Python | Pandas PeriodIndex.dayofyear
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.dayofyear attribute returns an Index object. The Index contains ordinal day of the year for each element in the given PeriodIndex object.
Syntax : PeriodIndex.dayofyear
Parameters : None
Return : Index
Example #1: Use PeriodIndex.dayofyear attribute to find the value of the ordinal days of the year for each element in the given PeriodIndex object.
Python3
# importing pandas as pd import pandas as pd # Create the PeriodIndex object pidx = pd.PeriodIndex(start = '2005-12-21' , end = '2005-12-29' , freq = 'D' ) # Print the PeriodIndex object print (pidx) |
Output :
Now we will use the PeriodIndex.dayofyear attribute to find the value of ordinal days of the year for each element in the given object.
Python3
# return the value of ordinal # days of the year pidx.dayofyear |
Output :
As we can see in the output, the PeriodIndex.dayofyear attribute has returned an Index object containing the value of ordinal days of the year for each element in the given PeriodIndex object.
Example #2: Use PeriodIndex.dayofyear attribute to find the value of the ordinal days of the year for each element in the given PeriodIndex object.
Python3
# importing pandas as pd import pandas as pd # Create the PeriodIndex object pidx = pd.PeriodIndex(start = '2011-03-14 ' , end = '2011-03-21' , freq = 'D' ) # Print the PeriodIndex object print (pidx) |
Output :
Now we will use the PeriodIndex.dayofyear attribute to find the value of ordinal days of the year for each element in the given object.
Python3
# return the value of ordinal # days of the year pidx.dayofyear |
Output :
As we can see in the output, the PeriodIndex.dayofyear attribute has returned an Index object containing the value of ordinal days of the year for each element in the given PeriodIndex object.