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[test-upstream] fix pd skipna=None #5899

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merged 1 commit into from
Oct 28, 2021
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mathause
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pandas will disallow skipna=None (pandas-dev/pandas#44178) - this fixes a test which relies on this. I don't think we have any user facing use of this. AFAIK we don't use pandas for reductions anywhere)

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github-actions bot commented Oct 26, 2021

Unit Test Results

         6 files           6 suites   57m 45s ⏱️
16 209 tests 14 473 ✔️ 1 736 💤 0
90 450 runs  82 270 ✔️ 8 180 💤 0

Results for commit 2896fa9.

♻️ This comment has been updated with latest results.

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Thanks @mathause

@dcherian dcherian merged commit c210f8b into pydata:main Oct 28, 2021
@mathause mathause deleted the fix_pd_skipna_none branch October 28, 2021 11:54
dcherian added a commit to dcherian/xarray that referenced this pull request Oct 29, 2021
* main:
  Add typing_extensions as a required dependency (pydata#5911)
  pydata#5740 follow up: supress xr.ufunc warnings in tests (pydata#5914)
  Avoid accessing slow .data in unstack (pydata#5906)
  Add wradlib to ecosystem in docs (pydata#5915)
  Use .to_numpy() for quantified facetgrids (pydata#5886)
  [test-upstream] fix pd skipna=None (pydata#5899)
  Add var and std to weighted computations (pydata#5870)
  Check for path-like objects rather than Path type, use os.fspath (pydata#5879)
  Handle single `PathLike` objects in `open_mfdataset()` (pydata#5884)
dcherian added a commit to dcherian/xarray that referenced this pull request Oct 29, 2021
* upstream/main:
  Add typing_extensions as a required dependency (pydata#5911)
  pydata#5740 follow up: supress xr.ufunc warnings in tests (pydata#5914)
  Avoid accessing slow .data in unstack (pydata#5906)
  Add wradlib to ecosystem in docs (pydata#5915)
  Use .to_numpy() for quantified facetgrids (pydata#5886)
  [test-upstream] fix pd skipna=None (pydata#5899)
  Add var and std to weighted computations (pydata#5870)
snowman2 pushed a commit to snowman2/xarray that referenced this pull request Feb 9, 2022
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