Python | Pandas Series.dt.is_quarter_end

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. Python3

# importing pandas as pd
import pandas as pd

# Creating the Series
sr = pd.Series(['2012-3-31', '2019-7-18 12:30', '2008-02-2 10:30',
               '2010-4-22 09:25', '2019-12-31 00:00'])

# Creating the index
idx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5']

# set the index
sr.index = idx

# Convert the underlying data to datetime 
sr = pd.to_datetime(sr)

# 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. Python3

# 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. Python3

# 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. Python3

# 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.