numpy.busdaycalendar#
- class numpy.busdaycalendar(weekmask='1111100', holidays=None)[source]#
A business day calendar object that efficiently stores information defining valid days for the busday family of functions.
The default valid days are Monday through Friday (“business days”). A busdaycalendar object can be specified with any set of weekly valid days, plus an optional “holiday” dates that always will be invalid.
Once a busdaycalendar object is created, the weekmask and holidays cannot be modified.
New in version 1.7.0.
- Parameters:
- weekmaskstr 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
- holidaysarray_like of datetime64[D], optional
An array of dates to consider as invalid dates, no matter which weekday they fall upon. Holiday dates 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.
- Returns:
- outbusdaycalendar
A business day calendar object containing the specified weekmask and holidays values.
See also
is_busday
Returns a boolean array indicating 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.
Notes
Once a busdaycalendar object is created, you cannot modify the weekmask or holidays. The attributes return copies of internal data.
Examples
>>> # Some important days in July ... bdd = np.busdaycalendar( ... holidays=['2011-07-01', '2011-07-04', '2011-07-17']) >>> # Default is Monday to Friday weekdays ... bdd.weekmask array([ True, True, True, True, True, False, False]) >>> # Any holidays already on the weekend are removed ... bdd.holidays array(['2011-07-01', '2011-07-04'], dtype='datetime64[D]')