numpy.busday_offset#

numpy.busday_offset(dates, offsets, roll='raise', weekmask='1111100', holidays=None, busdaycal=None, out=None)#

First adjusts the date to fall on a valid day according to the roll rule, then applies offsets to the given dates counted in valid days.

Parameters:

datesarray_like of datetime64[D]

The array of dates to process.

offsetsarray_like of int

The array of offsets, which is broadcast with dates.

roll{raise, nat, forward, following, backward, preceding, modifiedfollowing, modifiedpreceding}, optional

How to treat dates that do not fall on a valid day. The default is raise.

raise means to raise an exception for an invalid day.
nat means to return a NaT (not-a-time) for an invalid day.
forward and following mean to take the first valid day later in time.
backward and preceding mean to take the first valid day earlier in time.
modifiedfollowing means to take the first valid day later in time unless it is across a Month boundary, in which case to take the first valid day earlier in time.
modifiedpreceding means to take the first valid day earlier in time unless it is across a Month boundary, in which case to take the first valid day later in time.

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 datetime64[D], optional

If provided, this array is filled with the result.

Returns:

outarray of datetime64[D]: An array with a shape from broadcasting dates and offsets together, containing the dates with offsets applied.

See also

busdaycalendar: An object that specifies a custom set of valid days.
is_busday: Returns a boolean array indicating valid days.
busday_count: Counts how many valid days are in a half-open date range.

Examples

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>>> import numpy as np
>>> # First business day in October 2011 (not accounting for holidays)
... np.busday_offset('2011-10', 0, roll='forward')
np.datetime64('2011-10-03')
>>> # Last business day in February 2012 (not accounting for holidays)
... np.busday_offset('2012-03', -1, roll='forward')
np.datetime64('2012-02-29')
>>> # Third Wednesday in January 2011
... np.busday_offset('2011-01', 2, roll='forward', weekmask='Wed')
np.datetime64('2011-01-19')
>>> # 2012 Mother's Day in Canada and the U.S.
... np.busday_offset('2012-05', 1, roll='forward', weekmask='Sun')
np.datetime64('2012-05-13')

>>> # First business day on or after a date
... np.busday_offset('2011-03-20', 0, roll='forward')
np.datetime64('2011-03-21')
>>> np.busday_offset('2011-03-22', 0, roll='forward')
np.datetime64('2011-03-22')
>>> # First business day after a date
... np.busday_offset('2011-03-20', 1, roll='backward')
np.datetime64('2011-03-21')
>>> np.busday_offset('2011-03-22', 1, roll='backward')
np.datetime64('2011-03-23')

numpy.is_busday

numpy.busday_count