Doc: Added cookbook regarding use of Decay-Weighted Rolling Aggregati… #63884
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…ons for Irregular Time This pull request adds a cookbook example showing how to compute time-distance (decay-weighted) rolling aggregations using existing pandas functionality. The example demonstrates how to apply exponential time decay within a time-based rolling window, how to handle irregularly spaced data, and how to deal with duplicate timestamps by aggregating them beforehand. This approach follows the discussion in the linked issue, where documenting this pattern as a cookbook-style idiom was agreed to be the most appropriate next step rather than introducing new API surface. Closes pandas-dev#63551
rhshadrach
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Jan 27, 2026
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Thanks for the PR! Looks like the docs build is failing.
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@rhshadrach Thanks for your suggestions, I tried adjusting with the recommended changes , just wanted to get clarity on blog do you want that part to be completely removed or it is that Google Docs is not allowed. |
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It isn't Google Docs specifically, but any storage location that is controlled by one person. We should restrict linking to "official" locations - docs of popular projects, StackOverflow, Wikipedia, etc. |
Co-authored-by: Richard Shadrach <45562402+rhshadrach@users.noreply.github.com>
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This pull request adds a cookbook example showing how to compute time-distance (decay-weighted) rolling aggregations using existing pandas functionality. The example demonstrates how to apply exponential time decay within a time-based rolling window, how to handle irregularly spaced data, and how to deal with duplicate timestamps by aggregating them beforehand.
This approach follows the discussion in the linked issue, where documenting this pattern as a cookbook-style idiom was agreed to be the most appropriate next step rather than introducing new API surface.
Closes #63551