42 lines
1.0 KiB
Python
42 lines
1.0 KiB
Python
import numpy as np
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import pytest
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from pandas import Series
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from pandas.core.construction import create_series_with_explicit_dtype
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@pytest.mark.parametrize(
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"data, expected",
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[
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(np.random.randint(0, 10, size=1000), False),
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(np.arange(1000), True),
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([], True),
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([np.nan], True),
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(["foo", "bar", np.nan], True),
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(["foo", "foo", np.nan], False),
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(["foo", "bar", np.nan, np.nan], False),
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],
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)
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def test_is_unique(data, expected):
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# GH#11946 / GH#25180
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ser = create_series_with_explicit_dtype(data, dtype_if_empty=object)
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assert ser.is_unique is expected
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def test_is_unique_class_ne(capsys):
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# GH#20661
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class Foo:
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def __init__(self, val):
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self._value = val
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def __ne__(self, other):
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raise Exception("NEQ not supported")
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with capsys.disabled():
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li = [Foo(i) for i in range(5)]
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ser = Series(li, index=list(range(5)))
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ser.is_unique
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captured = capsys.readouterr()
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assert len(captured.err) == 0
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