Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the set of dates that are weekdays (M-F). DateOffsets can be created to move dates forward a given number of valid dates. For example, Bday(2) can be added to a date to move it two business days forward. If the date does not start on a valid date, first it is moved to a valid date and then offset is created. Pandas tseries.offsets.CustomBusinessDay.kwds attribute returns the keyword argument applied on the given offset object.
Syntax: pandas.tseries.offsets.CustomBusinessDay.kwds Parameter : None Returns : keyword argument
Example #1: Use pandas.tseries.offsets.CustomBusinessDay.kwds attribute to return the keyword argument applied on the given offset object.Â
Python3
| # importing pandas as pdimportpandas as pd  # Creating Timestampts =pd.Timestamp('2019-4-23 11:15:00')  # Create an offsetcbd =pd.tseries.offsets.CustomBusinessDay(weekmask ='Mon Tue Wed')  # Print the Timestampprint(ts)  # Print the Offsetprint(cbd) | 
Output : 

Python3
| # Adding the offset to the given timestampnew_timestamp =ts +cbd  # Print the updated timestampprint(new_timestamp)  # find the keyword argument applied on # the given offsetresult =cbd.kwds  # print the resultprint(result) | 
Output : 

Python3
| # importing pandas as pdimportpandas as pd  # Creating Timestampts =pd.Timestamp('2019-4-23 11:15:00')  # Create an offsetcbd =pd.tseries.offsets.CustomBusinessDay(n =3, weekmask ='Mon Tue Wed Thu')  # Print the Timestampprint(ts)  # Print the Offsetprint(cbd) | 
Output : 

Python3
| # Adding the offset to the given timestampnew_timestamp =ts +cbd  # Print the updated timestampprint(new_timestamp)  # find the keyword argument applied on # the given offsetresult =cbd.kwds  # print the resultprint(result) | 
Output : 


 
                                    







