Python | Pandas PeriodIndex.days_in_month

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.days_in_month attribute returns an Index object. The Index contains the number of days in the month for each element in the given PeriodIndex object.

Syntax : PeriodIndex.days_in_month
Parameters : None
Return : Index 

Example #1: Use PeriodIndex.days_in_month attribute to find the number of days in the month 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.days_in_month attribute to find the number of days in the month for each element in the given object.

Python3

# return the number of days in month
pidx.days_in_month

Output : 

As we can see in the output, the PeriodIndex.days_in_month attribute has returned an Index object containing the number of days in the month for each element in the given PeriodIndex object.
Example #2: Use PeriodIndex.days_in_month attribute to find the number of days in the month 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 ='2011-02-14 ',
             end ='2011-02-21', freq ='D')

# Print the PeriodIndex object
print(pidx)

Output : 

Now we will use the PeriodIndex.days_in_month attribute to find the number of days in the month for each element in the given object.

Python3

# return the number of days in month
pidx.days_in_month

Output : 

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