Series.dt
can be used to access the values of the series as datetimelike and return several properties. Pandas Series.dt.dayofyear
attribute return the ordinal day of the year in the underlying datetime based data in the given series object.
Syntax: Series.dt.dayofyear
Parameter : None
Returns : numpy array
Example #1: Use Series.dt.dayofyear
attribute to return the ordinal day of the year in the underlying data of the given Series object.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series([ '2012-10-21 09:30' , '2019-7-18 12:30' , '2008-02-2 10:30' , '2010-4-22 09:25' , '2019-11-8 02:22' ]) # Creating the index idx = [ 'Day 1' , 'Day 2' , 'Day 3' , 'Day 4' , 'Day 5' ] # set the index sr.index = idx # Convert the underlying data to datetime sr = pd.to_datetime(sr) # Print the series print (sr) |
Output :
Now we will use Series.dt.dayofyear
attribute to return the ordinal day of the year in the datetime based data in the given series object.
# return the day of year result = sr.dt.dayofyear # print the result print (result) |
Output :
As we can see in the output, the Series.dt.dayofyear
attribute has successfully accessed and returned the day of year in the underlying data of the given series object.
Example #2 : Use Series.dt.dayofyear
attribute to return the ordinal day of the year in the underlying data of the given Series object.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(pd.date_range( '2012-12-12 12:12' , periods = 5 , freq = 'M' )) # Creating the index idx = [ 'Day 1' , 'Day 2' , 'Day 3' , 'Day 4' , 'Day 5' ] # set the index sr.index = idx # Print the series print (sr) |
Output :
Now we will use Series.dt.dayofyear
attribute to return the ordinal day of the year in the datetime based data in the given series object.
# return the day of year result = sr.dt.dayofyear # print the result print (result) |
Output :
As we can see in the output, the Series.dt.dayofyear
attribute has successfully accessed and returned the day of year in the underlying data of the given series object.