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1 row where "created_at" is on date 2023-12-02, state = "open" and user = 2448579 sorted by updated_at descending
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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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2021856935 | PR_kwDOAMm_X85g81gb | 8509 | Proof of concept - public Grouper objects | dcherian 2448579 | open | 0 | 0 | 2023-12-02T04:52:27Z | 2024-03-15T05:18:18Z | MEMBER | 1 | pydata/xarray/pulls/8509 | 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() ``` |
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xarray 13221727 | pull |
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