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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
| )
|
|
