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Python | Pandas tseries.offsets.BusinessDay.copy

Last Updated : 08 Sep, 2022
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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 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.BusinessDay.copy() function returns a copy of the given Business day offset object.

Syntax: pandas.tseries.offsets.BusinessDay.copy() Parameter : None Returns : returns a copy

Example #1: Use pandas.tseries.offsets.BusinessDay.copy() function to create a copy of the given offset object. 

Python3




# importing pandas as pd
import pandas as pd
 
# Creating Timestamp
ts = pd.Timestamp('2019-10-10 07:15:11')
 
# Create an offset of 5 Business days
bd = pd.tseries.offsets.BusinessDay(n = 5)
 
# Print the Timestamp
print(ts)
 
# Print the DateOffset
print(bd)


Output : Now we will add the Business day offset to the given timestamp object to increment the datetime value. We will also create a copy of the given offset object. 

Python3




# Adding the Business day offset to the given timestamp
new_timestamp = ts + bd
 
# Print the updated timestamp
print(new_timestamp)
 
# create a copy of the given
# offset object
bd_copy = bd.copy()
 
# Check if the two objects are
# same or not
print(bd_copy is bd)


Output : As we can see in the output, we have successfully created an offset of 5 Business days and added it to the given timestamp. We have also created a copy of the given offset object. Example #2 : Use pandas.tseries.offsets.BusinessDay.copy() function to create a copy of the given offset object. 

Python3




# importing pandas as pd
import pandas as pd
 
# Creating Timestamp
ts = pd.Timestamp('2019-10-10 07:15:11')
 
# Create an offset of 10 Business days and 10 hours
bd = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(days = 10, hours = 10))
 
# Print the Timestamp
print(ts)
 
# Print the DateOffset
print(bd)


Output : Now we will add the Business day offset to the given timestamp object to increment the datetime value. We will also create a copy of the given offset object. 

Python3




# Adding the Business day offset to the given timestamp
new_timestamp = ts + bd
 
# Print the updated timestamp
print(new_timestamp)
 
# create a copy of the given
# offset object
bd_copy = bd.copy()
 
# Check if the two objects are
# same or not
print(bd_copy is bd)


Output : As we can see in the output, we have successfully created an offset of 10 Business days & 10 hours and added it to the given timestamp. We have also created a copy of the given offset object.



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