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Python | Pandas PeriodIndex.quarter

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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.quarter attribute return an Index object containing the quarter of the date for each period in the given PeriodIndex object.

Syntax : PeriodIndex.quarter

Parameters : None

Return : Index object

Example #1: Use PeriodIndex.quarter attribute to find out the quarter of the date for each period in the given PeriodIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the PeriodIndex object
pidx = pd.PeriodIndex(start ='2003-4-21 08:45 ',
              end ='2003-12-21 8:55', freq ='Q')
  
# Print the PeriodIndex object
print(pidx)


Output :

Now we will use the PeriodIndex.quarter attribute to find out the quarter of the date for each period in pidx.




# return the quarter of each date
pidx.quarter


Output :

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




# importing pandas as pd
import pandas as pd
  
# Create the PeriodIndex object
pidx = pd.PeriodIndex(start ='2016-8-12 11:32'
            end ='2017-04-05 11:55', freq ='M')
  
# Print the PeriodIndex object
print(pidx)


Output :

Now we will use the PeriodIndex.quarter attribute to find out the quarter of the date for each period in pidx.




# return the quarter of each date
pidx.quarter


Output :

As we can see in the output, the PeriodIndex.quarter attribute has returned an Index object containing the quarter value for the given PeriodIndex object.



Last Updated : 06 Jan, 2019
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