Python | Pandas PeriodIndex.daysinmonth

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.daysinmonth 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.daysinmonth



Parameters : None

Return : Index

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

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# 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)

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Output :

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

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# return the number of days in month
pidx.daysinmonth

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Output :

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

Example #2: Use PeriodIndex.daysinmonth attribute to find the number of days in the month for each element in the given PeriodIndex object.

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# 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)

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Output :


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

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# return the number of days in month
pidx.daysinmonth

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Output :

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



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