Extract Month Number from DatetimeIndex in Pandas

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')