# pandas changelog

> pandas release notes.

- Vendor: pandas
- Category: Frameworks & Libraries
- Official site: https://pandas.pydata.org/
- Tracked by: What's New (https://whatsnew.fyi/product/pandas)
- Harvested from: GitHub (pandas-dev/pandas)
- Entries below: 10 (newest first)

What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog.

## Releases

### v3.0.5 — pandas 3.0.5

- Date: 2026-07-22
- Version: v3.0.5
- Original notes: https://github.com/pandas-dev/pandas/releases/tag/v3.0.5
- Permalink: https://whatsnew.fyi/product/pandas/releases/v3.0.5

We are pleased to announce the release of pandas 3.0.5.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the [full whatsnew](https://pandas.pydata.org/docs/whatsnew/v3.0.5.html) for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. 
The release can be installed from PyPI:

    python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

    conda install -c conda-forge pandas=3.0

Please report any issues with the release on the [pandas issue tracker](https://github.com/pandas-dev/pandas/issues).

Thanks to all the contributors who made this release possible.

### v3.0.4 — pandas 3.0.4

- Date: 2026-06-28
- Version: v3.0.4
- Original notes: https://github.com/pandas-dev/pandas/releases/tag/v3.0.4
- Permalink: https://whatsnew.fyi/product/pandas/releases/v3.0.4

We are pleased to announce the release of pandas 3.0.4.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the [full whatsnew](https://pandas.pydata.org/docs/whatsnew/v3.0.4.html) for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. 
The release can be installed from PyPI:

    python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

    conda install -c conda-forge pandas=3.0

Please report any issues with the release on the [pandas issue tracker](https://github.com/pandas-dev/pandas/issues).

Thanks to all the contributors who made this release possible.

### v3.0.3 — pandas 3.0.3

- Date: 2026-05-11
- Version: v3.0.3
- Original notes: https://github.com/pandas-dev/pandas/releases/tag/v3.0.3
- Permalink: https://whatsnew.fyi/product/pandas/releases/v3.0.3

We are pleased to announce the release of pandas 3.0.3.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the [full whatsnew](https://pandas.pydata.org/docs/whatsnew/v3.0.3.html) for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. 
The release can be installed from PyPI:

    python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

    conda install -c conda-forge pandas=3.0

Please report any issues with the release on the [pandas issue tracker](https://github.com/pandas-dev/pandas/issues).

Thanks to all the contributors who made this release possible.

### v3.0.2 — pandas 3.0.2

- Date: 2026-03-30
- Version: v3.0.2
- Original notes: https://github.com/pandas-dev/pandas/releases/tag/v3.0.2
- Permalink: https://whatsnew.fyi/product/pandas/releases/v3.0.2

We are pleased to announce the release of pandas 3.0.2.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the [full whatsnew](https://pandas.pydata.org/docs/dev/whatsnew/v3.0.2.html) for a list of all the changes.

Pandas 3.0 supports Python 3.11 and higher. 
The release can be installed from PyPI:

    python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

    conda install -c conda-forge pandas=3.0

Please report any issues with the release on the [pandas issue tracker](https://github.com/pandas-dev/pandas/issues).

Thanks to all the contributors who made this release possible.

### v3.0.1 — pandas 3.0.1

- Date: 2026-02-17
- Version: v3.0.1
- Original notes: https://github.com/pandas-dev/pandas/releases/tag/v3.0.1
- Permalink: https://whatsnew.fyi/product/pandas/releases/v3.0.1

We are pleased to announce the release of pandas 3.0.1.
This is a patch release in the 3.0.x series and includes some regression fixes and bug fixes. We recommend that all users of the 3.0.x series upgrade to this version.

See the [full whatsnew](https://pandas.pydata.org/docs/dev/whatsnew/v3.0.1.html) for a list of all the changes.

Pandas 3.0.0 supports Python 3.11 and higher. 
The release can be installed from PyPI:

    python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

    conda install -c conda-forge pandas=3.0

Please report any issues with the release on the [pandas issue tracker](https://github.com/pandas-dev/pandas/issues).

Thanks to all the contributors who made this release possible.

### v3.0.0 — pandas 3.0.0

- Date: 2026-01-21
- Version: v3.0.0
- Original notes: https://github.com/pandas-dev/pandas/releases/tag/v3.0.0
- Permalink: https://whatsnew.fyi/product/pandas/releases/v3.0.0

- **added** — Dedicated string data type by default
- **added** — Consistent copy/view behaviour with Copy-on-Write (CoW)
- **added** — Initial support for the new pd.col syntax
- **changed** — New default resolution for datetime-like data
- **removed** — Functionality that was deprecated in previous releases
- **changed** — Pandas 3.0.0 now supports Python 3.11 and higher

We are pleased to announce the release of pandas 3.0.0, a major release from the pandas 2.x series. This release includes various new features, bug fixes, and performance improvements, as well as possible breaking changes.  

The pandas 3.0 release removed a functionality that was deprecated in previous releases. It is recommended to first upgrade to pandas 2.3 and to ensure your code is working without warnings, before upgrading to pandas 3.0.

Highlights include:

- [Dedicated string data type by default](https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-enhancements-string-dtype)
- [Consistent copy/view behaviour with Copy-on-Write](https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-enhancements-copy_on_write) (CoW) (a.k.a. getting rid of the SettingWithCopyWarning)
- [New default resolution for datetime-like data](https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-api-breaking-datetime-resolution-inference)
- [Initial support for the new `pd.col` syntax](https://pandas.pydata.org/docs/whatsnew/v3.0.0.html#whatsnew-300-enhancements-col)

See the [announcement blog post](https://pandas.pydata.org/community/blog/pandas-3.0.html) and the [detailed release notes](https://pandas.pydata.org/docs/whatsnew/v3.0.0.html) for a list of all the changes.

Pandas 3.0.0 supports Python 3.11 and higher. 
The release can be installed from PyPI

    python -m pip install --upgrade pandas==3.0.*

Or from conda-forge

    conda install -c conda-forge pandas=3.0

Please report any issues with the release on the [pandas issue tracker](https://github.com/pandas-dev/pandas/issues/new/choose).

Thanks to all the contributors who made this release possible.

### v3.0.0rc2 — Pandas 3.0.0rc2

- Date: 2026-01-14
- Version: v3.0.0rc2
- Original notes: https://github.com/pandas-dev/pandas/releases/tag/v3.0.0rc2
- Permalink: https://whatsnew.fyi/product/pandas/releases/v3.0.0rc2
- Labels: Pre-release

### v3.0.0rc1 — Pandas 3.0.0rc1

- Date: 2025-12-19
- Version: v3.0.0rc1
- Original notes: https://github.com/pandas-dev/pandas/releases/tag/v3.0.0rc1
- Permalink: https://whatsnew.fyi/product/pandas/releases/v3.0.0rc1
- Labels: Pre-release

### v3.0.0rc0 — Pandas 3.0.0rc0

- Date: 2025-12-03
- Version: v3.0.0rc0
- Original notes: https://github.com/pandas-dev/pandas/releases/tag/v3.0.0rc0
- Permalink: https://whatsnew.fyi/product/pandas/releases/v3.0.0rc0
- Labels: Pre-release

We are pleased to announce a first release candidate for pandas 3.0.0. If all goes well, we'll release pandas 3.0.0 in a few weeks.

See the [whatsnew][0] for a list of all the changes.

The release is available on conda-forge and PyPI.

The release can be installed from PyPI

    python -m pip install --upgrade --pre pandas==3.0.0rc0

Or from conda-forge

    conda install -c conda-forge/label/pandas_rc pandas==3.0.0rc0

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

[0]: https://pandas.pydata.org/docs/dev/whatsnew/v3.0.0.html

### v2.3.3 — Pandas 2.3.3

- Date: 2025-09-29
- Version: v2.3.3
- Original notes: https://github.com/pandas-dev/pandas/releases/tag/v2.3.3
- Permalink: https://whatsnew.fyi/product/pandas/releases/v2.3.3

- **added** — Support for Python 3.14
- **changed** — Improvements and fixes to the future string data type preview feature for pandas 3.0

We are pleased to announce the release of pandas 2.3.3.
This release includes some improvements and fixes to the future string data type (preview feature for the upcoming pandas 3.0). We recommend that all users upgrade to this version.

See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/2.3/whatsnew/v2.3.3.html) for a list of all the changes.
Pandas 2.3.3 supports Python 3.9 and higher, and is the first release to support Python 3.14.

The release will be available on the conda-forge channel:

    conda install pandas --channel conda-forge

Or via PyPI:

    python3 -m pip install --upgrade pandas

Please report any issues with the release on the [pandas issue tracker](https://github.com/pandas-dev/pandas/issues).

Thanks to all the contributors who made this release possible.