Python Pandas - How to convert DateTimeIndex to Period

To convert DateTimeIndex to Period, use the datetimeindex.to_period() method in Pandas. The frequency is set using the freq parameter.

At first, import the required libraries −

import pandas as pd

Create a DatetimeIndex with period 5 and frequency as Y i.e. year −

datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, freq='2Y') 

Display DateTimeIndex −

print("DateTimeIndex...\n", datetimeindex)

Convert DateTimeIndex to Period. We have set the frequency as Month using the "freq" parameter with value 'M' −

print("\nConvert DateTimeIndex to Period...\n", datetimeindex.to_period(freq='M'))

Example

Following is the code −

import pandas as pd # DatetimeIndex with period 5 and frequency as Y i.e. year # timezone is Australia/Adelaide datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, freq='2Y') # display DateTimeIndex print("DateTimeIndex...\n", datetimeindex) # display DateTimeIndex frequency print("DateTimeIndex frequency...\n", datetimeindex.freq) # Convert DateTimeIndex to Period # We have set the frequency as Month using the "freq" parameter with value 'M' print("\nConvert DateTimeIndex to Period...\n", datetimeindex.to_period(freq='M'))

Output

This will produce the following code −

DateTimeIndex... DatetimeIndex(['2021-12-31 07:20:32.261811624', '2023-12-31 07:20:32.261811624', '2025-12-31 07:20:32.261811624', '2027-12-31 07:20:32.261811624', '2029-12-31 07:20:32.261811624'], dtype='datetime64[ns]', freq='2A-DEC') DateTimeIndex frequency... <2 * YearEnds: month=12> Convert DateTimeIndex to Period... PeriodIndex(['2021-12', '2023-12', '2025-12', '2027-12', '2029-12'], dtype='period[M]')