Post #2934461
2026-03-07 07:23 UTC
As far as I can understand, dendrochronology libraries like dplPy https://opendendro.org/python/ treat years as simple integers, even if they're working with pandas DataFrames. This is quite frustrating.
Replies (1)
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@joeroe@archaeo.social 2026-03-07 07:33
@steko@scholar.social Well it's not Python but my approach with https://era.joeroe.io was to treat years as real numbers measuring the length of time elapsed since an event, with an explicit 'reference system' defining the conversion to a calendar (e.g. length of a year, epoch considered the present).