Python Pandas - Extract month number from the DateTimeIndex with specific time series frequency

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')

Updated on: 19-Oct-2021

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