Python | Pandas PeriodIndex.days_in_month
Last Updated :
06 Sep, 2021
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
import pandas as pd
pidx = pd.PeriodIndex(start = '2005-12-21' ,
end = '2005-12-29' , freq = 'D' )
print (pidx)
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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.
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
import pandas as pd
pidx = pd.PeriodIndex(start = '2011-02-14 ' ,
end = '2011-02-21' , freq = 'D' )
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.
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.
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