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.
Python3
# importing pandas as pdimport pandas as pd# Create the PeriodIndex objectpidx = pd.PeriodIndex(start ='2005-12-21', end ='2005-12-29', freq ='D')# Print the PeriodIndex objectprint(pidx) |
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.
Python3
# return the number of days in monthpidx.daysinmonth |
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 object.
Example #2: Use PeriodIndex.daysinmonth attribute to find the number of days in the month for each element in the given PeriodIndex object.
Python3
# importing pandas as pdimport pandas as pd# Create the PeriodIndex objectpidx = pd.PeriodIndex(start ='2011-02-14 ', end ='2011-02-21', freq ='D')# Print the PeriodIndex objectprint(pidx) |
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.
Python3
# return the number of days in monthpidx.daysinmonth |
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 object.
