Python | Pandas tseries.offsets.CustomBusinessHour.rule_code

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.

Pandas tseries.offsets.CustomBusinessHour.rule_code attribute returns the rule_code of the frequency applied on the given offset object as a string.

Syntax: pandas.tseries.offsets.CustomBusinessHour.rule_code

Parameter : None

Returns : rule_code of the frequency applied as string

Example #1: Use pandas.tseries.offsets.CustomBusinessHour.rule_code attribute to print the rule_code of the frequency applied on the given offset object as a string.

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# importing pandas as pd
import pandas as pd
  
# Creating Timestamp
ts = pd.Timestamp('2019-4-23 11:15:00')
  
# Create an offset
cbh = pd.tseries.offsets.CustomBusinessHour(n = 2, weekmask = 'Mon Tue Wed Thu',
                                           start ='12:00')
  
# Print the Timestamp
print(ts)
  
# Print the Offset
print(cbh)

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Output :

Now we will add the 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 as a string.

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# Adding the offset to the given timestamp
new_timestamp = ts + cbh
  
# Print the updated timestamp
print(new_timestamp)
  
# return the rule_code of the frequency applied
# on the given offset
result = cbh.rule_code 
  
# print the result
print(result)

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Output :

As we can see in the output, we have successfully created an offset and added it to the given timestamp. we have also printed the rule_code of the frequency applied on the given offset object as a string.

Example #2: Use pandas.tseries.offsets.CustomBusinessHour.rule_code attribute to print the rule_code of the frequency applied on the given offset object as a string.

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# importing pandas as pd
import pandas as pd
  
# Creating Timestamp
ts = pd.Timestamp('2019-4-23 11:15:00')
  
# Create an offset
cbh = pd.tseries.offsets.CustomBusinessHour(start ='07:00', end ='14:00')
  
# Print the Timestamp
print(ts)
  
# Print the Offset
print(cbh)

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Output :

Now we will add the 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 as a string.

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close

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code

# Adding the offset to the given timestamp
new_timestamp = ts + cbh
  
# Print the updated timestamp
print(new_timestamp)
  
# return the rule_code of the frequency applied
# on the given offset
result = cbh.rule_code 
  
# print the result
print(result)

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Output :

As we can see in the output, we have successfully created an offset and added it to the given timestamp. we have also printed the rule_code of the frequency applied on the given offset object as a string.



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