Pandas Period property is_leap_year in Python
The Pandas Period property is_leap_year used to determine whether the Period's year belongs to the leap year. It returns a boolean value that specifies Period's year belongs to leap year.
Syntax
 1 Period.is_leap_year
is_leap_year
 1 import pandas as pd
 2 
 3 period = pd.Period('2020-05-25 12:34', freq = 'H')
 4 print('The original period object :')
 5 print(period)
 6 
 7 res = period.is_leap_year
 8 print('The Period belong to leap year :')
 9 print(res)
 10 
 11 period1 = pd.Period('2021-09-22 23:23', freq = 'T')
 12 print('The original period object :')
 13 print(period1)
 14 res1 = period1.is_leap_year
 15 print('The Period belong to leap year :')
 16 print(res1)
 17 
 18 period2 = pd.Period('2024-01-12', freq = 'S')
 19 print('The original period object :')
 20 print(period2)
 21 res2 = period2.is_leap_year
 22 print('The Period belong to leap year :')
 23 print(res2)
In the above example, a Period object is created by passing a date as string and frequency. A is_leap_year property is access that determines whether the Period belongs to leap year. The result is assign to the variable that will be printed on console.
Output
 1 The original period object :
 2 2020-05-25 12:00
 3 The Period belong to leap year :
 4 True
 5 
 6 The original period object :
 7 2021-09-22 23:23
 8 The Period belong to leap year :
 9 False
 10 
 11 The original period object :
 12 2024-01-12 00:00:00
 13 The Period belong to leap year :
 14 True

Period with individual components

Period with individual components
 1 import pandas as pd
 2 
 3 # period with components
 4 period = pd.Period(year = 2024, month = 5, day = 14, hour = 12, freq = 'h')
 5 print('The period object with components :')
 6 print(period)
 7 
 8 res1 = period.is_leap_year
 9 print('The Period belong to leap year :')
 10 print(res1)
In the above example, a Period object is created by passing an individual components. A is_leap_year property is access that determines whether the Period belongs to leap year. The result is assign to the variable that will be print.
Output
 1 The period object with components :
 2 2024-05-14 12:00
 3 
 4 The Period belong to leap year :
 5 True

Period with ordinal

Period with ordinal
 1 import pandas as pd
 2 
 3 # period with ordinal
 4 period2 = pd.Period(ordinal = 459036, freq = 'h')
 5 print('The period object with ordinal :')
 6 print(period2)
 7 
 8 res2 = period2.is_leap_year
 9 print('The Period belong to leap year :')
 10 print(res2)
In the above example, a Period object is created by passing an ordinal value as parameter. A is_leap_year property is access that determines whether the Period belongs to leap year. The result is assign to the variable that will be print.
Output
 1 The period object with ordinal :
 2 2022-05-14 12:00
 3 
 4 The Period belong to leap year :
 5 False
Privacy Policy
Terms of Service
Disclaimer
Contact us
About us