numpy.is_busday#

numpy.is_busday(dates, weekmask='1111100', holidays=None, busdaycal=None, out=None)#

Calculates which of the given dates are valid days, and which are not.

New in version 1.7.0.

Parameters:

datesarray_like of datetime64[D]: The array of dates to process.
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. 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.
busdaycalbusdaycalendar, optional: A busdaycalendar object which specifies the valid days. If this parameter is provided, neither weekmask nor holidays may be provided.
outarray of bool, optional: If provided, this array is filled with the result.

Returns:

outarray 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

>>> import numpy as np
>>> # 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])