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- import numpy as np
- import pytest
- from pandas import (
- IntervalIndex,
- Series,
- period_range,
- )
- import pandas._testing as tm
- class TestValues:
- @pytest.mark.parametrize(
- "data",
- [
- period_range("2000", periods=4),
- IntervalIndex.from_breaks([1, 2, 3, 4]),
- ],
- )
- def test_values_object_extension_dtypes(self, data):
- # https://github.com/pandas-dev/pandas/issues/23995
- result = Series(data).values
- expected = np.array(data.astype(object))
- tm.assert_numpy_array_equal(result, expected)
- def test_values(self, datetime_series):
- tm.assert_almost_equal(
- datetime_series.values, datetime_series, check_dtype=False
- )
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