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Python | Pandas Period.days_in_month

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  • Last Updated : 06 Jan, 2019

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.days_in_month attribute returns the number of days in the month present in the given Period object.

Syntax : Period.days_in_month

Parameters : None

Return : number of days

Example #1: Use Period.days_in_month 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.days_in_month attribute to find the number of days present in the month represented in the given period object.




# return the number of days
prd.days_in_month

Output :

As we can see in the output, the Period.days_in_month attribute has returned 28 indicating that the month represented in the given period object has 28 days.

Example #2: Use Period.days_in_month 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.days_in_month attribute to find the number of days present in the month represented in the given period object.




# return the number of days
prd.days_in_month

Output :

As we can see in the output, the Period.days_in_month attribute has returned 31 indicating that the month represented in the given period object has 31 days.


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