# pandas: what changed from 2 to 3 - Product: pandas (https://whatsnew.fyi/product/pandas) - Vendor: pandas - Range: changelog entries numbered after v2.3.3 up to and including v3.0.5, stable releases only - Entries below: 6 releases (newest first) - Resolved: 2 is v2.3.3 and 3 is v3.0.5, the newest stable release of each major we track - Carrying security changes: 0 · CVEs mentioned: 0 · Mentioning breaking changes: 1 · Removing or deprecating something: 1 - Page: https://whatsnew.fyi/product/pandas/compare/2...3 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. Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'. ## What changed (6 changes, grouped by kind) ### Added #### v3.0.0 (2026-01-21) - Dedicated string data type by default - Consistent copy/view behaviour with Copy-on-Write (CoW) - Initial support for the new pd.col syntax ### Changed #### v3.0.0 (2026-01-21) - New default resolution for datetime-like data - Pandas 3.0.0 now supports Python 3.11 and higher ### Removed #### v3.0.0 (2026-01-21) - Functionality that was deprecated in previous releases _5 releases carry no categorized changes yet: v3.0.5, v3.0.4, v3.0.3, v3.0.2, v3.0.1._ ## Release notes ### 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.