> For the complete documentation index, see [llms.txt](https://docs.trymito.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.trymito.io/misc/release-notes/december-12-2022-group-dates-in-pivot-tables-reduced-dependencies.md).
# December 12, 2022: Group Dates in Pivot Tables, Reduced Dependencies
## Group Dates within Pivot Tables
Pivot tables now have better support for aggregation within time periods. If you use a `datetime` column in the Rows or Columns section of a pivot table, you can now group based on the year, month, day of week, and much more. If you're analyzing time-based data in Python, Mito takes turns 20 lines of code into a few clicks!
Using a time bucket in a pivot table to ignore the days of the month in an aggregation.
## Reduced Dependencies
We've removed the `ipywidgets` and `jupyterlab_widgets` Python packages as dependencies from Mito. This makes Mito installable on more systems, and should reduce installation errors for new users as well.
If you notice any issues with installation or upgrading, please do reach out!
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