Python | Pandas Series.dt. четверть

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.quarter attribute return the quarter of the date in the underlying datetime based data in the given series object.

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

Example #1: Use Series.dt.quarter attribute to return the quarter of the date in the underlying data of the given Series object.

Выход :

Now we will use Series.dt.quarter attribute to return the quarter of the date in the datetime based data in the given series object.

# return the quarter of the date
result = sr.dt.quarter
  
# print the result
print(result)

Output :

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

Example #2 : Use Series.dt.quarter attribute to return the quarter of the date in 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 = "M"))
  
# 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.quarter attribute to return the quarter of the date in the datetime based data in the given series object.

# return the quarter of the date
result = sr.dt.quarter
  
# print the result
print(result)

Output :

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

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Python | Pandas Series.dt. четверть

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