(strings, dtype=ArrowDtype[timestamp]) raising (#56349)

Authored December 6, 2023

Backport PR #56332: BUG: str.split for ArrowDtype with pat=None (#56348)

Authored December 6, 2023

Backport PR #56160 on branch 2.1.x (BUG: reset_index not preserving object dtype for string option) (#56387)

Authored December 7, 2023

RLS: 2.1.4

Authored December 8, 2023

Fix for 55753 BUG: No kwargs in df.apply(raw=True) [ Backport to 2.1.x ] (#55930)

Authored November 14, 2023

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Top Contributors in v2.1.4

meeseeksmachine

lithomas1

mroeschke

phofl

jorisvandenbossche

pandas-development-team-79e2

dannyi96

Directory Browser for v2.1.4

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Release Notes Published

This is a patch release in the 2.1.x series and includes some regression and bug fixes, and a security fix. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes.

The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the pandas issue tracker.

Thanks to all the contributors who made this release possible.