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.CustomBusinessHour.rollforward() function is used to roll provided date forward to next offset only if not on offset.
Syntax: pandas.tseries.offsets.CustomBusinessHour.rollforward(dt) Parameter : dt : date Returns : rollforward
Example #1: Use pandas.tseries.offsets.CustomBusinessHour.rollforward() function to roll the provided date forward if it is not on offset.
Python3
# importing pandas as pdimport pandas as pd# Creating Timestampts = pd.Timestamp('2019-4-23 11:15:00')# Create an offsetcbh = pd.tseries.offsets.CustomBusinessHour(n = 2, weekmask = 'Mon Tue Wed Thu', start ='12:00')# Print the Timestampprint(ts)# Print the Offsetprint(cbh) |
Output : 
Now we will add the offset to the given timestamp object to increment the datetime value. We will also check if the given date is on offset or not. If not then we will roll forward the given date to the next offset.
Python3
# Adding the offset to the given timestampnew_timestamp = ts + cbh# Print the updated timestampprint(new_timestamp)# roll forward if not on offsetresult = cbh.rollforward(pd.Timestamp('2019-4-28 11:15:00'))# print the resultprint(result) |
Output : 
As we can see in the output, we have successfully created an offset and added it to the given timestamp. We have also rolled the date forward to next offset. Example #2: Use pandas.tseries.offsets.CustomBusinessHour.rollforward() function to roll the provided date forward if it is not on offset.
Python3
# importing pandas as pdimport pandas as pd# Creating Timestampts = pd.Timestamp('2019-4-23 11:15:00')# Create an offsetcbh = pd.tseries.offsets.CustomBusinessHour(start ='07:00', end ='14:00')# Print the Timestampprint(ts)# Print the Offsetprint(cbh) |
Output : 
Now we will add the offset to the given timestamp object to increment the datetime value. We will also check if the given date is on offset or not. If not then we will roll forward the given date to the next offset.
Python3
# Adding the offset to the given timestampnew_timestamp = ts + cbh# Print the updated timestampprint(new_timestamp)# roll forward if not on offsetresult = cbh.rollforward(pd.Timestamp('2019-4-28 11:15:00'))# print the resultprint(result) |
Output : 
As we can see in the output, we have successfully created an offset and added it to the given timestamp. We have also rolled the date forward to next offset.
