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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 v2.2.0rc0

Pandas: v2.2.0rc0 Release

Release date:
December 22, 2023
Previous version:
v2.2.0.dev0 (released August 11, 2023)
Magnitude:
64,975 Diff Delta
Contributors:
121 total committers
Data confidence:
Commits:
913 impacting commits

913 Commits in this Release

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

DEPR: deprecate strings T, S, L, U, and N in offsets frequencies, resolution abbreviations, _attrname_to_abbrevs (#54061)
Authored August 29, 2023
Fix new string dtype tests for frame folder (#55409)
Authored December 9, 2023
DEPR offsets: rename 'M' to 'ME' (#52064)
Authored September 20, 2023
DEPR: deprecate string H, BH, CBH in offsets frequencies, resolution abbreviations, _attrname_to_abbrevs (#54939)
Authored October 8, 2023
ENH: Add numba engine to df.apply (#55104)
Authored October 22, 2023
Add SQL Support for ADBC Drivers (#53869)
Authored November 22, 2023
DEPS: Bump optional dependencies (#55524)
Authored October 23, 2023
CoW warning mode: warn in case of chained assignment (#55522)
Authored November 28, 2023
CoW: Add warning mode for cases that will change behaviour (#55428)
Authored October 30, 2023
TST: Clean up autouse fixtures (#55269)
Authored September 25, 2023
TST/CLN: Remove makeStringIndex (#56155)
Authored November 27, 2023
TYP: simple return types (#54786)
Authored August 31, 2023
CLN: Update LICENCES and reference where used (#54743)
Authored August 25, 2023
DOC: Remove 1.2 versionadded and changed (#56544)
Authored December 18, 2023
TST/ CLN: Remove makeCustomIndex/DataFrame (#56331)
Authored December 5, 2023
Less C89, most const, static funcs (#56254)
Authored November 30, 2023
DEPR: 'A' for yearly frequency and YearEnd in favour of 'Y' (#55252)
Authored October 6, 2023
API: Implement Arrow String Array that is compatible with NumPy semantics (#54533)
Authored August 23, 2023
TST: Load iris and types data in sql tests as needed (#55265)
Authored October 25, 2023
TST: parametrize over dt64 unit (#55818)
Authored November 4, 2023
Convert test_sql to pytest idiom (#54936)
Authored September 7, 2023
BUG: groupby.idxmax/idxmin consistently raise on unobserved categorical (#55268)
Authored October 8, 2023
ENH: Reflect changes from `numpy` namespace refactor Part 3 (#54579)
Authored August 16, 2023
TST: use single-class pattern for Arrow, Masked tests (#54573)
Authored August 16, 2023
DEPR: fix stacklevel for DataFrame(mgr) deprecation (#55591)
Authored November 9, 2023
DEPR: Index.format (#55439)
Authored October 13, 2023
REF: collect to_string tests (#55751)
Authored October 29, 2023
Adjust tests in Indexing folder for string option (#56107)
Authored November 27, 2023
DEPR: DatetimeArray/TimedeltaArray.__init__ (#56043)
Authored December 21, 2023
TST: Skip pyarrow csv tests that raise ParseErrors (#55943)
Authored November 14, 2023
DEPR: DataFrameGroupBy.apply operating on the group keys (#54950)
Authored September 7, 2023
TST: parametrize over dt64 unit (#56052)
Authored November 18, 2023
TST: collect date_range tests, parametrize over unit (#55966)
Authored November 15, 2023
TST: parametrize and improve test performance (#55962)
Authored November 16, 2023
TYP: towards matplotlib 3.8 (#55253)
Authored November 15, 2023
REF: Add tests.groupby.methods (#55312)
Authored October 12, 2023
TYP: plotting (#55829)
Authored November 6, 2023
DEPR: groupby.fillna (#55719)
Authored November 16, 2023
TST: dt64 unit in tests (#56126)
Authored November 23, 2023
PERF: merge on monotonic keys (#56523)
Authored December 17, 2023

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Top Contributors in v2.2.0rc0

jbrockmendel
mroeschke
phofl
natmokval
jorisvandenbossche
lukemanley
rhshadrach
WillAyd
twoertwein
lithomas1

Directory Browser for v2.2.0rc0

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Release Notes Published

We are pleased to announce a release candidate for pandas 2.2.0. If all goes well, we'll release pandas 2.2.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==2.2.0rc0 Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==2.2.0rc0 Please report any issues with the release candidate on the pandas issue tracker.

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