Python | Pandas PeriodIndex.year

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas PeriodIndex.year attribute return an Index object containing the year value of each period element in the given PeriodIndex object.

Syntax : PeriodIndex.year Parameters : None Return : Index object

Example #1: Use PeriodIndex.year attribute to find out the year of the period for each element in the given PeriodIndex object. Python3

# importing pandas as pd
import pandas as pd

# Create the PeriodIndex object
pidx = pd.PeriodIndex(start ='2004-11-11 02:45:21 ',
                end ='2021-5-21 8:45:29', freq ='Y')

# Print the PeriodIndex object
print(pidx)

Output : Now we will use the PeriodIndex.year attribute to find out the year value of each period element in the given PeriodIndex object. Python3

# return the year of each period
pidx.year

Output : As we can see in the output, the PeriodIndex.year attribute has returned an Index object containing the year of period for each element in the given PeriodIndex object.   Example #2: Use PeriodIndex.year attribute to find out the year of the period for each element in the given PeriodIndex object. Python3

# importing pandas as pd
import pandas as pd

# Create the PeriodIndex object
pidx = pd.PeriodIndex(start ='2016-10-12 11:12:02', 
             end ='2017-04-12 11:32:12', freq ='M')

# Print the PeriodIndex object
print(pidx)

Output : Now we will use the PeriodIndex.year attribute to find out the year value of each period element in the given PeriodIndex object. Python3

# return the year of each period
pidx.year

Output : As we can see in the output, the PeriodIndex.year attribute has returned an Index object containing the year of period for each element in the given PeriodIndex object.