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Python Pandas - Return the Period object as a timestamp with yearly frequency
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
Updated on: 20-Oct-2021
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