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Python | Pandas PeriodIndex.day

Last Updated : 25 Aug, 2021
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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.day attribute returns an Index object containing the value of the days for each element in the given PeriodIndex object.
 

Syntax : PeriodIndex.day
Parameters : None
Return : days
 

Example #1: Use PeriodIndex.day attribute to find the value of the days 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 ='2005-12-21',
             end ='2005-12-29', freq ='D')
 
# Print the PeriodIndex object
print(pidx)


Output : 
 

Now we will use the PeriodIndex.day attribute to find the value of days for each element in the given object.
 

Python3




# return the value of days
pidx.day


Output : 
 

As we can see in the output, the PeriodIndex.day attribute has returned an Index object containing the value of days for each element in the given PeriodIndex object.
Example #2: Use PeriodIndex.day attribute to find the value of the days 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 ='2011-03-14 ',
              end ='2011-03-21', freq ='D')
 
# Print the PeriodIndex object
print(pidx)


Output : 
 

Now we will use the PeriodIndex.day attribute to find the value of days for each element in the given object.
 

Python3




# return the value of days
pidx.day


Output : 
 

As we can see in the output, the PeriodIndex.day attribute has returned an Index object containing the value of days for each element in the given PeriodIndex object.
 



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