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.isAnchored() function returns a boolean value. It returns True if the given Business day Offset is Anchored else it return False
Syntax: pandas.tseries.offsets.BusinessDay.isAnchored() Parameter : None Returns : boolean
Example #1: Use pandas.tseries.offsets.BusinessDay.isAnchored() function to check if the given Business day offset object is anchored or not.
Python3
# importing pandas as pd import pandas as pd # Creating Timestamp ts = pd.Timestamp( '2019-10-10 07:15:11' ) # Create an offset of 5 Business days bd = pd.tseries.offsets.BusinessDay(n = 5 ) # Print the Timestamp print (ts) # Print the DateOffset print (bd) |
Output : Now we will add the Business day offset to the given timestamp object to increment the datetime value. We will also check if the given Business day offset object is anchored or not.
Python3
# Adding the Business day offset to the given timestamp new_timestamp = ts + bd # Print the updated timestamp print (new_timestamp) # check if the offset is # anchored or not result = bd.isAnchored() # print the result print (result) |
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. The given function has returned False indicating the given offset object is not anchored. Example #2 : Use pandas.tseries.offsets.BusinessDay.isAnchored() function to check if the given Business day offset object is anchored or not.
Python3
# importing pandas as pd import pandas as pd # Creating Timestamp ts = pd.Timestamp( '2019-10-10 07:15:11' ) # Create an offset of 10 Business days and 10 hours bd = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(days = 10 , hours = 10 )) # Print the Timestamp print (ts) # Print the DateOffset print (bd) |
Output : Now we will add the Business day offset to the given timestamp object to increment the datetime value. We will also check if the given Business day offset object is anchored or not.
Python3
# Adding the Business day offset to the given timestamp new_timestamp = ts + bd # Print the updated timestamp print (new_timestamp) # check if the offset is # anchored or not result = bd.isAnchored() # print the result print (result) |
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. The given function has returned True indicating the given offset object is anchored.