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NumPy | busday_count method

schedule Aug 12, 2023
Last updated
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Numpy's busday_count(~) method counts the number of valid dates given a range of datetimes. Note that busday stands for business day, but we can specify what a "business" day is via the parameters.

Parameters

1. begindates | array-like of datetime

The starting datetime. Datetimes are essentially strings formatted like so:

"2020-05-25"

2. enddates | array-like of datetime

The ending datetime. This is exclusive, that is, if you specify enddates=A and one of your dates does include A, that date will not be included in the count.

3. weekmasklink | string or array-like of boolean | optional

The days of the week that are considered to be valid. You could either specify a string of length 7 with 0s representing invalid and 1s representing valid weekdays, from Monday to Sunday. For instance, "1111100" would mean that weekends (Saturday and Sunday) would be invalid dates. Also, instead of typing in binaries, you could also use three-character abbreviations like:

Mon Tue Wed Thu Fri Sat Sun

For instance, "Mon Wed Fri" would mean that only Mondays, Wednesdays and Fridays are valid dates, and all other weekdays are invalid.

Alternatively, you could provide an array of booleans of size 7, where True means that that corresponding weekday is valid, and False otherwise. For instance, [True,True,True,True,True,False,False] would again mean that weekends would be invalid dates.

By default, weekmask="1111100", that is, valid weekdays are from Monday to Friday (both inclusive).

4. holidays | array-like of datetime | optional

An array of datetimes that are deemed as invalid dates.

5. busdaycallink | busdaycalender | optional

An busdaycalender object that specifies which dates are deemed as valid dates. If this parameter is provided, then you should not specify parameters weekmask and holidays.

6. out | Numpy array | optional

We can store the result in out, which saves memory space as a new Array is not created.

Return value

If a datetime is provided for begindates and enddates, then a single integer is returned. A Numpy array of integers that represent count of the dates that fall between the specified range.

Examples

Basic usage

To count the number of days that are not Mondays and Sundays during 2020-12-20 to 2020-12-28:

np.busday_count("2020-12-20", "2020-12-28", "0111110")
5

To count the number of days that are not 2020-12-25 and 2020-12-27 during 2020-12-20 to 2020-12-28:

christmas_break = ["2020-12-25", "2020-12-27"]
np.busday_count("2020-12-20", "2020-12-28", holidays= christmas_break)
4

Using busdaycal object

To count the number of dates that are Mondays and Tuesdays during 2020-12-20 to 2020-12-28:

bdc = np.busdaycalendar(weekmask="Mon Tue")
np.busday_count("2020-12-20", "2020-12-28", busdaycal=bdc)
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Published by Isshin Inada
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