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Python | Pandas tseries.offsets.BusinessDay.rule_code

  • Last Updated : 23 Apr, 2019

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. DateOffets 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.

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Pandas tseries.offsets.BusinessDay.rule_code attribute attribute allow you to use the offset in functions for simplicity instead of importing and initialising the class. It also returns the rule_code of the frequency that is applied on the offset object.



Syntax: pandas.tseries.offsets.BusinessDay.rule_code

Parameter : None

Returns : rule_code

Example #1: Use pandas.tseries.offsets.BusinessDay.rule_code attribute to return the rule_code of the frequency applied on the given offset object.




# 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 print the rule_code of the frequency applied on the given offset object.






# Adding the Business day offset to the given timestamp
new_timestamp = ts + bd
  
# Print the updated timestamp
print(new_timestamp)
  
# Print the rule_code of the frequency applied 
# on the given offset object
print(bd.rule_code)

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 printed the rule_code of the frequency applied on the given offset object.

Example #2 : Use pandas.tseries.offsets.BusinessDay.rule_code attribute to return the rule_code of the frequency applied on the given offset object.




# 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 print the rule_code of the frequency applied on the given offset object.




# Adding the Business day offset to the given timestamp
new_timestamp = ts + bd
  
# Print the updated timestamp
print(new_timestamp)
  
# Print the rule_code of the frequency applied 
# on the given offset object
print(bd.rule_code)

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 printed the rule_code of the frequency applied on the given offset object.




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