Python | Pandas DatetimeIndex.year
Last Updated :
24 Dec, 2018
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 DatetimeIndex.year
attribute outputs an Index object containing the value of years present in the Datetime object.
Syntax: DatetimeIndex.year
Return: Index containing years.
Example #1: Use DatetimeIndex.year
attribute to find the years present in the DatetimeIndex.
import pandas as pd
didx = pd.DatetimeIndex(start = '2014-08-01 10:00' , freq = 'B' ,
periods = 5 , tz = 'Asia/Calcutta' )
print (didx)
|
Output :
Now we want to find all the year values present in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the year value of each entry in the DatetimeIndex object.
&n bsp;
Example #2: Use DatetimeIndex.year
attribute to find the years present in the DatetimeIndex.
import pandas as pd
didx = pd.DatetimeIndex(start = '2014-08-01 10:00' , freq = 'AS' ,
periods = 5 , tz = 'Asia/Calcutta' )
print (didx)
|
Output :
Now we want to find all the year values present in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the year value of each entry in the DatetimeIndex object.
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