Python | Pandas tseries.offsets.DateOffset.isAnchored

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 pd
import pandas as pd

# importing the to_offset function
from pandas.tseries.frequencies import to_offset

# Creating Timestamp
ts = pd.Timestamp('2019-10-10 07:15:11')

# Create the DateOffset of 2 day
do = to_offset(freq = '2D')

# Print the Timestamp
print(ts)

# Print the DateOffset
print(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 timestamp
new_timestamp = ts + do

# Print the updated timestamp
print(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 pd
import pandas as pd

# importing the to_offset function
from pandas.tseries.frequencies import to_offset

# Creating Timestamp
ts = pd.Timestamp('2019-10-10 07:15:11')

# Create the DateOffset
do = to_offset(freq = 'W-SUN')

# Print the Timestamp
print(ts)

# Print the DateOffset
print(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 timestamp
new_timestamp = ts + do

# Print the updated timestamp
print(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.