Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas Timestamp.timestamp()
function return the time expressed as the number of seconds that have passed since January 1, 1970. That zero moment is known as the epoch.
Syntax :Timestamp.timestamp()
Parameters : None
Return : number of seconds since zero moment
Example #1: Use Timestamp.timestamp()
function to return the number of seconds that has passed since the zero moment for the given Timestamp object.
import pandas as pd
ts = pd.Timestamp(year = 2011 , month = 11 , day = 21 ,
hour = 10 , second = 49 , tz = 'US/Central' )
print (ts)
|
Output :

Now we will use the Timestamp.timestamp()
function to find the number of seconds that has passed.
Output :

As we can see in the output, the Timestamp.timestamp()
function has returned a float value indicating this many seconds has passed since the epoch for the given Timestamp object.
Example #2: Use Timestamp.timestamp()
function to return the number of seconds that has passed since the zero moment for the given Timestamp object.
import pandas as pd
ts = pd.Timestamp(year = 2009 , month = 5 , day = 31 ,
hour = 4 , second = 49 , tz = 'Europe/Berlin' )
print (ts)
|
Output :

Now we will use the Timestamp.timestamp()
function to find the number of seconds that has passed.
Output :

As we can see in the output, the Timestamp.timestamp()
function has returned a float value indicating this many seconds has passed since the epoch for the given Timestamp object.
Whether you're preparing for your first job interview or aiming to upskill in this ever-evolving tech landscape,
GeeksforGeeks Courses are your key to success. We provide top-quality content at affordable prices, all geared towards accelerating your growth in a time-bound manner. Join the millions we've already empowered, and we're here to do the same for you. Don't miss out -
check it out now!
Last Updated :
21 Jan, 2019
Like Article
Save Article