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.freqstr attribute returns the frequency object as a string for the given DateOffset object.
Syntax: pandas.tseries.offsets.DateOffset.freqstr Parameter : None Returns : frequency object applied as a string
Example #1: Use pandas.tseries.offsets.DateOffset.freqstr attribute to return the frequency object applied on the given DateOffset object as a string.Â
Python3
# importing pandas as pdimport pandas as pdÂ
# Creating Timestampts = pd.Timestamp('2019-10-10 07:15:11')Â
# Create the DateOffsetdo = pd.tseries.offsets.DateOffset(n = 2)Â
# Print the Timestampprint(ts)Â
# Print the DateOffsetprint(do) |
Output : 

Python3
# Adding the dateoffset to the given timestampnew_timestamp = ts + doÂ
# Print the updated timestampprint(new_timestamp)Â
# Now we will find the freqstrprint(do.freqstr) |
Output : 

Python3
# importing pandas as pdimport pandas as pdÂ
# Creating Timestampts = pd.Timestamp('2019-10-10 07:15:11')Â
# Create the DateOffsetdo = pd.tseries.offsets.DateOffset(days = 10, hours = 2)Â
# Print the Timestampprint(ts)Â
# Print the DateOffsetprint(do) |
Output : 

Python3
# Adding the dateoffset to the given timestampnew_timestamp = ts + doÂ
# Print the updated timestampprint(new_timestamp)Â
# Now we will find the freqstrprint(do.freqstr) |
Output : 

