Return Period Object as Timestamp with Yearly Frequency in Python Pandas

To return the Period object as a timestamp with yearly frequency, use the period.to_timestamp() method and set the freq parameter as ‘Y’.

At first, import the required libraries −

import pandas as pd

The pandas.Period represents a period of time. Creating a Period object

period = pd.Period(freq="S", year = 2021, month = 9, day = 18, hour = 17, minute = 20, second = 45)

Display the Period object

print("Period...\n", period)

Return the Timestamp representation of the Period object. We have set the frequency using the "freq" parameter. The frequency is set as 'Y' i.e. yearly

print("\nPeriod to Timestamp with yearly (year-end) frequency...\n", period.to_timestamp(freq='Y'))

Example

Following is the code

import pandas as pd

# The pandas.Period represents a period of time
# Creating a Period object
period = pd.Period(freq="S", year = 2021, month = 9, day = 18, hour = 17, minute = 20, second = 45)

# display the Period object
print("Period...\n", period)

# Return the Timestamp representation of the Period object
# We have set the frequency using the "freq" parameter
# The frequency is set as 'Y' i.e. yearly
print("\nPeriod to Timestamp with yearly (year-end) frequency...\n", period.to_timestamp(freq='Y'))

Output

This will produce the following code

Period...
2021-09-18 17:20:45

Period to Timestamp with yearly (year-end) frequency...
2021-12-31 00:00:00