Python | Pandas Series.dt.year
Series.dt can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.year attribute return a numpy array containing year of the datetime in the underlying data of the given series object.
Syntax: Series.dt.year
Parameter : None
Returns : numpy array
Example #1: Use Series.dt.year attribute to return the year of the datetime in the underlying data of the given Series object.
# importing pandas as pdimport pandas as pd # Creating the Seriessr = pd.Series(['2012-10-21 09:30', '2019-7-18 12:30', '2008-02-2 10:30', '2010-4-22 09:25', '2019-11-8 02:22']) # Creating the indexidx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5'] # set the indexsr.index = idx # Convert the underlying data to datetime sr = pd.to_datetime(sr) # Print the seriesprint(sr) |
Output :
Now we will use Series.dt.year attribute to return the year of the datetime in the underlying data of the given Series object.
# return the yearresult = sr.dt.year # print the resultprint(result) |
Output :
As we can see in the output, the Series.dt.year attribute has successfully accessed and returned the year of the datetime in the underlying data of the given series object.
Example #2 : Use Series.dt.year attribute to return the year of the datetime in the underlying data of the given Series object.
# importing pandas as pdimport pandas as pd # Creating the Seriessr = pd.Series(pd.date_range('2012-12-12 12:12', periods = 5, freq = 'H')) # Creating the indexidx = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5'] # set the indexsr.index = idx # Print the seriesprint(sr) |
Output :
Now we will use Series.dt.year attribute to return the year of the datetime in the underlying data of the given Series object.
# return the yearresult = sr.dt.year # print the resultprint(result) |
Output :
As we can see in the output, the Series.dt.year attribute has successfully accessed and returned the year of the datetime in the underlying data of the given series object.
Last Updated on October 23, 2021 by admin