pythonpandasdataframeisinpython-holidays

isin holidays only recognizing the first hour


I have created a class with the holidays in Spain

class SpainBusinessCalendar(AbstractHolidayCalendar):
   rules = [
     #Spain - If one holiday is on a Sunday, each Autonomous Community can change it to a Monday.
     Holiday('Año Nuevo', month=1, day=1, observance=sunday_to_monday),
     Holiday('Epifanía del Señor', month=1, day=6, observance=sunday_to_monday),
     Holiday('Viernes Santo', month=1, day=1, offset=[Easter(), Day(-2)]),
     Holiday('Día del Trabajador', month=5, day=1, observance=sunday_to_monday),
     Holiday('Asunción de la Virgen', month=8, day=15, observance=sunday_to_monday),
     Holiday('Día de la Hispanidad', month=10, day=12, observance=sunday_to_monday),
     Holiday('Todos los Santos', month=11, day=1, observance=sunday_to_monday),
     Holiday('Día Constitución', month=12, day=6, observance=sunday_to_monday),
     Holiday('Inmaculada Concepción', month=12, day=8, observance=sunday_to_monday),        
     Holiday('Navidad', month=12, day=25, observance=sunday_to_monday)
   ]

Then I generated an with the size equals to the Date column in my dataframe

cal = SpainBusinessCalendar()
holidays = cal.holidays(start=df['Date'].min(), end=df['Date'].max())

Which gives the following

enter image description here

In order to generate a df column with the holidays, resulting from the values in the column "Date", I have done

df['Feriado'] = df['Date'].isin(holidays).astype(int)

However, as one can guess from the image of the holidays output, if one is working with hourly data, which is the case, it will only pick up as holiday the first hour (with the time 00:00).

How should I proceed in order to, in the analysis of holidays, the hour is ignored and for a specific holiday date, assign the respective value.


Edit

Both

holidays = cal.holidays(start=df['Data'].dt.date.min(), end=df['Data'].dt.date.max())

and

holidays = cal.holidays(start=df['Data'].dt.floor('d').min(), end=df['Data'].dt.floor('d').max())

Give the same output as the image above.


Solution

  • Created a column with the Date without the time component

    df['Date_notime'] = df['Data'].dt.floor('d')
    

    Then generated the holidays from that column

    holidays = cal.holidays(start=df['Date_notime'].dt.date.min(), end=df['Date_notime'].dt.date.max())
    

    And like then

    df['Feriado'] = df['Date_notime'].isin(holidays).astype(int)
    

    And at the end dropped the columns that I didn't want.