Python offsets.Nano方法代码示例

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_Nanosecond():
    timestamp = Timestamp(datetime(2010, 1, 1))
    assert_offset_equal(Nano(),
                        timestamp,
                        timestamp + np.timedelta64(1, 'ns'))
    assert_offset_equal(Nano(-1),
                        timestamp + np.timedelta64(1, 'ns'),
                        timestamp)
    assert_offset_equal(2 * Nano(),
                        timestamp,
                        timestamp + np.timedelta64(2, 'ns'))
    assert_offset_equal(-1 * Nano(),
                        timestamp + np.timedelta64(1, 'ns'),
                        timestamp)

    assert Nano(3) + Nano(2) == Nano(5)
    assert Nano(3) - Nano(2) == Nano()

    # GH9284
    assert Nano(1) + Nano(10) == Nano(11)
    assert Nano(5) + Micro(1) == Nano(1005)
    assert Micro(5) + Nano(1) == Nano(5001) 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_tick_division(cls):
    off = cls(10)

    assert off / cls(5) == 2
    assert off / 2 == cls(5)
    assert off / 2.0 == cls(5)

    assert off / off.delta == 1
    assert off / off.delta.to_timedelta64() == 1

    assert off / Nano(1) == off.delta / Nano(1).delta

    if cls is not Nano:
        # A case where we end up with a smaller class
        result = off / 1000
        assert isinstance(result, offsets.Tick)
        assert not isinstance(result, cls)
        assert result.delta == off.delta / 1000

    if cls._inc < Timedelta(seconds=1):
        # Case where we end up with a bigger class
        result = off / .001
        assert isinstance(result, offsets.Tick)
        assert not isinstance(result, cls)
        assert result.delta == off.delta / .001 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_tz(self):
        tstr = '2014-02-01 09:00'
        ts = Timestamp(tstr)
        local = ts.tz_localize('Asia/Tokyo')
        assert local.hour == 9
        assert local == Timestamp(tstr, tz='Asia/Tokyo')
        conv = local.tz_convert('US/Eastern')
        assert conv == Timestamp('2014-01-31 19:00', tz='US/Eastern')
        assert conv.hour == 19

        # preserves nanosecond
        ts = Timestamp(tstr) + offsets.Nano(5)
        local = ts.tz_localize('Asia/Tokyo')
        assert local.hour == 9
        assert local.nanosecond == 5
        conv = local.tz_convert('US/Eastern')
        assert conv.nanosecond == 5
        assert conv.hour == 19 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def _adjust_bin_edges(self, binner, ax_values):
        # Some hacks for > daily data, see #1471, #1458, #1483

        if self.freq != 'D' and is_superperiod(self.freq, 'D'):
            if self.closed == 'right':
                # GH 21459, GH 9119: Adjust the bins relative to the wall time
                bin_edges = binner.tz_localize(None)
                bin_edges = bin_edges + timedelta(1) - Nano(1)
                bin_edges = bin_edges.tz_localize(binner.tz).asi8
            else:
                bin_edges = binner.asi8

            # intraday values on last day
            if bin_edges[-2] > ax_values.max():
                bin_edges = bin_edges[:-1]
                binner = binner[:-1]
        else:
            bin_edges = binner.asi8
        return binner, bin_edges 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_is_superperiod_subperiod():

    # input validation
    assert not (is_superperiod(offsets.YearEnd(), None))
    assert not (is_subperiod(offsets.MonthEnd(), None))
    assert not (is_superperiod(None, offsets.YearEnd()))
    assert not (is_subperiod(None, offsets.MonthEnd()))
    assert not (is_superperiod(None, None))
    assert not (is_subperiod(None, None))

    assert (is_superperiod(offsets.YearEnd(), offsets.MonthEnd()))
    assert (is_subperiod(offsets.MonthEnd(), offsets.YearEnd()))

    assert (is_superperiod(offsets.Hour(), offsets.Minute()))
    assert (is_subperiod(offsets.Minute(), offsets.Hour()))

    assert (is_superperiod(offsets.Second(), offsets.Milli()))
    assert (is_subperiod(offsets.Milli(), offsets.Second()))

    assert (is_superperiod(offsets.Milli(), offsets.Micro()))
    assert (is_subperiod(offsets.Micro(), offsets.Milli()))

    assert (is_superperiod(offsets.Micro(), offsets.Nano()))
    assert (is_subperiod(offsets.Nano(), offsets.Micro())) 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_is_superperiod_subperiod():

    # input validation
    assert not (frequencies.is_superperiod(offsets.YearEnd(), None))
    assert not (frequencies.is_subperiod(offsets.MonthEnd(), None))
    assert not (frequencies.is_superperiod(None, offsets.YearEnd()))
    assert not (frequencies.is_subperiod(None, offsets.MonthEnd()))
    assert not (frequencies.is_superperiod(None, None))
    assert not (frequencies.is_subperiod(None, None))

    assert (frequencies.is_superperiod(offsets.YearEnd(), offsets.MonthEnd()))
    assert (frequencies.is_subperiod(offsets.MonthEnd(), offsets.YearEnd()))

    assert (frequencies.is_superperiod(offsets.Hour(), offsets.Minute()))
    assert (frequencies.is_subperiod(offsets.Minute(), offsets.Hour()))

    assert (frequencies.is_superperiod(offsets.Second(), offsets.Milli()))
    assert (frequencies.is_subperiod(offsets.Milli(), offsets.Second()))

    assert (frequencies.is_superperiod(offsets.Milli(), offsets.Micro()))
    assert (frequencies.is_subperiod(offsets.Micro(), offsets.Milli()))

    assert (frequencies.is_superperiod(offsets.Micro(), offsets.Nano()))
    assert (frequencies.is_subperiod(offsets.Nano(), offsets.Micro())) 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_tz(self):
        t = '2014-02-01 09:00'
        ts = Timestamp(t)
        local = ts.tz_localize('Asia/Tokyo')
        assert local.hour == 9
        assert local == Timestamp(t, tz='Asia/Tokyo')
        conv = local.tz_convert('US/Eastern')
        assert conv == Timestamp('2014-01-31 19:00', tz='US/Eastern')
        assert conv.hour == 19

        # preserves nanosecond
        ts = Timestamp(t) + offsets.Nano(5)
        local = ts.tz_localize('Asia/Tokyo')
        assert local.hour == 9
        assert local.nanosecond == 5
        conv = local.tz_convert('US/Eastern')
        assert conv.nanosecond == 5
        assert conv.hour == 19 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_qcut_nat(ser):
    # see gh-19768
    intervals = IntervalIndex.from_tuples([
        (ser[0] - Nano(), ser[2] - Day()),
        np.nan, (ser[2] - Day(), ser[2])])
    expected = Series(Categorical(intervals, ordered=True))

    result = qcut(ser, 2)
    tm.assert_series_equal(result, expected) 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_delta_to_tick():
    delta = timedelta(3)

    tick = offsets._delta_to_tick(delta)
    assert (tick == offsets.Day(3))

    td = Timedelta(nanoseconds=5)
    tick = offsets._delta_to_tick(td)
    assert tick == Nano(5) 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_NanosecondGeneric():
    timestamp = Timestamp(datetime(2010, 1, 1))
    assert timestamp.nanosecond == 0

    result = timestamp + Nano(10)
    assert result.nanosecond == 10

    reverse_result = Nano(10) + timestamp
    assert reverse_result.nanosecond == 10 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_nanosecond_timestamp(self):
        # GH 7610
        expected = 1293840000000000005
        t = Timestamp('2011-01-01') + offsets.Nano(5)
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
        assert t.value == expected
        assert t.nanosecond == 5

        t = Timestamp(t)
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
        assert t.value == expected
        assert t.nanosecond == 5

        t = Timestamp(np_datetime64_compat('2011-01-01 00:00:00.000000005Z'))
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
        assert t.value == expected
        assert t.nanosecond == 5

        expected = 1293840000000000010
        t = t + offsets.Nano(5)
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
        assert t.value == expected
        assert t.nanosecond == 10

        t = Timestamp(t)
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
        assert t.value == expected
        assert t.nanosecond == 10

        t = Timestamp(np_datetime64_compat('2011-01-01 00:00:00.000000010Z'))
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
        assert t.value == expected
        assert t.nanosecond == 10 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_qcut_nat(self, s):
        # GH 19768
        intervals = IntervalIndex.from_tuples(
            [(s[0] - Nano(), s[2] - Day()), np.nan, (s[2] - Day(), s[2])])
        expected = Series(Categorical(intervals, ordered=True))
        result = qcut(s, 2)
        tm.assert_series_equal(result, expected) 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Nano [as 别名]
def test_tick_zero(cls1, cls2):
    assert cls1(0) == cls2(0)
    assert cls1(0) + cls2(0) == cls1(0)

    if cls1 is not Nano:
        assert cls1(2) + cls2(0) == cls1(2)

    if cls1 is Nano:
        assert cls1(2) + Nano(0) == cls1(2)