Python offsets.Second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 Second [as 别名]
def test_Second():
    assert_offset_equal(Second(),
                        datetime(2010, 1, 1),
                        datetime(2010, 1, 1, 0, 0, 1))
    assert_offset_equal(Second(-1),
                        datetime(2010, 1, 1, 0, 0, 1),
                        datetime(2010, 1, 1))
    assert_offset_equal(2 * Second(),
                        datetime(2010, 1, 1),
                        datetime(2010, 1, 1, 0, 0, 2))
    assert_offset_equal(-1 * Second(),
                        datetime(2010, 1, 1, 0, 0, 1),
                        datetime(2010, 1, 1))

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

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

        expected = to_timedelta(np.arange(5), unit='D')
        result = timedelta_range('0 days', periods=5, freq='D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta(np.arange(11), unit='D')
        result = timedelta_range('0 days', '10 days', freq='D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta(np.arange(5), unit='D') + Second(2) + Day()
        result = timedelta_range('1 days, 00:00:02', '5 days, 00:00:02',
                                 freq='D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta([1, 3, 5, 7, 9], unit='D') + Second(2)
        result = timedelta_range('1 days, 00:00:02', periods=5, freq='2D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta(np.arange(50), unit='T') * 30
        result = timedelta_range('0 days', freq='30T', periods=50)
        tm.assert_index_equal(result, expected)

        # GH 11776
        arr = np.arange(10).reshape(2, 5)
        df = pd.DataFrame(np.arange(10).reshape(2, 5))
        for arg in (arr, df):
            with pytest.raises(TypeError, match="1-d array"):
                to_timedelta(arg)
            for errors in ['ignore', 'raise', 'coerce']:
                with pytest.raises(TypeError, match="1-d array"):
                    to_timedelta(arg, errors=errors)

        # issue10583
        df = pd.DataFrame(np.random.normal(size=(10, 4)))
        df.index = pd.timedelta_range(start='0s', periods=10, freq='s')
        expected = df.loc[pd.Timedelta('0s'):, :]
        result = df.loc['0s':, :]
        tm.assert_frame_equal(expected, result) 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Second [as 别名]
def test_resolution(self):
        def _assert_less(ts1, ts2):
            val1 = self.dtc.convert(ts1, None, None)
            val2 = self.dtc.convert(ts2, None, None)
            if not val1 < val2:
                raise AssertionError('{0} is not less than {1}.'.format(val1,
                                                                        val2))

        # Matplotlib's time representation using floats cannot distinguish
        # intervals smaller than ~10 microsecond in the common range of years.
        ts = Timestamp('2012-1-1')
        _assert_less(ts, ts + Second())
        _assert_less(ts, ts + Milli())
        _assert_less(ts, ts + Micro(50)) 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Second [as 别名]
def test_to_offset_pd_timedelta(self):
        # Tests for #9064
        td = Timedelta(days=1, seconds=1)
        result = frequencies.to_offset(td)
        expected = offsets.Second(86401)
        assert (expected == result)

        td = Timedelta(days=-1, seconds=1)
        result = frequencies.to_offset(td)
        expected = offsets.Second(-86399)
        assert (expected == result)

        td = Timedelta(hours=1, minutes=10)
        result = frequencies.to_offset(td)
        expected = offsets.Minute(70)
        assert (expected == result)

        td = Timedelta(hours=1, minutes=-10)
        result = frequencies.to_offset(td)
        expected = offsets.Minute(50)
        assert (expected == result)

        td = Timedelta(weeks=1)
        result = frequencies.to_offset(td)
        expected = offsets.Day(7)
        assert (expected == result)

        td1 = Timedelta(hours=1)
        result1 = frequencies.to_offset(td1)
        result2 = frequencies.to_offset('60min')
        assert (result1 == result2)

        td = Timedelta(microseconds=1)
        result = frequencies.to_offset(td)
        expected = offsets.Micro(1)
        assert (expected == result)

        td = Timedelta(microseconds=0)
        pytest.raises(ValueError, lambda: frequencies.to_offset(td)) 

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

        expected = to_timedelta(np.arange(5), unit='D')
        result = timedelta_range('0 days', periods=5, freq='D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta(np.arange(11), unit='D')
        result = timedelta_range('0 days', '10 days', freq='D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta(np.arange(5), unit='D') + Second(2) + Day()
        result = timedelta_range('1 days, 00:00:02', '5 days, 00:00:02',
                                 freq='D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta([1, 3, 5, 7, 9], unit='D') + Second(2)
        result = timedelta_range('1 days, 00:00:02', periods=5, freq='2D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta(np.arange(50), unit='T') * 30
        result = timedelta_range('0 days', freq='30T', periods=50)
        tm.assert_index_equal(result, expected)

        # GH 11776
        arr = np.arange(10).reshape(2, 5)
        df = pd.DataFrame(np.arange(10).reshape(2, 5))
        for arg in (arr, df):
            with tm.assert_raises_regex(TypeError, "1-d array"):
                to_timedelta(arg)
            for errors in ['ignore', 'raise', 'coerce']:
                with tm.assert_raises_regex(TypeError, "1-d array"):
                    to_timedelta(arg, errors=errors)

        # issue10583
        df = pd.DataFrame(np.random.normal(size=(10, 4)))
        df.index = pd.timedelta_range(start='0s', periods=10, freq='s')
        expected = df.loc[pd.Timedelta('0s'):, :]
        result = df.loc['0s':, :]
        tm.assert_frame_equal(expected, result) 

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

        expected = to_timedelta(np.arange(5), unit='D')
        result = timedelta_range('0 days', periods=5, freq='D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta(np.arange(11), unit='D')
        result = timedelta_range('0 days', '10 days', freq='D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta(np.arange(5), unit='D') + Second(2) + Day()
        result = timedelta_range('1 days, 00:00:02', '5 days, 00:00:02',
                                 freq='D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta([1, 3, 5, 7, 9], unit='D') + Second(2)
        result = timedelta_range('1 days, 00:00:02', periods=5, freq='2D')
        tm.assert_index_equal(result, expected)

        expected = to_timedelta(np.arange(50), unit='T') * 30
        result = timedelta_range('0 days', freq='30T', periods=50)
        tm.assert_index_equal(result, expected)

        # GH 11776
        arr = np.arange(10).reshape(2, 5)
        df = pd.DataFrame(np.arange(10).reshape(2, 5))
        for arg in (arr, df):
            with tm.assert_raises_regex(TypeError, "1-d array"):
                to_timedelta(arg)
            for errors in ['ignore', 'raise', 'coerce']:
                with tm.assert_raises_regex(TypeError, "1-d array"):
                    to_timedelta(arg, errors=errors)

        # issue10583
        df = pd.DataFrame(np.random.normal(size=(10, 4)))
        df.index = pd.timedelta_range(start='0s', periods=10, freq='s')
        expected = df.loc[pd.Timedelta('0s'):, :]
        result = df.loc['0s':, :]
        assert_frame_equal(expected, result) 

# 需要导入模块: from pandas.tseries import offsets [as 别名]
# 或者: from pandas.tseries.offsets import Second [as 别名]
def test_to_offset_multiple():
    freqstr = '2h30min'
    freqstr2 = '2h 30min'

    result = to_offset(freqstr)
    assert(result == to_offset(freqstr2))
    expected = offsets.Minute(150)
    assert(result == expected)

    freqstr = '2h30min15s'
    result = to_offset(freqstr)
    expected = offsets.Second(150 * 60 + 15)
    assert(result == expected)

    freqstr = '2h 60min'
    result = to_offset(freqstr)
    expected = offsets.Hour(3)
    assert(result == expected)

    freqstr = '15l500u'
    result = to_offset(freqstr)
    expected = offsets.Micro(15500)
    assert(result == expected)

    freqstr = '10s75L'
    result = to_offset(freqstr)
    expected = offsets.Milli(10075)
    assert(result == expected)

    if not _np_version_under1p7:
        freqstr = '2800N'
        result = to_offset(freqstr)
        expected = offsets.Nano(2800)
        assert(result == expected)

    # malformed
    try:
        to_offset('2h20m')
    except ValueError:
        pass
    else:
        assert(False)