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- import numpy as np
- import pytest
- from pandas import Series
- @pytest.mark.parametrize(
- "data, expected",
- [
- (np.random.randint(0, 10, size=1000), False),
- (np.arange(1000), True),
- ([], True),
- ([np.nan], True),
- (["foo", "bar", np.nan], True),
- (["foo", "foo", np.nan], False),
- (["foo", "bar", np.nan, np.nan], False),
- ],
- )
- def test_is_unique(data, expected):
- # GH#11946 / GH#25180
- ser = Series(data)
- assert ser.is_unique is expected
- def test_is_unique_class_ne(capsys):
- # GH#20661
- class Foo:
- def __init__(self, val) -> None:
- self._value = val
- def __ne__(self, other):
- raise Exception("NEQ not supported")
- with capsys.disabled():
- li = [Foo(i) for i in range(5)]
- ser = Series(li, index=list(range(5)))
- ser.is_unique
- captured = capsys.readouterr()
- assert len(captured.err) == 0
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