The Pandas tseries offsets FY5253Quarter function rollback() rolls specified date backward to next offset only if no on offset. It returns a rolled timestamp if not on offset, otherwise unchanged timestamp.
1 FY5253Quarter.rollback()
1 import pandas as pd
2
3 offset = pd.tseries.offsets.FY5253Quarter()
4
5 tstamp = pd.Timestamp(2022, 4, 1)
6 res = offset.rollback(tstamp)
7 print(f'The rolled backward timestamp : {res}')
8
9 tstamp1 = pd.Timestamp(2022, 1, 31)
10 res1 = offset.rollback(tstamp1)
11 print(f'The rolled backward timestamp : {res1}')
In the above example, a Timestamp objects are created with date value. A rollback() function is called that rolls back timestamp to the next offset. The result is assign to the variable that will be printed on console.
1 The rolled backward timestamp : 2022-01-31 00:00:00
2
3 The rolled backward timestamp : 2022-01-31 00:00:00
Example 2
1 import pandas as pd
2
3 tstamp = pd.Timestamp(2023, 1, 31)
4 print('The timestamp object :', tstamp)
5
6 offset = pd.tseries.offsets.FY5253Quarter(normalize = True)
7 res = offset.rollback(tstamp)
8 print(f'The rolled backward timestamp : {res}')
In the above example, a Timestamp objects are created with date value and FY5253Quarter with normalize as true. A rollback() function is called that rolls back timestamp to the next offset.
1 The timestamp object : 2023-01-31 00:00:00
2 The rolled backward timestamp : 2023-01-30 00:00:00
Example 3
1 import pandas as pd
2
3 tstamp1 = pd.Timestamp(2024, 1, 31)
4 print('The timestamp object :', tstamp1)
5
6 offset1 = pd.tseries.offsets.FY5253Quarter(n = 3, weekday = 4, normalize = True)
7 res1 = offset1.rollback(tstamp1)
8 print(f'The rolled backward timestamp : {res1}')
In the above example, a Timestamp objects are created with date value and FY5253Quarter with unit frequency as 3, weekday as 4 and normalize as true. A rollback() function is called that rolls back timestamp to the next offset.
1 The timestamp object : 2024-01-31 00:00:00
2 The rolled backward timestamp : 2023-11-03 00:00:00
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