pull_requests: 1626560539
This data as json
| id | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1626560539 | PR_kwDOAMm_X85g81gb | 8509 | open | 0 | Proof of concept - public Grouper objects | 2448579 | Not for merging, just proof that it can be done nicely :) Now builds on #8840 ~Builds on an older version of #8507~ Try it out! ```python import xarray as xr from xarray.core.groupers import SeasonGrouper, SeasonResampler ds = xr.tutorial.open_dataset("air_temperature") # custom seasons! ds.air.groupby(time=SeasonGrouper(["JF", "MAM", "JJAS", "OND"])).mean() ds.air.resample(time=SeasonResampler(["DJF", "MAM", "JJAS", "ON"])).count() ``` | 2023-12-02T04:52:27Z | 2024-03-15T05:18:18Z | 2eafc7993f603a7a8cf03edf70100e089a5775e7 | 1 | 467d1e02da19d1c73213a7de05583abaa43a3e08 | c9d3084e98d38a7a9488380789a8d0acfde3256f | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/8509 |
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