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xfail in more specific circumstance

  • closes Flaky xfail on master #28011
  • tests added / passed
  • passes black pandas
  • passes git diff upstream/master -u -- "*.py" | flake8 --diff
  • whatsnew entry

input1 = np.array([1, 2, 3, 3], dtype=np.dtype(dtype))
tc1 = Series(Categorical(input1, categories=cat_array, ordered=ordered_fixture))
if dtype == "datetime64[D]":
# pre-empty flaky xfail, tc1 values are seemingly-random
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Huh, I can't say that I understand why this would be.

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in _recode_for_categories we're going through an ensure_object path and problems crop up around then. I'm not sure exactly why, but I think the solution will involve casting from datetime64[D] to datetime64[ns] without going through object

@TomAugspurger TomAugspurger added this to the 0.25.1 milestone Aug 19, 2019
@TomAugspurger TomAugspurger added the Unreliable Test Unit tests that occasionally fail label Aug 19, 2019
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SGTM. #27715 was backported, so we'll backport this as well.

@TomAugspurger TomAugspurger merged commit a4b0132 into pandas-dev:master Aug 19, 2019
meeseeksmachine pushed a commit to meeseeksmachine/pandas that referenced this pull request Aug 19, 2019
@jbrockmendel jbrockmendel deleted the flaky branch August 19, 2019 18:41
EunSeop pushed a commit to EunSeop/pandas that referenced this pull request Aug 20, 2019
galuhsahid pushed a commit to galuhsahid/pandas that referenced this pull request Aug 25, 2019
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Flaky xfail on master

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