Python datetime.date方法代碼示例

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def datereader(dateattribute, parsingfunction=ymdparser):
    """Return a function that converts a certain dict member to a datetime.date

       When setting, fromfinder for a tables.SlowlyChangingDimension, this
       method can be used for generating a function that picks the relevant
       dictionary member from each row and converts it.

       Arguments:
           
       - dateattribute: the attribute the generated function should read
       - parsingfunction: the parsing function that converts the string
         to a datetime.date
    """
    def readerfunction(targetconnection, row, namemapping={}):
        atttouse = (namemapping.get(dateattribute) or dateattribute)
        return parsingfunction(row[atttouse])  # a datetime.date

    return readerfunction 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def _convert_1d(values, units, axis):
        if not hasattr(axis, 'freq'):
            raise TypeError('Axis must have `freq` set to convert to Periods')
        valid_types = (compat.string_types, datetime,
                       Period, pydt.date, pydt.time, np.datetime64)
        if (isinstance(values, valid_types) or is_integer(values) or
                is_float(values)):
            return get_datevalue(values, axis.freq)
        elif isinstance(values, PeriodIndex):
            return values.asfreq(axis.freq)._ndarray_values
        elif isinstance(values, Index):
            return values.map(lambda x: get_datevalue(x, axis.freq))
        elif lib.infer_dtype(values, skipna=False) == 'period':
            # https://github.com/pandas-dev/pandas/issues/24304
            # convert ndarray[period] -> PeriodIndex
            return PeriodIndex(values, freq=axis.freq)._ndarray_values
        elif isinstance(values, (list, tuple, np.ndarray, Index)):
            return [get_datevalue(x, axis.freq) for x in values]
        return values 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def axisinfo(unit, axis):
        """
        Return the :class:`~matplotlib.units.AxisInfo` for *unit*.

        *unit* is a tzinfo instance or None.
        The *axis* argument is required but not used.
        """
        tz = unit

        majloc = PandasAutoDateLocator(tz=tz)
        majfmt = PandasAutoDateFormatter(majloc, tz=tz)
        datemin = pydt.date(2000, 1, 1)
        datemax = pydt.date(2010, 1, 1)

        return units.AxisInfo(majloc=majloc, majfmt=majfmt, label='',
                              default_limits=(datemin, datemax)) 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def apply(self, other):
        current_easter = easter(other.year)
        current_easter = datetime(current_easter.year,
                                  current_easter.month, current_easter.day)
        current_easter = conversion.localize_pydatetime(current_easter,
                                                        other.tzinfo)

        n = self.n
        if n >= 0 and other < current_easter:
            n -= 1
        elif n < 0 and other > current_easter:
            n += 1
        # TODO: Why does this handle the 0 case the opposite of others?

        # NOTE: easter returns a datetime.date so we have to convert to type of
        # other
        new = easter(other.year + n)
        new = datetime(new.year, new.month, new.day, other.hour,
                       other.minute, other.second, other.microsecond)
        return new 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def test_dt64ser_cmp_date_invalid(self, box_with_array):
        # GH#19800 datetime.date comparison raises to
        # match DatetimeIndex/Timestamp.  This also matches the behavior
        # of stdlib datetime.datetime

        ser = pd.date_range('20010101', periods=10)
        date = ser.iloc[0].to_pydatetime().date()

        ser = tm.box_expected(ser, box_with_array)
        assert not (ser == date).any()
        assert (ser != date).all()
        with pytest.raises(TypeError):
            ser > date
        with pytest.raises(TypeError):
            ser < date
        with pytest.raises(TypeError):
            ser >= date
        with pytest.raises(TypeError):
            ser <= date 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def dt64arr_cmp_non_datetime(self, tz_naive_fixture, box_with_array):
        # GH#19301 by convention datetime.date is not considered comparable
        # to Timestamp or DatetimeIndex.  This may change in the future.
        tz = tz_naive_fixture
        dti = pd.date_range('2016-01-01', periods=2, tz=tz)
        dtarr = tm.box_expected(dti, box_with_array)

        other = datetime(2016, 1, 1).date()
        assert not (dtarr == other).any()
        assert (dtarr != other).all()
        with pytest.raises(TypeError):
            dtarr < other
        with pytest.raises(TypeError):
            dtarr <= other
        with pytest.raises(TypeError):
            dtarr > other
        with pytest.raises(TypeError):
            dtarr >= other 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def __deserialize_date(self, string):
        """
        Deserializes string to date.

        :param string: str.
        :return: date.
        """
        try:
            from dateutil.parser import parse
            return parse(string).date()
        except ImportError:
            return string
        except ValueError:
            raise ApiException(
                status=0,
                reason="Failed to parse `{0}` into a date object".format(string)
            ) 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def test_sort_rows_datetime():
    import datetime
    from dataflows import sort_rows

    f = Flow(
        [
            {'a': datetime.date(2000, 1, 3)},
            {'a': datetime.date(2010, 1, 2)},
            {'a': datetime.date(2020, 1, 1)},
        ],
        sort_rows(key='{a}'),
    )
    results, _, _ = f.results()
    assert list(results[0]) == [
        {'a': datetime.date(2000, 1, 3)},
        {'a': datetime.date(2010, 1, 2)},
        {'a': datetime.date(2020, 1, 1)},
    ] 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def test_load_dates_timezones():
    from dataflows import Flow, checkpoint
    from datetime import datetime, timezone
    import shutil

    dates = [
        datetime.now(),
        datetime.now(timezone.utc).astimezone()
    ]

    shutil.rmtree('.checkpoints/test_load_dates_timezones', ignore_errors=True)

    Flow(
        [{'date': d.date(), 'datetime': d} for d in dates],
        checkpoint('test_load_dates_timezones')
    ).process()

    results = Flow(
        checkpoint('test_load_dates_timezones')
    ).results()

    assert list(map(lambda x: x['date'], results[0][0])) == \
        list(map(lambda x: x.date(), dates))
    assert list(map(lambda x: x['datetime'], results[0][0])) == \
        list(map(lambda x: x, dates)) 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def _convert_1d(values, units, axis):
        if not hasattr(axis, 'freq'):
            raise TypeError('Axis must have `freq` set to convert to Periods')
        valid_types = (compat.string_types, datetime,
                       Period, pydt.date, pydt.time, np.datetime64)
        if (isinstance(values, valid_types) or is_integer(values) or
                is_float(values)):
            return get_datevalue(values, axis.freq)
        if isinstance(values, PeriodIndex):
            return values.asfreq(axis.freq)._ndarray_values
        if isinstance(values, Index):
            return values.map(lambda x: get_datevalue(x, axis.freq))
        if is_period_arraylike(values):
            return PeriodIndex(values, freq=axis.freq)._ndarray_values
        if isinstance(values, (list, tuple, np.ndarray, Index)):
            return [get_datevalue(x, axis.freq) for x in values]
        return values 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def apply_index(self, i):
        # determine how many days away from the 1st of the month we are
        days_from_start = i.to_perioddelta('M').asi8
        delta = Timedelta(days=self.day_of_month - 1).value

        # get boolean array for each element before the day_of_month
        before_day_of_month = days_from_start < delta

        # get boolean array for each element after the day_of_month
        after_day_of_month = days_from_start > delta

        # determine the correct n for each date in i
        roll = self._get_roll(i, before_day_of_month, after_day_of_month)

        # isolate the time since it will be striped away one the next line
        time = i.to_perioddelta('D')

        # apply the correct number of months
        i = (i.to_period('M') + (roll // 2)).to_timestamp()

        # apply the correct day
        i = self._apply_index_days(i, roll)

        return i + time 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def __init__(self, sep=None):
        """
        :param sep:
            A single character that separates date and time portions. If
            ``None``, the parser will accept any single character.
            For strict ISO-8601 adherence, pass ``'T'``.
        """
        if sep is not None:
            if (len(sep) != 1 or ord(sep) >= 128 or sep in '0123456789'):
                raise ValueError('Separator must be a single, non-numeric ' +
                                 'ASCII character')

            sep = sep.encode('ascii')

        self._sep = sep 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def parse_isodate(self, datestr):
        """
        Parse the date portion of an ISO string.

        :param datestr:
            The string portion of an ISO string, without a separator

        :return:
            Returns a :class:`datetime.date` object
        """
        components, pos = self._parse_isodate(datestr)
        if pos < len(datestr):
            raise ValueError('String contains unknown ISO ' +
                             'components: {}'.format(datestr))
        return date(*components) 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def _calculate_weekdate(self, year, week, day):
        """
        Calculate the day of corresponding to the ISO year-week-day calendar.

        This function is effectively the inverse of
        :func:`datetime.date.isocalendar`.

        :param year:
            The year in the ISO calendar

        :param week:
            The week in the ISO calendar - range is [1, 53]

        :param day:
            The day in the ISO calendar - range is [1 (MON), 7 (SUN)]

        :return:
            Returns a :class:`datetime.date`
        """
        if not 0 < week < 54:
            raise ValueError('Invalid week: {}'.format(week))

        if not 0 < day < 8:     # Range is 1-7
            raise ValueError('Invalid weekday: {}'.format(day))

        # Get week 1 for the specific year:
        jan_4 = date(year, 1, 4)   # Week 1 always has January 4th in it
        week_1 = jan_4 - timedelta(days=jan_4.isocalendar()[2] - 1)

        # Now add the specific number of weeks and days to get what we want
        week_offset = (week - 1) * 7 + (day - 1)
        return week_1 + timedelta(days=week_offset) 

# 需要導入模塊: from datetime import datetime [as 別名]
# 或者: from datetime.datetime import date [as 別名]
def today(ignoredtargetconn=None, ignoredrow=None, ignorednamemapping=None):
    """Return the date of the first call this method as a datetime.date object.
    """
    global _today
    if _today is not None:
        return _today
    _today = date.today()
    return _today