What’s new in 3.2.0 (Month XX, 2027)#

These are the changes in pandas 3.2.0. See Release notes for a full changelog including other versions of pandas.

Enhancements#

enhancement1#

enhancement2#

Other enhancements#

Display formatting for complex numbers in object dtype and for interval dtype values with float endpoints now respects the display.precision and display.float_format options (GH 25920).
The ExtensionArray base tests in pandas.tests.extension.base now issue a errors.PerformanceWarning when the array uses the default, possibly slow, implementation of unique, factorize, argsort, argmin, argmax, or searchsorted (GH 24433)

Notable bug fixes#

These are bug fixes that might have notable behavior changes.

notable_bug_fix1#

notable_bug_fix2#

Backwards incompatible API changes#

Increased minimum versions for dependencies#

Some minimum supported versions of dependencies were updated. If installed, we now require:

Package	Minimum Version	Required	Changed
		X	X

For optional libraries the general recommendation is to use the latest version. The following table lists the lowest version per library that is currently being tested throughout the development of pandas. Optional libraries below the lowest tested version may still work, but are not considered supported.

Package	Minimum Version	Changed
		X

See Dependencies and Optional dependencies for more.

Other API changes#

Deprecations#

deprecation1#

deprecation2#

Other deprecations#

Deprecated pandas.to_pickle, use the DataFrame.to_pickle() or Series.to_pickle() method instead (GH 48402)

Performance improvements#

Performance improvement in read_csv() with engine="c" across the board, in tokenizing and in the machinery shared by all column types; large uncompressed local files are additionally read in parallel across multiple CPU cores by default, see above (GH 64347, GH 64515, GH 65350, GH 66271, GH 66272, GH 66273, GH 66274, GH 66276, GH 66798, GH 68314, GH 69748)

Bug fixes#

Categorical#

Datetimelike#

Timedelta#

Timezones#

Numeric#

Conversion#

Strings#

Interval#

Bug in concat() and Index.append() with IntervalDtype not retaining an extension dtype subtype, either casting it to a NumPy dtype or raising TypeError (GH 64297)
Bug in Series.shift() and DataFrame.shift() with an IntervalDtype column not retaining the subtype, either changing it or raising TypeError (GH 69922)

Indexing#

Missing#

MultiIndex#

I/O#

Period#

Plotting#

Groupby/resample/rolling#

Reshaping#

Sparse#

ExtensionArray#

Styler#

Other#

Contributors#

A total of 7 people contributed patches to this release. People with a “+” by their names contributed a patch for the first time.

Claude Opus 5
Claude Opus 5.5
Joris Van den Bossche
N3verm1nd
Vincent Ngo +
dependabot[bot]
jbrockmendel