To extract year from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.day property.
At first, import the required libraries −
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 02:35:55', periods=6, tz='Australia/Sydney',freq='D')
Display DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)
Get the day −
print("\nGetting the day..\n",datetimeindex.day)
Example
Following is the code −
import pandas as pd # DatetimeIndex with period 6 and frequency as D i.e. day # timezone is Australia/Sydney datetimeindex = pd.date_range('2021-10-20 02:35:55', 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 print("\nGetting the day..\n",datetimeindex.day)
Output
This will produce the following output −
DateTimeIndex... DatetimeIndex(['2021-10-20 02:35:55+11:00', '2021-10-21 02:35:55+11:00', '2021-10-22 02:35:55+11:00', '2021-10-23 02:35:55+11:00', '2021-10-24 02:35:55+11:00', '2021-10-25 02:35:55+11:00'], dtype='datetime64[ns, Australia/Sydney]', freq='D') DateTimeIndex frequency... <Day> Getting the day.. Int64Index([20, 21, 22, 23, 24, 25], dtype='int64')