What’s new in 2.3.3 (September 29, 2025) — pandas 3.0.0rc0+33.g1fd184de2a documentation (original) (raw)

These are the changes in pandas 2.3.3. See Release notes for a full changelog including other versions of pandas.

Pandas 2.3.3 is now compatible with Python 3.14#

Pandas 2.3.3 is the first version of pandas that is generally compatible with the upcoming Python 3.14, and both wheels for free-threaded and normal Python 3.14 will be uploaded for this release.

As usual please report any bugs discovered to our issue tracker

Improvements and fixes for the StringDtype#

Most changes in this release are related to StringDtype which will become the default string dtype in pandas 3.0. SeeUpcoming changes in pandas 3.0 for more details.

Improvements#

• Update DataFrame.select_dtypes() to keep selecting str columns when specifying include=["object"] for backwards compatibility. In a future release, this will be deprecated and code for pandas 3+ should be updated to do include=["str"] (GH 61916)
• Support the / operation between a pathlib.Path object and a StringDtypeSeries, similarly as it works for object-dtype Series (GH 61940)

Bug fixes#

• Fix bug in Series.str.replace() using named capture groups (e.g., \g<name>) with the Arrow-backed dtype would raise an error (GH 57636)
• Fix regression in Series.str.contains(), match() and fullmatch()with a compiled regex and custom flags (GH 62240)
• Fix Series.str.match() and fullmatch() not matching patterns with groups correctly for the Arrow-backed string dtype (GH 61072)
• Fix bug in groupby() with sum() and unobserved categories resulting in 0 instead of the empty string "" (GH 61909)
• Fix Series.str.isdigit() to correctly recognize unicode superscript characters as digits for StringDtype backed by PyArrow (GH 61466)
• Fix comparing a StringDtype Series with mixed objects raising an error (GH 60228)
• Fix error being raised when using a numpy ufunc with a Python-backed string array (GH 40800)

Other changes#

• The deprecation of using Series.resample() and DataFrame.resample()with a PeriodIndex (and the ‘convention’ keyword) has been undone. Resampling with a PeriodIndex is supported again, but a subset of methods that return incorrect results will raise an error in pandas 3.0 (GH 57033)

Other bug fixes#

• Fix memory leak in DataFrame.to_json() with datetime columns (GH 62204)
• Fixed regression in DataFrame.from_records() not initializing subclasses properly (GH 57008)
• The DataFrame.iloc() now works correctly with copy_on_write option when assigning values after subsetting the columns of a homogeneous DataFrame (GH 60309)

Contributors#

A total of 15 people contributed patches to this release. People with a “+” by their names contributed a patch for the first time.

• ChiLin Chiu
• Evgenii Mosikhin +
• Ian Hunt-Isaak +
• Joris Van den Bossche
• Laurie O +
• Lumberbot (aka Jack)
• Matthew Roeschke
• Nathan Goldbaum
• Patrick Hoefler
• Richard Shadrach
• Scott Talbert
• jbrockmendel
• pandas Development Team
• ptth222 +
• Álvaro Kothe +