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.DateOffset.isAnchored() function returns a boolean value. It returns True if the given DateOffset is Anchored else it return False.
Syntax: pandas.tseries.offsets.DateOffset.isAnchored() Parameter : None Returns : boolean
Example #1: Use pandas.tseries.offsets.DateOffset.isAnchored() function to check if the given DateOffset is anchored or not.
Python3
# importing pandas as pdimport pandas as pd# importing the to_offset functionfrom pandas.tseries.frequencies import to_offset# Creating Timestampts = pd.Timestamp('2019-10-10 07:15:11')# Create the DateOffset of 2 daydo = to_offset(freq = '2D')# Print the Timestampprint(ts)# Print the DateOffsetprint(do) |
Output : 
Now we will add the dateoffset to the given timestamp object to increment the datetime value. We will also check if the given DateOffset is anchored or not.
Python3
# Adding the dateoffset to the given timestampnew_timestamp = ts + do# Print the updated timestampprint(new_timestamp)# Now we will check if the given DateOffset# is anchored or not.print(do.isAnchored()) |
Output : 
As we can see in the output, the function has returned False indicating the given DateOffset is not anchored. Example #2: Use pandas.tseries.offsets.DateOffset.isAnchored() function to check if the given DateOffset is anchored or not.
Python3
# importing pandas as pdimport pandas as pd# importing the to_offset functionfrom pandas.tseries.frequencies import to_offset# Creating Timestampts = pd.Timestamp('2019-10-10 07:15:11')# Create the DateOffsetdo = to_offset(freq = 'W-SUN')# Print the Timestampprint(ts)# Print the DateOffsetprint(do) |
Output : 
Now we will add the dateoffset to the given timestamp object to increment the datetime value. We will also check if the given DateOffset is anchored or not.
Python3
# Adding the dateoffset to the given timestampnew_timestamp = ts + do# Print the updated timestampprint(new_timestamp)# Now we will check if the given DateOffset# is anchored or not.print(do.isAnchored()) |
Output : 
As we can see in the output, the function has returned True indicating the given DateOffset is anchored.
