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.
New in version 1.7.0.
Parameters: dates : array_like of datetime64[D]
The array of dates to process.
offsets : array_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.
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 datetime64[D], optional
If provided, this array is filled with the result.
Returns: out : array 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
>>> # First business day in October 2011 (not accounting for holidays) ... np.busday_offset('2011-10', 0, roll='forward') numpy.datetime64('2011-10-03','D') >>> # Last business day in February 2012 (not accounting for holidays) ... np.busday_offset('2012-03', -1, roll='forward') numpy.datetime64('2012-02-29','D') >>> # Third Wednesday in January 2011 ... np.busday_offset('2011-01', 2, roll='forward', weekmask='Wed') numpy.datetime64('2011-01-19','D') >>> # 2012 Mother's Day in Canada and the U.S. ... np.busday_offset('2012-05', 1, roll='forward', weekmask='Sun') numpy.datetime64('2012-05-13','D')
>>> # First business day on or after a date ... np.busday_offset('2011-03-20', 0, roll='forward') numpy.datetime64('2011-03-21','D') >>> np.busday_offset('2011-03-22', 0, roll='forward') numpy.datetime64('2011-03-22','D') >>> # First business day after a date ... np.busday_offset('2011-03-20', 1, roll='backward') numpy.datetime64('2011-03-21','D') >>> np.busday_offset('2011-03-22', 1, roll='backward') numpy.datetime64('2011-03-23','D')