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Use flox for grouped first, last. #10148

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merged 9 commits into from
Mar 19, 2025
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@dcherian dcherian commented Mar 19, 2025

Undo the revert in #10001

dcherian and others added 9 commits January 25, 2025 14:03
1. Use flox where possible.
2. Use simple indexing where possible.

Closes pydata#9647
* main: (67 commits)
  Refactor datetime and timedelta encoding for increased robustness (pydata#9498)
  Fix test_distributed::test_async (pydata#10138)
  Refactor concat / combine / merge into `xarray/structure` (pydata#10134)
  Split `apply_ufunc` out of `computation.py` (pydata#10133)
  Refactor modules from `core` into `xarray.computation` (pydata#10132)
  Refactor compatibility modules into xarray.compat package (pydata#10131)
  Fix type issues from pandas stubs (pydata#10128)
  Don't skip tests when on a `mypy` branch (pydata#10129)
  Change `python_files` in `pyproject.toml` to a list (pydata#10127)
  Better `uv` compatibility (pydata#10124)
  explicitly cast the dtype of `where`'s condition parameter to `bool` (pydata#10087)
  Use `to_numpy` in time decoding (pydata#10081)
  Pin pandas stubs (pydata#10119)
  Fix broken Zarr test (pydata#10109)
  Update asv badge url in README.md (pydata#10113)
  fix and supress some test warnings (pydata#10104)
  Improve handling of dtype and NaT when encoding/decoding masked and packaged datetimes and timedeltas (pydata#10050)
  Ensure KeyError raised for zarr datasets missing dim names (pydata#10025)
  Add typos check to pre-commit hooks (pydata#10040)
  Bump codecov/codecov-action from 5.3.1 to 5.4.0 in the actions group (pydata#10090)
  ...
@dcherian dcherian requested a review from max-sixty March 19, 2025 02:32
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Awesome!

@dcherian dcherian merged commit 2da7f55 into pydata:main Mar 19, 2025
29 of 31 checks passed
@dcherian dcherian deleted the flox-first-last branch March 19, 2025 14:48
dcherian added a commit to dcherian/xarray that referenced this pull request Mar 20, 2025
* main:
  Refactoring/fixing zarr-python v3 incompatibilities in xarray datatrees (pydata#10020)
  Refactor calendar fixtures (pydata#10150)
  Use flox for grouped first, last. (pydata#10148)
  Update flaky pydap test (pydata#10149)
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Could we defer to flox for GroupBy.first?
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