Pandas tseries offsets BQuarterBegin property rule_code in Python
The Pandas tseries offsets BQuarterBegin property rule_code used to retrieve a rule code as frequency. It returns a string that represents the rule code.
Syntax
 1 BQuarterBegin.rule_code
rule_code property
 1 import pandas as pd
 2 
 3 offset = pd.tseries.offsets.BQuarterBegin()
 4 res = offset.rule_code
 5 print(f'The BQuarterBegin rule code : {res}')
 6 
 7 offset1 = pd.tseries.offsets.BQuarterBegin(startingMonth = 2)
 8 res1 = offset1.rule_code
 9 print(f'The BQuarterBegin rule code : {res1}')
In the above example, a BQuarterBegin objects are created with and without startingMonth parameter. A rule_code property is access that returns a frequency string with last month of the quarter. The result is assign to the variable that will be printed on console.
Output
 1 The BQuarterBegin rule code : BQS-MAR
 2 The BQuarterBegin rule code : BQS-FEB

Example 2

Example 2
 1 import pandas as pd
 2 
 3 offset = pd.tseries.offsets.BQuarterBegin(normalize = True)
 4 res = offset.rule_code
 5 print(f'The BQuarterBegin rule code : {res}')
In the above example, a BQuarterBegin objects are created without startingMonth parameter and normalize as true. A rule_code property is access that returns a frequency string with last month of the quarter.
Output
 1 The timestamp object : 2023-03-31 12:23:00
 2 The BQuarterBegin rule code : BQS-MAR

Example 3

Example 3
 1 import pandas as pd
 2 
 3 offset1 = pd.tseries.offsets.BQuarterBegin(startingMonth = 4, normalize = True)
 4 res1 = offset1.rule_code
 5 print(f'The BQuarterBegin rule code : {res1}')
In the above example, a BQuarterBegin objects are created with startingMonth parameter and normalize as true. A rule_code property is access that returns a frequency string with last month of the quarter.
Output
 1 The timestamp object : 2024-03-31 10:12:00
 2 The BQuarterBegin rule code : BQS-APR
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