如何以时区感知方式设置与熊猫度假

Question

我有一个按日期时间和每小时频率索引的熊猫数据框（可识别时区）：

<class 'pandas.tseries.index.DatetimeIndex'>
[2014-01-01 00:00:00+01:00, ..., 2014-06-30 23:00:00+02:00]
Length: 4933, Freq: None, Timezone: Europe/Rome

我想将我设置的所有假期的工作日设置为6（= Sunday）。 如何以时区感知方式进行操作？

Answer 1

这可能很幼稚，但可以

from pandas.tseries.holiday import Holiday, AbstractHolidayCalendar
from datetime import datetime

class ItalianHolidaysCalendar(AbstractHolidayCalendar):
    rules = [Holiday('Pasquetta', month=4, day=21),
         Holiday('Liberation day', month=4, day=25),
         Holiday('Workers day', month=5, day=1),
         Holiday('Republic day', month=6, day=2)
   ]

cal = ItalianHolidaysCalendar()

holidays_df = pd.DataFrame({})
dd = pd.date_range(datetime(2014,1,1,0), periods=24, freq='H', tz='Europe/Rome')

holidays = cal.holidays(sliceSum.datetime.min().date(), sliceSum.datetime.max().date())
for day in holidays:
    dd = dd.append(pd.date_range(day, day + pd.DateOffset(hours=23), freq='H'))

sliceSum['holiday'] = False
sliceSum.loc[sliceSum.index.isin(dd),['holiday']] = True
sliceSum[sliceSum.holiday].head(50)