Python | Панды Series.dt.time

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.time attribute return a numpy array of python datetime.time objects.

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

Example #1: Use Series.dt.time attribute to return the time property of the underlying data of the given Series object.

Выход :

Now we will use Series.dt.time attribute to return the time property of the underlying data of the given Series object.

# return the time
result = sr.dt.time
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.time attribute has successfully accessed and returned the time property of the underlying data in the given series object.

Example #2 : Use Series.dt.time attribute to return the time property of the underlying data of the given Series object.

# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range("2012-12-12 12:12",
                       periods = 5, freq = "H"))
  
# 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.time attribute to return the time property of the underlying data of the given Series object.

# return the time
result = sr.dt.time
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.time attribute has successfully accessed and returned the time property of the underlying data in the given series object.

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.time

РЕКОМЕНДУЕМЫЕ СТАТЬИ