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| import numpy as np
| import pytest
|
| from pandas import (
| Index,
| Series,
| array,
| date_range,
| )
| import pandas._testing as tm
|
|
| class TestView:
| def test_view_i8_to_datetimelike(self):
| dti = date_range("2000", periods=4, tz="US/Central")
| ser = Series(dti.asi8)
|
| result = ser.view(dti.dtype)
| tm.assert_datetime_array_equal(result._values, dti._data._with_freq(None))
|
| pi = dti.tz_localize(None).to_period("D")
| ser = Series(pi.asi8)
| result = ser.view(pi.dtype)
| tm.assert_period_array_equal(result._values, pi._data)
|
| def test_view_tz(self):
| # GH#24024
| ser = Series(date_range("2000", periods=4, tz="US/Central"))
| result = ser.view("i8")
| expected = Series(
| [
| 946706400000000000,
| 946792800000000000,
| 946879200000000000,
| 946965600000000000,
| ]
| )
| tm.assert_series_equal(result, expected)
|
| @pytest.mark.parametrize(
| "first", ["m8[ns]", "M8[ns]", "M8[ns, US/Central]", "period[D]"]
| )
| @pytest.mark.parametrize(
| "second", ["m8[ns]", "M8[ns]", "M8[ns, US/Central]", "period[D]"]
| )
| @pytest.mark.parametrize("box", [Series, Index, array])
| def test_view_between_datetimelike(self, first, second, box):
| dti = date_range("2016-01-01", periods=3)
|
| orig = box(dti)
| obj = orig.view(first)
| assert obj.dtype == first
| tm.assert_numpy_array_equal(np.asarray(obj.view("i8")), dti.asi8)
|
| res = obj.view(second)
| assert res.dtype == second
| tm.assert_numpy_array_equal(np.asarray(obj.view("i8")), dti.asi8)
|
|
