Python | Pandas tseries.offsets.DateOffset.nanos

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.nanos attribute return the number of nano seconds in the time offset. It needs to be a fixed-frequency offset (something constant like a Day not a Business Day).

Syntax: pandas.tseries.offsets.DateOffset.nanos Parameter : None Returns : number of nanoseconds in the DateOffset

Example #1: Use pandas.tseries.offsets.DateOffset.nanos attribute to return the number of nanoseconds in the given DateOffset object. 

Output : Now we will add the dateoffset to the given timestamp object to roll forward the date from the given Date. Also return the number of nanoseconds in the given DateOffset object. 

Output : As we can see in the output, the attribute has successfully returned the number of nanoseconds in the given Dateoffset object. Example #2: Use pandas.tseries.offsets.DateOffset.nanos attribute to return the number of nanoseconds in the given DateOffset object. 

Output : Now we will add the dateoffset to the given timestamp object to roll forward the date from the given Date. Also return the number of nanoseconds in the given DateOffset object. 

Output : As we can see in the output, the attribute has successfully returned the number of nanoseconds in the given Dateoffset object.