Python | Pandas tseries.offsets.BusinessHour.rollforward

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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 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.rollforward() function roll provided date forward to next offset only if not on offset.

Syntax: pandas.tseries.offsets.BusinessHour.rollforward() Parameter : dt : date Returns : rollforward

Example #1: Use pandas.tseries.offsets.BusinessHour.rollforward() function to roll provided date forward to next offset only if not on offset.

Python3

# importing pandas as pd
import pandas as pd
 
# Creating Timestamp
ts = pd.Timestamp('2019-10-10 11:15:00')
 
# Create an offset
bh = pd.tseries.offsets.BusinessHour(n = 5)
 
# Print the Timestamp
print(ts)
 
# Print the Offset
print(bh)

Output : Now we will add the Business hour offset to the given timestamp object to increment the datetime value. We will also roll provided date forward to next offset if not on offset.

Python3

# Adding the Business hour offset to the given timestamp
new_timestamp = ts + bh
 
# Print the updated timestamp
print(new_timestamp)
 
# roll forward the date if not
# on offset
result = bh.rollforward( pd.to_datetime('2010-02-13'))
 
# print the result
print(result)

Output : As we can see in the output, we have successfully created an offset and added it to the given timestamp. we have also roll provided date forward to next offset. Example #2: Use pandas.tseries.offsets.BusinessHour.rollforward() function to roll provided date forward to next offset only if not on offset.

Python3

# importing pandas as pd
import pandas as pd
 
# Creating Timestamp
ts = pd.Timestamp('2019-10-10 11:15:00')
 
# Create an offset
bh = pd.tseries.offsets.BusinessHour(offset = datetime.timedelta(hours = 1))
 
# Print the Timestamp
print(ts)
 
# Print the Offset
print(bh)

Output : Now we will add the Business hour offset to the given timestamp object to increment the datetime value.We will also roll provided date forward to next offset if not on offset.

Python3

# Adding the Business hour offset to the given timestamp
new_timestamp = ts + bh
 
# Print the updated timestamp
print(new_timestamp)
 
# roll forward the date if not
# on offset
result = bh.rollforward( pd.to_datetime('2010-02-12 11:00:00'))
 
# print the result
print(result)

Output : As we can see in the output, we have successfully created an offset and added it to the given timestamp. The passed date has not been rolled forward as it is on offset.