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 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.BusinessDay.rollforward() function rolls the provided date forward to next offset only if not on offset.
Syntax: pandas.tseries.offsets.BusinessDay.rollforward(dt) Parameter : dt : dt Returns : Timestamp
Example #1: Use pandas.tseries.offsets.BusinessDay.rollforward() function to roll the provided date forward to next offset if not on the offset.
Python3
# importing pandas as pdimport pandas as pd# Creating Timestampts = pd.Timestamp('2019-10-10 07:15:11')# Create an offset of 5 Business daysbd = pd.tseries.offsets.BusinessDay(n = 5)# Print the Timestampprint(ts)# Print the DateOffsetprint(bd) |
Output : 
Now we will add the Business day offset to the given timestamp object to increment the datetime value. We will also roll the provided date forward to next offset if not on the offset.
Python3
# Adding the Business day offset to the given timestampnew_timestamp = ts + bd# Print the updated timestampprint(new_timestamp)# roll the provided date forward if not# on the offsetdate = bd.rollforward(dt = pd.to_datetime('2010-02-13'))# print the dateprint(date) |
Output : 
As we can see in the output, we have successfully created an offset of 5 Business days and added it to the given timestamp. We have also roll the provided date forward to next offset if not on the offset. Example #2 : Use pandas.tseries.offsets.BusinessDay.rollforward() function to roll the provided date forward to next offset if not on the offset.
Python3
# importing pandas as pdimport pandas as pd# Creating Timestampts = pd.Timestamp('2019-10-10 07:15:11')# Create an offset of 10 Business days and 10 hoursbd = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(days = 10, hours = 10))# Print the Timestampprint(ts)# Print the DateOffsetprint(bd) |
Output : 
Now we will add the Business day offset to the given timestamp object to increment the datetime value. We will also roll the provided date forward to next offset if not on the offset.
Python3
# Adding the Business day offset to the given timestampnew_timestamp = ts + bd# Print the updated timestampprint(new_timestamp)# roll the provided date forward if not# on the offsetdate = bd.rollforward(dt = pd.to_datetime('2010-02-13'))# print the dateprint(date) |
Output : 
As we can see in the output, we have successfully created an offset of 10 Business days & 10 hours and added it to the given timestamp. We have also roll the provided date forward to next offset if not on the offset.
