Python | Pandas DatetimeIndex.quarter
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.quarter
attribute outputs the quarter of the date for each entries in the DatetimeIndex object.
Syntax: DatetimeIndex.quarter
Return: Index object
Example #1: Use DatetimeIndex.quarter
attribute to find the quarter of the date for each entries in the DatetimeIndex object.
import pandas as pd
didx = pd.DatetimeIndex(start = '2014-08-01 10:05:45' , freq = 'M' ,
periods = 5 , tz = 'Asia/Calcutta' )
print (didx)
|
Output :
Now we want to find quarter of the date for each entries in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the quarter value of the date for each entry of the DatetimeIndex object.
Example #2: Use DatetimeIndex.quarter
attribute to find the quarter of the date for each entries in the DatetimeIndex object.
import pandas as pd
didx = pd.DatetimeIndex(start = '2000-01-10 06:30' , freq = 'Q' ,
periods = 5 , tz = 'Asia/Calcutta' )
print (didx)
|
Output :
Now we want to find quarter of the date for each entries in the DatetimeIndex object.
Output :
As we can see in the output, the function has returned an Index object containing the quarter value of the date for each entry of the DatetimeIndex object.
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