本文整理匯總了Python中numpy.is_busday方法的典型用法代碼示例。如果您正苦於以下問題:Python numpy.is_busday方法的具體用法?Python numpy.is_busday怎麽用?Python numpy.is_busday使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy
的用法示例。
在下文中一共展示了numpy.is_busday方法的7個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_datetime_is_busday
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import is_busday [as 別名]
def test_datetime_is_busday(self):
holidays = ['2011-01-01', '2011-10-10', '2011-11-11', '2011-11-24',
'2011-12-25', '2011-05-30', '2011-02-21', '2011-01-17',
'2011-12-26', '2012-01-02', '2011-02-21', '2011-05-30',
'2011-07-01', '2011-07-04', '2011-09-05', '2011-10-10',
'NaT']
bdd = np.busdaycalendar(weekmask='1111100', holidays=holidays)
# Weekend/weekday tests
assert_equal(np.is_busday('2011-01-01'), False)
assert_equal(np.is_busday('2011-01-02'), False)
assert_equal(np.is_busday('2011-01-03'), True)
# All the holidays are not business days
assert_equal(np.is_busday(holidays, busdaycal=bdd),
np.zeros(len(holidays), dtype='?'))
示例2: test_datetime_is_busday
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import is_busday [as 別名]
def test_datetime_is_busday(self):
holidays=['2011-01-01', '2011-10-10', '2011-11-11', '2011-11-24',
'2011-12-25', '2011-05-30', '2011-02-21', '2011-01-17',
'2011-12-26', '2012-01-02', '2011-02-21', '2011-05-30',
'2011-07-01', '2011-07-04', '2011-09-05', '2011-10-10',
'NaT']
bdd = np.busdaycalendar(weekmask='1111100', holidays=holidays)
# Weekend/weekday tests
assert_equal(np.is_busday('2011-01-01'), False)
assert_equal(np.is_busday('2011-01-02'), False)
assert_equal(np.is_busday('2011-01-03'), True)
# All the holidays are not business days
assert_equal(np.is_busday(holidays, busdaycal=bdd),
np.zeros(len(holidays), dtype='?'))
示例3: is_business_day
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import is_busday [as 別名]
def is_business_day(dates: DateOrDates, calendars: Union[str, Tuple[str, ...]] = (), week_mask: Optional[str] = None)\
-> Union[bool, Tuple[bool]]:
"""
Determine whether each date in dates is a business day
:param dates: The input date or dates
:param calendars: Calendars to use for holidays
:param week_mask: Which days are considered weekends (defaults to Saturday and Sunday)
:return: True/False if dates is a single date. A tuple indicating True/False for each date if dates is an iterable
**Examples**
>>> import datetime as dt
>>> is_business_day(dt.date.today())
>>> is_business_day(dt.date(2019, 7, 4), calendars=('NYSE',))
"""
calendar = GsCalendar.get(calendars)
res = np.is_busday(dates, busdaycal=calendar.business_day_calendar(week_mask))
return tuple(res) if isinstance(res, np.ndarray) else res
示例4: onOffset
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import is_busday [as 別名]
def onOffset(self, dt):
if self.normalize and not _is_normalized(dt):
return False
day64 = _to_dt64(dt, 'datetime64[D]')
return np.is_busday(day64, busdaycal=self.calendar)
示例5: onOffset
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import is_busday [as 別名]
def onOffset(self, dt):
day64 = self._to_dt64(dt).astype('datetime64[D]')
return np.is_busday(day64, busdaycal=self.busdaycalendar)
示例6: test_is_busday
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import is_busday [as 別名]
def test_is_busday(self):
with pytest.raises(TypeError):
np.is_busday(self.q)
# These functions always worked; ensure they do not regress.
# Note that they are *not* wrapped so no need to check coverage.
示例7: is_busday
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import is_busday [as 別名]
def is_busday(dates, weekmask=None, holidays=None, busdaycal=None, out=None):
"""
is_busday(dates, weekmask='1111100', holidays=None, busdaycal=None, out=None)
Calculates which of the given dates are valid days, and which are not.
.. versionadded:: 1.7.0
Parameters
----------
dates : array_like of datetime64[D]
The array of dates to process.
weekmask : str or array_like of bool, optional
A seven-element array indicating which of Monday through Sunday are
valid days. May be specified as a length-seven list or array, like
[1,1,1,1,1,0,0]; a length-seven string, like '1111100'; or a string
like "Mon Tue Wed Thu Fri", made up of 3-character abbreviations for
weekdays, optionally separated by white space. Valid abbreviations
are: Mon Tue Wed Thu Fri Sat Sun
holidays : array_like of datetime64[D], optional
An array of dates to consider as invalid dates. They may be
specified in any order, and NaT (not-a-time) dates are ignored.
This list is saved in a normalized form that is suited for
fast calculations of valid days.
busdaycal : busdaycalendar, optional
A `busdaycalendar` object which specifies the valid days. If this
parameter is provided, neither weekmask nor holidays may be
provided.
out : array of bool, optional
If provided, this array is filled with the result.
Returns
-------
out : array of bool
An array with the same shape as ``dates``, containing True for
each valid day, and False for each invalid day.
See Also
--------
busdaycalendar: An object that specifies a custom set of valid days.
busday_offset : Applies an offset counted in valid days.
busday_count : Counts how many valid days are in a half-open date range.
Examples
--------
>>> # The weekdays are Friday, Saturday, and Monday
... np.is_busday(['2011-07-01', '2011-07-02', '2011-07-18'],
... holidays=['2011-07-01', '2011-07-04', '2011-07-17'])
array([False, False, True], dtype='bool')
"""
return (dates, weekmask, holidays, out)