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BUG: min/max on empty categorical fails #30227

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Merged
merged 16 commits into from
Dec 17, 2019
Merged

BUG: min/max on empty categorical fails #30227

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5db7e01
TST: Add failing test for min/max on empty categorical.
Dec 12, 2019
9c36841
BUG: min/max on empty categorical crashed
Dec 12, 2019
4d5df3a
DOC: Added whatsnew.
Dec 12, 2019
d788332
CLN: Black test_reductions.
Dec 12, 2019
3ec816c
Added .. versionchanged and correct NA value for dtype.
Dec 12, 2019
51f21d5
DOC: Add issue number to whatsnew.
Dec 12, 2019
8dee71e
CLN: Cleaner empty checks.
Dec 12, 2019
c3f0d77
CLN: Move and clean up test_min_max_empty.
Dec 12, 2019
f0efeeb
DOC: Add issue number comment to test.
Dec 12, 2019
1888238
TST: Parametrize test case on different categorical dtypes.
Dec 12, 2019
c74b8d0
TST: Split and rename tests.
Dec 12, 2019
34ad68d
TST; Fix test on datetime categorical.
Dec 16, 2019
d8346ee
CLN: Fixed unused import.
Dec 16, 2019
4dca2d9
CLN: Parametrize tests over min,max
Dec 16, 2019
38bab51
CLN: Remove unused import.
Dec 16, 2019
890b278
TST: xfail datetime categorical tests.
Dec 17, 2019
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CLN: Parametrize tests over min,max
  • Loading branch information
Oliver Hofkens committed Dec 16, 2019
commit 4dca2d94e5c49f67998933e1d57821656aedccef
20 changes: 10 additions & 10 deletions pandas/tests/arrays/categorical/test_analytics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,14 +11,15 @@


class TestCategoricalAnalytics:
def test_min_max_not_ordered(self):
@pytest.mark.parametrize("aggregation", ["min", "max"])
def test_min_max_not_ordered_raises(self, aggregation):
# unordered cats have no min/max
cat = Categorical(["a", "b", "c", "d"], ordered=False)
msg = "Categorical is not ordered for operation {}"
with pytest.raises(TypeError, match=msg.format("min")):
cat.min()
with pytest.raises(TypeError, match=msg.format("max")):
cat.max()
agg_func = getattr(cat, aggregation)

with pytest.raises(TypeError, match=msg.format(aggregation)):
agg_func()

def test_min_max_ordered(self):
cat = Categorical(["a", "b", "c", "d"], ordered=True)
Expand All @@ -43,14 +44,13 @@ def test_min_max_ordered(self):
(Series(date_range("2020-01-01", periods=3), dtype="category"), np.NaN),
],
)
def test_min_max_ordered_empty(self, categories, expected):
@pytest.mark.parametrize("aggregation", ["min", "max"])
def test_min_max_ordered_empty(self, categories, expected, aggregation):
# GH 30227
cat = Categorical([], categories=list("ABC"), ordered=True)

result = cat.min()
assert result is expected

result = cat.max()
agg_func = getattr(cat, aggregation)
result = agg_func()
assert result is expected

@pytest.mark.parametrize("skipna", [True, False])
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