Information Density: pandas – Signal Evidence & AI Readability

[H1] pandas

pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool,
built on top of the Python programming language.

Install pandas now!

[H5] Getting started

Install pandas
Getting started
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[H5] Documentation

User guide
API reference
Contributing to pandas
Release notes

[H5] Community

About pandas
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Ecosystem

[H5] With the support of:

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The full list of companies supporting pandas is available in the sponsors page.

[H4] Latest version: 3.0.1

What's new in 3.0.1
Release date:Feb 17, 2026
Documentation (web)
Download source code

[H4] Follow us

[H4] Recommended books

[IMG: Python for Data Analysis]

[IMG: Pandas Cookbook, Third Edition]

[IMG: Effective pandas 2]

[H4] Previous versions

2.3.3 (Sep 29, 2025)
changelog |
docs |
code

2.2.3 (Sep 20, 2024)
changelog |
docs |
code

2.1.4 (Dec 08, 2023)
changelog |
docs |
code

2.0.3 (Jun 28, 2023)
changelog |
docs |
code

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1.5.3 (Jan 19, 2023)
changelog |
docs |
code

[H1] What’s new in 2.3.3 (September 29, 2025)#
These are the changes in pandas 2.3.3. See Release notes for a full changelog
including other versions of pandas.
[H2] 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. For this release, wheels will be uploaded for normal Python 3.14 across all
platforms, while wheels for free-threaded Python 3.14 will be available for Linux and macOS only.
As usual please report any bugs discovered to our issue tracker
[H2] 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. See
Upcoming changes in pandas 3.0 for more details.
[H3] 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 StringDtype
Series, similarly as it works for object-dtype Series (GH 61940)
[H3] 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)
[H2] 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)
[H2] 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)
[H2] 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 +

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[H1] pandas documentation#
Date: Jan 14, 2026 Version: 2.3.3
Download documentation: Zipped HTML
Previous versions: Documentation of previous pandas versions is available at
pandas.pydata.org.
Useful links:
Binary Installers |
Source Repository |
Issues & Ideas |
Q&A Support |
Mailing List
pandas is an open source, BSD-licensed library providing high-performance,
easy-to-use data structures and data analysis tools for the Python
programming language.
Getting started
New to pandas? Check out the getting started guides. They contain an
introduction to pandas’ main concepts and links to additional tutorials.
User guide
The user guide provides in-depth information on the
key concepts of pandas with useful background information and explanation.
API reference
The reference guide contains a detailed description of
the pandas API. The reference describes how the methods work and which parameters can
be used. It assumes that you have an understanding of the key concepts.
Developer guide
Saw a typo in the documentation? Want to improve
existing functionalities? The contributing guidelines will guide
you through the process of improving pandas.

Show Source

[H1] What’s new in 2.2.3 (September 20, 2024)#
These are the changes in pandas 2.2.3. See Release notes for a full changelog
including other versions of pandas.
[H2] Pandas 2.2.3 is now compatible with Python 3.13#
Pandas 2.2.3 is the first version of pandas that is generally compatible with the upcoming
Python 3.13, and both wheels for free-threaded and normal Python 3.13 will be uploaded for
this release.
As usual please report any bugs discovered to our issue tracker
[H2] Bug fixes#
Bug in eval() on complex including division / discards imaginary part. (GH 21374)
Minor fixes for numpy 2.1 compatibility. (GH 59444)
[H2] Other#
Missing licenses for 3rd party dependencies were added back into the wheels. (GH 58632)
[H2] Contributors#
A total of 15 people contributed patches to this release. People with a
“+” by their names contributed a patch for the first time.
Abdulaziz Aloqeely +
Ben Greiner
Elliott Sales de Andrade
Ewout ter Hoeven
Joris Van den Bossche
Laurent Mutricy +
Lumberbot (aka Jack)
Lysandros Nikolaou +
Matthew Roeschke
Mohammad Ahmadi +
Pandas Development Team
Patrick Hoefler
Thomas Li
dependabot[bot]
pre-commit-ci[bot]

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