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@dsaxton dsaxton commented Feb 16, 2020

Some more parameterizing / splitting up of tests

@pytest.mark.parametrize("dtype", ["M8[ns]", "datetime64[ns, UTC]"])
def test_nanops_empty_object(self, opname, index_or_series, dtype):
klass = index_or_series
arg_op = "arg" + opname if klass is Index else "idx" + opname
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why is this needed?

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I broke this into its own test since it allows for parametrizing over these dtypes without repeating all of test_nanops (which was / is pretty big), and this was conceptually a bit more specific than just "testing nanops"

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i get that, but why is arg_op specifically needed? what is its purpose

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Oh, I think the name of the method being tested changes if it's a Series or Index (idxmin or argmin) so it has to be created dynamically in the test?

@jreback jreback added Refactor Internal refactoring of code Testing pandas testing functions or related to the test suite labels Feb 16, 2020
@jreback jreback added this to the 1.1 milestone Feb 17, 2020
@jreback jreback merged commit 3b4b86b into pandas-dev:master Feb 17, 2020
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jreback commented Feb 17, 2020

thanks @dsaxton

@dsaxton dsaxton deleted the clean-reduce-test branch February 17, 2020 20:05
roberthdevries pushed a commit to roberthdevries/pandas that referenced this pull request Mar 2, 2020
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