Python | Панды Series.dt.is_quarter_end

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_quarter_end attribute return a boolean value Indicating whether the date is the last day of a quarter.

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

Example #1: Use Series.dt.is_quarter_end attribute to check if the dates in the underlying data of the given series object is the last day of the quarter.

Output :

Now we will use Series.dt.is_quarter_end attribute to check if the dates in the given series object is the last day of the quarter or not.

# check if dates are the last 
# day of the quarter
result = sr.dt.is_quarter_end
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.is_quarter_end attribute has successfully accessed and returned boolean values indicating whether the dates are the last day of the quarter or not.

Example #2 : Use Series.dt.is_quarter_end attribute to check if the dates in the underlying data of the given series object is the last day of the quarter.

# importing pandas as pd
import pandas as pd
  
# Creating the Series
sr = pd.Series(pd.date_range("2012-1-1 00:00", 
                     periods = 5, freq = "Q"))
  
# 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)

Output :

Now we will use Series.dt.is_quarter_end attribute to check if the dates in the given series object is the last day of the quarter or not.

# check if dates are the last 
# day of the quarter
result = sr.dt.is_quarter_end
  
# print the result
print(result)

Output :

As we can see in the output, the Series.dt.is_quarter_end attribute has successfully accessed and returned boolean values indicating whether the dates are the last day of the quarter or not.

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Python | Панды Series.dt.is_quarter_end

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