To extract the ordinal day of year from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.dayofyear property
At first, import the required libraries −
import pandas as pd
Create a DatetimeIndex with period 6 and frequency as D i.e. day −
datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='D')
Display DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)
Get the day of year −
print("\nGet the ordinal day of year..\n",datetimeindex.dayofyear)
Example
Following is the code −
import pandas as pd # DatetimeIndex with period 6 and frequency as D i.e. day # The timezone is Australia/Sydney datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='D') # display DateTimeIndex print("DateTimeIndex...\n", datetimeindex) # display DateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) # get the day of year print("\nGet the ordinal day of year..\n",datetimeindex.dayofyear)
Output
This will produce the following code −
DateTimeIndex... DatetimeIndex(['2021-10-20 02:30:50+11:00', '2021-10-21 02:30:50+11:00', '2021-10-22 02:30:50+11:00', '2021-10-23 02:30:50+11:00', '2021-10-24 02:30:50+11:00', '2021-10-25 02:30:50+11:00'], dtype='datetime64[ns, Australia/Sydney]', freq='D') DateTimeIndex frequency... <Day> Get the ordinal day of year.. Int64Index([293, 294, 295, 296, 297, 298], dtype='int64')