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.name attribute returns the name of the frequency applied on the given offset object as a string.
Syntax: pandas.tseries.offsets.CustomBusinessDay.name Parameter : None Returns : name of the frequency applied as string.
Example #1: Use pandas.tseries.offsets.CustomBusinessDay.name attribute to return the name of the frequency applied on the given offset object as a string.
Python3
# importing pandas as pdimport pandas 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 : 
Now we will add the offset to the given timestamp object to increment the datetime value. We will also print the name of the frequency applied on the given offset object as a string.
Python3
# Adding the offset to the given timestampnew_timestamp = ts + cbd# Print the updated timestampprint(new_timestamp)# find the name of the frequency applied on # the given offsetresult = cbd.name# 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 printed the name of the frequency applied on the given offset object as a string. Example #2: Use pandas.tseries.offsets.CustomBusinessDay.name attribute to return the name of the frequency applied on the given offset object as a string.
Python3
# importing pandas as pdimport pandas 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 : 
Now we will add the offset to the given timestamp object to increment the datetime value. We will also print the name of the frequency applied on the given offset object as a string.
Python3
# Adding the offset to the given timestampnew_timestamp = ts + cbd# Print the updated timestampprint(new_timestamp)# find the name of the frequency applied on # the given offsetresult = cbd.name# 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 printed the name of the frequency applied on the given offset object as a string.
