Python Pandas - Convert given Timestamp to Period with weekly frequency

To convert given Timestamp to Period, use the timestamp.to_period() method. Within that, set the frequency using the freq parameter. For weekly frequency, set freq as W.

At first, import the required libraries −

import pandas as pd

Create the timestamp object in Pandas

timestamp = pd.Timestamp(2021, 9, 18, 11, 50, 20, 33) 

Convert timestamp to Period. We have set the frequency as weekly using the "freq" parameter with value 'W'

timestamp.to_period(freq='W')

Example

Following is the code

 import pandas as pd # set the timestamp object in Pandas timestamp = pd.Timestamp(2021, 9, 18, 11, 50, 20, 33) # display the Timestamp print("Timestamp...\n", timestamp) # convert timestamp to Period # we have set the frequency as weekly using the "freq" parameter with value 'W' print("\nTimestamp to Period with weekly frequency...\n", timestamp.to_period(freq='W'))

Output

This will produce the following code

 Timestamp...  2021-09-18 11:50:20.000033 Timestamp to Period with weekly frequency... 2021-09-13/2021-09-19