Pandas

Data & ML

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Latest: v3.0.514 releases1 breaking changes18 common errorsUpdated Jul 22, 2026View on GitHub

Release History

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v3.0.51 fix

Jul 22, 2026

Pandas 3.0.5 is a patch release in the 3.0.x series, addressing regression and bug fixes. It is recommended for all users of the 3.0.x series to upgrade.

v3.0.41 fix

Jun 28, 2026

Pandas 3.0.4 is a patch release in the 3.0.x series containing regression and bug fixes. All users of the 3.0.x series are recommended to upgrade.

v3.0.31 fix

May 11, 2026

Pandas 3.0.3 is a patch release in the 3.0.x series containing regression and bug fixes. All users of the 3.0.x series are recommended to upgrade.

v3.0.21 fix

Mar 30, 2026

Pandas 3.0.2 is a patch release in the 3.0.x series containing regression and bug fixes. All users of the 3.0.x series are recommended to upgrade.

v3.0.11 fix

Feb 17, 2026

Pandas 3.0.1 is a patch release in the 3.0.x series containing regression and bug fixes. All users of the 3.0.x series are recommended to upgrade.

v3.1.0.dev0

Jan 21, 2026

v3.0.0Breaking3 features

Jan 21, 2026

Pandas 3.0.0 is a major release introducing a dedicated string dtype by default, consistent Copy-on-Write behavior, and initial support for the pd.col syntax. Users should migrate via version 2.3 first.

No release notes provided.

v3.0.0rc0

Dec 3, 2025

This is the first release candidate (3.0.0rc0) for pandas 3.0.0, signaling readiness for the final release soon. Users are encouraged to test it and report any issues.

v2.3.31 fix1 feature

Sep 29, 2025

Pandas 2.3.3 is released, focusing on improvements and fixes for the future string data type preview feature. Users are recommended to upgrade to this version.

v2.3.21 fix1 feature

Aug 21, 2025

Pandas 2.3.2 is released, focusing on improvements and fixes for the preview future string data type ahead of pandas 3.0.

v2.3.11 fix1 feature

Jul 7, 2025

Pandas 2.3.1 is released, primarily containing improvements and fixes for the preview future string data type ahead of pandas 3.0.

v2.3.01 fix1 feature

Jun 5, 2025

Pandas 2.3.0 has been released, bringing new features, bug fixes, and performance improvements. Users are recommended to upgrade to this version.

Common Errors

NotImplementedError6 reports

The "NotImplementedError" in pandas arises when an operation is called on an object or data type for which that specific operation hasn't been defined. To resolve this, identify the specific method or operation causing the error (e.g., `__eq__`, `__truediv__`) and either implement the missing functionality for the relevant pandas object/data type, cast the data to a compatible type before the operation, or use a different pandas function that achieves the desired result.

OverflowError6 reports

This error typically occurs in pandas. Check the example issues for common solutions.

AssertionError5 reports

This error typically occurs in pandas. Check the example issues for common solutions.

KeyError3 reports

KeyError in pandas arises when trying to access a column or index label that doesn't exist in the DataFrame or Series. To fix this, double-check your column/index name for typos or incorrect casing, ensuring it exactly matches what's in your data. If slicing, ensure the slice range exists within the index or column names. Consider using `df.columns` or `df.index` to verify the available labels.

ArrowNotImplementedError3 reports

ArrowNotImplementedError in pandas arises when attempting operations with data types or functionalities not yet supported by the underlying pyarrow library when using `dtype="pyarrow"`. Solutions include: converting the pandas Series/DataFrame column to a compatible NumPy dtype (e.g., using `.astype("float64")` or `.astype("string")` if applicable before the operation, or avoiding `dtype="pyarrow"` where arrow functionality is incomplete. If support is expected or needed, ensure you're using the latest pyarrow version; otherwise, report the feature request to the pandas or pyarrow project.

UnicodeDecodeError2 reports

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