58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
import pytest
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from pandas import Series
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import pandas._testing as tm
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class TestSeriesUnaryOps:
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# __neg__, __pos__, __inv__
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def test_neg(self):
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ser = tm.makeStringSeries()
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ser.name = "series"
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tm.assert_series_equal(-ser, -1 * ser)
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def test_invert(self):
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ser = tm.makeStringSeries()
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ser.name = "series"
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tm.assert_series_equal(-(ser < 0), ~(ser < 0))
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@pytest.mark.parametrize(
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"source, target",
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[
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([1, 2, 3], [-1, -2, -3]),
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([1, 2, None], [-1, -2, None]),
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([-1, 0, 1], [1, 0, -1]),
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],
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)
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def test_unary_minus_nullable_int(
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self, any_signed_nullable_int_dtype, source, target
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):
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dtype = any_signed_nullable_int_dtype
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ser = Series(source, dtype=dtype)
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result = -ser
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expected = Series(target, dtype=dtype)
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tm.assert_series_equal(result, expected)
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@pytest.mark.parametrize("source", [[1, 2, 3], [1, 2, None], [-1, 0, 1]])
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def test_unary_plus_nullable_int(self, any_signed_nullable_int_dtype, source):
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dtype = any_signed_nullable_int_dtype
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expected = Series(source, dtype=dtype)
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result = +expected
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tm.assert_series_equal(result, expected)
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@pytest.mark.parametrize(
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"source, target",
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[
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([1, 2, 3], [1, 2, 3]),
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([1, -2, None], [1, 2, None]),
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([-1, 0, 1], [1, 0, 1]),
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],
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)
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def test_abs_nullable_int(self, any_signed_nullable_int_dtype, source, target):
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dtype = any_signed_nullable_int_dtype
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ser = Series(source, dtype=dtype)
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result = abs(ser)
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expected = Series(target, dtype=dtype)
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tm.assert_series_equal(result, expected)
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