Python testing.set_timezone方法代码示例

# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import set_timezone [as 别名]
def test_normalize_tz_local(self, timezone):
        # GH#13459
        with tm.set_timezone(timezone):
            rng = date_range('1/1/2000 9:30', periods=10, freq='D',
                             tz=tzlocal())

            result = rng.normalize()
            expected = date_range('1/1/2000', periods=10, freq='D',
                                  tz=tzlocal())
            tm.assert_index_equal(result, expected)

            assert result.is_normalized
            assert not rng.is_normalized

    # ------------------------------------------------------------
    # DatetimeIndex.__new__ 

# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import set_timezone [as 别名]
def test_timestamp(self):
        # GH#17329
        # tz-naive --> treat it as if it were UTC for purposes of timestamp()
        ts = Timestamp.now()
        uts = ts.replace(tzinfo=utc)
        assert ts.timestamp() == uts.timestamp()

        tsc = Timestamp('2014-10-11 11:00:01.12345678', tz='US/Central')
        utsc = tsc.tz_convert('UTC')

        # utsc is a different representation of the same time
        assert tsc.timestamp() == utsc.timestamp()

        if PY3:
            # datetime.timestamp() converts in the local timezone
            with tm.set_timezone('UTC'):
                # should agree with datetime.timestamp method
                dt = ts.to_pydatetime()
                assert dt.timestamp() == ts.timestamp() 

# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import set_timezone [as 别名]
def test_to_datetime_now(self):
        # See GH#18666
        with tm.set_timezone('US/Eastern'):
            npnow = np.datetime64('now').astype('datetime64[ns]')
            pdnow = pd.to_datetime('now')
            pdnow2 = pd.to_datetime(['now'])[0]

            # These should all be equal with infinite perf; this gives
            # a generous margin of 10 seconds
            assert abs(pdnow.value - npnow.astype(np.int64)) < 1e10
            assert abs(pdnow2.value - npnow.astype(np.int64)) < 1e10

            assert pdnow.tzinfo is None
            assert pdnow2.tzinfo is None 

# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import set_timezone [as 别名]
def test_to_datetime_today(self):
        # See GH#18666
        # Test with one timezone far ahead of UTC and another far behind, so
        # one of these will _almost_ alawys be in a different day from UTC.
        # Unfortunately this test between 12 and 1 AM Samoa time
        # this both of these timezones _and_ UTC will all be in the same day,
        # so this test will not detect the regression introduced in #18666.
        with tm.set_timezone('Pacific/Auckland'):  # 12-13 hours ahead of UTC
            nptoday = np.datetime64('today')\
                .astype('datetime64[ns]').astype(np.int64)
            pdtoday = pd.to_datetime('today')
            pdtoday2 = pd.to_datetime(['today'])[0]

            tstoday = pd.Timestamp('today')
            tstoday2 = pd.Timestamp.today()

            # These should all be equal with infinite perf; this gives
            # a generous margin of 10 seconds
            assert abs(pdtoday.normalize().value - nptoday) < 1e10
            assert abs(pdtoday2.normalize().value - nptoday) < 1e10
            assert abs(pdtoday.value - tstoday.value) < 1e10
            assert abs(pdtoday.value - tstoday2.value) < 1e10

            assert pdtoday.tzinfo is None
            assert pdtoday2.tzinfo is None

        with tm.set_timezone('US/Samoa'):  # 11 hours behind UTC
            nptoday = np.datetime64('today')\
                .astype('datetime64[ns]').astype(np.int64)
            pdtoday = pd.to_datetime('today')
            pdtoday2 = pd.to_datetime(['today'])[0]

            # These should all be equal with infinite perf; this gives
            # a generous margin of 10 seconds
            assert abs(pdtoday.normalize().value - nptoday) < 1e10
            assert abs(pdtoday2.normalize().value - nptoday) < 1e10

            assert pdtoday.tzinfo is None
            assert pdtoday2.tzinfo is None 

# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import set_timezone [as 别名]
def test_replace_tzinfo(self):
        # GH#15683
        dt = datetime(2016, 3, 27, 1)
        tzinfo = pytz.timezone('CET').localize(dt, is_dst=False).tzinfo

        result_dt = dt.replace(tzinfo=tzinfo)
        result_pd = Timestamp(dt).replace(tzinfo=tzinfo)

        if PY3:
            # datetime.timestamp() converts in the local timezone
            with tm.set_timezone('UTC'):
                assert result_dt.timestamp() == result_pd.timestamp()

        assert result_dt == result_pd
        assert result_dt == result_pd.to_pydatetime()

        result_dt = dt.replace(tzinfo=tzinfo).replace(tzinfo=None)
        result_pd = Timestamp(dt).replace(tzinfo=tzinfo).replace(tzinfo=None)

        if PY3:
            # datetime.timestamp() converts in the local timezone
            with tm.set_timezone('UTC'):
                assert result_dt.timestamp() == result_pd.timestamp()

        assert result_dt == result_pd
        assert result_dt == result_pd.to_pydatetime()