To extract month number from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.month property.
At first, import the required libraries −
import pandas as pd
DatetimeIndex with period 6 and frequency as M i.e. month. The timezone is Australia/Sydney −
datetimeindex = pd.date_range('2021-09-24 02:35:55', periods=6, tz='Australia/Sydney',freq='M')
Display DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)
Get the month number i.e. January=1, february=2, ..., December=12 −
print("\nGetting the month number..\n",datetimeindex.month)
Example
Following is the code −
import pandas as pd # DatetimeIndex with period 6 and frequency as M i.e. month # timezone is Australia/Sydney datetimeindex = pd.date_range('2021-09-24 02:35:55', periods=6, tz='Australia/Sydney',freq='M') # display DateTimeIndex print("DateTimeIndex...\n", datetimeindex) # display DateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) # get the month number i.e. January=1, february=2, ..., December=12 print("\nGetting the month number..\n",datetimeindex.month)
Output
This will produce the following output −
DateTimeIndex... DatetimeIndex(['2021-09-30 02:35:55+10:00', '2021-10-31 02:35:55+11:00', '2021-11-30 02:35:55+11:00', '2021-12-31 02:35:55+11:00', '2022-01-31 02:35:55+11:00', '2022-02-28 02:35:55+11:00'], dtype='datetime64[ns, Australia/Sydney]', freq='M') DateTimeIndex frequency... <MonthEnd> Getting the month number.. Int64Index([9, 10, 11, 12, 1, 2], dtype='int64')