Python | Pandas Timestamp.quarter
Last Updated :
08 Jan, 2019
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 Timestamp.quarter
attribute return an integer value which represents the quarter in which the date of the given Timestamp object lies.
Syntax : Timestamp.quarter
Parameters : None
Return : quarter
Example #1: Use Timestamp.quarter
attribute to find in which quarter the date of the given Timestamp object lies.
import pandas as pd
ts = pd.Timestamp( 2016 , 1 , 1 , 12 , 25 , 16 , 28 , 32 )
print (ts)
|
Output :
Now we will use the Timestamp.quarter
attribute to print the quarter in which the date in the ts object falls.
Output :
As we can see in the output, the Timestamp.quarter
attribute has returned 1 indicating that the date in the ts object falls in the first quarter of the year.
Example #2: Use Timestamp.quarter
attribute to find in which quarter the date of the given Timestamp object lies.
import pandas as pd
ts = pd.Timestamp(year = 2009 , month = 5 , day = 31 , hour = 4 ,
nanosecond = 15 , tz = 'Europe/Berlin' )
print (ts)
|
Output :
Now we will use the Timestamp.quarter
attribute to print the quarter in which the date in the ts object falls.
Output :
As we can see in the output, the Timestamp.quarter
attribute has returned 2 indicating that the date in the ts object falls in the second quarter of the year.
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