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.BusinessDay.rule_code attribute  allow you to use the offset in functions for simplicity instead of importing and initialising the class. It also returns the rule_code of the frequency that is applied on the offset object.
Syntax: pandas.tseries.offsets.BusinessDay.rule_code Parameter : None Returns : rule_code
Example #1: Use pandas.tseries.offsets.BusinessDay.rule_code attribute to return the rule_code of the frequency applied on the given offset object.Â
Python3
# importing pandas as pdimport pandas as pdÂ
# Creating Timestampts = pd.Timestamp('2019-10-10 07:15:11')Â
# Create an offset of 5 Business daysbd = pd.tseries.offsets.BusinessDay(n = 5)Â
# Print the Timestampprint(ts)Â
# 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 print the rule_code of the frequency applied on the given offset object.Â
Python3
# Adding the Business day offset to the given timestampnew_timestamp = ts + bdÂ
# Print the updated timestampprint(new_timestamp)Â
# Print the rule_code of the frequency applied # on the given offset objectprint(bd.rule_code) |
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 printed the rule_code of the frequency applied on the given offset object. Example #2 : Use pandas.tseries.offsets.BusinessDay.rule_code attribute to return the rule_code of the frequency applied on the given offset object.Â
Python3
# importing pandas as pdimport pandas as pdÂ
# Creating Timestampts = pd.Timestamp('2019-10-10 07:15:11')Â
# Create an offset of 10 Business days and 10 hoursbd = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(days = 10, hours = 10))Â
# Print the Timestampprint(ts)Â
# 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 print the rule_code of the frequency applied on the given offset object.Â
Python3
# Adding the Business day offset to the given timestampnew_timestamp = ts + bdÂ
# Print the updated timestampprint(new_timestamp)Â
# Print the rule_code of the frequency applied # on the given offset objectprint(bd.rule_code) |
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 printed the rule_code of the frequency applied on the given offset object.
