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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 v1.4.0rc0

Pandas: v1.4.0rc0 Release

Release date:

January 5, 2022

Previous version:

v1.4.0.dev0 (released December 11, 2021)

Magnitude:

79,731 Diff Delta

Contributors:

162 total committers

Data confidence:

Commits:

960

960 Commits in this Release

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

TYP: Use Protocols for file-like objects in read/to_* (#43951)

Authored November 17, 2021

ENH: A new GroupBy method to slice rows preserving index and order (#42947)

Authored October 15, 2021

CLN: split/fixturize to_datetime tests (#44367)

Authored November 11, 2021

TST: fixturize, collect (#44242)

Authored October 31, 2021

TST/REF: share shift tests (#44941)

Authored December 17, 2021

ENH: `Styler.format_index()` to display index values similarly to data-values with `format()` (#43101)

Authored September 16, 2021

TST: Split/parameterize test_split_partition.py (#44876)

Authored December 15, 2021

TST: Split/parameterize test_frame_apply.py (#45082)

Authored December 28, 2021

REF: de-duplicate MaskedArray tests (#44004)

Authored October 13, 2021

CLN: tests/window/moments (#44961)

Authored December 19, 2021

CLN/TST: Remove redundant/unnecessary windows/moments tests (#44239)

Authored October 30, 2021

CLN/TST: address TODOs (#44211)

Authored October 28, 2021

CLN: TODOs and FIXMEs (#44455)

Authored November 16, 2021

TST: skip fewer tests (#44918)

Authored December 16, 2021

TST: make get_upcast_box more flexible (#44385)

Authored November 11, 2021

CLN: simplify `Styler._translate` (#43686)

Authored October 16, 2021

CLN: TODOs and FIXMEs (#44479)

Authored November 17, 2021

BUG: styler multiindex hiding indexes and columns alignment (#43649)

Authored October 18, 2021

TST: More pytest idioms in tests/generic (#45086)

Authored December 28, 2021

TYP: enable disallow_untyped_decorators (#43828)

Authored October 30, 2021

CLN: split giant dt accessor tests (#44355)

Authored November 10, 2021

CLN/TST: skips -> xfails (#44744)

Authored December 5, 2021

[ArrayManager] TST: Convert skip into xfail and clean-up tests that now work (#44571)

Authored November 23, 2021

TST: de-duplicate test_eval (#44661)

Authored November 29, 2021

CLN: TODOs/noqas/xfails (#44586)

Authored November 24, 2021

TST: parametrize/share indexing tests (#44215)

Authored October 28, 2021

REF: concat on bm_axis==0 (#43626)

Authored September 17, 2021

TYP: Typing for ExtensionArray.__getitem__ (#41258)

Authored September 8, 2021

CLN/TYP: address TODOs, ignores (#44308)

Authored November 5, 2021

ENH: option to export df to Stata dataset with value labels (#41042)

Authored September 10, 2021

CLN: FIXMEs (#44771)

Authored December 6, 2021

CLN/TST: parametrize (#44888)

Authored December 16, 2021

TYP: rename FrameOrSeries to NDFrameT (#43752)

Authored September 28, 2021

REF: Implement EA._mode, de-special-case categorical/dtlike (#45033)

Authored December 28, 2021

PERF: Sparse Series to scipy COO sparse matrix (#42925)

Authored September 5, 2021

PERF: groupby.quantile (#43469)

Authored September 9, 2021

ENH: `multirow` naive implementation `Styler.to_latex` part1 (#43369)

Authored September 7, 2021

DOC: substitute multiple entries for `subset` in `style.py` (#44454)

Authored November 20, 2021

PERF: Improve performance in rolling.mean(engine="numba") (#43612)

Authored September 23, 2021

TST: tests for setitem-like casting issues (#45154)

Authored January 3, 2022

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Top Contributors in v1.4.0rc0

jbrockmendel

mroeschke

phofl

twoertwein

attack68

mzeitlin11

lithomas1

jorisvandenbossche

Dr-Irv

johnzangwill

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Release Notes Published

We are pleased to announce a release candidate for pandas 1.4.0. If all goes well, we'll release pandas 1.4.0 in about two weeks.

See the whatsnew for a list of all the changes. pandas 1.4.0 supports Python 3.8 and higher.

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

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==1.4.0rc0

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==1.4.0rc0

Please report any issues with the release candidate on the pandas issue tracker.