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.dayofyear attribute returns the day of the year for the given Period object. It returns an integer value.
Syntax : Period.dayofyear
Parameters : None
Return : day of the year
Example #1: Use Period.dayofyear attribute to find the day of the year 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) |
Output :
Now we will use the Period.dayofyear attribute to find the day of the year in the given object.
# return the day value prd.dayofyear |
Output :
As we can see in the output, the Period.dayofyear attribute has returned 21 indicating that the following date was the 21st day of the year.
Example #2: Use Period.dayofyear attribute to find the day of the year 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.dayofyear attribute to find the day of the year in the given object.
# return the day value prd.dayofyear |
Output :
As we can see in the output, the Period.dayofyear attribute has returned 90 indicating that the following date was the 90th day of the year.
