issues: 1084854762
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| 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 |
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| 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, Olivier |
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completed | 13221727 | issue |