Python | Pandas tseries.offsets.CustomBusinessHour.rule_code
Last Updated :
07 Sep, 2022
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.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.
Python3
import pandas as pd
ts = pd.Timestamp( '2019-4-23 11:15:00' )
cbh = pd.tseries.offsets.CustomBusinessHour(n = 2 , weekmask = 'Mon Tue Wed Thu' ,
start = '12:00' )
print (ts)
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.
Python3
new_timestamp = ts + cbh
print (new_timestamp)
result = cbh.rule_code
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.
Python3
import pandas as pd
ts = pd.Timestamp( '2019-4-23 11:15:00' )
cbh = pd.tseries.offsets.CustomBusinessHour(start = '07:00' , end = '14:00' )
print (ts)
print (cbh)
|
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.
Python3
new_timestamp = ts + cbh
print (new_timestamp)
result = cbh.rule_code
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 printed the rule_code of the frequency applied on the given offset object as a string.
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