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@dsaxton dsaxton commented Apr 13, 2020

Follow up to #33513

cc @jreback

@pytest.mark.parametrize("function", ["min", "max"])
@pytest.mark.parametrize("skipna", [True, False])
def test_min_max_only_nan(self, function, skipna):
@pytest.mark.parametrize("box_in_series", [True, False])
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CategoricalIndex, DataFrame col?

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@jorisvandenbossche jorisvandenbossche Apr 13, 2020

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There are Series tests elsewhere for Categorical min/max, eg the previous PR that touched the Categorical.min/max implementation added the Series tests in reductions/test_reductions.py: 37526c1, so I would update the tests there instead of here in this file

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@jorisvandenbossche Do you mean do that instead of what I'm doing here, or rather that CategoricalIndex and DataFrame cases should be added to test_reductions.py instead of here?

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yes the point is to do these in test_reductions.py, adding a similiar missing categorical test there

@alimcmaster1 alimcmaster1 added the Testing pandas testing functions or related to the test suite label Apr 14, 2020
@jreback jreback added this to the 1.1 milestone Apr 17, 2020
@pytest.mark.parametrize("function", ["min", "max"])
@pytest.mark.parametrize("skipna", [True, False])
def test_min_max_only_nan(self, function, skipna):
@pytest.mark.parametrize("box_in_series", [True, False])
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yes the point is to do these in test_reductions.py, adding a similiar missing categorical test there

@jreback jreback merged commit 8282ee2 into pandas-dev:master Apr 21, 2020
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jreback commented Apr 21, 2020

thanks @dsaxton

@dsaxton dsaxton deleted the cat-tests branch April 21, 2020 18:32
rhshadrach pushed a commit to rhshadrach/pandas that referenced this pull request May 10, 2020
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5 participants