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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
|
|
