Python | Pandas tseries.offsets.CustomBusinessDay.freqstr

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.freqstr attribute returns the frequency applied on the given offset object as a string.

Syntax: pandas.tseries.offsets.CustomBusinessDay.freqstr Parameter : None Returns : frequency applied as string.

Example #1: Use pandas.tseries.offsets.CustomBusinessDay.freqstr attribute to return the frequency applied on the given offset object as a string. 

Output : Now we will add the offset to the given timestamp object to increment the datetime value. We will also print the frequency applied on the given offset object as a string. 

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 frequency applied on the given offset object as a string. Example #2: Use pandas.tseries.offsets.CustomBusinessDay.freqstr attribute to return the frequency applied on the given offset object as a string. 

Output : Now we will add the offset to the given timestamp object to increment the datetime value. We will also print the frequency applied on the given offset object as a string. 

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 frequency applied on the given offset object as a string.