id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
1084854762,I_kwDOAMm_X85AqZHq,6087,Computing 'seasonal means' spanning 4 months (with resample or groupy),2853966,closed,1,,,0,2021-12-20T14:27:20Z,2022-01-21T05:54:39Z,2022-01-21T05:54:39Z,NONE,,,,"Climatologists often use 'seasonal means', i.e. means over 3 months. Useful periods are DJF for December-January-February, MAM, JJA and SON. groupby or resample are nice functions to compute these seasonal means.

sea for example :
https://xarray.pydata.org/en/stable/examples/monthly-means.html
https://stackoverflow.com/questions/59234745/is-there-any-easy-way-to-compute-seasonal-mean-with-xarray

But some studies need means over 4 months : DJFM, MAMJ, JJAS and SOND. Would it be feasible that these 4-month periods are recognized by groupby and resample ?

For resample, we define 3-month means with a syntax like : resample(time='QS-DEC')

A resampling over 4 months is more tricky : it is not a real resampling, as some months are repeated. We still need 4 seasonal values ...

Thanks,

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