Python | Pandas Series.dt.is_year_end



Series.dt can be used to access series values ​​as datetimelike and return multiple properties. Series.dt.is_year_end Pandas Series.dt.is_year_end returns a boolean value indicating whether the date is the last day year.

Syntax: Series.dt.is_year_end

Parameter: None

Returns: numpy array

Example # 1: Use the Series.dt.is_year_end attribute to check if whether the dates in the underlying data of this series object are the last day of the year.

# import pandas as pd

import pandas as pd

 
# Create series

sr = pd.Series ([ `2012-12-31` , ` 2019-1-1 12: 30` , `2008-02-2 10:30` ,

`2010-1-1 09:25` , `2019-12-31 00:00` ])

 
# Create index

idx = [ `Day 1` , `Day 2` , ` Day 3` , `Day 4` , `Day 5` ]

  
# at set index

sr.index = idx

 
# Convert baseline data to date and time

sr = pd.to_datetime (sr)

 
# Print series

print (sr)

Output:

Now we will use the Series.dt.is_year_end attribute to check if the dates in a given series object are the last day of the year or not.

# n check if dates are
# last day of the year

result = sr.dt.is_year_end

 
# print the result

print (result)

Output:

As we can see in the output, the Series.dt.is_year_end attribute successfully accessed and returned a boolean indicating whether the dates are the last day of the year or not.

Example # 2: Use the Series.dt.is_year_end attribute to check if dates in the underlying data of this series object are the last day of the year.

# import pandas as pd

import pandas as pd

 
# Create series

sr = pd.Series (pd.date_range ( `2012-12-31 00:00` , periods = 5 , freq = `D` ))

  
# Create index

idx = [ ` Day 1` , `Day 2` , `Day 3` , ` Day 4` , `Day 5` ]

  
# set index

sr.index = idx

  
# Print series

print (sr)

Output:

We will now use the Series.dt.is_year_end attribute to check if whether the dates in this series object are the last day of the year or not.

# check if the dates are
# last day of the year

result = sr.dt.is_year_end

  
# print the result

print (result)

Exit:

As we can see in the output, the Series.dt.is_year_end successfully accessed and returned boolean values ​​indicating whether the dates are the last day of the year or not.