Python | Pandas tseries.offsets.BusinessHour.onOffset

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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.onOffset() function is used to check if the passed date is on offset or not.

Syntax: pandas.tseries.offsets.BusinessHour.onOffset() Parameter : None Returns : boolean

Example #1: Use pandas.tseries.offsets.BusinessHour.onOffset() function to check if the passed date is on offset or not.

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 check if the given date is on offset or not.

Python3

# Adding the Business hour offset to the given timestamp
new_timestamp = ts + bh
 
# Print the updated timestamp
print(new_timestamp)
 
# check if the passed date is
# on offset or not
result = bh.onOffset(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 function has returned True indicating that the given date is on offset. Example #2: Use pandas.tseries.offsets.BusinessHour.onOffset() function to check if the passed date is on offset or not.

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 check if the given date is on offset or not.

Python3

# Adding the Business hour offset to the given timestamp
new_timestamp = ts + bh
 
# Print the updated timestamp
print(new_timestamp)
 
# check if the passed date is
# on offset or not
result = bh.onOffset(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 function has returned True indicating that the given date is on offset.