The pandas team is pleased to announce the release of pandas 1.4.0.

You can install it via pip install pandas or mamba install pandas.

Full release notes are available at: https://pandas.pydata.org/pandas-docs/version/1.4/whatsnew/v1.4.0.html

Work has started to support non-nanosecond resultion dates in pandas.

Currently, pandas can represent dates around the year interval 1680 ~ 2260. An exception is raised if dates outside of this range are used.

When the new changes are released (probably at the end of this year), pandas will be able to represent billions of years from now into the past or the future, with a precision of seconds.

We just released pandas 1.4.2 a bug fix release of the 1.4 series. We recommend all users using pandas 1.4 to upgrade.

It can be installed via pip and from conda-forge.

Full release notes available here.

pandas is now in Open Collective, where you can see the project finances. Expenses and more details are still being added, but the main sources of income of the project are already available.

You will also find in Open Collective the rest of NumFOCUS supported projects, such as Jupyter, SciPy, etc.