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 Period.daysinmonth attribute returns the number of days in the month present in the given Period object.
Syntax : Period.daysinmonth
Parameters : None
Return : number of days
Example #1: Use Period.daysinmonth attribute to find the number of days present in the month in the given Period object.
# importing pandas as pd import pandas as pd   # Create the Period object prd = pd.Period(freq ='D', year = 2001, month = 2, day = 21)   # Print the Period object print(prd) |
Output :
Now we will use the Period.daysinmonth attribute to find the number of days present in the month represented in the given period object.
# return the number of days prd.daysinmonth |
Output :
As we can see in the output, the Period.daysinmonth attribute has returned 28 indicating that the month represented in the given period object has 28 days.
Example #2: Use Period.daysinmonth attribute to find the number of days present in the month in the given Period object.
# importing pandas as pd import pandas as pd   # Create the Period object prd = pd.Period(freq ='Q', year = 2006, quarter = 1)   # Print the object print(prd) |
Output :
Now we will use the Period.daysinmonth attribute to find the number of days present in the month represented in the given period object.
# return the number of days prd.daysinmonth |
Output :
As we can see in the output, the Period.daysinmonth attribute has returned 31 indicating that the month represented in the given period object has 31 days.
