Python | Панды Series.dt.is_leap_year

Опубликовано: 27 Марта, 2022

Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.is_leap_year attribute return a boolean indicator if the date belongs to a leap year.

Syntax: Series.dt.is_leap_year
Parameter : None
Returns : numpy array

Example #1: Use Series.dt.is_leap_year attribute to check if the dates in the underlying data of the given series object belongs to a leap year.

Выход :

Now we will use Series.dt.is_leap_year attribute to check if the dates in the given series object belongs to a leap year.

# check if dates given
# belongs to a leap year.
result = sr.dt.is_leap_year
  
# print the result
print(result)

Выход :

As we can see in the output, the Series.dt.is_leap_year attribute has successfully accessed and returned boolean values indicating whether the dates in the given series object belongs to a leap year.

Example #2 : Use Series.dt.is_leap_year attribute to check if the dates in the underlying data of the given series object belongs to a leap year.

# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range("2012-12-31 00:00", periods = 5, freq = "D"))
  
# Creating the index
idx = ["Day 1", "Day 2", "Day 3", "Day 4", "Day 5"]
  
# set the index
sr.index = idx
  
# Print the series
print(sr)

Выход :

Now we will use Series.dt.is_leap_year attribute to check if the dates in the given series object belongs to a leap year.

# check if dates given
# belongs to a leap year.
result = sr.dt.is_leap_year
  
# print the result
print(result)

Выход :

Внимание компьютерщик! Укрепите свои основы с помощью базового курса программирования Python и изучите основы.

Для начала подготовьтесь к собеседованию. Расширьте свои концепции структур данных с помощью курса Python DS. А чтобы начать свое путешествие по машинному обучению, присоединяйтесь к курсу Машинное обучение - базовый уровень.

Python

Python | Панды Series.dt.is_leap_year

РЕКОМЕНДУЕМЫЕ СТАТЬИ