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.day
attribute returns the day of the month for the given Period object. It returns an integer value.
Syntax : Period.day
Parameters : None
Return : day
Example #1: Use Period.day
attribute to find the day 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 = 1 , day = 21 )
# Print the Period object print (prd)
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Output :
Now we will use the Period.day
attribute to find the day of the month in the given object.
# return the day value prd.day |
Output :
As we can see in the output, the Period.day
attribute has returned 21 which is the value of day in the given period object.
Example #2: Use Period.day
attribute to find the day 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.day
attribute to find the day of the month in the given object.
# return the day value prd.day |
Output :
As we can see in the output, the Period.day
attribute has returned 31 which is the value of day in the given period object.