Python | Pandas tseries.offsets.BusinessHour.next_bday

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.BusinessHour.next_bday function is used for moving to next business day.
Syntax: pandas.tseries.offsets.BusinessHour.next_bday Parameter : None Returns : offset
Example #1: Use pandas.tseries.offsets.BusinessHour.next_bday function to move the given timestamp to next business day.Â
Python3
# importing pandas as pdimport pandas as pdÂ
# Creating Timestampts = pd.Timestamp('2019-10-10 07:15:11')Â
# Create an offset of 5 Business hoursbh = pd.tseries.offsets.BusinessHour(n = 5)Â
# Print the Timestampprint(ts)Â
# Print the Offsetprint(bh) |
Output : 

Python3
# Adding the Business hour offset to the given timestampnew_timestamp = ts + bhÂ
# Print the updated timestampprint(new_timestamp)Â
# Move the timestamp to next# business dayresult = ts + bh.next_bdayÂ
# Print the resultprint(result) |
Output : 

Python3
# importing pandas as pdimport pandas as pdÂ
# Creating Timestampts = pd.Timestamp('2019-10-10 07:15:11')Â
# Create an offsetbh = pd.tseries.offsets.BusinessHour(offset = datetime.timedelta(days = 10, hours = 10))Â
# Print the Timestampprint(ts)Â
# Print the Offsetprint(bh) |
Output : 

Python3
# Adding the Business hour offset to the given timestampnew_timestamp = ts + bhÂ
# Print the updated timestampprint(new_timestamp)Â
# Move the timestamp to next# business dayresult = ts + bh.next_bdayÂ
# Print the resultprint(result) |
Output : 




