是否有比以下方法更好/更直接的计算方法?
# 1. Set up the start and end date for which you want to calculate the
# number of business days excluding holidays.
start_date = '01JAN1986'
end_date = '31DEC1987'
start_date = datetime.datetime.strptime(start_date, '%d%b%Y')
end_date = datetime.datetime.strptime(end_date, '%d%b%Y')
# 2. Generate a list of holidays over this period
from pandas.tseries.holiday import USFederalHolidayCalendar
calendar = USFederalHolidayCalendar()
holidays = calendar.holidays(start_date, end_date)
holidays
它给出了一个 pandas.tseries.index.DatetimeIndex
DatetimeIndex(['1986-01-01', '1986-01-20', '1986-02-17', '1986-05-26',
'1986-07-04', '1986-09-01', '1986-10-13', '1986-11-11',
'1986-11-27', '1986-12-25', '1987-01-01', '1987-01-19',
'1987-02-16', '1987-05-25', '1987-07-03', '1987-09-07',
'1987-10-12', '1987-11-11', '1987-11-26', '1987-12-25'],
dtype='datetime64[ns]', freq=None, tz=None)
但是你需要一个 numpy busday_count 列表
holiday_date_list = holidays.date.tolist()
然后有假期和没有假期你会得到:
np.busday_count(start_date.date(), end_date.date())
>>> 521
np.busday_count(start_date.date(), end_date.date(), holidays = holiday_date_list)
>>> 501
还有一些其他问题略有相似,但通常使用 pandas Series 或 Dataframes(Get business days between start and end date using pandas,Counting the business days between two series)
最佳答案
如果将创建的索引放在数据框中,则可以使用 resample填补空白。传递给 .resample()
的偏移量可以包括工作日甚至(自定义)日历之类的内容:
from pandas.tseries.holiday import USFederalHolidayCalendar
C = pd.offsets.CustomBusinessDay(calendar=USFederalHolidayCalendar())
start_date = '01JAN1986'
end_date = '31DEC1987'
(
pd.DataFrame(index=pd.to_datetime([start_date, end_date]))
.resample(C, closed='right')
.asfreq()
.index
.size
) - 1
索引的大小 - 1 然后给我们天数。
关于Python/Pandas/Numpy - 直接计算两个日期之间不包括节假日的工作日数,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/30265711/